In connection with the EU Water Project awarded to CNR Catania, I gave this inspirational talk to Physics Students at Catania University and old research colleagues on how to transition from Academia to the often very non-scientific world of Corporation. How to keep your sanity, curiosity (i.e., “But Why?”) and continue to have fun throughout your career.
Inspirational talk on AI (artificial intelligence) and machine learning, i.e., how to give birth to an AI. Introductory and intentionally kept simple for non experts and non technical executives. Care should be taken not too over interpret some of the intentional simplified statements in the presentation.
Had the great privilege to deliver this presentation at one of Europe's finest alternative tech conferences. Enjoyed it immensely. Check it out http://brainbar.com/#speakers and join next year!
A review of the issues associated with prospective technological unemployment. This includes the outlook for universal income or guaranteed income funded by robot taxes. It also covers the U.S. fiscal capacity to undertake such a scheme.
Behind the Slow Growth of AI: Failed Moonshots, Unprofitable Startups, Error...Jeffrey Funk
Smaller than expected markets, money-losing startups, failure of Watson, slow-diffusion of self-driving vehicles and medical imaging, and scorching criticisms of Google’s research papers are some of the examples used to characterize the hype of AI. There are some successes, but they are much smaller than the predictions, with advertising, news, and e-commerce having the biggest success stories. Looking forward, #AI will augment not replace workers just as past technologies did on farms, factories, and offices. Robotic process automation and natural language processing are likely to play important roles in this augmentation with #RPA automating repetitive work, natural language processing categorizing information, and RPA also putting the information in the right bins for engineers, accountants, researchers, journalists, and lawyers. The big challenges include exponentially rising demands on computers for high accuracies in images, a slowdown in supercomputer improvements, datasets riddled with errors, and reproducibility problems. See either this podcast or my slides, whose URL is shown in comments. #technolgy #innovation #venturecapital #ipo #artificialintelligence
I developed this presentation to discuss the framework for automation and autonomic operations in particular in the Finance domain. It is high level introductory but includes guidance of how to best select AI and RPA projects with higher implementation success rates. If you are interested in a copy dont be shy! Reach out!
Are you ready for the 4th industrial revolution?Sylvain Kalache
It's been a year that I left my job at LinkedIn to start my new professional life in the world of education, I wanted to share the biggest thing I learnt during this time.
Our world as we know it is about to drastically change, with the recent huge improvements in the world of deep learning and artificial intellligence, we are about to enter a new world where robot will take over a lot of tasks that were done by humans. What will be the impact? How shall we react? How to train the workforce? Are few questions I answer in this deck.
Linked blog post here: https://www.linkedin.com/pulse/you-ready-4th-industrial-revolution-sylvain-kalache
Inspirational talk on AI (artificial intelligence) and machine learning, i.e., how to give birth to an AI. Introductory and intentionally kept simple for non experts and non technical executives. Care should be taken not too over interpret some of the intentional simplified statements in the presentation.
Had the great privilege to deliver this presentation at one of Europe's finest alternative tech conferences. Enjoyed it immensely. Check it out http://brainbar.com/#speakers and join next year!
A review of the issues associated with prospective technological unemployment. This includes the outlook for universal income or guaranteed income funded by robot taxes. It also covers the U.S. fiscal capacity to undertake such a scheme.
Behind the Slow Growth of AI: Failed Moonshots, Unprofitable Startups, Error...Jeffrey Funk
Smaller than expected markets, money-losing startups, failure of Watson, slow-diffusion of self-driving vehicles and medical imaging, and scorching criticisms of Google’s research papers are some of the examples used to characterize the hype of AI. There are some successes, but they are much smaller than the predictions, with advertising, news, and e-commerce having the biggest success stories. Looking forward, #AI will augment not replace workers just as past technologies did on farms, factories, and offices. Robotic process automation and natural language processing are likely to play important roles in this augmentation with #RPA automating repetitive work, natural language processing categorizing information, and RPA also putting the information in the right bins for engineers, accountants, researchers, journalists, and lawyers. The big challenges include exponentially rising demands on computers for high accuracies in images, a slowdown in supercomputer improvements, datasets riddled with errors, and reproducibility problems. See either this podcast or my slides, whose URL is shown in comments. #technolgy #innovation #venturecapital #ipo #artificialintelligence
I developed this presentation to discuss the framework for automation and autonomic operations in particular in the Finance domain. It is high level introductory but includes guidance of how to best select AI and RPA projects with higher implementation success rates. If you are interested in a copy dont be shy! Reach out!
Are you ready for the 4th industrial revolution?Sylvain Kalache
It's been a year that I left my job at LinkedIn to start my new professional life in the world of education, I wanted to share the biggest thing I learnt during this time.
Our world as we know it is about to drastically change, with the recent huge improvements in the world of deep learning and artificial intellligence, we are about to enter a new world where robot will take over a lot of tasks that were done by humans. What will be the impact? How shall we react? How to train the workforce? Are few questions I answer in this deck.
Linked blog post here: https://www.linkedin.com/pulse/you-ready-4th-industrial-revolution-sylvain-kalache
Towards a New Distributional EconomicsTim O'Reilly
A talk I gave on December 1, 2017 for a workshop on AI and the future of the economy organized by the OECD and the Berkeley Roundtable on the International Economy. In it, I explore implications of AI and internet-scale platforms for the design of markets, with the goal of starting a conversation about what we might call "distributional economics."
Reinventing Healthcare to Serve People, Not InstitutionsTim O'Reilly
My talk at South by Southwest on March 16, 2015. I use examples from consumer technology (the Apple Store, Uber/Lyft, and Google Now) to show where "the bar" is now for user experience, and what that should teach us about how to redesign healthcare. I also talk about the work of Code for America to debug the UX for CalFresh and MediCal.
Leading into the Future: the most important things you need to know about the...Gerd Leonhard
This deck comprises the best scenes from my last 10 keynotes and presentations, using my new graphics and animations, riffing on topics such as exponential change, the 8 game changers, technology vs humanity, digital ethics and more - check out a list of my general topics here: https://www.futuristgerd.com/topics/current-topics/
Driven by the rapid progress in Artificial Intelligence (AI) research, intelligent machines are gaining the ability to learn, improve and make calculated decisions in ways that will enable them to perform tasks previously thought to rely solely on human experience, creativity, and ingenuity. As a result, we will in the near future see large parts of our lives influenced by AI.
AI innovation will also be central to the achievement of the United Nations' Sustainable Development Goals (SDGs) and will help solving humanity's grand challenges by capitalizing on the unprecedented quantities of data now being generated on sentiment behavior, human health, commerce, communications, migration and more.
With large parts of our lives being influenced by AI, it is critical that government, industry, academia and civil society work together to evaluate the opportunities presented by AI, ensuring that AI benefits all of humanity. Responding to this critical issue, ITU and the XPRIZE Foundation organized AI for Good Global Summit in Geneva, 7-9 June, 2017 in partnership with a number of UN sister agencies. The Summit aimed to accelerate and advance the development and democratization of AI solutions that can address specific global challenges related to poverty, hunger, health, education, the environment, and others.
The Summit provided a neutral platform for government officials, UN agencies, NGO's, industry leaders, and AI experts to discuss the ethical, technical, societal and policy issues related to AI, offer reccommendations and guidance, and promote international dialogue and cooperation in support of AI innovation.
Please visit the AI for Good Global Summit page for more resources: https://www.itu.int/en/ITU-T/AI/Pages/201706-default.aspx
If you would like to speak, partner or sponsor the 2018 edition of the summit, please contact: ai@itu.int
WTF - Why the Future Is Up to Us - pptx versionTim O'Reilly
This is the talk I gave January 12, 2017 at the G20/OECD Conference on the Digital Future in Berlin. I talk about fitness landscapes as applied to technology and business, the role of unchecked financialization in the state of our politics and economy, and why technology really wants to create jobs, not destroy them. (There is a separate PDF version, but some readers said the notes were too fuzzy to read.)
Technology and Humanity, AI and The Future: Bratislava Keynote by Futurist Ge...Gerd Leonhard
Are humans computable? Can AI actually 'think'? What will happen to humans when machines do 'all the work'? This presentation was delivered along with the launch of free Slovak edition of my book Technology vs Humanity see www.techvshuman.com
This is the original keynote file for my talk at the Smart Disclosure Summit in Washington DC on March 30, 2012. I will upload a PDF with notes separately.
My talk for TechStars at Techweek Kansas City in October 2018. While this is a talk based on my book WTF?, it is fairly different from many of the others that I've posted here, in that it focuses specifically on parts of the book that contain advice for entrepreneurs, rather than on the broader questions of technology and the economy. As always, look at the speaker notes for
The Slow Growth of AI: The State of AI and Its ApplicationsJeffrey Funk
The failure of IBM Watson, disappointments of self-driving vehicles, slow diffusion of medical imaging, small markets for AI software, and scorching criticisms of Google’s research papers provide evidence for hype and disappointment in AI, which is consistent with negative social impact of Big Data and AI algorithms. There are some successes, but they are much smaller than the predictions, with virtual applications (advertising, news, retail sales, finance and e-commerce) having the largest success, building from previous Big Data usage in the past. Looking forward, AI will augment not replace workers just as past technologies did on farms, factories, and offices. Robotic process automation and natural language processing are likely to play important roles in this augmentation with RPA automating repetitive work, natural language processing summarizing information, and RPA also putting the information in the right bins for engineers, accountants, researchers, journalists, and lawyers. Big challenges include reductions in training time depending on faster computers, exponentially rising demands on computers for high accuracies in image recognition, a slowdown in supercomputer improvements, datasets riddled with errors, and reproducibility problems.
My keynote at OSCON 2018 in Portland. What I love about open source software, and what that teaches us about how we can have a better future by the better design of online marketplaces and the algorithms that manage them - and our entire economy. The narrative is in the speaker notes.
Do More. Do things that were previously impossible!Tim O'Reilly
My keynote at SxSW Interactive on March 9, 2018. I tackle the job of the entrepreneur to redraw the map, and not to accept the idea that technology will put people out of work rather than creating new kinds of prosperity. I try to provide a call to action to throw off the shackles of the old world and to build a new one. So many companies play defense. Cut costs, watch the competition, follow best practices. Great entrepreneurs like Jeff Bezos and Elon Musk play offense. They see the world with fresh eyes, taking off the blinders that keep companies using technology to make slight improvements to existing products and practices, rather than imagining the world as it could be, given the new capabilities that technology has given us.
A brochure-style presentation to introduce the big picture vision for R7 Partners, a venture capital firm that finds, funds, and builds early-stage startups with ambitious innovation.
People are slowly beginning to realize that the times, they are a-changing. When it comes to the future of work and automation, it’s not a question of how, but when. We usually only react when it’s already too late. But this time, the writings on the wall are too overwhelming to just ignore them.
Now don’t get me wrong. I’m not saying that you should stock up on guns, build a shelter and prepare for Skynet. But it’s probably a good idea to at least start considering the idea that things might change faster than you think. And in the end, we would hate to say we told you so. So start preparing right now with these 6 crucial tips to survive the second machine age.
Introduction to Artificial Intelligence. Not complex and should be relative easy to follow. Be aware that due to its high levelness (and no voice over) some care should be taken by the simplified examples used.
Hereby my Broadband MEA 2013 keynote presentation (delivered 20 March 2013).It's an Extended Re-Mix, rather than the limited slides required for the 15 minutes talk. Hopefully this gives a more rounded view on Growth Dynamics related to mobile data demand and supply in mobile networks as well as the Economics involved (which is often forgotten when the usual suspects gets exited about x1,000 challenges).
Take also a peek at my Blog on the topic:
http://techneconomyblog.com/2012/11/02/the-economics-of-the-thousand-times-challenge/
Enjoy!
Btw. apologies for the fairly hopeless format conversion in this presentation ( it looks better in real ppt format ;-).
Towards a New Distributional EconomicsTim O'Reilly
A talk I gave on December 1, 2017 for a workshop on AI and the future of the economy organized by the OECD and the Berkeley Roundtable on the International Economy. In it, I explore implications of AI and internet-scale platforms for the design of markets, with the goal of starting a conversation about what we might call "distributional economics."
Reinventing Healthcare to Serve People, Not InstitutionsTim O'Reilly
My talk at South by Southwest on March 16, 2015. I use examples from consumer technology (the Apple Store, Uber/Lyft, and Google Now) to show where "the bar" is now for user experience, and what that should teach us about how to redesign healthcare. I also talk about the work of Code for America to debug the UX for CalFresh and MediCal.
Leading into the Future: the most important things you need to know about the...Gerd Leonhard
This deck comprises the best scenes from my last 10 keynotes and presentations, using my new graphics and animations, riffing on topics such as exponential change, the 8 game changers, technology vs humanity, digital ethics and more - check out a list of my general topics here: https://www.futuristgerd.com/topics/current-topics/
Driven by the rapid progress in Artificial Intelligence (AI) research, intelligent machines are gaining the ability to learn, improve and make calculated decisions in ways that will enable them to perform tasks previously thought to rely solely on human experience, creativity, and ingenuity. As a result, we will in the near future see large parts of our lives influenced by AI.
AI innovation will also be central to the achievement of the United Nations' Sustainable Development Goals (SDGs) and will help solving humanity's grand challenges by capitalizing on the unprecedented quantities of data now being generated on sentiment behavior, human health, commerce, communications, migration and more.
With large parts of our lives being influenced by AI, it is critical that government, industry, academia and civil society work together to evaluate the opportunities presented by AI, ensuring that AI benefits all of humanity. Responding to this critical issue, ITU and the XPRIZE Foundation organized AI for Good Global Summit in Geneva, 7-9 June, 2017 in partnership with a number of UN sister agencies. The Summit aimed to accelerate and advance the development and democratization of AI solutions that can address specific global challenges related to poverty, hunger, health, education, the environment, and others.
The Summit provided a neutral platform for government officials, UN agencies, NGO's, industry leaders, and AI experts to discuss the ethical, technical, societal and policy issues related to AI, offer reccommendations and guidance, and promote international dialogue and cooperation in support of AI innovation.
Please visit the AI for Good Global Summit page for more resources: https://www.itu.int/en/ITU-T/AI/Pages/201706-default.aspx
If you would like to speak, partner or sponsor the 2018 edition of the summit, please contact: ai@itu.int
WTF - Why the Future Is Up to Us - pptx versionTim O'Reilly
This is the talk I gave January 12, 2017 at the G20/OECD Conference on the Digital Future in Berlin. I talk about fitness landscapes as applied to technology and business, the role of unchecked financialization in the state of our politics and economy, and why technology really wants to create jobs, not destroy them. (There is a separate PDF version, but some readers said the notes were too fuzzy to read.)
Technology and Humanity, AI and The Future: Bratislava Keynote by Futurist Ge...Gerd Leonhard
Are humans computable? Can AI actually 'think'? What will happen to humans when machines do 'all the work'? This presentation was delivered along with the launch of free Slovak edition of my book Technology vs Humanity see www.techvshuman.com
This is the original keynote file for my talk at the Smart Disclosure Summit in Washington DC on March 30, 2012. I will upload a PDF with notes separately.
My talk for TechStars at Techweek Kansas City in October 2018. While this is a talk based on my book WTF?, it is fairly different from many of the others that I've posted here, in that it focuses specifically on parts of the book that contain advice for entrepreneurs, rather than on the broader questions of technology and the economy. As always, look at the speaker notes for
The Slow Growth of AI: The State of AI and Its ApplicationsJeffrey Funk
The failure of IBM Watson, disappointments of self-driving vehicles, slow diffusion of medical imaging, small markets for AI software, and scorching criticisms of Google’s research papers provide evidence for hype and disappointment in AI, which is consistent with negative social impact of Big Data and AI algorithms. There are some successes, but they are much smaller than the predictions, with virtual applications (advertising, news, retail sales, finance and e-commerce) having the largest success, building from previous Big Data usage in the past. Looking forward, AI will augment not replace workers just as past technologies did on farms, factories, and offices. Robotic process automation and natural language processing are likely to play important roles in this augmentation with RPA automating repetitive work, natural language processing summarizing information, and RPA also putting the information in the right bins for engineers, accountants, researchers, journalists, and lawyers. Big challenges include reductions in training time depending on faster computers, exponentially rising demands on computers for high accuracies in image recognition, a slowdown in supercomputer improvements, datasets riddled with errors, and reproducibility problems.
My keynote at OSCON 2018 in Portland. What I love about open source software, and what that teaches us about how we can have a better future by the better design of online marketplaces and the algorithms that manage them - and our entire economy. The narrative is in the speaker notes.
Do More. Do things that were previously impossible!Tim O'Reilly
My keynote at SxSW Interactive on March 9, 2018. I tackle the job of the entrepreneur to redraw the map, and not to accept the idea that technology will put people out of work rather than creating new kinds of prosperity. I try to provide a call to action to throw off the shackles of the old world and to build a new one. So many companies play defense. Cut costs, watch the competition, follow best practices. Great entrepreneurs like Jeff Bezos and Elon Musk play offense. They see the world with fresh eyes, taking off the blinders that keep companies using technology to make slight improvements to existing products and practices, rather than imagining the world as it could be, given the new capabilities that technology has given us.
A brochure-style presentation to introduce the big picture vision for R7 Partners, a venture capital firm that finds, funds, and builds early-stage startups with ambitious innovation.
People are slowly beginning to realize that the times, they are a-changing. When it comes to the future of work and automation, it’s not a question of how, but when. We usually only react when it’s already too late. But this time, the writings on the wall are too overwhelming to just ignore them.
Now don’t get me wrong. I’m not saying that you should stock up on guns, build a shelter and prepare for Skynet. But it’s probably a good idea to at least start considering the idea that things might change faster than you think. And in the end, we would hate to say we told you so. So start preparing right now with these 6 crucial tips to survive the second machine age.
Introduction to Artificial Intelligence. Not complex and should be relative easy to follow. Be aware that due to its high levelness (and no voice over) some care should be taken by the simplified examples used.
Hereby my Broadband MEA 2013 keynote presentation (delivered 20 March 2013).It's an Extended Re-Mix, rather than the limited slides required for the 15 minutes talk. Hopefully this gives a more rounded view on Growth Dynamics related to mobile data demand and supply in mobile networks as well as the Economics involved (which is often forgotten when the usual suspects gets exited about x1,000 challenges).
Take also a peek at my Blog on the topic:
http://techneconomyblog.com/2012/11/02/the-economics-of-the-thousand-times-challenge/
Enjoy!
Btw. apologies for the fairly hopeless format conversion in this presentation ( it looks better in real ppt format ;-).
Keynote delivered at European CTO Telecoms Forum looking at Telco World beyond the initial roll-out and path to 5G. Will Marketing lapfrog out of the Access-based thinking and really sell what Technology enable with converged broadband networks, cloud and visualization supporting IoT, Industry 4.0, Connected Car@s (or X in general) and so forth.
If you are interested in the slide or discussions related to the content, don't be a stranger, get in touch!
This presentation was given at our Big Data Days Event. The presentation provides a comprehensive (albeit high level) view of the important parts of Big Data in Network Technology.
I enjoyed giving my "Small Cell Economics" presentation at the Small Cell MENA Conference in Dubai (October 7th, 2013). You will (or might) find this one particular provoking (even for me) but please bear in mind that the last thing I want is for you to think that Small Cells doesn't work or can be a great tool ... rather I like you to work on how to solve some of the problematic scaling issues in large-scale small cell networks.
I have for some time worked on training notes (eventually a book) that particular targets the un-initiated or persons / companies interested in understanding how Telco works and thinks. Particular focusing on Economics and Business Models.
These notes where used in a recent training I gave in Myanmar and as such many of the examples are particular to Myanmar.
For the initiated this is likely going to be too easy and sometimes even feel like cheating (just a bit).
Stay tuned as I will be updating these particular slides frequently and as I tailor make them for particular requests or interests.
In case you are interested in the actual training get in touch.
It was a great pleasure having this presentation presented at the Tehran 5G Conference in Iran this October, 2016. It kick started my thinking & analysis of the economics of 5G, While 5G have many great technology promises, a lot have to happen with our business models and economics to also cash in on those promises. Enjoy this presentation and stay tuned for many more on this important topic.
A special thanks to Minoo Abedi who presented this work at the conference in Tehran.
Delivered at the Network & Services Management Conference in Bonn, Germany on December 6th 2016. It comprises Deutsche Telekom's strategy and vision as it relates to real time network & services management and aggressive automation through AI and applied machine learning. It is fairly high-level but does include reference for further study and read-up, particular towards IETF and RTC publications.
Many of the topics addressed in this presentation can also be found in explained in more detail at my Blog http://techneconomyblog.com/
Gave this presentation at the Telecoms World Middle East 2014, 29th September. Had a lot of fun putting this work together and got me thinking a lot about the future of networking and the challenges we (Telcos) will be facing in preparing our networks for the next thing. This is a bout the Next Thing although its in reality "hitting" us now.
Have fun and Enjoy!
In case you have any questions or comments don't hesitate to get back to me.
My first Qtel Group Keynote address at the Telecoms World Middle East 2012 conference in Dubai. Its been great fun to do this parting with Europe analysis and the Outlook for the next 8 years. As I will not be totally retired by 2020 please remember that you will be able to hold me accountable for some of my predictions ;-) The Good Ones, The Bad Ones and for sure The Ugly Ones ... Enjoy and shoot back!
Delivered this presentation at the Informa's Pricing Mobile Broadband conference 26 & 27th August 2012 in London. While some of the slides are similar to the ones in my Mind Share document you will find new slides and re-worked material giving another twist to Right Pricing Mobile Broadband. Enjoy and should you have any questions/comments just get in touch! Don't be a stranger!
My Wi-Fi & Small Cell MENA presentation delivered 27th of October 2014 in Dubai.
If you want a copy don't hesitate to contact me and don't miss out on my blog either www.techneconomyblog.com ... which have a lot more prose around the nice pics! ;-)
De-risking the broadband business model was presented at Informa's Industry Outlook 2012. The starting point summarizes the challenges the incumbent Telco is facing with the emergence of the smartphone, mobile applications and social media. Then it takes you to the Digital Agenda 2020 for Europe and inspects what needs to happen to make it come through.
This presentation summarizes the many technology ideas and business models to achieve Ultra-efficient network operation while safeguarding customer quality and expectations. This work was presented at Informa's Broadband MEA conference in Dubai, 26th of Match 2012.
I facilitated a discussion on "Right pricing LTE … ." @ Informa's Mind Share sessions at LTE World Summit, 22th May 2012, Barcelona, Spain. I should emphasize that this presentation really is a Technologist's view on mobile data pricing and not that of a Pricing Professional (whatever that might mean) responsible for pricing today's (maybe even tomorrows) mobile data products.
For more in depth explanations check out my Blog: http://techneconomyblog.com/2014/05/21/the-abc-of-network-sharingthe-fundamentals-part-i/
Given the renewed discussion of Network Sharing pros and cons I thought it made sense to wrap up several of my older presentations and update some of the information with latest knowledge.
The myth of network sharing is clear -> huge savings and benefits often blinding the decision makers for the other side of the coin.
I hope this presentation provided a fair picture of both sides of the Network Sharing Coin!
The presentation provides more than 10 years of my work and experience since the early days of 3G Network Sharing discussions in 2000 - 2001.
Had the pleasure to deliver the key note presentation at Informa's 3G, HSPA & LTE Optimization conference in Prague. Great event with many very important presentations.
Rapid fire talk going through a number of topics that we'd pre-selected...one slide on the question, 1-2 slides on an answer....
Much goodness, for reference, here's the subjects:
Planes: Lets go from myth to reality in a couple of slides, including updates since 2015
Transportation in general, cars, trucks, trains and ships….
Why can we still do this?
What’s not changed?
The technology, reactive, static vs. predictive
The humans, why do we ignore them?
Why this needs to change…what does the future hold?
Why DO we stare into the abyss, why do we continue to deny it
Hacking humans, molecular
Hacking humans, consciousness
Why DO we need to fix and HOW do we fix it?
Fix the human
Fix the basics
Intelligent systems working collaboratively with us
Augmented intelligence, the science of giving us the edge.
Collaborate
Why Can’t the Business Get Behind Streaming?! With Becky Gandillon | Current ...HostedbyConfluent
Why Can’t the Business Get Behind Streaming?! With Becky Gandillon | Current 2022
Technologists understand that Kafka is reliable and durable; fast and fault-tolerant. It handles use cases both large and small. So why isn't it being used everywhere by everyone? Because the technology itself isn't the answer. As an engineer-turned-data-guru, it took me way too long to figure that out. No technology will make a difference in any business without the proper buy-in from stakeholders (including non-technical stakeholders), enablement support, and carefully crafted adoption frameworks. During this session, you'll learn about how to communicate the value of technology decisions to non-technical co-workers or stakeholders. And we'll talk about some very specific buy-in, enablement, and adoption activities and suggestions for supporting streaming implementations.
Given at the BugCrowd conference in January 2019, this was the first time for doing this deck.:
For 25 years or more we have fought the battle of passwords and patches while all around us, the world has developed, data has exponentially increased, attack surfaces are everywhere and technology had quite simply forced the human race to consider the evolution cycle in single lifespans as opposed to millennia. During the last 25 years we have done little to protect the charges we are responsible for, we have failed to secure systems, allowed financial attacks, infrastructure attacks, and now attacks directly against humans. At what point will we be able to stem the bleeding and actually take charge of our realm? Have we left it too late, or are we still able to claw back out of the abyss and face our adversary in a more asymmetrical defensive manner? Can we actually provide safety and security to our charges or will we continue to fail? And, critically, how do we communicate this, and educate a population that is content to watch from the sidelines, while they are being digitally eviscerated.
Ep 121: How Artificial Intelligence Creates Discrimination in HR & RecruitingWorkology
Workology Podcast interview with Dr. Jutta Treviranus discussing how artificial intelligence can create opportunities for discrimination. The interview discusses how inclusive design can help eliminate discrimination in hiring, recruiting and employment decisions.
Presentation from October 4, 2015: Arts Midwest Orchestras 20/20: Context, Connection, Collaboration. An attempt to lay out the context of audience, competition, technology and strategy - then a set of practical steps to get things done.
apidays Paris 2022 - Let’s not make the diversity mistake in NoCode, Manon Me...apidays
apidays Paris 2022 - APIs the next 10 years: Software, Society, Sovereignty, Sustainability
December 14, 15 & 16, 2022
Let’s not make the diversity mistake in NoCode
Manon Mercier, Product Builder Data & Impact at HEC Innovation Center Paris
------
Check out our conferences at https://www.apidays.global/
Do you want to sponsor or talk at one of our conferences?
https://apidays.typeform.com/to/ILJeAaV8
Learn more on APIscene, the global media made by the community for the community:
https://www.apiscene.io
Explore the API ecosystem with the API Landscape:
https://apilandscape.apiscene.io/
Deep dive into the API industry with our reports:
https://www.apidays.global/industry-reports/
Subscribe to our global newsletter:
https://apidays.typeform.com/to/i1MPEW
I Was A Guest Lecturer at Yeditepe University MBA Program in TurkeyFahri Karakas
Dr. Gulzhanat Tayauova has invited me to her MBA class at Yeditepe University.
I presented on "Creativity, Imagination, and Innovation". It was an intense lecture, a bit long, but I ended up covering a lot of topics from blockchain to Metaverse.
You can find the slides of this presentation.
Enjoy!
The world of work and employment has never changed so fast or been so complex, and it is showing no sign of slowing down. The raw technologies of communication and IT now see the simultaneous arrival of Mobile Working, BYOD, BMOB, Social Nets; Open Nets, Software, Apps and The Cloud plus Big Data. This is no accident - everything is now connected - and one technology enables/breeds another to satisfy seen and unseen demands!
Not only have we all become typists, computer operators, reprographic specialists, designers, photo takers and movie makers, editors and exceptional producers, our skill sets and abilities are about to be amplified further by artificial intelligence and robotics. Needless to say HR Departments are facing the challenge of existing workforces thinking and operating behind the wave, whilst the new entries are generally ahead of the game and prone to breaking all the rules!
Using big data and implementing hadoop is a trend that people jump all to quickly to. Instead understanding the run time complexity of one's algorithms, reducing said complexity and managing the process from start to finish in a lean and agile way can yield massive cost savings - or save your organization.
Assignment x Through reviewing the Olympic Messaging Syste.docxedmondpburgess27164
Assignment x
Through reviewing the Olympic Messaging System's system design methodology, the authors will
provide advice on when particular methodologies would be used and how long they would take. The
methodologies they focus on are the following: early focus on users and tasks, empirical measurement,
and iterative design. There is a fourth principle introduced later on, which they call the “Integrated
Usability Design”.
The authors utilized a huge amount of ideas in their pursuit of the design principles. They printed
scenarios of the interfaces, performed early iterative tests of user guides, preformed early simulations
and early demonstrations, made sure to have a representative for the Olympians, took tours of the
Olympic Village sites and had interviews with Olympians themselves, made oversea tests of the
Family/Friends interface, used a hallway and storefront technique, performed a prototype tests. They
also used unusual techniques such as a “Try to destroy it” test and a win a bear contest. Of course, all
of these ideas had a purpose.
Following the principles may have required more work in the beginning, but they greatly reduced the
work later on. The use of printed scenarios was helpful in showing the first definition of system
functions, the user interface, and hard to imagine deep system organizations. The scenarios also
identified conflicts that a list of functions could not do, allowed people to criticize where their
comments had most impact and changes could be made before code was written. Basically, it helped
them make decisions that were still being debated.
The early user guides were helpful in identifying issues and problems in system organization. When the
developers were performing early simulations, they utilized a Voice Toolkit that allowed them to debug
the user interface, conduct informal user experiments for the interfaces for both major user groups, and
provide demonstrations to raise comments from people. These early simulations also helped to develop
help messages and revealed how much a user should know to use the system.
Hallway methodology was an easy way to get participants for informal experiments, it was enjoyable,
accelerated the rate of progress, and other group members got a better feel for where their work fit in.
The prototype test performed in Yorktown was useful in debugging the system and user interfaces. It
also helped them fine tune of what was implemented in the OMS so far. The contest was useful in
displaying the usability for everyone and caught bugs as well. On the “try to destroy it” test, they were
able to figure how reliable the system was. The final prototype test they performed was useful in
learning how to interface OMS with the Los Angeles telephone network. All in all, the OMS was very
exportable.
The principles are worth following, but there are some consequences. It was sometimes
psychologically difficult .
Slides (with notes) from Keynote address delivered July 20, 2018 to the 2018-19 National Digital Stewardship Art Cohort at the Philadelphia Museum of Art. Framing digital transformation and positive disruption through the lens of digital stewardship, systems thinking and The Innovator's Dilemma.
For millennia people have been travelling to stadia to watch and participate in spectacles of pure brutality and sport sponsored by kings, emperors, states, individuals. Today sport and other entertainment events have become a major global business sector with executive facilities, commercial sponsorship, broadcast and full media coverage. But, in many respects, the crowds and their experience has changed little. However, technology is impacting this situation and looks set to accelerate the rate of change.
In a similar manner to the airline business; the few pay around 80% of the costs, whilst the many fulfil the 20% or so. All the attention is lavished on the few and the many are neglected and remain a latent opportunity. The technologies of communication, networking, apps, Big and Meta Data can change all this by creating a ‘market of one’. Satisfying the needs of every individual and every group should be pursued as it leads to a world of new services and ‘pre-selling’.
The technological opportunities are endless with augmented reality able to furnish a view from every angle to mobile devices and wearables supported by real time details, data and statistics. Clouds and ‘networks without infrastructure’ can overcome the limitations of 3, 4, 5G and wifi systems that will never satisfy the need for growing customer connectivity and bandwidth. They can also help solve entry congestion and simultaneously support security and vending operations. Branded mobile devices with pre-loaded apps are also an obvious step towards the creation of ‘The Club’ identity and ‘belonging’ that goes way beyond the latest strip, scarves and hats etc with far more kudos than a gold card!
“On a grand scale this all involves Big Data, but for a ‘market of one’ it is the Meta Data that counts - that is where the opportunity and the $$$ reside”
All of this comes at a price of management and operational change! Embracing the new takes a positive mind and considerable energy in the face of day to day operations, but the workforce and the customer base is also changing fast with the old and old of mind being replaced by the young and young of mind. The tech savvy are on the move and making up an increasing proportion of society - and the trick is to leverage their knowledge and abilities at every level possible.
“Change is inevitable and accelerating - and you have to decide to be a driver or a victim”
These are the slides from a teaching session I ran to get our doctoral students thinking a bit more critically about the nature of technology in Higher Education. (Note, it's deliberately controversial in places)
I had the pleasure to provide this keynote at Deutsche Telekom AG Spectrum Summit 2022, talking about the enterprise value of being the best mobile network in a market or the word, as well as what it takes to make it to the top of the top mobile networks in the world.
I great privilege to end Ampleon Technical Conference 2021 (Nijmegen, Netherlands) with a keynote contribution on what makes Telco tick and more on what to expect from real 5G. It was as well more than 20 years since I had seen many of my old Philips colleagues (now Ampleon) which made this event very special for me as well. Of course, also super cool to see the innovation level and relevance to our deployed RAN infrastructure.
Keynote presentation at Day 2 Telecoms Europe 5G Conference. Describing, my view of the 5G standalone deployment dynamics, best timing and what benefits to customers and ourselves (MNOs) to expect. I genuinely believe that to have a successful 5G Core SA deployment we need to learn from New IT cloud native transformation journeys.
Contribution to Informa's Telco AI World Summit 2020, talking about driving data-powered innovation and automation at pace and scale. Looking Telco automation and AI frameworks working towards Zero Touch (autonomous network operations) with Zero Defects and Zero Complaints. If you are interested in a copy or want to discuss furher don't be shy reach out.
I gave this presentation at Deutsche Telekom AG's Digital Ethics Conference in Bonn on March 13 2019. It provides the background for how biases may occur in machine learning systems and what may go wrong if not corrected (or minimized).
This collection of slides are meant as a starting point and tutorial for the ones who want to understand AI Ethics and in particular the challenges around bias and fairness. Furthermore, I have also included studies on how we as humans perceive AI influence in our private as well as working lives.
My keynote from this weeks (June 12, 2018) 5G World conference in London. I focus here on AI for Telcos and in particular what can be done in the network and IT parts of the network. Making the point that there remains a lot of low hanging fruits which are simpler and easier to solve than present day image and NLP challenges. It is amazing how much you can do with fairly simple ML architectures with out going to state-of-art DL frameworks.
Keynote presentation at our Magyar Telekom "AI for Everyone" conference in Budapest at 21st of March 2017.
You will find a the blog companion here: https://aistrategyblog.com/ which provides insights into how we humans perceive AI. Enjoy the read if you get there.
If you would like to have the presentation or have any questions please get in touch, don't be shy!
My presentation on the road to 5G at the 24th EMEA CTO Telecoms Forum. January 29th 2018, Berlin, Germany. 5G and AI has nothing to do with magic. They are real technologies. Why wait for 5G? Get started on LTE and on the path of conversion. Why AI, or more accurately machine learning, and intelligent automation is going to be crucial for managing an increasingly complex networked ultra-converged technology landscape.
If you want a copy please dont be a strange get in touch!
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
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.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
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.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
A Stranger in a Strange Land
1. {
A Stranger in a
Strange land.
Dr. Kim Kyllesbech Larsen, Group Technology,
Ooredoo Group, Doha, Qatar.
Catania University, Catania, Italy, June 2013.
In connection with the EU Water Project awarded to CNR Catania, I gave this
inspirational talk to Physics Students at Catania University, and old research colleagues, on
how to transition from Academia to the often very non-scientific world of Corporation. How
to keep your sanity, curiosity (i.e., “But Why?”) and continue to have fun throughout your
career.
2. The cross-road!
A bit scary and not very clear decision point in the early life where you need to make
up your mind what to do next, what's the right choice, what do you really want to
do with the rest of your life: goals, dreams & ambitions all comes down to this point.
Frequently reality don’t really match most of our dreams & ambitions ;-)
Ph.D. Ph.D.
Teacher
Teacher
Related Industry
Related Industry
Unrelated Industry Unrelated Industry
Consulting
Consulting
Money
Time for Family
Fame
Own BossEasy life
See the World
Stability
Manager
Academic Career
Corporate Career
3. Designing your future right?
Decision
Uncertainty
Studies Ph.D
Illustration of 1 move decision process (the normal process).
Ph.D
Industry
?
‚End‛
Goal
+X yrs
Work
Goal
PhDM.Sc.
Illustration end-game driven decision process (rarely considered).
Start
Rarely included in
decision process
Starting point
What is required to reach ‚End‛ Goal
4. The Uniqueness
1 in 1000 has a physics degree.
of which 1 in 10 will have a PhD.
5% earns in top 1%.
5. Are we normal?
What is normal?
Amy MeinzerLisa Randall Brian Greene
Albert Einstein
Dr. Sheldon
Hawkings
6. What do you think about you?
The study by Wilson et al compares a normal population (i.e., non-physicist) with a
physicist sample and test for various key human characteristic.
P
P
P
P P
P
P
P
P
P
Source: http://www.ywedo.com/publications/PAID_1993_187-189.pdf by Wilson & Jackson.
P Blissful normality
7. At least approximately … yes!
Actually a bit surprised about this result but I guess it doesn’t really measure our
analytical abilities. Well well I am almost normal (know some that might disagree;-).
Source: http://www.ywedo.com/publications/PAID_1993_187-189.pdf by Wilson & Jackson.
8. & Unsociable
How we are viewed by others:
But not a lot more than normal ;-)
Introverted, Careful, Controlled,
Inhibited, Obsessive
9. Curiosity may have killed the cat*
but the physicist lives on it!
(*) or at least Schrodinger’s and then maybe not.
10. I have no special talents,
I am only passionately curious.
(Albert Einstein)
11. Innumeracy
is more widespread
& a lot more
socially accepted than illiteracy.
Some people are even proud to be
mathematically incompetent!
(J.A.Paulos, ‚Innumeracy: Mathematical Illiteracy and its Consequences”)
Something we don't suffer from!
12. The transition
Congratulation on what could be the greatest journey.
Certainly the longest! ;-)
Making the decision to a radical change will without doubt feel like passing an
energy (or decision) barrier. Few of us realizes that the decision we make at this
point will be for a very long time (e.g., rest of our lives).
3 – 5 years
The Next 40+ years!
Culture
Shock
Frustration
Academia
‚Normality‛
13. Culture shock … it will pass!
I was the only physicist (& only PhD in the beginning) among my peers in Ben NL.
My need to understand my surroundings & curiosity was not shared by many of
my peers. This was shocking and in the beginning (actually still is;-) frustrating.
14. Frustration …
you will get over it! (almost)
I experienced that it took much (much) longer to explain things than what I was used
too, I could see (true) trends that nobody else saw, people stop listening when I get too
factual and too numerical. I realized I needed to change strategy & keep my sanity.
15. Fun … Enjoyment … Delight
What makes me wake up at 5 AM …. Almost everyday of my working life I have
looked forward to get into work and have meaningful fun with my colleagues,
asking new questions, getting answers and thinking of new ones.
BUT
18. Embracing Uncertainty & Risk
Uncertainty & risks are very fundamental properties of modern telecommunications.
One of my first presentations to one of my firsts CEOs failed as he really did not
want to hear about value at risk or uncertainty but “just” have the best business case
(which was just a fairy tail were the good fairy granted all the wishes to come true).
A State of Uncertainty
Uncertainty
19. Physicists are conditioned to
make sense of complexity
However, some of us needs to learn that dealing with complexity does not mean
that we also need complex presentations, also what might appear simple to some is
not per se simple & clear to others … Simple & succinct is more powerful.
20. Simplify complexity
After having failed (or succeeded pending the view) in impressing people on my
capabilities handling complexity, I started simplifying complexity and “hiding” the
true complexity behind my analysis and decision making (making the ugly world
somewhat prettier) … btw. most people hate smart a….. so try not to be one :-P
21. We live on data …
I just love data, any kind of data, structured, unstructured, … I love cracking the
basic message in complex data and increase the understanding of the underlying
trends and behaviours that the data represents … Cool.
22. To cut it short …Modelling
what we are insanely good at!
Since my early University days I have created models; simple, advanced & sometimes
just too complex (right Maurice?;-)…It has helped me (& the companies that I worked
for) tremendously to understand the world & formulate new strategies & insights.
PROFESSIONAL MODELLING
23. The hottest job at the moment
apart from taking your Master or Ph.D in Physics! ;-)
Had I been 20-30 years old today (almost but then not really) I think I would have
gone down this path. Now it’s just a serious cool hobby.
24. Electronic transport in metallic iron
di-silicide (3D Quantum effects).
DK
1965
M.Sc.
1990
Ph.D.
1993
Post Doc.
IMEC, BE
Post Doc. (‘94-’95)
CNR IMETEM, IT
Research Scientist
Philips Research (NL)
Semiconductor Processes
Research Scientist
Philips Research (NL)
Integrated IC design
Manager
Handset & SIM
Ben NL, Mobile Operator Startup
Senior Manager
Network Engineering & Planning
Ben NL, Mobile Operator Startup
Vice President
Network Economics
T-Mobile InternationalSenior Vice President
Technology Economics
Deutsche TelekomHead of Technology Office (2013)
Group Technology
Ooredoo Group, Qatar.
(3 Month, 1999)
(3+Y)
(1Y3M)
(1Y8M)
(1Y2M)(2Y)
(3+Y)
(5+Y)
(10M)
Maroc Telecom acquisition bid (withdrawn)
Myanmar Telecom license bid: substantial
investment over next 5 years.
$39Bn (failed) spin-off of T-Mobile US , TMUS got $4Bn in breakup
fee value (world record), All DT M&A activities since 2003.
Founded Data Mining Analytics Team (4 publications).
Founded Network Economics.
Tele.ring AT Acquisition.
Orange NL Acquisition & Integration.
Mobile Network design, plan & build from 0
to 1.5M customers. UMTS License 2000
GSM & UMTS Device Requirement
Analysis. MMICs Mixer design, etc..
Silicon on Anything process R&D.
RT Migration
of Si-self-
interstitials in
Silicon.
Anomalous
diffusion in
Silicon.
Metastable
materials.
25. The future of the telecom business
model… if there is a one?
The last 5 – 6 years it has become increasingly clear that the existing telecom
business model might not be sustainable. I have spend much time on this problem.
26. Techno-
Economical
modelling.
The Best
practice techno-
financial
demand model.
Symbian
Android
BlackBerry OS
AppleiOS
Windows
Phone
Others
6% 10% 15% 21% 30% 39% 49% 60% 70% 80% 84% 86% 88% 88% 89% 89% 89%
0%
20%
40%
60%
80%
100%
“Many telco operators remain locked into a
manual budget planning process that
results in 100s of man-hours spend
(disrupting major parts of the
organization) in budgeting rather than
focusing on more important value
generating tasks. Most of this work can be
replaced by self-consistent highly efficient
& almost mathematical models”
“Since 1999 I have been developing self-
consistent capital demand models that
later was turned into Deutsche Telekom
best practice capital modelling for their
strategic planning & budgeting cycle.”
27. Technology
diffusion &
implications on
Mobile
Operator
operational
performance.
Technology Adaptation
of Mobile Subscribers
“It is amazing how much of my old
diffusion research work can be used in my
everyday work. Early on I designed a
technology diffusion model to study the
evolution of the various mobile
technologies we support applying it to
finance, spectrum strategy & network
planning, etc...”
28. Experience
propagation in a
social networks
... Device, Churn
Customer
experience &
other diffusion
problems.
Illustration of Customer (Social) Network –
customer experience diffusion problems in
social networks:
Very unhappy
Very unhappy
“Again diffusion and this time even in a
structured lattice (or network). I have been
very interested in how customer opinions
and experiences propagate through the
customers social network and beyond. Still
largely un-explored territory.”
29. Village growth
dynamics …
relationship
between area
and population.
Myanmar – a new mobile license
How many sites & how much money is required?
Question:
“How much area do
you need to cover to
cover 75% of
population in
Myanmar?”
NOTE: Myanmar ca. same amount of population as Italy and more than
double the area. >80% lives in rural areas , Italy ca. 30%.
Answer:
“More than 30% and
less than 40%.”
“It really annoys me that so little is known
on area versus population distribution and in
particular village distribution and growth
dynamics. Particular in emerging markets
such as Myanmar (Burma). I got some
satellite imagery data & processed the
information with an image analyser I had
used previously in my Ph.D. and Post.Doc.
Days for area and inter-distance
distributions of particles on SEM and TEM
pictures. Found this wonderful book
describing village structure & statistics by
Dr.SC Aggarwal and Dr. RK Rana.”
Fractal Villages!
30. Big Data
approach to
mobile
network
optimization
performs a lot
better than
human
equivalents.
Ca. 6.500
Carriers
in the mobile
network.
* Note: a mobile 3G carrier is 1 time 2×5Mhz bandwidth
allocation (2× as in FDD UL & DL each has 5MHz).
*
31. Pointing out
faulty
‚wisdom‛
Many consulting companies (some years ago) were “selling” acquisitions as a way
to proportionally boost Ebitda using linear extrapolations of “apple & oranges”
data. A simple analysis showed “conventional consulting wisdom” to be faulty.
Plain Wrong
No Straight Line
32. Optimum
operating
conditions for
a telecom
business from
birth to the
coming of
age?
The holistic business model
“Something I have been obsessed about for many
years! How does the optimal business model
(through all life-cycles) look like and is it
achievable through target operational measures.
Obviously all business aspects needs to be
considered.”
33. A typical day in Europe
Most of your mobile data & voice consumptions are far from being mobile but is
typically consumed at 2-3 locations. You mobile behaviour also uniquely identifies
you with less data points than is needed for a fingerprint identification (i.e.,12).
34. My Social Networks…
It is ‚hard work‛ to maintain & grow your social networks.
T-Mobile
NL
Deutsche
Telekom
WEU
+ US
Telco
MEA&
APAC
Telco
University, Post-doc
Philips Research
After 6 years
1,100 Professional connections
Total Network Size 12+ M
- The Visible Network
- Not shown:
- Facebook (too many)
- Twitter (374 followers)
- Slideshare (80k+ views)
- TechNEconomyBlog
- Friends (never enough)
- Colleagues not on
LinkedIn (shrinking).
Twitter: @KimKLarsen, Slideshare: http://www.slideshare.net/KimKyllesbechLarsen, Blog: http://techneconomyblog.com/
LinkedIn: http://qa.linkedin.com/in/kimklarsen
35. Are social networks valuable?
Having spend a lot of time building up & maintaining my social networks, I am
frequently reflecting whether it has been worth the time. My conclusion is a careful
yes for some social network channels and certain intents (e.g., recruitment).
Job
seekers
E
Sell
Work
Colleagues
(N-1) + (N)
Past Work
Colleagues
(N-2+)
Weaker
interactions
FriendsStars
- CxO.
- Industry leaders.
- Thought leaders.
- Endorsers.
- Recruiters.
- Star- & Super-
connectors.
Industry
Followers
Others
“LinkedIn is
becoming a
professional’s
Yellow Pages
premium service.”
Social networks are a
wonderful dynamic ‚beasts‛
that develops with time.
36. My favourite social networks!
“Twitter is a fantastic medium for
sharing and exchanging thoughts, insults
lies, innuendos & great insights. Don’t
trust everything* and then enjoy! ”
“SlideShare is a great learning platform &
remains largely un-explored data mining
resource in presentation insights. ”
* A very good read on social media manipulation see: Ryan Holiday ‚Trust me, I am lying (confessions of a media manipulator)‛
37. Recipe for a great transition
from Academia to Corporate!