Intro to Exponentials, Moderator
Robotics • GGC-Learning • Future of Learning • Exponential Thinking • Exponentials • Exponential Organizations • Entrepreneurship • Deep Learning • Facilitator • Moderator • Artificial Intelligence
Jim Stolze is the founder of Aigency, a platform that enables Artificial Intelligence experiments for corporates, using algorithms and software created by PHD’s, hackers and startups.
After studying at VU University Amsterdam, Stolze earned his MBA from the Lemniscaat Business School. The master’s thesis in which he researched the relationship between Internet Usage and Well-being caught international attention and was featured on CNN.
After a visit to the TED conference in 2008 Jim Stolze became an active leader in the TEDx community. Under his leadership dozens of events have taken place under the brand of TEDxAmsterdam with an international cast of speakers and innovative ad campaigns. He also played an active part in TEDxBinnenhof, TEDxAruba, TEDxMaastricht, TEDxMuscat and many TEDxYouth events. In 2012 he moved for five months to Doha (Qatar) to work for TED and the Doha Film Institute and help set up an organization that fosters TED’s mission of ‘ideas worth spreading’.
In 2016 -together with his team- he organized the biggest match making event for startups, investors, corporates and developers. Startup Fest Europe took place between 24 – 28 May 2016 and featured speakers like Tim Cook (Apple), Eric Schmidt (Alphabet), Travis Kalanick (Uber) and Nathan Blecharczyk (AirBnB).
Since 2017 he also teaches Entrepreneurship in Data Science at the University of Amsterdam (Uva) and JADS in Tilburg.
A very popular master class on what Artificial Intelligence really is (and what it’s not), this is basically a tour across the AI landscape. Clear explanations of several machine learning algorithms, applications of natural language processing, voice, deep learning and computer vision. The principles behind Responsible Data Science and a framework for Ethics will be addressed.
In 2011 Jim Stolze had his DNA sequenced by an American company. Since then he has discovered many new things about his family, his personal health and that around the world many people are already using software to “re-write the code of life”. This is a very intimate story, that will impress the participants as much as it will spark a lively debate!
Consumer DNA testing (advanced)
Millions of people across the globe already had their DNA digitized by companies like 23andMe or MyHeritage.com. It is expected that two years from now this will be so cheap that everyone will do it. This is going to have huge implications on how we’ll live, what we eat and how we pay for health-insurance. In a humorous, thought provoking talk Jim Stolze will show from personal experience what this future might look like.
Part 1: WOW
I will start with a cool story on digital genomics. How this exponential technology is shaking things up in healthcare, energy and the material science. This disruption comes with great threats and opportunities. This will open the minds of the audience.
Part 2: HOW
Every organization is dealing with two or more of those ‘disruptions’. I will highlight 12 domains where we see exponential growth. These are domains where the biggest impact (positive or negative) can be expected. Exponential organizations are using such technologies together with new methodologies / mindsets to create not 10% growth but 10X.
Part 3: NOW
In the third part of my talk I will zoom into the one technology that will have the most impact: artificial intelligence. I will give an update on the current state of this technology and how this will change the way we live, work and organize.
Technology is great, but real change comes from humans. Just like digital transformation is more about transformation than about digital. How do you build a culture around agility? How to you organize for continuous change? What kind of new skills are required? Based on the book Exponential Organizations, this talk gives you new inspiration and concrete do’s and don’ts to scale your enterprise!
How do you lead in exponential times? Technology is one thing, but how can you scale the organization? The winners of tomorrow are the companies that can learn the quickest. How can you empower your teams to experiment. How can you incentivize learning, failing and sharing? Learn the attributes of the most successful exponential organizations.
It is said to be the most disruptive technology of our life-time. But what is it? And what is the current state of the art? After this talk participants understand the difference between rule based systems and machine learning. They can explain how deep learning works and why this is important for Computer Vision and Natural Language Processing. Also a framework for ethical AI is introduced and explained.
What does exponential mean? And more importantly, how does it feel and what could the impact be? After this talk the participants understand the concept of exponential growth; they can identify exponentially growing technologies; and can apply the concept of the 6D’s to these developments. The concepts of Moonshot (10X) and the Grand Challenges will be addressed.
Exponential UPDATE (advanced)
This is an upgrade of the existing “Intro to Exponentials”. Most people already understand the difference between linear and exponential thinking. With this talk they get the latest updates on exponential technologies and new insights on how this relates to business models and societal challenges. Is Quantum Computing on your radar? Why is 5G about more than just connectivity? And what are GANS?
Hand-on Machine Learning (advanced)
Most companies are data-rich but information poor. How do change this? Jim Stolze explains the different flavors of machine learning using the Machine Learning Canvas. Participants can use their own datasets and challenges to fill in the canvas for their teams / organization. The result is an action based plan for a new machine learning application.
The robots are coming! They run our factories and help doctors make better decisions. But what is the current state of the art? And what are the possible downsides? After this talk, participants understand the difference between rule based systems and machine learning. They can explain how deep learning works and why this is important for Computer Vision and Natural Language Processing. Also a framework for ethical AI is introduced and explained.
In an interactive session Jim Stolze brings a series of moral dilemmas to the stage. He explains how others have dealt with them (for example the Responsible Data Science Initiative) or invites people from the audience to participate in a fun debate with a serious undertone. Two groups will discuss if or when machines will understand morality and how we can make sure that we won’t be governed by Skynet one day.