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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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? 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.
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.
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.
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.
Any new technology that gets wide acceptance in society needs to be adopted by people. We will explore that type of people are the first to adopt new things, and what types come later.
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.
In the late 19th century a revolution in science took off. It was easy to see the vast number of inventions and entrepreneurial spirit of the time. At the dawn of the 20th century, it seems that everything had been invented. Yet, in the 20th century we saw more innovations and more technologically advanced than in all history of mankind before that. Never in history have we seen such dramatic changes in the way people live and work.
In this lecture we explore what to make of technology. We define the term we will use in the course. Terms defined are technology, product performance, and innovation to name few.
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 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.
Any new technology that gets wide acceptance in society needs to be adopted by people. We will explore that type of people are the first to adopt new things, and what types come later.
Innovation is the change in technology. The question is this: how does innovation happen? Many people have believe that new ideas come from brilliant inventors that have lightbulb moments or an epiphany. Greek scholar Archimedes had a Eureka moment, Newton discovered the theory of gravity when the apple fell on his head, and so on. This idea has been popularized, but the truth is quite different. Most discoveries are based on long evaluation - slow hunches, and collaboration.
In this lecture we look at how innovation happens. We look at the slow hunch, the liquid network, and serendipity.
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.
Innovation is the change in technology. The question is this: how does innovation happen? Many people have believe that new ideas come from brilliant inventors that have lightbulb moments or an epiphany. Greek scholar Archimedes had a Eureka moment, Newton discovered the theory of gravity when the apple fell on his head, and so on. This idea has been popularized, but the truth is quite different. Most discoveries are based on long evaluation - slow hunches, and collaboration.
In this lecture we look at how innovation happens. We look at the slow hunch, the liquid network, and serendipity.
Carlota Perez en el 9th Triple Helix Conference Stanford 2011Manuel Molina
Acerca de Carlota Perez-- Investigadora, conferencista y consultora internacional, experta en el impacto socio-económico del cambio tecnológico y en las condiciones históricamente cambiantes para el crecimiento, el desarrollo y la competitividad.
Es Catedrática de Tecnología y Desarrollo, Universidad Tecnológica de Talín, Estonia; Investigadora asociada en CFAP/CERF, Cambridge Finance, Judge Business School e investigadora visitante en la Facultad de Economía, ambos en la Universidad de Cambridge, Inglaterra, y Profesora honorífica de SPRU (Centro de investigaciones sobre política científica y tecnológica), Escuela de Negocios, Gerencia y Economía, Universidad de Sussex, Inglaterra.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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? 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.
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.
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.
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.
Any new technology that gets wide acceptance in society needs to be adopted by people. We will explore that type of people are the first to adopt new things, and what types come later.
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.
In the late 19th century a revolution in science took off. It was easy to see the vast number of inventions and entrepreneurial spirit of the time. At the dawn of the 20th century, it seems that everything had been invented. Yet, in the 20th century we saw more innovations and more technologically advanced than in all history of mankind before that. Never in history have we seen such dramatic changes in the way people live and work.
In this lecture we explore what to make of technology. We define the term we will use in the course. Terms defined are technology, product performance, and innovation to name few.
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 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.
Any new technology that gets wide acceptance in society needs to be adopted by people. We will explore that type of people are the first to adopt new things, and what types come later.
Innovation is the change in technology. The question is this: how does innovation happen? Many people have believe that new ideas come from brilliant inventors that have lightbulb moments or an epiphany. Greek scholar Archimedes had a Eureka moment, Newton discovered the theory of gravity when the apple fell on his head, and so on. This idea has been popularized, but the truth is quite different. Most discoveries are based on long evaluation - slow hunches, and collaboration.
In this lecture we look at how innovation happens. We look at the slow hunch, the liquid network, and serendipity.
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.
Innovation is the change in technology. The question is this: how does innovation happen? Many people have believe that new ideas come from brilliant inventors that have lightbulb moments or an epiphany. Greek scholar Archimedes had a Eureka moment, Newton discovered the theory of gravity when the apple fell on his head, and so on. This idea has been popularized, but the truth is quite different. Most discoveries are based on long evaluation - slow hunches, and collaboration.
In this lecture we look at how innovation happens. We look at the slow hunch, the liquid network, and serendipity.
Carlota Perez en el 9th Triple Helix Conference Stanford 2011Manuel Molina
Acerca de Carlota Perez-- Investigadora, conferencista y consultora internacional, experta en el impacto socio-económico del cambio tecnológico y en las condiciones históricamente cambiantes para el crecimiento, el desarrollo y la competitividad.
Es Catedrática de Tecnología y Desarrollo, Universidad Tecnológica de Talín, Estonia; Investigadora asociada en CFAP/CERF, Cambridge Finance, Judge Business School e investigadora visitante en la Facultad de Economía, ambos en la Universidad de Cambridge, Inglaterra, y Profesora honorífica de SPRU (Centro de investigaciones sobre política científica y tecnológica), Escuela de Negocios, Gerencia y Economía, Universidad de Sussex, Inglaterra.
Robin Murray spoke on the topic of the crisis and the new social economy at the Euclid Network AGM on 18 September 2009, drawing from this essay, which argues that the early years of the 21st century are witnessing the emergence of a new kind of economy that has profound implications for the future of public services as well as for the daily life of citizens.
Presentación del presidente del Centro de Productividad de Corea, en el pánel: LA INNOVACIÓN Y EL CONOCIMIENTO COMO MOTORES DE LA PRODUCTIVIDAD de la Conferencia CAF Productividad e Innovación para el Desarrollo
Dando forma ao futuro com o auxílio da História. O estudo das revoluções tecnológicas revela regularidades significativas nos seus padrões de difusão. Uma delas é a mudança de padrões de consumo que ocorre na segunda onda de cada nova tecnologia, na sequência de um grave colapso financeiro. A revolução da informação encontra-se actualmente nesta encruzilhada e os desafios ambientais, juntamente com a globalização, estão a desenhar um futuro que ainda nos pode parecer improvável, mas que promete assemelhar-se ao impacto dos materiais sintéticos e à suburbanização no período pós-guerra.
Describe two benefits of the industrial revolution and two proble.pdfshalins6
Describe two benefits of the industrial revolution and two problems it caused. Make sure that
your answer is not focused only on the early years of the industrial
revolution. Why do you think industrial reform came so slowly between 1815 and 1914?
Solution
Benefits:
1)As the scale of production of goods increased under the capitalist model, people from all
sections of society were able to enjoy consumption of products that were previously considered
an luxury for the few.
the city of Manchester, the numerous cotton mills set up there produced sufficient goods to
supply to the local markets and also export the surplus to other countries.Along with this, the
industrial revolution brought the concept of the overall efficiency of the production process.
Terms such as efficiency and quality were given emphasis, the benefits of which are transferred
to the end consumer.
2)Transportation and technology - the expansion of business and factories expanded our
transportation network out of necessity and brought us canals, highways and turnpikes. It better
connected us together as a society. We also saw technological innovation like interchangeable
parts (Eli Whitney) and the textile mill (Samuel Slater) which revolutionized how we lived.
Problems:
1) Factories that produce goods on a massive scale are the most prominent symbols of the
industrial revolution. Such a radical transformation was allowed to happen because it suited the
interests of the aristocracy and nobility of the time. The ruling elite of England were also the
owners of most the country’s wealth and it suited their interest to perpetuate a method that
maintained status quo. This meant that the prevailing inequities in distribution of wealth
accentuated further as the industrial revolution marched on. Some intellectuals have cited this as
the major problem with the capitalist model and have hence condemned the revolution as
socially unjust.
2)The other criticism that is leveled against large-scale industries is their tendency to accelerate
the process of urbanization and ultimately contribute to pollution and squalor. For example, the
issues of overpopulation, petty crime, prostitution and pollution in the industrial city of
Manchester are well documented by Kishlansky and other scholars.
Why do you think industrial reform came so slowly between 1815 and 1914?
there is an interesting reason why the industrial reforms process was sluggish during the
nineteenth century. One of the main reasons for this slowing down is the sprouting up of a new
class of people called the bourgeoisie. In the feudal system that preceded the capitalist system,
there were only two classes – the landowning class and the peasantry. But with the onset of the
industrial revolution, a whole new social class was created, which made the capitalists feel
insecure and vulnerable. Hence one could see during the period of the nineteenth century, an
attempt by the capitalists to retain their power and influence over the rest.
This Presentation is an abstract of discussion I had during my Session with Participants of a Webinar at Regional Center of IGNOU, Patna on Future Skills & Career Opportunities in POST COVID-19
The industrial revolutions through history and the situation of brazilFernando Alcoforado
Throughout history, there have been four industrial revolutions. The first industrial revolution was boosted by the invention of steam engines and railroad construction, inaugurating the era of mechanized production. The second industrial revolution made mass production possible, thanks to the advent of electricity and production lines. The third industrial revolution was catalyzed by the development of semiconductors, mainframes and personal computers, as well as the internet. Today, we are living the fourth industrial revolution that involves intelligent machines simultaneously with waves of advances in many areas, ranging from genetic sequencing to nanotechnology.
This work presents the impact of technological innovations in international business. The objective will be to demonstrate that technological ecosystems are promoters of international business and its application in Peru will bring amazing benefits for the entire state: government, business, society.
Chapter I explains how technological innovations have been around since the dawn of time and have evolved along with humans providing opportunities for commercial and business development internationally. Then, as the second chapter discusses two countries have been developing successful technological ecosystems, international engine companies we know today as HP, Apple, and others. And like innovation model for emerging countries like Peru. To end the situation in Peru is evaluated with respect to the creation of structures for the development of technological innovations.
Finally, we conclude with a positive attitude towards the initiatives of the Peruvian government in including steps to encourage innovation measures, which added to the change of mentality of Peruvian companies and international support in education and investment, will be able to generate a substantial change in Peruvian exports.
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.
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.
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 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.
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.
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.
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.
The ideas for cellular phones were developed in the 1940s. However, it was not until the microprocessor becomes available that practical commercial solutions are possible.
Today there are more than 5 billion unique mobile phone subscriptions in the world and of them about 2.5 billion are smartphones. This device is so powerful that people check it over 40 times a day.
In this lecture we look mobile. We also look at the history of communication since the telegraph and how the mobile market developed in the 80s and 90s until the iPhone was released in 2007. That same year Western Union stopped sending telegraph messages.
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?
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 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.
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.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
6. WHEN IN A TECHNOLOGICAL REVOLUTION
THE HARDEST THING TO UNDERSTAND IS THAT
YOU ARE IN ONE
7. We tend to overestimate the immediate
impact of technology and underestimate
the long-term impact
Timing is everything
8. We tend to place emphasis on the
technology itself, when it is really the social
and cultural change that will be the most
dramatic
Perception is everything
10. Is it really up to politicians with their 12
point plans?
Economic Growth
11. Large revolutions that transform society
and change the way people live
What is the nature of them?
Are the similarities between them?
Do they always progress in the same way?
Technological Revolution
12. The 20th century was the age of
automobile, oil and mass manufacturing
Example of a Technological Revolution
16. The Great Horse Manure Crisis of 1894
“In 50 years every street in London would
be buried under nine feet of manure.”
— An article in Times of London, 1894
22. New Class Emerges
Inequality rises - few people get very rich
Right age, place, time, and sex
Andrew MellonAndrew Carnegie Henry Ford John D. Rockefeller
26. The 1929 Wall Street Stock Crash
The crash began on October 24. Institutions and
financiers started to buy stocks to keep them up.
The stock bounced back only to collapse on
Tuesday, 29th - Black Tuesday.
30. Fundamental changes are made to move
from the frenzy mode, shaped by financial
criteria to synergy mode, solidly based on
growing production capabilites
Turning Point
Carlota Perez, Technological Revolution and Financial Capital
31. From 1960 to 1980 there was
unprecedented consumer demand
because of the affluent middle class
(Baby Boomers) both in US and
Europe
Source: Retail Revival
SYNEGRY
36. Improvements in technology are waining
Younger generation feels left out
Mistrust, status quo is questioned
Stagnation
Carlota Perez, Technological Revolution and Financial Capital
38. INSTALLATION
PERIOD
TURNING
POINT
DEPLOYMENT
The Industrial
Revolution
1771 Canal mania 1793-97 The Great British Leap
Age of Steam
and Railways
1829 Railway mania 1848-50 The Victorian Boom
Age of Steel
and Electricity 1875
Infrastructure
bubbles
1890-95
The Belle Époque (Europe)
Progressive Era (USA)
Age of Oil and
Automobile
1908
The Roaring
Twenties
1929-33 & 43 Post-war Golden Age
Source: Carlota Perez
Technological Revolution
39. The Long View
The Industrial
Revolution
Arkwright’s mill
in Cromford
1771
Age of Steam
and Railways
Manchester-
Liverpool Rocket
line
1829
Age of Steel and
Electricity
Carnegie
Bessemer steel
plant, Pittsburg
1875
Age of Oil and
automobile
Ford’s model T
plant, Detroit
1908
Age of
Information
Intel’s microchip,
Santa Clara
1971
Technical Revolutions span over generations
Starts with a cluster of technological revolutions
in a particular place
Source: Carlota Perez
40. 3. Industrial Revolution2. Industrial Revolution1. Industrial Revolution
The Long View
The Industrial
Revolution
Arkwright’s mill
in Cromford
1771
Age of Steam
and Railways
Manchester-
Liverpool Rocket
line
1829
Age of Steel and
Electricity
Carnegie
Bessemer steel
plant, Pittsburg
1875
Age of Oil and
automobile
Ford’s model T
plant, Detroit
1908
Age of
Information
Intel’s microchip,
Santa Clara
1971
Technical Revolutions span over generations
Starts with a cluster of technological revolutions
in a particular place
Source: Carlota Perez
41. Installation period Deployment Period
Institutional
recomposition
Degreeoftechnologicalmaturity
andmarketsaturation
time
Crash 2000-2008
Big bang Intel 4004
1971
Next big bang
Techno-economic
split
IRRUPTION
Financial Bubble
Time
FRENZY
Golden Age
SYNERGY
MATURITY
Source: Carlota Perez
42. An event the signifies the start of an new
revolution
Something that changes the world
Technology Trigger
The Industrial
Revolution
Arkwright’s mill
in Cromford
1771
Age of Steam
and Railways
Manchester-
Liverpool Rocket
line
1829
Age of Steel and
Electricity
Carnegie
Bessemer steel
plant, Pittsburg
1875
Age of Oil and
automobile
Ford’s model T
plant, Detroit
1908
Age of
Information
Intel’s microchip,
Santa Clara
1971
Source: Carlota Perez
43. The Irruption Phase: A Time for Technology
Starts with technology trigger - an event or
item that signals beginning of a new era
Old paradigms are mature and stagnant
Unemployment rises, partly due to
economic stagnation and technological
replacement
New technology is pursued by
entrepreneurs
44. Despair and impotence affect those loosing
out
Old industries see declining profits
Policymakers try to keep and protect
outdated industries
Political uncertainty and division, sometimes
new movements
The Irruption Phase: A Time for Technology
45. The Frenzy Phase: A Time for Finance
Financial capital takes over - paper economy
decouples the real economoy
Small number of people get very rich,
inequality rises
Massive migration as people look for
opportunities
46. The Frenzy Phase: A Time for Finance
Time of speculations, corruption, and love of
wealth
The wealth that has grown and concentrated
in relatively few hands is greater that can be
absorbed by real investment
Excess money goes into infrastucture, over
investment
47.
48. The Turning Point
A conceptual device to represent the
fundamental change required to move from
frenzy mode to synergy
Process of contextual change
Move from individualism to collective well-
being
Period that is ripe for reshaping regualtions
and policies
49. The Synergy Phase: A Time for Production
Golden age
Infrastructure serves as engines of growth
Wealth gets distributed as investment is in
production
50. The Synergy Phase: A Time for Production
Full employment - production
Reign of the middle class
New paradigms are now accepted and
permeates every activity
51. The Maturity Phase: A Time for Questioning
Markets get saturated
Technology is stable and mature,
productivity gains are drained
The young start to see things as ‘all wrong’ -
movements form
Time of questioning
52. The Maturity Phase: A Time for Questioning
Company mergers
Migration of activities to less-saturated
markets abroad
57. 1981
Personal Computer allowed small
companies and individuals to own and
program computers
Generative platform
Opened up a huge revolution - created a
new industry
Personal Computers
60. 1995
Opened up a new way for people to
communicate and exchange data
Generative platform,
permissionless innovation
Created new industries,
transformed businesses
3.4 billion connected
Internet
63. 2007
The smartphone revolution takes off
with new possibilities
Powerful computer in your pocket
Access to 4 million apps
Constant access to the Internet
Smartphone
65. INSTALLATION
PERIOD
TURNING
POINT
DEPLOYMENT
Age of
Information
1971
Internet mania and
financial casino
2000 & 2008
The Industrial
Revolution
1771 Canal mania 1793-97 The Great British Leap
Age of Steam
and Railways
1829 Railway mania 1848-50 The Victorian Boom
Age of Steel
and Electricity 1875
Infrastructure
bubbles
1890-95
The Belle Époque (Europe)
Progressive Era (USA)
Age of Oil and
Automobile
1908
The Roaring
Twenties
1929-33 & 43 Post-war Golden Age
The New Golden Age?
Source: Carlota Perez
Technological Revolution
66. Installation period Deployment Period
Institutional
recomposition
Degreeoftechnologicalmaturity
andmarketsaturation
time
Crash 2000-2008
Big bang Intel 4004
1971
Next big bang
Techno-economic
split
IRRUPTION
Financial Bubble
Time
FRENZY
Golden Age
SYNERGY
MATURITY
Source: Carlota Perez
68. The Danger in Turning points
After synergy and maturity, unrest and new movement start
to emerge and they are not silence, but people start to listen.
1. Rising Immigrations
2. Increasing inequality
3. The Perception of corruption
4. A big financial crisis
70. Generations
Major technological shifts always happens with generations
Research into understanding generations and how they behave
Here are some of the stereotypes - and should be used as a
guideline, not absolute facts
Although we see trends human nature is usually the same in any
generation
71. Silent Generation
Born 1925 until 1942, sometimes called “Lucky Few” and are retired
today
Born too early for WWII but before the Baby Boomers
Entered the workplace in a booming economy, the Sputnik Era - high
wagers, low fixed rate mortgages
The healthiest and most educated generation of elders that ever
lived—and, of course, the wealthiest.
The last Silent cohort reached age 65 in 2007 - perfect timing to the
end!
72. Baby Boomers
Born 1946 until 1964, following the booming years after World War II.
Larger than previous generation.
Associated with privilege. Time of widespread government subsidies
in post-war housing and education, and increasing affluence. The
boomers moved to the suburbs and were perfect consumers for the
newly erected malls.
Received peak levels of income. Therefore, the boomers were
perfect consumers. In 2015, the boomers are between 51 and 69
years.
73. Generation X
Born ca. 1965 until 1980, MTV generation
Grew up when the wife stopped being a housewife and started
working so Xers became latchkey kids, and got used to daycare and
divorce as well as microwave dinners (there is a theory that states
that microwave owens and divorce is related).
This is the generation in the middle - boomers and millennials
Got access to computers at school and later work, played video
games in arcades. Just as the baby boomers, the Xers are passive
consumers. This is the last generation to use email as main form of
correspondence.
74. Born ca. 1980 until 2000 - the net generation or NetGen
Grew up with computers and the internet, and played video games
on consoles at home. With online technologies this generation is
much better connected with their parents.
More liberal than previous generations and more open minded, don’t
mind big governments if they get service.
Unlikely to conform to a routine schedule like working 9-5 or
showing up at any particular time, work according their own
schedule, output driven. Not as loyal, move from one job to the next.
Millennials
75. Many millennials prefer smartphone and a laptop to having a car
They like staying in crowded urban areas and are less likely to
choose to live in suburbs
Workplaces that want to attract millennials are open spaces,
elegantly designed with lots of different places to work like sofas,
picnic tables - far away from Dilbert like cubicle place
Millennials
76. Millennials
Millennials are self centered and want to be the center of attraction
Whereas ad for the Xers and boomers showed some hero or role
model that they should look up to and want to become (and thus buy
the product, see the movie etc)
These ads don’t work for millennials as they are used to be the star -
and don’t want to be anybody else
79. Have the reputation of choosing brands but lacking loyalty
They are quicker to switch brands, loyalty is shorter
Today we have much more choses, much more brands are available
and the sources of information that let you switch brands is far
bigger than ever
A consumer may choose a brand if a friend recommends it
Millennials
80. In the book Retail Revival, author points out that brands that are
winning with the millennials, of course they need to be good, but
also:
•Authentic like Lululemon, living what their brands espouses and
being real
•Purpose driven like TOMS Shoes, supporting human purpose
beyond pure profit;
•Quick to change like Apple, constantly driving obsolescence with
its latest products; and
•Socially savvy like Zappos.com, nurturing the visibility of everyone
in the company through social networks.
Millennials
83. 0
1,000
2,000
3,000
4,000
5,000
6,000
20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108
Series1
Millennials
76,321
Gen-X
59,302
Baby boomers
69,897
hippies/“counterculture”
Beatles Kingdom
World war II
World war I
Values and traditions
MTV
Latchkeys
smartphones
computers/net
computers/BASIC
Punk
Born at farms
TV
Religion
Gögn frá Hagstofunni
Radio/telegrams
Rás2
Youtube
Social Media
Selfies
Bond
Movie starsQueen
Live Aid
Spotify
Netflix
Silent and before
30,054
game consoles
Arcades
Generations
Industrial/progress
LP
CD
84. Key Insight
Research suggest that millennials are in some ways different than
the previous generations, in particular their use of technology.
This is the generation that established businesses need to attract as
customers, and that means using the same technology as they do -
smartphones, web sites, and social media.
Then try to figure out the Snapchat generation