In the early days of product development, the technology is inferior and lacking in performance. The focus is very much on the technology itself. The users are enthusiast who like the idea of the product, find use for it, and except the lack of performance. Then as the product becomes more mature, other factors become important, such as price, design, features, portability. The product moves from being a technology to become a consumer item, and even a community.
In this lecture we explore the change from technology focus to consumer focus, and look at why people stand in line overnight to buy the latest gadgets.
History has many examples of great innovators who had difficult time convincing their contemporaries of new technology. Even incumbent and powerful companies regarded new technologies as inferior and dismissed it as "toys". Then when disruptive technologies take off they often are overhyped and can cause bubbles like the Internet bubble of the late 1990s.
In this lecture we look at some examples of disruptive technologies and the impact they had. We look at the The Disruptive Innovation Theory by Harvard Professor Clayton Christensen.
At any given moment it is easy to look back to see how technology has changed over time. At the same time it is difficult to see what transformations are taking place in current moment, and even more difficult to see where things are going.
We will explore what technology is. For us it may be the latest tech stuff we see, something new. But what about everyday objects that we take for granted. Are those not technologies also?
How does technology evolve and where did it come from? We look at some ideas on evolution of technology and how it is similar to biology in some ways. We will also look at the origin of the word technology. Finally we will define the term we will use in the course. Terms defined are technology, product performance, and innovation to name few.
At any given moment it is easy to look back to see how technology has changed over time. At the same time it is difficult to see what transformations are taking place in current moment, and even more difficult to see where things are going.
We will explore what technology is. For us it may be the latest tech stuff we see, something new. But what about everyday objects that we take for granted. Are those not technologies also?
How does technology evolve and where did it come from? We look at some ideas on evolution of technology and how it is similar to biology in some ways. We will also look at the origin of the word technology. Finally we will define the term we will use in the course. Terms defined are technology, product performance, and innovation to name few.
The document discusses the concept of the adjacent possible, which is the idea that inventions emerge when the necessary enabling technologies are available to support them. It provides examples throughout history of how this has occurred, such as the telephone being invented in 1876 because the necessary technologies of electricity, wires, and batteries were available, whereas they were not in 1826. It also discusses concepts like Moore's Law, exponential growth, enabling technologies, prevailing technologies, layers of technology, and how perceptions of what is possible can limit or enable new innovations.
One of the great irony of successful companies is how easily they can fail. New companies are founded to take advantage of some new technology. They become highly successful and but when the technology shifts, something new comes along, they are unable to adapt and fail. This is the innovator’s dilemma.
Then there are companies that manage to survive. For example, Kodak survived two platform shift, only til fail the third. IBM has survived over 100 years. What do successful companies do differently?
In the early days of product development, the technology is inferior and lacking in performance. The focus is very much on the technology itself. The users are enthusiast who like the idea of the product, find use for it, and except the lack of performance. Then as the product becomes more mature, other factors become important, such as price, design, features, portability. The product moves from being a technology to become a consumer item, and even a commodity.
In this lecture we explore the change from technology focus to consumer focus, and look at why people stand in line overnight to buy the latest gadgets.
This document summarizes a lecture about the diffusion of innovation. It discusses how new ideas are developed through collaboration and exchange. It also discusses how innovations diffuse slowly at first, gaining momentum over time as they are adopted by pragmatists and conservatives seeking convenient solutions. The rate of adoption follows an S-curve, with innovators and enthusiasts driving early adoption and the mass market adopting later. Customers' motivations for adoption change over time, initially valuing the innovation's benefits and later valuing its functionality. Factors like network effects, convenience, and compatibility influence adoption rates.
In the early days of product development, the technology is inferior and lacking in performance. The focus is very much on the technology itself. The users are enthusiast who like the idea of the product, find use for it, and except the lack of performance. Then as the product becomes more mature, other factors become important, such as price, design, features, portability. The product moves from being a technology to become a consumer item, and even a community.
In this lecture we explore the change from technology focus to consumer focus, and look at why people stand in line overnight to buy the latest gadgets.
History has many examples of great innovators who had difficult time convincing their contemporaries of new technology. Even incumbent and powerful companies regarded new technologies as inferior and dismissed it as "toys". Then when disruptive technologies take off they often are overhyped and can cause bubbles like the Internet bubble of the late 1990s.
In this lecture we look at some examples of disruptive technologies and the impact they had. We look at the The Disruptive Innovation Theory by Harvard Professor Clayton Christensen.
At any given moment it is easy to look back to see how technology has changed over time. At the same time it is difficult to see what transformations are taking place in current moment, and even more difficult to see where things are going.
We will explore what technology is. For us it may be the latest tech stuff we see, something new. But what about everyday objects that we take for granted. Are those not technologies also?
How does technology evolve and where did it come from? We look at some ideas on evolution of technology and how it is similar to biology in some ways. We will also look at the origin of the word technology. Finally we will define the term we will use in the course. Terms defined are technology, product performance, and innovation to name few.
At any given moment it is easy to look back to see how technology has changed over time. At the same time it is difficult to see what transformations are taking place in current moment, and even more difficult to see where things are going.
We will explore what technology is. For us it may be the latest tech stuff we see, something new. But what about everyday objects that we take for granted. Are those not technologies also?
How does technology evolve and where did it come from? We look at some ideas on evolution of technology and how it is similar to biology in some ways. We will also look at the origin of the word technology. Finally we will define the term we will use in the course. Terms defined are technology, product performance, and innovation to name few.
The document discusses the concept of the adjacent possible, which is the idea that inventions emerge when the necessary enabling technologies are available to support them. It provides examples throughout history of how this has occurred, such as the telephone being invented in 1876 because the necessary technologies of electricity, wires, and batteries were available, whereas they were not in 1826. It also discusses concepts like Moore's Law, exponential growth, enabling technologies, prevailing technologies, layers of technology, and how perceptions of what is possible can limit or enable new innovations.
One of the great irony of successful companies is how easily they can fail. New companies are founded to take advantage of some new technology. They become highly successful and but when the technology shifts, something new comes along, they are unable to adapt and fail. This is the innovator’s dilemma.
Then there are companies that manage to survive. For example, Kodak survived two platform shift, only til fail the third. IBM has survived over 100 years. What do successful companies do differently?
In the early days of product development, the technology is inferior and lacking in performance. The focus is very much on the technology itself. The users are enthusiast who like the idea of the product, find use for it, and except the lack of performance. Then as the product becomes more mature, other factors become important, such as price, design, features, portability. The product moves from being a technology to become a consumer item, and even a commodity.
In this lecture we explore the change from technology focus to consumer focus, and look at why people stand in line overnight to buy the latest gadgets.
This document summarizes a lecture about the diffusion of innovation. It discusses how new ideas are developed through collaboration and exchange. It also discusses how innovations diffuse slowly at first, gaining momentum over time as they are adopted by pragmatists and conservatives seeking convenient solutions. The rate of adoption follows an S-curve, with innovators and enthusiasts driving early adoption and the mass market adopting later. Customers' motivations for adoption change over time, initially valuing the innovation's benefits and later valuing its functionality. Factors like network effects, convenience, and compatibility influence adoption rates.
This lecture discusses the diffusion of innovation and factors that influence customers' adoption of new technologies. It explores why some good products fail while inferior products succeed, examining examples like the Edison phonograph, Sony Betamax, Apple Lisa. The lecture covers the technology adoption life cycle and how customers' motivations change over time, from the innovators focused on why to the early and late majorities focused on what. It also discusses Apple's success in relation to starting with why and crossing the chasm. Other topics covered include the tipping point, adjacent possible, and Anderson's grand unified theory of technology trends.
Technology evolves in big waves that we call revolutions. The first revolution was the Industrial revolution that started in Britain in 1771. Since than we have see more revolutions come and how we are in the fifth. These revolutions follow a similar path. First there is an installation period where the new technologies are installed and deployed, creating wealth to those who were are the right place at the right time. This is followed by a frenzy, where financial markets wants to be apart. The there is crash and turning point, followed by synergy, a golden age.
In 1908, a new technological revolution started. It was the Age of Oil and Automobile. The technology trigger was Henry Ford´s new assembly line technique that allowed the manufacturing of standardized, low cost automobile. This created the car industry and other manufacturing companies. This also created demand for gas thus creating the oil industry. During the Roaring Twenties the stock prices rose to new levels, until a crash and the Great Depression. Only after World War II, came a turnaround point followed by a golden age in the post-war boom.
In this lecture we look at a framework for understanding technological revolutions. There revolutions completely change societies and replace the old with new technologies. We will explore how these revolutions take place. We should now be in the golden age phase.
We also look at generations.
History has many examples of great innovators who had difficult time convincing their contemporaries of new technology. Even incumbent and powerful companies regarded new technologies as inferior and dismissed it as "toys". Then when disruptive technologies take off they often are overhyped and can cause bubbles like the Internet bubble of the late 1990s.
In this lecture we look at some examples of disruptive technologies and the impact they had. We look at the The Disruptive Innovation Theory by Harvard Professor Clayton Christensen.
For the most time of human history, life was local and linear. Local in the way that anything that happened was close by, a least within a walking distance. Linear in the way that your life was the same as your parents and your children. Nothing ever changed.
Just like the evolution of man, technology improvements follow an evolutionary progress. New ideas or products are to begin with immature and fragile with slow improvements. Then the progress accelerates until the products become mature and taken for granted. Then the cycle repeats and a new layer of technology is added to the previous. This process is exponential. One such observation of exponential is Moore’s Law.
We will explore what exponential means. We look at Moore´s law and The Law of the Accelerating returns.
At any given moment it is easy to look back to see how technology has changed over time. At the same time it is difficult to see what transformations are taking place in current moment, and even more difficult to see where things are going.
We will explore what technology is. For us it may be the latest tech stuff we see, something new. But what about everyday objects that we take for granted. Are those not technologies also?
How does technology evolve and where did it come from? We look at some ideas on evolution of technology and how it is similar to biology in some ways. We will also look at the origin of the word technology. Finally we will define the term we will use in the course. Terms defined are technology, product performance, and innovation to name few.
In the early days of product development, the technology is inferior and lacking in performance. The focus is very much on the technology itself. The users are enthusiast who like the idea of the product, find use for it, and except the lack of performance. Then as the product becomes more mature, other factors become important, such as price, design, features, portability. The product moves from being a technology to become a consumer item, and even a community.
In this lecture we explore the change from technology focus to consumer focus, and look at why people stand in line overnight to buy the latest gadgets.
For the most time of human history, life was local and linear. Local in the way that anything that happened was close by, a least within a walking distance. Linear in the way that your life was the same as your father and your childs. Nothing changed.
Just like the evolution of man, technology improvements follow an evolutionary progress. New ideas or products are to begin with immature and fragile with slow improvements. Then the progress accelerates until the products become mature and taken for granted. Then the cycle repeats and a new layer of technology is added to the previous. This process is exponential. One such observation of exponential is Moore’s Law.
We will explore what exponential means. We look at Moore´s law and The Law of the Accelerating returns.
At any given moment it is easy to look back to see how technology has changed over time. At the same time it is difficult to see what transformations are taking place in current moment, and even more difficult to see where things are going.
We will explore what technology is. For us it may be the latest tech stuff we see, something new. But what about everyday objects that we take for granted. Are those not technologies also?
How does technology evolve and where did it come from? We look at some ideas on evolution of technology and how it is similar to biology in some ways. We will also look at the origin of the word technology. Finally we will define the term we will use in the course. Terms defined are technology, product performance, and innovation to name few.
At any given time, with all the knowledge we have, new knowledge can emerge. We call this the adjacent possible. It explains why new inventions are invented when they are, and why they are not possible before. Adjacent possible is a very useful term to understand the progress of technology. Technology evolves by using prevailing technologies to improve upon. Thus technology is combinatorial and built in layers. With each layer new ideas can be built upon the previous layers. Thus Gall´s Law says that any complex system that works is built of simpler systems that work.
We will look at the adjacent possible and some ideas that came when all the enabling technologies are available. We also look at an idea that was not possible to build at the time, Charles Babbage engines.
When innovators try to envision how people will use their product they often have different ideas on what people want. Products that are of superior technology may fail and inferior succeed, only because the inferior product has some features that people are looking for.
In this lecture we look at how new products or technologies get adopted my markets. We look at the Law of Diffusion of Innovation, which explains how this adoption happens. We also look at what it takes for a new innovation to move from being a visionary idea to a practical product, or crossing the chasm. Finally we explore the hype cycle.
In this lecture we look at how innovation happens. We look at the slow hunch, the liquid network, the hummingbird effect, and serendipity.
Technology evolves in big waves that we call revolutions. The first revolution was the Industrial revolution that started in Britain in 1771. Since than we have see more revolutions come and how we are in the fifth. These revolutions follow a similar path. First there is an installation period where the new technologies are installed and deployed, creating wealth to those who were are the right place at the right time. This is followed by a frenzy, where financial markets wants to be apart. The there is crash and turning point, followed by synergy, a golden age.
In 1908, a new technological revolution started. It was the Age of Oil and Automobile. The technology trigger was Henry Ford´s new assembly line technique that allowed the manufacturing of standardized, low cost automobile. This created the car industry and other manufacturing companies. This also created demand for gas thus creating the oil industry. During the Roaring Twenties the stock prices rose to new levels, until a crash and the Great Depression. Only after World War II, came a turnaround point followed by a golden age in the post-war boom.
In this lecture we look at a framework for understanding technological revolutions. There revolutions completely change societies and replace the old with new technologies. We will explore how these revolutions take place. We should now be in the golden age phase.
We also look at generations.
Technology is one of the factors of change. When new disruptive technology is introduced, it can change industries. We have many examples of that and will start this journey it one of the most important innovation that has come in our lifetimes, the smartphone. We will explore the impact of the smartphone and the fate of existing companies at the time when iPhone, the first smartphone as we know them, was introduced to the world.
We will also look at other examples from history. Then we look at the broader picture, past industrial revolutions and the one that we are experiencing now, the fourth industrial revolution. Specifically we look briefly at the technologies that fuel this revolution, for example artificial intelligence, robotics, drones, internet of things and more.
Did you know that the term "Computer" once meant a profession? And what did people or computers actually do? They computed mathematical problems. Some problems were tedious and error prone. And it is not surprising that people started to develop machines to aid in the effort. The first mechanical computers were actually created to get rid of errors in human computation. Then came tabulating machines and cash registers. It was not until telephone companies were well established that computing machines became practical.
First computers were huge mainframes, but soon minicomputers like DEC’s PDP started to appear. The transistor was introduced in 1947, but its usefulness was not truly realized until in 1958 when the integrated circuit was invented. This led to the invention of the microprocessor. Intel, in 1971, marketed the 4004 – and the personal computer revolution started. One of the first Personal Computers was MITS’ Altair. This was a simple device and soon others saw the opportunities.
In this lecture we start our coverage of computing and look at some of the early machines and the impact they had.
The Internet grew out of US efforts to build the ARPANET, a network of peer computers built during the cold war. The two major players were military and academia. The network was simple and required no efforts for security or social responsibility. The early Internet community was mainly highly educated and respectable scientist. In the early 1990s the World Wide Web, a hypertext system is introduced, and soon browsers start to appear, leading the commercialization of Net. New businesses emerge and a technology boom known as the dot-com era.
The network, now over 40, is being stretched. Problems such as spam, viruses, antisocial behaviour, and demands for more content are prompting reinvention of the Net and threatening its neutrality. Add to this government efforts to regulate and limit the network.
In this lecture we look at the Internet and the impact of the network. We will also look at the future of the Internet.
The Internet grew out of US efforts to build the ARPANET, a network of peer computers built during the cold war. The two major players were military and academia. The network was simple and required no efforts for security or social responsibility. The early Internet community was mainly highly educated and respectable scientist. In the early 1990s the World Wide Web, a hypertext system is introduced, and soon browsers start to appear, leading the commercialisation of Net. New businesses emerge and a technology boom known as the dot-com era.
The network, now over 40, is being stretched. Problems such as spam, viruses, antisocial behaviour, and demands for more content are prompting reinvention of the Net and threatening its neutrality. Add to this government efforts to regulate and limit the network.
In this lecture we look at the Internet and the impact of the network. We will also look at the future of the Internet.
History has many examples of great innovators who had difficult time convincing their contemporaries of new technology. Even incumbent and powerful companies regarded new technologies as inferior and dismissed it as "toys". Then when disruptive technologies take off they often are overhyped and can cause bubbles like the Internet bubble of the late 1990s.
In this lecture we look at some examples of disruptive technologies and the impact they had. We look at the The Disruptive Innovation Theory by Harvard Professor Clayton Christensen.
Software is changing the way traditional business operate. People now have smartphones in their pockets - a supercomputer that is 25,000 times more powerful and the minicomputers of the 1960s. This is changing people´s behaviour and how people shop and use services. The organizational structure created in the 20th century cannot survive when new digital solution are being offered. Software is changing the way traditional business operate. People now have smartphones in their pockets - a supercomputer that is 25,000 times more powerful and the minicomputers of the 1960s. This is changing people´s behaviour and how people shop and use services. The organisational structure created in the 20th century cannot survive when new digital solution are being offered. The hierarchical structure of these established companies assumes high coordination cost due to human activity. But when the coordination cost drops
The organisational structure that companies in the 20th century established was based on the fact that employees needed to do all the work. The coordination cost was high due to the effort and cost of employees, housing etc. Now we have software that can do this for use and the coordination cost drops to close-to-zero. Another thing is that things become free. Consider Flickr. Anybody can sign up and use the service for free. Only a fraction of the users get pro account and pay. How can Flickr make money on that? It turns out that services like this can.
Many businesses make money by giving things away. How can that possibly work? The music business has suffered severely with digital distribution of content. Should musicians put all there songs on YouTube? What is the future business model for music?
Software is changing the way traditional business operate. People now have smartphones in their pockets - a supercomputer that is 25,000 times more powerful and the minicomputers of the 1960s. This is changing people´s behaviour and how people shop and use services. The organizational structure created in the 20th century cannot survive when new digital solution are being offered. Software is changing the way traditional business operate. People now have smartphones in their pockets - a supercomputer that is 25,000 times more powerful and the minicomputers of the 1960s. This is changing people´s behaviour and how people shop and use services. The organizational structure created in the 20th century cannot survive when new digital solution are being offered. The hierarchical structure of these established companies assumes high coordination cost due to human activity. But when the coordination cost drops
The organizational structure that companies in the 20th century established was based on the fact that employees needed to do all the work. The coordination cost was high due to the effort and cost of employees, housing etc. Now we have software that can do this for use and the coordination cost drops to close-to-zero. Another thing is that things become free. Consider Flickr. Anybody can sign up and use the service for free. Only a fraction of the users get pro account and pay. How can Flickr make money on that? It turns out that services like this can.
Many businesses make money by giving things away. How can that possibly work? The music business has suffered severely with digital distribution of content. Should musicians put all there songs on YouTube? What is the future business model for music?
For the most time of human history, life was local and linear. Local in the way that anything that happened was close by, a least within a walking distance. Linear in the way that your life was the same as your parents and your children. Nothing changed.
Just like the evolution of man, technology improvements follow an evolutionary progress. New ideas or products are to begin with immature and fragile with slow improvements. Then the progress accelerates until the products become mature and taken for granted. Then the cycle repeats and a new layer of technology is added to the previous. This process is exponential. One such observation of exponential is Moore’s Law.
We will explore what exponential means. We look at Moore´s law and The Law of the Accelerating returns.
After the computing industry got started, a new problem quickly emerged. How do you operate this machines and how to you program them. The development of operating systems was relatively slow compared to the advances in hardware. First system were primitive but slowly got better as demand for computing power increased. The ideas of the Graphical User Interfaces or GUI (Gooey) go back to Doug Engelbarts Demo of the Century. However, this did not have much impact on the computer industry. One company though, Xerox, a photocopy company explored these ideas with Palo Alto Park. Steve Jobs of Apple and Bill Gates of Microsoft took notice and Apple introduced first Apple Lisa and the Macintosh.
In this lecture on we look so lessons for the development of software, and see how our business theories apply.
In this lecture on we look so lessons for the development of algorithms or software, and see how our business theories apply.
In the second part we look at where software is going, namely Artificial Intelligence. Resent developments in AI are causing an AI boom and new AI application are coming all the time. We look at machine learning and deep learning to get an understanding of the current trends.
When innovators try to envision how people will use their product they often have different ideas on what people want. Products that are of superior technology may fail and inferior succeed, only because the inferior product has some features that people are looking for.
In this lecture we look at how new products or technologies get adopted my markets. We look at the Law of Diffusion of Innovation, which explains how this adoption happens. We also look at what it takes for a new innovation to move from being a visionary idea to a practical product, or crossing the chasm. Finally we explore the hype cycle.
In this lecture we look at how innovation happens. We look at the slow hunch, the liquid network, the hummingbird effect, and serendipity.
This document provides an introduction to a course on new technology in 2017. It outlines the course topics which will cover various aspects of technological evolution and innovation. The instructor is Ólafur Andri Ragnarsson and resources include required readings, optional readings, websites for keeping up with technology news, and the research paper assignment which will comprise 40% of the course grade. Students will form research study groups to provide peer reviews of draft papers. The course will utilize various online resources and all lectures will be recorded.
Roberto Siagri presented on Eurotech, an Italian company that provides embedded computing and Internet of Things solutions. In 3 sentences:
Eurotech was founded in 1992 and provides embedded computers, IoT platforms, edge computing solutions, and industrial IoT applications for sectors like industrial automation, healthcare, transportation, and energy. The company has grown to 310 employees with 5 global hubs and envisions computers that are increasingly miniaturized and interconnected, with everything revolving around data. Eurotech aims to enable customers to focus on their core skills by meeting the needs of an interconnected planet through embedded and edge computing and industrial IoT solutions.
This lecture discusses the diffusion of innovation and factors that influence customers' adoption of new technologies. It explores why some good products fail while inferior products succeed, examining examples like the Edison phonograph, Sony Betamax, Apple Lisa. The lecture covers the technology adoption life cycle and how customers' motivations change over time, from the innovators focused on why to the early and late majorities focused on what. It also discusses Apple's success in relation to starting with why and crossing the chasm. Other topics covered include the tipping point, adjacent possible, and Anderson's grand unified theory of technology trends.
Technology evolves in big waves that we call revolutions. The first revolution was the Industrial revolution that started in Britain in 1771. Since than we have see more revolutions come and how we are in the fifth. These revolutions follow a similar path. First there is an installation period where the new technologies are installed and deployed, creating wealth to those who were are the right place at the right time. This is followed by a frenzy, where financial markets wants to be apart. The there is crash and turning point, followed by synergy, a golden age.
In 1908, a new technological revolution started. It was the Age of Oil and Automobile. The technology trigger was Henry Ford´s new assembly line technique that allowed the manufacturing of standardized, low cost automobile. This created the car industry and other manufacturing companies. This also created demand for gas thus creating the oil industry. During the Roaring Twenties the stock prices rose to new levels, until a crash and the Great Depression. Only after World War II, came a turnaround point followed by a golden age in the post-war boom.
In this lecture we look at a framework for understanding technological revolutions. There revolutions completely change societies and replace the old with new technologies. We will explore how these revolutions take place. We should now be in the golden age phase.
We also look at generations.
History has many examples of great innovators who had difficult time convincing their contemporaries of new technology. Even incumbent and powerful companies regarded new technologies as inferior and dismissed it as "toys". Then when disruptive technologies take off they often are overhyped and can cause bubbles like the Internet bubble of the late 1990s.
In this lecture we look at some examples of disruptive technologies and the impact they had. We look at the The Disruptive Innovation Theory by Harvard Professor Clayton Christensen.
For the most time of human history, life was local and linear. Local in the way that anything that happened was close by, a least within a walking distance. Linear in the way that your life was the same as your parents and your children. Nothing ever changed.
Just like the evolution of man, technology improvements follow an evolutionary progress. New ideas or products are to begin with immature and fragile with slow improvements. Then the progress accelerates until the products become mature and taken for granted. Then the cycle repeats and a new layer of technology is added to the previous. This process is exponential. One such observation of exponential is Moore’s Law.
We will explore what exponential means. We look at Moore´s law and The Law of the Accelerating returns.
At any given moment it is easy to look back to see how technology has changed over time. At the same time it is difficult to see what transformations are taking place in current moment, and even more difficult to see where things are going.
We will explore what technology is. For us it may be the latest tech stuff we see, something new. But what about everyday objects that we take for granted. Are those not technologies also?
How does technology evolve and where did it come from? We look at some ideas on evolution of technology and how it is similar to biology in some ways. We will also look at the origin of the word technology. Finally we will define the term we will use in the course. Terms defined are technology, product performance, and innovation to name few.
In the early days of product development, the technology is inferior and lacking in performance. The focus is very much on the technology itself. The users are enthusiast who like the idea of the product, find use for it, and except the lack of performance. Then as the product becomes more mature, other factors become important, such as price, design, features, portability. The product moves from being a technology to become a consumer item, and even a community.
In this lecture we explore the change from technology focus to consumer focus, and look at why people stand in line overnight to buy the latest gadgets.
For the most time of human history, life was local and linear. Local in the way that anything that happened was close by, a least within a walking distance. Linear in the way that your life was the same as your father and your childs. Nothing changed.
Just like the evolution of man, technology improvements follow an evolutionary progress. New ideas or products are to begin with immature and fragile with slow improvements. Then the progress accelerates until the products become mature and taken for granted. Then the cycle repeats and a new layer of technology is added to the previous. This process is exponential. One such observation of exponential is Moore’s Law.
We will explore what exponential means. We look at Moore´s law and The Law of the Accelerating returns.
At any given moment it is easy to look back to see how technology has changed over time. At the same time it is difficult to see what transformations are taking place in current moment, and even more difficult to see where things are going.
We will explore what technology is. For us it may be the latest tech stuff we see, something new. But what about everyday objects that we take for granted. Are those not technologies also?
How does technology evolve and where did it come from? We look at some ideas on evolution of technology and how it is similar to biology in some ways. We will also look at the origin of the word technology. Finally we will define the term we will use in the course. Terms defined are technology, product performance, and innovation to name few.
At any given time, with all the knowledge we have, new knowledge can emerge. We call this the adjacent possible. It explains why new inventions are invented when they are, and why they are not possible before. Adjacent possible is a very useful term to understand the progress of technology. Technology evolves by using prevailing technologies to improve upon. Thus technology is combinatorial and built in layers. With each layer new ideas can be built upon the previous layers. Thus Gall´s Law says that any complex system that works is built of simpler systems that work.
We will look at the adjacent possible and some ideas that came when all the enabling technologies are available. We also look at an idea that was not possible to build at the time, Charles Babbage engines.
When innovators try to envision how people will use their product they often have different ideas on what people want. Products that are of superior technology may fail and inferior succeed, only because the inferior product has some features that people are looking for.
In this lecture we look at how new products or technologies get adopted my markets. We look at the Law of Diffusion of Innovation, which explains how this adoption happens. We also look at what it takes for a new innovation to move from being a visionary idea to a practical product, or crossing the chasm. Finally we explore the hype cycle.
In this lecture we look at how innovation happens. We look at the slow hunch, the liquid network, the hummingbird effect, and serendipity.
Technology evolves in big waves that we call revolutions. The first revolution was the Industrial revolution that started in Britain in 1771. Since than we have see more revolutions come and how we are in the fifth. These revolutions follow a similar path. First there is an installation period where the new technologies are installed and deployed, creating wealth to those who were are the right place at the right time. This is followed by a frenzy, where financial markets wants to be apart. The there is crash and turning point, followed by synergy, a golden age.
In 1908, a new technological revolution started. It was the Age of Oil and Automobile. The technology trigger was Henry Ford´s new assembly line technique that allowed the manufacturing of standardized, low cost automobile. This created the car industry and other manufacturing companies. This also created demand for gas thus creating the oil industry. During the Roaring Twenties the stock prices rose to new levels, until a crash and the Great Depression. Only after World War II, came a turnaround point followed by a golden age in the post-war boom.
In this lecture we look at a framework for understanding technological revolutions. There revolutions completely change societies and replace the old with new technologies. We will explore how these revolutions take place. We should now be in the golden age phase.
We also look at generations.
Technology is one of the factors of change. When new disruptive technology is introduced, it can change industries. We have many examples of that and will start this journey it one of the most important innovation that has come in our lifetimes, the smartphone. We will explore the impact of the smartphone and the fate of existing companies at the time when iPhone, the first smartphone as we know them, was introduced to the world.
We will also look at other examples from history. Then we look at the broader picture, past industrial revolutions and the one that we are experiencing now, the fourth industrial revolution. Specifically we look briefly at the technologies that fuel this revolution, for example artificial intelligence, robotics, drones, internet of things and more.
Did you know that the term "Computer" once meant a profession? And what did people or computers actually do? They computed mathematical problems. Some problems were tedious and error prone. And it is not surprising that people started to develop machines to aid in the effort. The first mechanical computers were actually created to get rid of errors in human computation. Then came tabulating machines and cash registers. It was not until telephone companies were well established that computing machines became practical.
First computers were huge mainframes, but soon minicomputers like DEC’s PDP started to appear. The transistor was introduced in 1947, but its usefulness was not truly realized until in 1958 when the integrated circuit was invented. This led to the invention of the microprocessor. Intel, in 1971, marketed the 4004 – and the personal computer revolution started. One of the first Personal Computers was MITS’ Altair. This was a simple device and soon others saw the opportunities.
In this lecture we start our coverage of computing and look at some of the early machines and the impact they had.
The Internet grew out of US efforts to build the ARPANET, a network of peer computers built during the cold war. The two major players were military and academia. The network was simple and required no efforts for security or social responsibility. The early Internet community was mainly highly educated and respectable scientist. In the early 1990s the World Wide Web, a hypertext system is introduced, and soon browsers start to appear, leading the commercialization of Net. New businesses emerge and a technology boom known as the dot-com era.
The network, now over 40, is being stretched. Problems such as spam, viruses, antisocial behaviour, and demands for more content are prompting reinvention of the Net and threatening its neutrality. Add to this government efforts to regulate and limit the network.
In this lecture we look at the Internet and the impact of the network. We will also look at the future of the Internet.
The Internet grew out of US efforts to build the ARPANET, a network of peer computers built during the cold war. The two major players were military and academia. The network was simple and required no efforts for security or social responsibility. The early Internet community was mainly highly educated and respectable scientist. In the early 1990s the World Wide Web, a hypertext system is introduced, and soon browsers start to appear, leading the commercialisation of Net. New businesses emerge and a technology boom known as the dot-com era.
The network, now over 40, is being stretched. Problems such as spam, viruses, antisocial behaviour, and demands for more content are prompting reinvention of the Net and threatening its neutrality. Add to this government efforts to regulate and limit the network.
In this lecture we look at the Internet and the impact of the network. We will also look at the future of the Internet.
History has many examples of great innovators who had difficult time convincing their contemporaries of new technology. Even incumbent and powerful companies regarded new technologies as inferior and dismissed it as "toys". Then when disruptive technologies take off they often are overhyped and can cause bubbles like the Internet bubble of the late 1990s.
In this lecture we look at some examples of disruptive technologies and the impact they had. We look at the The Disruptive Innovation Theory by Harvard Professor Clayton Christensen.
Software is changing the way traditional business operate. People now have smartphones in their pockets - a supercomputer that is 25,000 times more powerful and the minicomputers of the 1960s. This is changing people´s behaviour and how people shop and use services. The organizational structure created in the 20th century cannot survive when new digital solution are being offered. Software is changing the way traditional business operate. People now have smartphones in their pockets - a supercomputer that is 25,000 times more powerful and the minicomputers of the 1960s. This is changing people´s behaviour and how people shop and use services. The organisational structure created in the 20th century cannot survive when new digital solution are being offered. The hierarchical structure of these established companies assumes high coordination cost due to human activity. But when the coordination cost drops
The organisational structure that companies in the 20th century established was based on the fact that employees needed to do all the work. The coordination cost was high due to the effort and cost of employees, housing etc. Now we have software that can do this for use and the coordination cost drops to close-to-zero. Another thing is that things become free. Consider Flickr. Anybody can sign up and use the service for free. Only a fraction of the users get pro account and pay. How can Flickr make money on that? It turns out that services like this can.
Many businesses make money by giving things away. How can that possibly work? The music business has suffered severely with digital distribution of content. Should musicians put all there songs on YouTube? What is the future business model for music?
Software is changing the way traditional business operate. People now have smartphones in their pockets - a supercomputer that is 25,000 times more powerful and the minicomputers of the 1960s. This is changing people´s behaviour and how people shop and use services. The organizational structure created in the 20th century cannot survive when new digital solution are being offered. Software is changing the way traditional business operate. People now have smartphones in their pockets - a supercomputer that is 25,000 times more powerful and the minicomputers of the 1960s. This is changing people´s behaviour and how people shop and use services. The organizational structure created in the 20th century cannot survive when new digital solution are being offered. The hierarchical structure of these established companies assumes high coordination cost due to human activity. But when the coordination cost drops
The organizational structure that companies in the 20th century established was based on the fact that employees needed to do all the work. The coordination cost was high due to the effort and cost of employees, housing etc. Now we have software that can do this for use and the coordination cost drops to close-to-zero. Another thing is that things become free. Consider Flickr. Anybody can sign up and use the service for free. Only a fraction of the users get pro account and pay. How can Flickr make money on that? It turns out that services like this can.
Many businesses make money by giving things away. How can that possibly work? The music business has suffered severely with digital distribution of content. Should musicians put all there songs on YouTube? What is the future business model for music?
For the most time of human history, life was local and linear. Local in the way that anything that happened was close by, a least within a walking distance. Linear in the way that your life was the same as your parents and your children. Nothing changed.
Just like the evolution of man, technology improvements follow an evolutionary progress. New ideas or products are to begin with immature and fragile with slow improvements. Then the progress accelerates until the products become mature and taken for granted. Then the cycle repeats and a new layer of technology is added to the previous. This process is exponential. One such observation of exponential is Moore’s Law.
We will explore what exponential means. We look at Moore´s law and The Law of the Accelerating returns.
After the computing industry got started, a new problem quickly emerged. How do you operate this machines and how to you program them. The development of operating systems was relatively slow compared to the advances in hardware. First system were primitive but slowly got better as demand for computing power increased. The ideas of the Graphical User Interfaces or GUI (Gooey) go back to Doug Engelbarts Demo of the Century. However, this did not have much impact on the computer industry. One company though, Xerox, a photocopy company explored these ideas with Palo Alto Park. Steve Jobs of Apple and Bill Gates of Microsoft took notice and Apple introduced first Apple Lisa and the Macintosh.
In this lecture on we look so lessons for the development of software, and see how our business theories apply.
In this lecture on we look so lessons for the development of algorithms or software, and see how our business theories apply.
In the second part we look at where software is going, namely Artificial Intelligence. Resent developments in AI are causing an AI boom and new AI application are coming all the time. We look at machine learning and deep learning to get an understanding of the current trends.
When innovators try to envision how people will use their product they often have different ideas on what people want. Products that are of superior technology may fail and inferior succeed, only because the inferior product has some features that people are looking for.
In this lecture we look at how new products or technologies get adopted my markets. We look at the Law of Diffusion of Innovation, which explains how this adoption happens. We also look at what it takes for a new innovation to move from being a visionary idea to a practical product, or crossing the chasm. Finally we explore the hype cycle.
In this lecture we look at how innovation happens. We look at the slow hunch, the liquid network, the hummingbird effect, and serendipity.
This document provides an introduction to a course on new technology in 2017. It outlines the course topics which will cover various aspects of technological evolution and innovation. The instructor is Ólafur Andri Ragnarsson and resources include required readings, optional readings, websites for keeping up with technology news, and the research paper assignment which will comprise 40% of the course grade. Students will form research study groups to provide peer reviews of draft papers. The course will utilize various online resources and all lectures will be recorded.
Roberto Siagri presented on Eurotech, an Italian company that provides embedded computing and Internet of Things solutions. In 3 sentences:
Eurotech was founded in 1992 and provides embedded computers, IoT platforms, edge computing solutions, and industrial IoT applications for sectors like industrial automation, healthcare, transportation, and energy. The company has grown to 310 employees with 5 global hubs and envisions computers that are increasingly miniaturized and interconnected, with everything revolving around data. Eurotech aims to enable customers to focus on their core skills by meeting the needs of an interconnected planet through embedded and edge computing and industrial IoT solutions.
IoT the driver of Business Innovation: better products, new services and...Eurotech
The IoT is the manifestation that the raw material of the information age is data. Data is the new source of innovation and the lever to achieve business sustainability. By extracting data from assets and products, companies can become more efficient through a strategic rethinking of their value chains and business processes. In so doing, companies will add the required readiness to shift from products to services, and eventually enter in the outcome economy. To truly embrace the digital transformation, organizations need to collect actionable data from their assets, processes, and products and then connect the OT world where data are generated to IT world where data are consumed. To make this happen, a IoT integration platform, that gives to the App an easy and versatile access to the data, is required . As a matter of fact the IoT essence resides in an impressive simplification of the OT-IT integration through a loosely coupled containerized layered (LC2L) architecture. The benefits are huge: the transformation of any business into a smart business, increasing competitiveness also in mature markets; the creation of new innovative products and services; and the enablement of service prosumerization. Abundance of data is the real essence of IoT, where the App is the tip of the data iceberg.
IoT the driver of Business Innovation: better products, new services and the ...Roberto Siagri
The IoT is the manifestation that the raw material of the information age is data. Data is the new source of innovation and the lever to achieve business sustainability. By extracting data from assets and products, companies can become more efficient...
This document discusses IT innovation and its impact. Some key results of IT innovation include the internet, email, cell phones, operating systems, and social networking sites. IT innovation has changed the world by connecting people and enabling new technologies like cloud computing, GPS, Wi-Fi, and iPods. The document promotes attending an upcoming IT innovation conference to learn about the latest IT trends and opportunities.
Big Data, IoT and The Third Industrial Revolutionglobexspain
This document provides an overview of a session on emerging business tools for a new social and economic order in the context of the third industrial revolution. It discusses how exponential technologies like the Internet of Things, big data analytics, and artificial intelligence will transform business, society, and the self by redefining the work framework. It notes that human labor is ending and these tools offer huge emerging opportunities and threats. The document outlines several talks that will explore designing a new economic and social order, the importance of data science skills, and new business opportunities in areas like personalized medicine, security, and life logging through connected sensors.
Future of engineering disrupting the future of technology summaryZinnov
The document discusses trends in technology and engineering that are driving unprecedented competition and the need for collaboration. It notes that mobile broadband usage and smartphone sales have grown exponentially. It also discusses how companies like WhatsApp and Uber, despite small initial teams, have disrupted entire industries through leveraging data and technology. The document advocates that engineering teams must build a data culture, bet on bold ideas, and connect globally to defend against hyper-competitors and help emerging technologies from India impact the world.
Alex is a designer at Tinker, a London-based studio that designs for the Internet of Things. Tinker helps people understand how online data can interact with the physical world through creative applications of new technologies. Some key concepts in IoT design discussed include sensors that collect data about the physical world, APIs that allow devices and software to communicate, and actuators that can trigger physical actions. Examples provided include smart home devices, interactive art installations, and ways of visualizing online communities in physical form.
Design at Heart of Future of Value CreationRobin Teigland
The document discusses trends in technology, business, and society that are shaping the future. It notes that digital disruption has only begun, with artificial intelligence, robotics, biotechnology, and other technologies converging. Business models are also shifting, with platforms like Uber and Airbnb rising rapidly. Communities are exploring local and circular economies using new tools like 3D printing. Universities and governments must work with industry to support entrepreneurship and tackle issues like sustainability and the tragedy of the commons. The future involves decentralized, autonomous organizations and exploring new opportunities at the intersection of technology and human needs.
An interactive demo tracks the use of Twitter data in real-time to analyze global music listening behavior. The demo application monitors Twitter to identify references to songs and artists in tweets and displays real-time insights into popular music around the world. The analysis of social media data at scale provides a novel way to understand music consumption patterns and preferences. Tracking music listening trends on Twitter in real-time could help the music industry better engage audiences.
Industrial Internet of Things: Recipe for Innovating the Businesses through...Eurotech
Industrial Internet of Things (IIoT) allows fusion of information technology and operational technology through connecting devices to generate data. This enables improving operational efficiency, new business models like pay-per-use, and collaborating between humans and machines. Successfully adopting IIoT requires planning for change as industries will experience disruption not seen in decades. IIoT platforms provide modular building blocks for fast development while securely connecting edge devices to cloud using standards like MQTT. This transforms device data into actionable insights across business applications.
This document provides an agenda and information about the Next Big Thing Summit, which is a two-day conference being held on March 13th and 14th, 2014 in Melbourne, Australia. The summit will showcase emerging technologies with potential to change how people work and live, and will feature talks from leaders in technology, business, and science. Some of the topics to be discussed include hyperconnectivity, digital productivity, virtual reality, connected homes, autonomous vehicles, 3D printing, and more. The summit is part of a larger Connect Expo event focused on digital technologies and their impact.
IEEE GLOBECOM 2014 features a greatly expanded INDUSTRY PROGRAM organized by and for industry practitioners in the communications and networking industries and its broader supporting ecosystem. The expanded industry program is designed to provide opportunities for the practicing industry professional to both share and learn about the latest ideas, trends, and product innovations in the broader communications and networking industries, while connecting with their peers and other prominent leaders in the industry.
The INDUSTRY PROGRAM is organized into 5 parallel program tracks:
Access Technologies
Networking and Information
Emerging Applications
Enabling Technologies
Business and Government
Each of these tracks are covered by program components that feature prominent industry leaders including CEOs, CTOs, VPs, and Senior Managers and Engineers from leading communications and networking companies.
These INDUSTRY PROGRAM components include:
6 Keynotes from C-suite executives and VPs of AT&T, National Instruments, Cisco, Huawei, and Qualcomm
A Dialogue with Industry Leaders which features a lively Q&A session with high-level industry executives on their perspective of where the industry is going in the next 10 years
3 Executive Forums where industry executives present their views on the key trends affecting the industry, including 5G wireless access, the future evolution of networks, and the emerging internet-of-things
4 Industry Workshops that feature half- and full-day organized presentations, panels, and demonstrations on key topics including 5G and the internet-of-things
10 Industry Tutorials taught by industry experts on the various tools and technologies relevant to the practicing engineer in industry
30 Panel Sessions where industry leaders engage in panel discussions on prominent topics across the 5 program tracks
23 Interactive Posters organized into 3 separate sessions presented for engineers by engineers
29 Live Demonstrations of working hardware and/or software systems that show the latest innovations across the various program tracks
In addition to these program components, there are also general program aspects that round-out the overall industry conference experience:
Exhibits – Exhibit booths and demonstrations from our major patrons and exhibitors will be on display in the Exhibits Hall and the foyers beginning at the Welcome Reception and continuing thru, Tuesday, Wednesday & Thursday.
Welcome Reception – A Monday evening reception, 7pm to 10pm, will be held for all conference registrations. During this event, the Exhibits and Demonstrations will be on display.
Awards Luncheon – Included under the Full Conference Registration Category, optional under all other registration categories, including the Full 3-Day Industry Registration.
Conference Banquet - Included under the Full Conference Registration Category, optional under all other registration categories, including the Full 3-Day Indust
The document discusses the principles of the 4th Industrial Revolution and its key technologies such as 5G wireless networks, the Internet of Things, cloud computing, big data, artificial intelligence, and more. It outlines the main pillars of Industry 4.0 as including technologies like robotics, 3D printing, big data analytics, and changes to processes, people, and skills. Benefits are seen in increased efficiency, flexibility, and quality while reducing costs and time to market. Risks include potential cybersecurity threats from greater connectivity of devices and systems.
Tech Boom - Beginning or End War Room Slideshiddenlevers
This document discusses the possibility of a new tech boom or bust by analyzing technology sector activity and historical scenarios.
It first examines how technology causes disruption in many industries and how this is transforming the economy. It then reviews current venture capital trends and notable winners and losers in tech.
Two historical scenarios from the 1990s are presented: 1) The tech boom from 1995-1999 where stock prices of tech companies greatly increased. 2) The dot-com bust from 2000-2002 where many tech companies failed after overvaluation.
Finally, it outlines three potential future scenarios: 1) "Tech consumes the world" where serious innovation leads to widespread changes. 2) "Dot com déjà vu" where speculative frenz
Internet Of Things What You Need To Know - TechFuseRichard Harbridge
The Internet of Things (IoT) is here today in the devices, sensors, cloud services, and data your business uses. Microsoft delivers a flexible cloud-based approach that enables enterprises to capitalize on IoT by gathering, storing, and processing data centrally. When centrally connecting distributed LoB assets, the edge of an enterprise’s infrastructure can be redefined, and the breadth of the Microsoft data platform can be harnessed. Join Richard Harbridge as you learn about Microsoft’s position on IoT, and the technology and services being delivered from Microsoft to help you create the Internet of Your Things.
A presentation by Irving Wladawsky-Berger, former chief technology officer at IBM on the future of innovation in the service sector. Given at Imperial College Business School on 13 October 2009.
This document provides an agenda for the "Symposium on Innovation & Technology" event being held on October 13, 2016 at the Hong Kong Convention & Exhibition Centre. The morning session will focus on emerging technologies and how they can create smarter lives, with talks on topics like sustainable energy, interconnected devices, artificial intelligence, and innovative materials. There will also be a case study presentation and panel discussion. The afternoon session will center around internet of things trends and opportunities for connected living, with presentations on the future of IoT, exploiting the IoT growth opportunity, and unlocking smart home opportunities. Another case study and panel discussion will also be featured. The event is jointly organized by the Hong Kong Trade Development Council and Hong Kong Electronics
IoT Analytics from Data to Decision Making - Trends & ChallengesDr. Mazlan Abbas
This document discusses trends and challenges in IoT analytics. It notes that IoT analytics is becoming more accessible through low-code and no-code tools, allowing companies without data science expertise to gain insights from data. The document outlines several challenges for IoT analytics tools, including data oversupply, selecting the right metrics, data protection, and enabling cooperation. It advocates starting IoT projects through pilot programs focused on a few technologies and business skills. Overall, the document promotes IoT and analytics as key enablers of the fourth industrial revolution.
Similar to New Technology Summer 2020 Course Introduction (20)
Fyrirlestur fyrir Félag tölvunarfræðinga og Verkfræðingafélagið þann 18.05.2022
Nýsköpun er forsenda tækniframfara sem eru forsendur framþróunar. Nýsköpun byrjar yfirleitt smátt og þarf margar ítranir til að virka. Frumkvöðlar sem eru að búa til nýjungar þurfa ekki einungis að glíma við tæknina og takmarkanir hennar, heldur einnig skoðanir og álit samtímamanna sem sjá ekki alltaf tilgang með nýrri tækni. Í þessum fyrirlestri skoðar Ólafur Andri nýsköpun og þær framfarir sem hafa orðið. Einnig skoðar hann hvert tækniframfarir nútímans muni leiða okkur á komandi árum.
Ólafur Andri Ragnarsson er aðjúnkt við Háskólann í Reykjavík og kennir þar námskeið um tækniþróun og hvernig tæknibreytingar hafa áhrif á fyrirtæki. Hann er tölvunarfræðingur (Msc) að mennt frá Oregon University í Bandaríkjanum. Ólafur Andri er frumkvöðull og stofnaði, ásamt fleirum, Margmiðlun og síðar Betware. Þá tók Ólafur Andri þátt í að stofna leikjafyrirtækið Raw Fury AB í Stokkhólmi.
Fyrirlestur haldinn fyrir tæknifaghóp Stjórnvísi þann 13. október 2020.
Undanfarna áratugi höfum við séð gríðalegar framfarir í tækni og nýsköpun á heimsvísu. Þessar framfarir hafa skapað mannkyninu öllu aukna hagsæld. Þrátt fyrir veirufaraldur á heimsvísu eru framfarir ekkert að minnka heldur munu bara aukast næstu árum. Gervgreind, róbotar, sýndarveruleiki, hlutanetið og margt fleira er að búa til nýjar lausnir og ný tækifæri. Framtíðin er í senn sveipuð dulúð og getur verið spennandi og ógnvekjandi í senn. Eina sem við vitum fyrir vissu er að framtíðin verður alltaf betri. Í þessu fyrirlestri ætlar Ólafur Andri Ragnarsson kennari við HR að fjalla um nýjustu tækni og framtíðina.
This document summarizes a lecture on robotics and drones. It discusses the history of robots dating back to ancient times. It also covers modern industrial robots, robotic developments in the 21st century including robots that can see, hear and sense. The document outlines Isaac Asimov's three laws of robotics. It discusses self-driving cars and their levels of automation. Finally, it covers unmanned aerial vehicles including military drones and delivery drones, and concludes that the robot revolution has only just begun.
The normal interaction with computers is with keyboard and a mouse. For display a rectangular somewhat small screen is used with 2D windowing systems. The mouse was invented more the 40 years ago and has been for 20 years dominant input. Now we are seeing new types of input devices. Multi-touch adds new dimensions and new applications. Natural user interfaces or gesture interfaces where people point to drag objects. Computers are also beginning to recognize facial expressions of people, so it knows if you are smiling. Voice and natural language understanding is getting to a usable stage. All this calls all types of new applications.
Displays are getting bigger. What if any surface was a screen? If you could spray the wall with screen? Or have you phone project images to the wall.
This lectures explores some of these new types of interactions with computers and software. It makes the old mouse look old.
Local is the Lo in SoLoMo, the buzz word. Local is not only about location, it's also about your digital track record. Over 70% of Netflix users watch the films recommend. Mining data to understand people's behaviour is getting to be a huge and valuable business. Advertisers see opportunities in getting direct to their target groups. Predictive intelligence is also about where you will be at some time in the future, and where somebody you know will be.
It turns out that Facebook and Google know you better than you think you know yourself. The world is about to get really scary.
Over two billion people signed up for Facebook. This site the most used site for people when using the Internet. People are not watching TV so much anymore - they using Facebook, Youtube and Netflix and number of popular web sites.
Some people denote their time working for others online. What drives people to write an article on Wikipedia? They don´t get paid. Companies are enlisting people to help with innovations and sites such as Galaxy Zoo ask people to help identifying images. And why do people have to film themselves singing when they cannot sing and post the video on Youtube?
In this lecture we talk about how people are using the web to interact in new ways, and doing stuff.
With the computer revolution vast amount of digital data has become available. With the Internet and smart connected product, the data is growing exponentially. It is estimated that every year, more data is generated than all history prior. And this has repeated over several years.
With all this data, it becomes a platform for something new of its own. In this lecture, we look at what big data is and look at several examples of how to use data. There are many well-know algorithms to analyse data, like clustering and machine learning.
We are currently living in times of great transformation. We have over the last couple of decade seen the Internet become the most powerful disrupting force in the world, connecting everyone and transforming businesses. Now everyday objects - things we use are getting smart with sensors and software. And they are connecting. What does this mean?
We will see the world become alive. Cars will talk to road sensors that talk to systems that guide traffic. Plants will talk to weather systems that talk to scientists that research climate change. Farming fields will talk to the farming system that talks to robots that do fertilising and harvesting. Home appliances like refrigerators, ovens, coffee machines and microwaves ovens will talk to the home food and cooking system that will inform the store that you are running out butter, cheese, laundry detergent and coffee beans, which will inform the robot driver to get this to your house after consulting your calendar upon when someone is at home.
In this lecture we explore the Internet of Things, IoT.
- Mobile phones are now the most common device in the world, with over 8.5 billion connections globally as of 2017.
- The development of mobile phones was enabled by earlier innovations in electromagnetism and radio in the late 19th century, but mobile phones did not become practical until the 1980s with the invention of the microchip.
- Mobile technology has advanced through generations from analog 1G networks in the 1980s, to digital 2G networks in the 1990s incorporating texting, and 3G packet switched networks in the 2000s enabling more data and applications.
Software is changing the way traditional business operate. People now have smartphones in their pockets - a supercomputer that is 25,000 times more powerful and the minicomputers of the 1960s. This is changing people's behaviour and how people shop and use services. The organisational structure created in the 20th century cannot survive when new digital solution are being offered. Software is changing the way traditional business operate. People now have smartphones in their pockets - a supercomputer that is 25,000 times more powerful and the minicomputers of the 1960s. This is changing people's behaviour and how people shop and use services. The organisational structure created in the 20th century cannot survive when new digital solution are being offered. The hierarchical structure of these established companies assumes high coordination cost due to human activity. But when the coordination cost drops
The organisational structure that companies in the 20th century established was based on the fact that employees needed to do all the work. The coordination cost was high due to the effort and cost of employees, housing etc. Now we have software that can do this for use and the coordination cost drops to close-to-zero. Another thing is that things become free. Consider Flickr. Anybody can sign up and use the service for free. Only a fraction of the users get pro account and pay. How can Flickr make money on that? It turns out that services like this can.
Many businesses make money by giving things away. How can that possibly work? The music business has suffered severely with digital distribution of content. Should musicians put all their songs on YouTube? What is the future business model for music?
Erindi haldið á 50. ára afmælishátíð Ský þann 6. apríl 2018.
Við höfum farið frá minitölvum þar sem áherlsan var á vélbúnað og gagnavinnslu, til einkatölvunnar þar sem hugbúnaðurinn fór að skipta meiri máli. Við höfum tengt allar þessar vélar saman með Internetinu og nú erum við með margföld afköst minivélanna í vasanum, í formi snjallsímans, sem við notum aðallega í samskipti og selfís.
Hér er fjallað um það sem kemur næst.
Manlike machines have fascinated humans since ancient times. The modern robots start to take shape with the industrial revolution. In the 20th century robots were mostly industrial machines you would see in factories, like car factories.
Today, robots can have sensors, vision, they can hear and understand. They can connect to the cloud for more information. However, we are still in the early stages of robotics and robots will need to go a long way to become useful as a ubiquitous general purpose devices.
The first computer games go back to the 50s when a nought and crosses game was created using an EDSAC computer. An effort at MIT ten years later led to a the multiplayer Spacewar game developed in a PDP-1. Even though these games were primitive, a game industry was born with the first games available in special locations – arcades. Today’s games are produced with modest Hollywood budgets and some are selling more than box-office hits.
In this lecture we look at computer games and the gaming market. Also we cover the impact of gaming and the trends.
Local is the Lo in SoLoMo, the buzz word. Local is not only about location, it´s also about your digital track record. Over 70% of Netflix users watch the films recommend. Mining data to understand people´s behaviour is getting to be a huge and valuable business. Advertisers see opportunities in getting direct to their target groups. Predictive intelligence is also about where you will be at some time in the future, and where somebody you know will be.
It turns out that Facebook and Google know you better than you think you know yourself. The world is about to get really scary.
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Full-RAG: A modern architecture for hyper-personalizationZilliz
Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...Neo4j
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
Building RAG with self-deployed Milvus vector database and Snowpark Container...Zilliz
This talk will give hands-on advice on building RAG applications with an open-source Milvus database deployed as a docker container. We will also introduce the integration of Milvus with Snowpark Container Services.
2. Ólafur Andri Ragnarsson
Consultant, Author, Speaker
Lecturer at Reykjavik University
Board of Directors: Solid Clouds, Raw Fury,
Aha Retail Partners
M.Sc. Computer Science from University of Oregon
Founder: Margmiðlun hf (1993) and Betware (1998)
Teacher
4. If you have questions:
Piazza — in English
General questions where the answer might be relevant to anyone
Private questions if personal or irrelevant to others
Email or Canvas Inbox
Teacher
6. Adjacent Possible
Disruptive Technology
Software and Machine Learning
Becoming Invisible
Evolution of Technology Exponential World
The Rise of the Machine
How Innovation Happens
Diffusion of Innovation
Big Data and Visualisation
Innovator´s Dilemma
Software and Artificial Intelligence
Augmented and Virtual Reality
The Broadcast Century
A Worldwide Network
Mobile
Social
Games
The Internet of Things
Digital TransformationGamifcation
Future Trends
Robotics and Drones
Contents
Blockchain
7. Module 1 - Technology Evolution
Module 2 - Innovation
Module 3 - Business Transformation
Module 4 - Infrastructure
Module 5 - Algorithms and Platforms
Module 6 - Play and Work
Teacher
8. State of technology
Nature of disruptionsWhy study technology
L01 Introduction
MODULE 1
TECHNOLOGY
EVOLUTION
Why do good companies fail?
9. What does technology mean?
How do we define technology?The Study of People
L02 Evolution of Technology
MODULE 1
TECHNOLOGY
EVOLUTION
10. Waves of development
What exponential means?
Local and linear vs.
global and exponential
Moore’s Law
L03 Exponential World
MODULE 1
TECHNOLOGY
EVOLUTION
11. Why are things invented when they are?
Layers of technology
L04 Adjacent Possible
MODULE 1
TECHNOLOGY
EVOLUTION
12. How does technology evolve?
The Slow Hunch
Liquid NetworkSerendipity
L05 Innovation
MODULE 2
INNOVATION
13. Why do people adopt new technology?
Why do good technologies fail and inferior succeed?
What are
customers really
buying?
Crossing the Chasm
The Hype Cycle
L06 Diffusion of Innovation
MODULE 2
INNOVATION
14. When products mature, technology is irrelevant
Importance of style and emotion
Why engineers are bad designers
L07 Becoming Invisible
MODULE 2
INNOVATION
15. Elements of revolutions
L08 Technological Revolutions
INSTALLATION
PERIOD
TURNING
POINT
DEPLOYMENT
Age of
Information
1971
Internet mania and
financial casino
2000 & 2008 The New Golden Age?
Importance of crashes
Installation and deployment periods
Are we in a new Golden Age?
MODULE 2
INNOVATION
16. Technologies that change everything
Why do businesses always fail to respond?
Reactions to disruptive technologies
L09 Disruptive Technology
MODULE 3
BUSINESS
TRANSFORMATION
17. Making all the right decisions and still failing
Why listening to your customers is fatal
L10 The Innovator's Dilemma
Why sell cheap version when you have high-end product?
MODULE 3
BUSINESS
TRANSFORMATION
18. The transformation of the
TV industry is beginning
TV of the Future
The Cognitive Surplus
End of the Movie Start
The Long Tail
L11 The Broadcast Century
The Power Law
MODULE 3
BUSINESS
TRANSFORMATION
19. L12 Digital Transformation
The Business of Music
Beyond selling digital copies
Freeconomics
Freemiums
Sharing
Economics of connecting
Millennials
MODULE 3
BUSINESS
TRANSFORMATION
20. From adding machines to
electronic brains to
general purpose computersDisruption of Automation
Birth of the IT industry
MITS Altair 8800
How IBM created an industry
L13 The Rise of the Machine
MODULE 4
INFRASTRUCTURE
21. The Accidental network
Brief History of the Internet
The Future of the Internet
The Wi-Fi revolution
Standards
RFID
Near-field communications
L14 A worldwide Network
MODULE 4
INFRASTRUCTURE
23. Everything connected
From Products to smart to ecosystems
L16 Internet of Things
Devices communicating
The Smart Home
Hacking the Refrigerator
The Intelligent Doornop
MODULE 4
INFRASTRUCTURE
24. Xerox Parc
Beginning of GUIs
L17 Algorithms and AI
Artificial Intelligence
Mobile
Machine Learning
Importance of software
Rise of algorithms
MODULE 4
ALGORITHMS
AND
PLATFORMS
25. Rise of data
L18 Big Data and Analytics
Analysing data
Digital Footsteps
Intelligent data
Visualisations
MODULE 4
ALGORITHMS
AND
PLATFORMS
27. Checking in
Mining the digital footprint
Exploiting context
Machine learning
The Local in SoLoMo
Predictive Intelligence
Big Data
L20 Personalised World
MODULE 4
ALGORITHMS
AND
PLATFORMS
Your personal data is being exploited
28. The rise of computer games
The crash of 1986
Multiplayer games
Serious games
Casual games
Future of games
Gamification
Why you’re surgeon should play video games
Status and rewards
Player types
Player emotions
L22 Games and Gamification
29. Beyond the Desktop
Touch, gesture and audio
New User Interfaces
Displays anywhere
L22 Augmented and Virtual Reality
The DEMO of the Century
30. Race against the machine
Personal programmable robots
Drones
Future of Work
L23 Robotics and Drones
31. What’s next?
Virtual reality is more real than reality
Your phone will tell you
what you need to know
L24 The Future
33. Textbook
New Technology textbook available free as PDF
Reading material are articles or videos from the Internet
Some are posted on http://olafurandri.com
Reading is either required or optional
All readings will be posted on the course web
The book covers the first 12 lectures
34. see http://www.olafurandri.com/?cat=3
Interesting books
Alasdair Nairn:
Engines That Move Markets
Clayton M. Christensen:
The Innovators Dilemma
Geoffrey A. Moore:
Crossing the Chasm
Malcolm Gladwell:
The Tipping Point
The Invisible Computer:
Donald A. Norman
35. see http://www.olafurandri.com/?cat=3
Steve Johnson:
Where do good ideas come from
Kevin Kelly:
What Technology Wants
Jane McGonigal:
Reality is Broken
Ray Kurzweil:
The Singularity is Near
Jonathan Zittrain:
The Future of the Internet and how to Stop it
Interesting books
37. http://www.olafurandri.com/?page_id=1490
Economist - http://www.economist.com
Technology Review - http://www.technologyreview.com
NY Times - http://www.nytimes.com
Businessweek - http://www.businessweek.com/
ZDNet technology News - http://news.zdnet.com/
CNet - http://www.cnet.com
Google News - http://news.google.com
Financial Times - https://www.ft.com/technology
Ars Technica - http://arstechnica.com
Wired - http://www.wired.com/
Guardian - http://www.guardian.co.uk/technology
Technology Trends - http://olafurandri.com
Interesting web sites
38.
39. Grading
Quizzes 50%
Each lecture has a quiz (24 quizzes) 25 points each, 600 points
Research Paper - 50% — TBD
Outline
Draft
Review
Research paper
You have to turn in Research Paper to pass the course
40. Research
Objectives
Term project
Study or research of a particular topic chosen by the student
Must be approved by the teacher
Area of study
Can be a device, a concept, a trend, a standard, philosophy or
a metaphor, or a particular product
Gather information and write a paper
Best papers will be published
Your research starts now!
41. Research
Milestones:
Research Topic Selection due 15.06.2020 — Assignment in Canvas
Research Outline due 29.06.2020 — Turnitin
Research Draft due 13.07.2020 — Turnitin
Research Review due 20.07.2020 — Turnitin
Research Report due : 30.07.2020 — Turnitin
Research Paper is an individual work and is 50% of the course grade
42. Web Site
Course Web Site in Canvas
Teacher’s web site: http://www.olafurandri.com
43. Online Resources
Canvas - primary source
Piazza for discussions
Turnitin for research
Slides are in Slideshare
Audio slides on Vimeo
Recordings are from spring
term
44.
45. NEXT
MODULE 1 - Technology Evolution
Start working on research