L06 Diffusion of Innovation
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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.
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L07 Becoming Invisible
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.
New Technology Lecture L06 Diffusion of Innovation
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.
New Technology Lecture L05 Innovation
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.
L07 Diffusion of Innovation
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.
L05 Innovation
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.
L02 Evolution of Technology
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.
L09 Disruptive Technology
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.
L06 Diffusion of Innovation
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.
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L07 Becoming Invisible
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.
New Technology Lecture L06 Diffusion of Innovation
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.
New Technology Lecture L05 Innovation
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.
L07 Diffusion of Innovation
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.
L05 Innovation
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.
L02 Evolution of Technology
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.
L09 Disruptive Technology
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.
L06 Diffusion of Innovation
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.
L04 Adjacent Possible
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.
L06 Technological Revolutions
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.
L05 Technological Revolutions
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.
L07 Becoming Invisible
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.
L02 Evolution of Technology
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.
L09 Disruptive Technology
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.
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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.
L04 Adjacent Possible
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.
L07 Becoming Invisible
1. The iPad was released on April 3rd and sold over 300,000 units on its first day and over 1 million units by May 3rd, showing strong initial demand.
2. As technology matures and becomes ubiquitous, the focus shifts from the technology itself to design, usability, and creating value for consumers rather than impressing them with technological prowess.
3. As markets become saturated, companies must either create new blue oceans of uncontested market space through value innovation, or face cutthroat red ocean competition on existing features.
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This presentation we have given to the one competition of young managers from Baroda Management Association. It was nice learning and great experience during the journey of this competition,
we were tree member in the team and we work hard to prepare this presentation.
I have designed this presentation with examples and very effective design techniques.
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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.
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Presentation for Canadian startup company Eventmobi (http://www.eventmobi.com/). They are visiting Iceland this september 2014 and are located in Reykavík University.
This presentation introduced some startups including my own, Betware which is not so much of a startup any more. I also introduce three companies that are members of the Icelandic gaming industry (IGI), CCP makers of the successful EVEOnline, Plain Vanilla markers of the rocket growth game Quizup and finally Skema Education which is about teaching programming to kids. The clip shown is from founder Rakel Sölvadóttir's TEDx lecture.
Then I talk about my work at RU and in particular some concepts from my New Technology course on technology trends. Which explains the title of the presentation.
L08 Disruptive Technology
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.
What are standards
Mankind has achieved tremendous progress in recent centuries due to innovations, imagination, and hard work. Standards have played a key role in this progress by allowing comparisons between different approaches and results, which has fostered greater efficiency and reduced wastage. When the iPhone was introduced in 2007, it established a new standard that competitors strove to match or exceed in their own smartphone designs and features. Standards also allow measurement of impacts, such as using the devastating 2004 Indian Ocean tsunami as a benchmark for assessing and improving protections against future natural disasters. In education, standards set clear targets and minimize wasted effort, as seen in Pakistan's engineering program requirements. Overall, standards are essential for facilitating competition, progress, and the differentiation of extraordinary work.
Trends for 2011 and beyond...
Mobile trends for 2011 and beyond focused on themes of local, social, and money. Local mobile apps allowed users to find nearby businesses and services, while social apps facilitated sharing with connections. Mobile payments and commerce grew substantially, projected to increase from $16 billion in 2010 to $214 billion by 2015. New strategies like mobile optimized websites and geo-location services helped businesses adapt to changing consumer shopping behaviors driven by new mobile opportunities.
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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.
L06 Technological Revolutions
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.
L05 Technological Revolutions
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.
L07 Becoming Invisible
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.
L02 Evolution of Technology
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.
L09 Disruptive Technology
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.
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New Technology 2019 L01 Introduction
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.
L04 Adjacent Possible
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.
L07 Becoming Invisible
1. The iPad was released on April 3rd and sold over 300,000 units on its first day and over 1 million units by May 3rd, showing strong initial demand.
2. As technology matures and becomes ubiquitous, the focus shifts from the technology itself to design, usability, and creating value for consumers rather than impressing them with technological prowess.
3. As markets become saturated, companies must either create new blue oceans of uncontested market space through value innovation, or face cutthroat red ocean competition on existing features.
Innovate or Die
This presentation we have given to the one competition of young managers from Baroda Management Association. It was nice learning and great experience during the journey of this competition,
we were tree member in the team and we work hard to prepare this presentation.
I have designed this presentation with examples and very effective design techniques.
Pt asian disruption
This is Presented at Stanford university APARC special seminar. Topic is 'Asian way of Disruption : Samsung and PSY'. I argued even if there were not conclusion, I tried to connect the dots between Disruption and Asian way, Samsung and PSY. Under the topic, it is about how Samsung & Psy could get world's attention? how Samsung can be World No. 1 mobile device maker? What does Psy’s achievement mean? What is Asian way of Disruption?
New Technology 2019 L13 Rise of the Machine
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.
Living in the Future
Presentation for Canadian startup company Eventmobi (http://www.eventmobi.com/). They are visiting Iceland this september 2014 and are located in Reykavík University.
This presentation introduced some startups including my own, Betware which is not so much of a startup any more. I also introduce three companies that are members of the Icelandic gaming industry (IGI), CCP makers of the successful EVEOnline, Plain Vanilla markers of the rocket growth game Quizup and finally Skema Education which is about teaching programming to kids. The clip shown is from founder Rakel Sölvadóttir's TEDx lecture.
Then I talk about my work at RU and in particular some concepts from my New Technology course on technology trends. Which explains the title of the presentation.
L08 Disruptive Technology
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.
What are standards
Mankind has achieved tremendous progress in recent centuries due to innovations, imagination, and hard work. Standards have played a key role in this progress by allowing comparisons between different approaches and results, which has fostered greater efficiency and reduced wastage. When the iPhone was introduced in 2007, it established a new standard that competitors strove to match or exceed in their own smartphone designs and features. Standards also allow measurement of impacts, such as using the devastating 2004 Indian Ocean tsunami as a benchmark for assessing and improving protections against future natural disasters. In education, standards set clear targets and minimize wasted effort, as seen in Pakistan's engineering program requirements. Overall, standards are essential for facilitating competition, progress, and the differentiation of extraordinary work.
Trends for 2011 and beyond...
Mobile trends for 2011 and beyond focused on themes of local, social, and money. Local mobile apps allowed users to find nearby businesses and services, while social apps facilitated sharing with connections. Mobile payments and commerce grew substantially, projected to increase from $16 billion in 2010 to $214 billion by 2015. New strategies like mobile optimized websites and geo-location services helped businesses adapt to changing consumer shopping behaviors driven by new mobile opportunities.
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Group Members: Tushar khot, Indrajit kengar, Manoj khandizod
The document outlines the history of Apple Inc from its founding in 1976 by Steve Jobs and Steve Wozniak to sell the Apple I personal computer kit. It discusses Apple's founders and evolution of its logo over time. It then covers Apple's rise in the 1980s, fall in the 1990s, and resurgence under Jobs's return in 1997 with products like the iPod, iTunes, iPhone, and iPad. The document concludes with an overview of Apple today as a $185 billion company with over 80,000 employees and 408 retail stores worldwide.
Apple case study
Apple was established in 1976 and introduced the first home computer. It later became the first company to introduce wireless earphones called AirPods. Apple focuses on innovation through extensive research and development, and creating new choices not available to competitors. It aims to produce an electric vehicle with autonomous driving capabilities by 2020 and sells solar energy through its Apple Energy subsidiary. Apple has revolutionized the digital world for over 40 years through innovative products from the original Macintosh Computer to current devices like the iPhone and Apple Watch.
Media Company Case Study
The document provides an overview of Apple Inc., including its history, leadership, structure, products, competitors, customers, organization, and criticisms. Apple was founded in 1976 and designs electronics, software and computers. It is best known for products like the Mac, iPod, iPhone and iPad. The company is publicly traded but vertically integrated, designing and manufacturing its own products.
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The document discusses mechanisms for collaboration, staff development, and innovation within an organization. It mentions external collaboration, internal training, the diffusion of innovation through communication, accountability, developing a global perspective, and cultivating critical thinking, creativity, and action among employees.
Research on innovation diffusion
This document summarizes research on innovation diffusion. It discusses key topics like the economic and social impacts of innovation diffusion, different patterns of diffusion across sectors like microelectronics, biotechnology and ICT. It also examines normative issues for building an innovation ecosystem and discusses models of diffusion like linear, science push, market pull and endogenous capacity models. The document provides an overview of the determinants and dynamics of innovation diffusion.
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The document discusses the theory of diffusion of innovations, which explains how new ideas, products, and technologies spread through populations over time. It describes key elements of diffusion including communication channels, time, and the different categories of adopters. The theory also outlines the five stages of the adoption process - knowledge, persuasion, decision, implementation, and confirmation - through which individuals progress when learning about a new innovation.
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This document summarizes Everett Rogers' theory of the diffusion of innovations. It defines innovation as the development or adoption of new ideas or technologies. Rogers proposed that the diffusion of innovations follows an S-shaped adoption curve as ideas spread from innovators to early adopters and the early and late majorities over time through communication channels. The diffusion process focuses on how innovations are communicated through social systems and the stages of the innovation-decision process by which individuals adopt or reject new ideas.
Diffusion Of Innovation Chapters 1 and 2
The document discusses the key elements and concepts of diffusion of innovations according to Rogers' theory. It defines diffusion as the process by which an innovation is communicated over time through certain channels among members of a social system. The four main elements of diffusion are innovations, communication channels, time, and social systems. It also discusses Rogers' innovation-decision process and the attributes of innovations.
Diffusion of Innovation
Diffusion of innovation made simple. A condensed and applied summary of ‘The Diffusion of Innovations’ by Everett Rogers. A presentation I've given many times!
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The document provides an overview of diffusion of innovation theory, which explains how new ideas and technologies spread through cultures over time. Some key points:
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Rogers' diffusion of innovations model
Rogers' Diffusion of Innovations model outlines five factors that influence the adoption of new ideas: (1) attributes of the innovation such as its relative advantage and complexity, (2) the type of decision (individual or collective), (3) communication channels (mass media or interpersonal), (4) the social system including norms and opinion leaders, and (5) the degree of promotion by change agents. The rate of adoption depends on how an innovation is perceived along these factors within a social system over time.
Diffusion and adoption of innovation
This document discusses the diffusion of innovation, including definitions of key concepts like new products, diffusion, adoption, and the innovation adoption process. It outlines the 5 stages of the adoption process: awareness, interest, evaluation, trial, and adoption/rejection. It also describes the characteristics that influence the diffusion of innovations like relative advantage, compatibility, complexity, trialability, and observability. Finally, it provides a profile of consumer innovators and compares their characteristics to non-innovators.
Diffusion of innovation
This document provides an overview of the diffusion of innovation theory and consumer adoption processes. It discusses key concepts like the stages of innovation adoption (innovators, early adopters, etc.), characteristics that influence diffusion, and the awareness-interest-evaluation-trial-adoption consumer decision process. It also profiles different types of early adopters like opinion leaders, market mavens, change leaders, and technophiles who influence wider adoption. The document concludes by noting applications for marketing research, new product development, and product reviews.
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Nýsköpun - Leiðin til framfara
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.
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L01 Introduction
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.
L23 Robotics and Drones
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.
L22 Augmented and Virtual Reality
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.
L20 Personalised World
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.
L19 Network Platforms
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.
L18 Big Data and Analytics
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.
L17 Algorithms and AI
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.
L16 Internet of Things
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.
L14 From the Internet to Blockchain
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.
L14 The Mobile Revolution
- 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.
L12 digital transformation
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?
L10 The Innovator's Dilemma
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?
L09 Technological Revolutions
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.
L03 Exponential World
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.
Fjórða iðnbyltingin og áhrif á velferðarþjónustuna
Erindi haldið á ráðstefnunni TÍMAMÓT Í VELFERÐARÞJÓNUSTU, sem haldin var 7. og 8. nóvember 2018
Á seinni helmingi skákborðsins
Fyrirlestur haldinn í Háskólanum í Reykjavík á Vísindabragðaref þann 26. október 2018
Hvert stefnir
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.
L23 Robotics and Drones
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.
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Conversational agents, or chatbots, are increasingly used to access all sorts of services using natural language. While open-domain chatbots - like ChatGPT - can converse on any topic, task-oriented chatbots - the focus of this paper - are designed for specific tasks, like booking a flight, obtaining customer support, or setting an appointment. Like any other software, task-oriented chatbots need to be properly tested, usually by defining and executing test scenarios (i.e., sequences of user-chatbot interactions). However, there is currently a lack of methods to quantify the completeness and strength of such test scenarios, which can lead to low-quality tests, and hence to buggy chatbots.
To fill this gap, we propose adapting mutation testing (MuT) for task-oriented chatbots. To this end, we introduce a set of mutation operators that emulate faults in chatbot designs, an architecture that enables MuT on chatbots built using heterogeneous technologies, and a practical realisation as an Eclipse plugin. Moreover, we evaluate the applicability, effectiveness and efficiency of our approach on open-source chatbots, with promising results.
GlobalLogic Java Community Webinar #18 “How to Improve Web Application Perfor...
Під час доповіді відповімо на питання, навіщо потрібно підвищувати продуктивність аплікації і які є найефективніші способи для цього. А також поговоримо про те, що таке кеш, які його види бувають та, основне — як знайти performance bottleneck?
Відео та деталі заходу: https://bit.ly/45tILxj
Introducing BoxLang : A new JVM language for productivity and modularity!
Just like life, our code must adapt to the ever changing world we live in. From one day coding for the web, to the next for our tablets or APIs or for running serverless applications. Multi-runtime development is the future of coding, the future is to be dynamic. Let us introduce you to BoxLang.
Dynamic. Modular. Productive.
BoxLang redefines development with its dynamic nature, empowering developers to craft expressive and functional code effortlessly. Its modular architecture prioritizes flexibility, allowing for seamless integration into existing ecosystems.
Interoperability at its Core
With 100% interoperability with Java, BoxLang seamlessly bridges the gap between traditional and modern development paradigms, unlocking new possibilities for innovation and collaboration.
Multi-Runtime
From the tiny 2m operating system binary to running on our pure Java web server, CommandBox, Jakarta EE, AWS Lambda, Microsoft Functions, Web Assembly, Android and more. BoxLang has been designed to enhance and adapt according to it's runnable runtime.
The Fusion of Modernity and Tradition
Experience the fusion of modern features inspired by CFML, Node, Ruby, Kotlin, Java, and Clojure, combined with the familiarity of Java bytecode compilation, making BoxLang a language of choice for forward-thinking developers.
Empowering Transition with Transpiler Support
Transitioning from CFML to BoxLang is seamless with our JIT transpiler, facilitating smooth migration and preserving existing code investments.
Unlocking Creativity with IDE Tools
Unleash your creativity with powerful IDE tools tailored for BoxLang, providing an intuitive development experience and streamlining your workflow. Join us as we embark on a journey to redefine JVM development. Welcome to the era of BoxLang.
What is an RPA CoE? Session 2 – CoE Roles
In this session, we will review the players involved in the CoE and how each role impacts opportunities.
Topics covered:
• What roles are essential?
• What place in the automation journey does each role play?
Speaker:
Chris Bolin, Senior Intelligent Automation Architect Anika Systems
AppSec PNW: Android and iOS Application Security with MobSF
Mobile Security Framework - MobSF is a free and open source automated mobile application security testing environment designed to help security engineers, researchers, developers, and penetration testers to identify security vulnerabilities, malicious behaviours and privacy concerns in mobile applications using static and dynamic analysis. It supports all the popular mobile application binaries and source code formats built for Android and iOS devices. In addition to automated security assessment, it also offers an interactive testing environment to build and execute scenario based test/fuzz cases against the application.
This talk covers:
Using MobSF for static analysis of mobile applications.
Interactive dynamic security assessment of Android and iOS applications.
Solving Mobile app CTF challenges.
Reverse engineering and runtime analysis of Mobile malware.
How to shift left and integrate MobSF/mobsfscan SAST and DAST in your build pipeline.
Harnessing the Power of NLP and Knowledge Graphs for Opioid Research
Gursev Pirge, PhD
Senior Data Scientist - JohnSnowLabs
ScyllaDB Tablets: Rethinking Replication
ScyllaDB is making a major architecture shift. We’re moving from vNode replication to tablets – fragments of tables that are distributed independently, enabling dynamic data distribution and extreme elasticity. In this keynote, ScyllaDB co-founder and CTO Avi Kivity explains the reason for this shift, provides a look at the implementation and roadmap, and shares how this shift benefits ScyllaDB users.
QR Secure: A Hybrid Approach Using Machine Learning and Security Validation F...
QR Secure: A Hybrid Approach Using Machine Learning and Security Validation Functions to Prevent Interaction with Malicious QR Codes.
Aim of the Study: The goal of this research was to develop a robust hybrid approach for identifying malicious and insecure URLs derived from QR codes, ensuring safe interactions.
This is achieved through:
Machine Learning Model: Predicts the likelihood of a URL being malicious.
Security Validation Functions: Ensures the derived URL has a valid certificate and proper URL format.
This innovative blend of technology aims to enhance cybersecurity measures and protect users from potential threats hidden within QR codes 🖥 🔒
This study was my first introduction to using ML which has shown me the immense potential of ML in creating more secure digital environments!
Lee Barnes - Path to Becoming an Effective Test Automation Engineer.pdf
So… you want to become a Test Automation Engineer (or hire and develop one)? While there’s quite a bit of information available about important technical and tool skills to master, there’s not enough discussion around the path to becoming an effective Test Automation Engineer that knows how to add VALUE. In my experience this had led to a proliferation of engineers who are proficient with tools and building frameworks but have skill and knowledge gaps, especially in software testing, that reduce the value they deliver with test automation.
In this talk, Lee will share his lessons learned from over 30 years of working with, and mentoring, hundreds of Test Automation Engineers. Whether you’re looking to get started in test automation or just want to improve your trade, this talk will give you a solid foundation and roadmap for ensuring your test automation efforts continuously add value. This talk is equally valuable for both aspiring Test Automation Engineers and those managing them! All attendees will take away a set of key foundational knowledge and a high-level learning path for leveling up test automation skills and ensuring they add value to their organizations.
GNSS spoofing via SDR (Criptored Talks 2024)
In the realm of cybersecurity, offensive security practices act as a critical shield. By simulating real-world attacks in a controlled environment, these techniques expose vulnerabilities before malicious actors can exploit them. This proactive approach allows manufacturers to identify and fix weaknesses, significantly enhancing system security.
This presentation delves into the development of a system designed to mimic Galileo's Open Service signal using software-defined radio (SDR) technology. We'll begin with a foundational overview of both Global Navigation Satellite Systems (GNSS) and the intricacies of digital signal processing.
The presentation culminates in a live demonstration. We'll showcase the manipulation of Galileo's Open Service pilot signal, simulating an attack on various software and hardware systems. This practical demonstration serves to highlight the potential consequences of unaddressed vulnerabilities, emphasizing the importance of offensive security practices in safeguarding critical infrastructure.
Apps Break Data
How information systems are built or acquired puts information, which is what they should be about, in a secondary place. Our language adapted accordingly, and we no longer talk about information systems but applications. Applications evolved in a way to break data into diverse fragments, tightly coupled with applications and expensive to integrate. The result is technical debt, which is re-paid by taking even bigger "loans", resulting in an ever-increasing technical debt. Software engineering and procurement practices work in sync with market forces to maintain this trend. This talk demonstrates how natural this situation is. The question is: can something be done to reverse the trend?
From Natural Language to Structured Solr Queries using LLMs
This talk draws on experimentation to enable AI applications with Solr. One important use case is to use AI for better accessibility and discoverability of the data: while User eXperience techniques, lexical search improvements, and data harmonization can take organizations to a good level of accessibility, a structural (or “cognitive” gap) remains between the data user needs and the data producer constraints.
That is where AI – and most importantly, Natural Language Processing and Large Language Model techniques – could make a difference. This natural language, conversational engine could facilitate access and usage of the data leveraging the semantics of any data source.
The objective of the presentation is to propose a technical approach and a way forward to achieve this goal.
The key concept is to enable users to express their search queries in natural language, which the LLM then enriches, interprets, and translates into structured queries based on the Solr index’s metadata.
This approach leverages the LLM’s ability to understand the nuances of natural language and the structure of documents within Apache Solr.
The LLM acts as an intermediary agent, offering a transparent experience to users automatically and potentially uncovering relevant documents that conventional search methods might overlook. The presentation will include the results of this experimental work, lessons learned, best practices, and the scope of future work that should improve the approach and make it production-ready.
"Scaling RAG Applications to serve millions of users", Kevin Goedecke
How we managed to grow and scale a RAG application from zero to thousands of users in 7 months. Lessons from technical challenges around managing high load for LLMs, RAGs and Vector databases.
Dandelion Hashtable: beyond billion requests per second on a commodity server
This slide deck presents DLHT, a concurrent in-memory hashtable. Despite efforts to optimize hashtables, that go as far as sacrificing core functionality, state-of-the-art designs still incur multiple memory accesses per request and block request processing in three cases. First, most hashtables block while waiting for data to be retrieved from memory. Second, open-addressing designs, which represent the current state-of-the-art, either cannot free index slots on deletes or must block all requests to do so. Third, index resizes block every request until all objects are copied to the new index. Defying folklore wisdom, DLHT forgoes open-addressing and adopts a fully-featured and memory-aware closed-addressing design based on bounded cache-line-chaining. This design offers lock-free index operations and deletes that free slots instantly, (2) completes most requests with a single memory access, (3) utilizes software prefetching to hide memory latencies, and (4) employs a novel non-blocking and parallel resizing. In a commodity server and a memory-resident workload, DLHT surpasses 1.6B requests per second and provides 3.5x (12x) the throughput of the state-of-the-art closed-addressing (open-addressing) resizable hashtable on Gets (Deletes).
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Dandelion Hashtable: beyond billion requests per second on a commodity server
L06 Diffusion of Innovation
- 1. LECTURE L06 DIFFUSION OF TECHNOLOGY
- 2. Why is it that good products can fail and inferior – “good enough” products can succeed? What are the customers really buying?
- 4. Edison Phonograph Victor Talking Machine’s Victrola
- 7. Edison’s ideas for the phonograph 1. Letter writing and all kinds of dictation 2. Phonographic books, which will speak to blind people 3. The teaching of elocution. 4. Reproduction of music. 5. The "Family Record” ... and of the last words of dying persons. 6. Music-boxes and toys. 7. Clocks that should announce... time for going home, going to meals, etc. 8. The preservation of languages 9. Educational purposes 10. Connection with the telephone http://memory.loc.gov/ammem/edhtml/edcyldr.html
- 8. Edison Phonograph Victor Talking Machine’s Victrola
- 9. Phonograph conclusion: Customers wanted music by their favourite singers - the stars Disk are more convenient
- 10. Porn Industry Licensing Issues Betamax standard tape was 60 minutes while VHS was 2 hours
- 11. Betamax conclusion: Customers wanted to record and/or rent movies Legal issues also played some part And the Porn Industry was forced to adopt VHS
- 12. Development started 1978 Release 1983 Sold 100.000 machines Featured preemptive multi- tasking OS with Graphical User Interface
- 13. Lisa conclusion: The vision was right Technology just was not there Too many features
- 14. Customer Motivations Customer are not always buying products for the reason the inventor thinks
- 16. VisiCalc
- 17. Technological change is relatively easy
- 18. It’s the social, organisational and cultural change that is hard
- 19. Technology Adoption Life Cycle - The Law of Diffusion of Innovation Diffusion of Innovation
- 20. TECHNOLOGY CONSUMER Technology Adoption Life Cycle - The Law of Diffusion of Innovation
- 21. In the early days The innovators and technology enthusiasts drive the market They demand technology Small percentage of the market In the later days The pragmatists and conservatives dominate; they want solutions and convenience The big market Technology Adoption Life Cycle - The Law of Diffusion of Innovation
- 22. In the early days THEY BUY FOR THE WHY In the later days THEY BUY FOR THE WHAT Technology Adoption Life Cycle - The Law of Diffusion of Innovation
- 23. VISIONARIES WHY Technology Adoption Life Cycle - The Law of Diffusion of Innovation
- 24. Innovations that will transform the world
- 25. Self-driving car
- 27. MOOC - massively open online courses
- 29. Why is Apple so successful when other companies fail?
- 30. APPLE WAS IRRELEVANT AND ALMOST BACKRUPT IN 1997 IN 2012 IT WAS THE MOST VALUABLE COMPANY IN THE WORLD
- 35. AAPL Apple stock from 1997 to now
- 36. Brain NEO CORTX: RATIONAL, ANALITICAL THOUGHT, LANGUAGE LIMBRIC SYSTEM: FEELINGS, TRUST, LOYLTY, BEHAVIOUR, DECISION MAKING REPTILIAN: INSTINCTS, HUNGER, DANGER
- 37. Start with Why: How Great Leaders Inspire Action Simon Sinek
- 39. FORMULA FOR SUCCESS? 1. Strong funding 2. Right people 3. Market conditions Is this all it takes?
- 42. Technology Adoption Life Cycle VISIONARIES
- 43. Source: Geoffrey A. Moore: Crossing the chasm Crossing the Chasm The change in customers as technology matures Crossing the chasm – or the Tipping point
- 45. What triggers the tipping point?
- 46. What caused the tipping point for the iPod? Apple said it sold a record 22.7 million iPods, which commands a 70% share of the U.S. market for music players. (source: LA times)
- 48. Apple iPod Sales