The document discusses the history of innovations in communications technology and predictions made about their potential. It notes how rockets, computers, phones, and the internet have developed over time. The document argues that high-speed broadband internet could enable new applications and transform industries like media, tourism, and healthcare by allowing data sharing and remote access to services. However, many innovations are difficult to predict, as shown by past skeptical quotes about technologies like radio and computers.
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 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.
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.
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.
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, and serendipity.
Many scientists agree that science fiction sparked their interest in science and helped them make discoveries. Many fictitious technologies have later appeared in the real world. Arthur C. Clarke outlined how radio signals may bounce off satellites for long-distance communication in 1945, long before the first satellite orbiting Earth. Satellites for communication are now widely used.
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.
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.
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 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.
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.
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.
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, and serendipity.
Many scientists agree that science fiction sparked their interest in science and helped them make discoveries. Many fictitious technologies have later appeared in the real world. Arthur C. Clarke outlined how radio signals may bounce off satellites for long-distance communication in 1945, long before the first satellite orbiting Earth. Satellites for communication are now widely used.
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.
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.
Slide 1:
Communication in 2023
Ashley Elgin
Slide 2:
What will the communication technology landscape look like in 2023 A.D.?
Slide 3:
Before we look to the future of technology, we must examine the past.
1983: Apple Lisa
The first commercial computer with a graphical user interface (GUI) — the advance that would finally make computers usable by people with no special training. The name was the acronym for “Local Integrated Software Architecture” and possibly the daughter of someone on the development team (Steve Jobs). The computer was $10,000 and only sold 10,000 of them.
1993: Polaroid, Powerbook and pagers
JVC Video Camcorder, Apple PowerBook 160, Polaroid OneStep, Sony Sports Walkman cassette player and a pager.
2003: The iTunes Music Store was launched.
At the time, “For every 99 cents Apple gets from your credit card, 65 cents goes straight to the music label. Another quarter or so gets eaten up by distribution costs. At most, Jobs is left with a dime per track, so even $500 million in annual sales would add up to a paltry $50 million profit. Why even bother? "Because we're selling iPods," Jobs says, grinning.”
Slide 4:
Phones-
iPhone 5
Samsung Galaxy
Computers-
Windows 8
Apple
Tablets-
iPad
Kindle
Nook
Slide 5: Phone
Slide 6: Computers
Slide 7: Tablets
Slide 8: Critical Mass Theory
Slide 9: Moore’s Innovation Adoption Rate
Slide 10: Media System Dependency Theory
Slide 11: Continued
Slide 12: Works Cited
Slide 1:
Communication in 2023
Ashley Elgin
Slide 2:
What will the communication technology landscape look like in 2023 A.D.?
Slide 3:
Before we look to the future of technology, we must examine the past.
1983: Apple Lisa
The first commercial computer with a graphical user interface (GUI) — the advance that would finally make computers usable by people with no special training. The name was the acronym for “Local Integrated Software Architecture” and possibly the daughter of someone on the development team (Steve Jobs). The computer was $10,000 and only sold 10,000 of them.
1993: Polaroid, Powerbook and pagers
JVC Video Camcorder, Apple PowerBook 160, Polaroid OneStep, Sony Sports Walkman cassette player and a pager.
2003: The iTunes Music Store was launched.
At the time, “For every 99 cents Apple gets from your credit card, 65 cents goes straight to the music label. Another quarter or so gets eaten up by distribution costs. At most, Jobs is left with a dime per track, so even $500 million in annual sales would add up to a paltry $50 million profit. Why even bother? "Because we're selling iPods," Jobs says, grinning.”
Slide 4:
Phones-
iPhone 5
Samsung Galaxy
Computers-
Windows 8
Apple
Tablets-
iPad
Kindle
Nook
Slide 5: Phone
Slide 6: Computers
Slide 7: Tablets
Slide 8: Critical Mass Theory
Slide 9: Moore’s Innovation Adoption Rate
Slide 10: Media System Dependency Theory
Slide 11: Contiued
Slide 12: Works Cited
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.
Data is new Oil ⛽️⛽️
The 4th Industrial revolution majorly fusion of Bits & Atom technologies (Autonomous vehicle,3D Printing, Robotics, Drones) that will fundamentally alter the way we live, work & achieve technological #Singularity‼️
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.
For the most time of human history, life was local and linear. Local in the way that anything that happened was close by, a least within a walking distance. Linear in the way that your life was the same as your parents and your children. Nothing ever changed.
Just like the evolution of man, technology improvements follow an evolutionary progress. New ideas or products are to begin with immature and fragile with slow improvements. Then the progress accelerates until the products become mature and taken for granted. Then the cycle repeats and a new layer of technology is added to the previous. This process is exponential. One such observation of exponential is Moore’s Law.
We will explore what exponential means. We look at Moore´s law and The Law of the Accelerating returns.
At any given 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? 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.
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.
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.
Top 10-recent-invention-of-science-without-videomsnsela
We humans are ingenious groups in this world. Right from the moment when someone rubbed two stones to light a fire, or bashed a rock to make the first tool, to the development of Internet and Mars rovers, we have already made some revolutionary advancements in several areas of science and technology. Beginning from a nail or a wheel to compass and to millions of new things that were never seen or felt before is a pure magic with their ability to improve the quality of life and advancement in human lives. Let us look at the top 10 greatest modern inventions.
Social media and gov 2.0 in australian governmentCraig Thomler
A presentation given at the Department of Innovation lunch event on social media in August 2010, outlining the reasons why Australian Government need to consider social media in their communications and engagement activities.
Slide 1:
Communication in 2023
Ashley Elgin
Slide 2:
What will the communication technology landscape look like in 2023 A.D.?
Slide 3:
Before we look to the future of technology, we must examine the past.
1983: Apple Lisa
The first commercial computer with a graphical user interface (GUI) — the advance that would finally make computers usable by people with no special training. The name was the acronym for “Local Integrated Software Architecture” and possibly the daughter of someone on the development team (Steve Jobs). The computer was $10,000 and only sold 10,000 of them.
1993: Polaroid, Powerbook and pagers
JVC Video Camcorder, Apple PowerBook 160, Polaroid OneStep, Sony Sports Walkman cassette player and a pager.
2003: The iTunes Music Store was launched.
At the time, “For every 99 cents Apple gets from your credit card, 65 cents goes straight to the music label. Another quarter or so gets eaten up by distribution costs. At most, Jobs is left with a dime per track, so even $500 million in annual sales would add up to a paltry $50 million profit. Why even bother? "Because we're selling iPods," Jobs says, grinning.”
Slide 4:
Phones-
iPhone 5
Samsung Galaxy
Computers-
Windows 8
Apple
Tablets-
iPad
Kindle
Nook
Slide 5: Phone
Slide 6: Computers
Slide 7: Tablets
Slide 8: Critical Mass Theory
Slide 9: Moore’s Innovation Adoption Rate
Slide 10: Media System Dependency Theory
Slide 11: Continued
Slide 12: Works Cited
Slide 1:
Communication in 2023
Ashley Elgin
Slide 2:
What will the communication technology landscape look like in 2023 A.D.?
Slide 3:
Before we look to the future of technology, we must examine the past.
1983: Apple Lisa
The first commercial computer with a graphical user interface (GUI) — the advance that would finally make computers usable by people with no special training. The name was the acronym for “Local Integrated Software Architecture” and possibly the daughter of someone on the development team (Steve Jobs). The computer was $10,000 and only sold 10,000 of them.
1993: Polaroid, Powerbook and pagers
JVC Video Camcorder, Apple PowerBook 160, Polaroid OneStep, Sony Sports Walkman cassette player and a pager.
2003: The iTunes Music Store was launched.
At the time, “For every 99 cents Apple gets from your credit card, 65 cents goes straight to the music label. Another quarter or so gets eaten up by distribution costs. At most, Jobs is left with a dime per track, so even $500 million in annual sales would add up to a paltry $50 million profit. Why even bother? "Because we're selling iPods," Jobs says, grinning.”
Slide 4:
Phones-
iPhone 5
Samsung Galaxy
Computers-
Windows 8
Apple
Tablets-
iPad
Kindle
Nook
Slide 5: Phone
Slide 6: Computers
Slide 7: Tablets
Slide 8: Critical Mass Theory
Slide 9: Moore’s Innovation Adoption Rate
Slide 10: Media System Dependency Theory
Slide 11: Contiued
Slide 12: Works Cited
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.
Data is new Oil ⛽️⛽️
The 4th Industrial revolution majorly fusion of Bits & Atom technologies (Autonomous vehicle,3D Printing, Robotics, Drones) that will fundamentally alter the way we live, work & achieve technological #Singularity‼️
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.
For the most time of human history, life was local and linear. Local in the way that anything that happened was close by, a least within a walking distance. Linear in the way that your life was the same as your parents and your children. Nothing ever changed.
Just like the evolution of man, technology improvements follow an evolutionary progress. New ideas or products are to begin with immature and fragile with slow improvements. Then the progress accelerates until the products become mature and taken for granted. Then the cycle repeats and a new layer of technology is added to the previous. This process is exponential. One such observation of exponential is Moore’s Law.
We will explore what exponential means. We look at Moore´s law and The Law of the Accelerating returns.
At any given 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? 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.
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.
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.
Top 10-recent-invention-of-science-without-videomsnsela
We humans are ingenious groups in this world. Right from the moment when someone rubbed two stones to light a fire, or bashed a rock to make the first tool, to the development of Internet and Mars rovers, we have already made some revolutionary advancements in several areas of science and technology. Beginning from a nail or a wheel to compass and to millions of new things that were never seen or felt before is a pure magic with their ability to improve the quality of life and advancement in human lives. Let us look at the top 10 greatest modern inventions.
Social media and gov 2.0 in australian governmentCraig Thomler
A presentation given at the Department of Innovation lunch event on social media in August 2010, outlining the reasons why Australian Government need to consider social media in their communications and engagement activities.
Harnessing the power of the Web to Reinvent Management.
The Management 2.0 Hackathon, a joint collaborative effort by the MIX, Saba, and the Enterprise 2.0 Conference, was inspired by hacakathons in the world of software development. A management hackathon is a short, intense, coordinated effort to develop useful hacks—innovative ideas or solutions—that can be implemented by organizations to overcome barriers to progress and innovation.
For the Management 2.0 Hackathon, we wanted to discover what pathologies were holding backing Management 1.0 today, what principles of the Web could inspire Management 2.0, and where companies are already applying these principles successfully. The process would culminate in the development of management hacks, designed to be practical experiments and practices that any organization could apply today.
More than 900 progressive management practitioners and technologists from around the world joined this hands-on effort—sharing perspectives, contributing ideas, and generating hacks.
It was a massive collaborative effort that yielded some very compelling results.
Refer to: http://www.managementexchange.com/blog/management-20-hackathon-using-inspiration-web-hack-management
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 United States License.
Transparency in Government - Gov 2.0 and what it means for Science JournalistsCraig Thomler
These are the slides for my presentation at the 8th World Conference of Science Journalists, looking at how Gov 2.0 is changing the way science is funded, data is collected, analysed, reported and used.
Privacy and social media for Australian governmentsCraig Thomler
This presentation, given in both the Canberra and Adelaide Social Media conferences by Akolade, provides a view on the dangers and mitigations for privacy concerns when government agencies use social media
A Sense of the Future - L'humanité a besoin rêveursShoumen Datta
Perhaps a glimpse of the future viewed through the lens of convergence of science and technology with education, business and management of innovation. May act as a companion to my book http://bit.ly/Fiction_CACS
Never Saw it Coming: The Worst Technology Predictions of All TimeShoreTel
Throughout history, sometimes even the most astute business people didn’t grasp the value of emerging technologies. Take a look back at some of the worst technology predictions of all time.
In the Spiceworks infographic, "The Evolution of Information Technology Through US Presidential Administrations," we take a trip down memory lane to reflect on milestones in the evolution of IT over 9 decades, analyze the role of tech in US history and popular culture, and cite computing quotes from US Presidents and popular figures.
Chapter 10 of a university course in media history by Prof. Bill Kovarik, based on the book Revolutions in Communication: Media History from Gutenberg to the Digital Age (Bloomsbury, 2nd ed., 2015).
It's risky to say that something can't or won't be done, especially when technology is concerned. Here are some past quotations that still haunt their speakers today:
Project 2 For this project, please pick either Option A or Opt.docxwkyra78
Project 2
For this project, please pick either Option A or Option B.
Write your answers to the following questions in Short Essay Format. Be sure to include reasons and facts as required to support your answers. Total length of response for this assignment needs to be a minimum of 2 full pages; maximum response is 3 pages.Use MS Word or its equivalent.
Option A.
Background:
The “computer revolution” is here. The changes these machines are bringing to society are profound, if not revolutionary. Moreover, like many previous revolutions, the computer revolution is happening very quickly. The computer as defined today did not exist in 1950. Before World War II, the word computer meant a human being who worked at a desk with a calculating machine, or something built by a physics professor to solve a particular problem, used once or twice, and then retired to a basement storeroom. Modern computers - machines that do a wide variety of things, many having little to do with mathematics or physics - emerged after World War II from the work of a dozen or so individuals in England, Germany, and the United States. The "revolution," however one may define it, began only when their work became better known and appreciated.
These perceptions, which lay behind the widely held belief that computers would never find more than a limited (though important) market in the industrialized world, came mainly from looking at the new invention strictly in the context of what it was replacing: calculating machines and their human operators. That context was what limited the pioneers' vision.
Whenever a new technology is born, few see its ultimate place in society. The inventors of radio did not foresee its use for broadcasting entertainment, sports, and news; they saw it as a telegraph without wires. The early builders of automobiles did not see an age of "automobiles"; they saw a "horseless carriage." Likewise, the computer's inventors perceived its role in future society in terms of the functions it was specifically replacing in contemporary society. The predictions that they made about potential applications for the new invention had to come from the context of "computing" as they knew of. Though they recognized the electronic computer's novelty, they did not see how it would permit operations fundamentally different from those performed by human computers.
Assignment:Your challenge is to imagine the dynamics of an emerging technology.
First, pick a current emerging high technology trend (innovation, invention, or gadget) that would utilize some new application of knowledge or scientific discovery. Then discuss, using your own opinion, what the ultimate uses of that technology might be? How will the impact of that technology affect civilization and life as we know it? What differences will it make? How might the evolution of that technology change social, political, and economic conditions? What beneficial effects or harmful effects will result? Look ...
Changing how agencies change - Embedding digital transformation in organisati...Craig Thomler
A personal presentation given to the Public Sector Officers Digital Transformation Summit on 20 April 2017, based on several eGovAU blog posts - '
What comes after digital transformation for government?' (http://egovau.blogspot.com.au/2016/02/what-comes-after-digital-transformation.html) and 'Ensuring that digital transformation delivers the right outcomes for Australia's Government' (http://egovau.blogspot.com.au/2016/12/ensuring-that-digital-transformation.html)
Crowdfunding: How to set up a campaign (from my personal experience)Craig Thomler
This is the presentation I gave at BarCamp Canberra 2014 about my experience setting up a crowdfunding campaign.
I launched my Kickstarter at the end of the presentation.
Learn more about it at: www.kickstarter.com/projects/socialmediaplanner/social-media-planner
Social media in government - presentation to NSW HealthCraig Thomler
This presentation provides an overview of how governments in Australia are using social media, risks they may face and how to address these with structured processes and guidelines. It finishes with some quick case studies of excellent use of social media by the public sector.
Shiny New Toys (and why humans like them so much)Craig Thomler
Key note presentation by Craig Thomler to RightClick 2012.
Discusses why humans are attracted to shiny new things, how humans make decisions and how to ensure that digital strategies are developed rationally, not emotionally.
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.
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.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
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
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...
Publicsphere 1 - High Bandwidth for Australia - The Unexplored Country
1. The unexplored country Public Sphere #1 – High Bandwidth for Australia Craig Thomler T: @craigthomler E: [email_address] W: http://egovau.blogspot.com 7 May 2009
2. "Professor Goddard does not know the relation between action and reaction and the need to have something better than a vacuum against which to react. He seems to lack the basic knowledge ladled out daily in high schools." 1921 New York Times editorial about Robert Goddard's revolutionary rocket work. 1232 First rockets in war 1981 First shuttle flight
3. 1876 First phone call 2008 iPhone released "This 'telephone' has too many shortcomings to be seriously considered as a means of communication. The device is inherently of no value to us." Western Union internal memo, 1876
4. 1946 ENIAC computer 2006 XO laptop for kids “ I think there is a world market for maybe five computers.” Thomas Watson, chairman of IBM, 1943 “ Computers in the future may weigh no more than 1.5 tons.” Popular Mechanics, forecasting the relentless march of science, 1949
5. Crystal Ball 3D computer control device – MIT Electronic Systems Laboratory display console, 1963 The future?
18. So who's right? “ Louis Pasteur's theory of germs is ridiculous fiction.” Pierre Pachet, Professor of Physiology at Toulouse, 1872 “ Heavier-than-air flying machines are impossible.” Lord Kelvin, president, Royal Society, 1895 “ The wireless music box has no imaginable commercial value. Who would pay for a message sent to nobody in particular?” David Sarnoff's associates in response to his urgings for investment in the radio, 1920s “ Who the hell wants to hear actors talk?” H. M. Warner, Warner Brothers, 1927 “ But what ... is it good for?” Engineer at IBM on the microchip, 1968 … only 17.6% predicted the faster connection speeds were “likely to generate new products and services”. Australian Industry Group survey of 526 Australian CEOs regarding high speed broadband – The Big Chair, 22 October 2008
19. So who's right? “ Virtually nothing has been invented yet. We're just starting...” Woody Norris, Inventor www.ted.com/index.php/talks/woody_norris_invents_amazing_things.html
24. Phone call – "Alexander Graham Bell Speaking on the Phone, 1892." 1892. Gilbert H. Grosvenor Collection, Prints and Photographs Division, Library of Congress.