Is it hype? Definitely!Â
Maybe 2022 will be seen similarly to 2012, when Alexnet made the breakthrough for image recognition with AI. This was the beginning of the exponential development of machine learning in the last 10 years. And 2022 could be a similar moment, this time through developments in the field of Generative AI.
Do you know Bert?
Not from Sesame Street. Google’s BERT.
BERT was one of the first Large Language Models (LLMs) and a breakthrough for the application of Artificial Intelligence (AI).
The climate catastrophe is the greatest challenge facing humanity. But it is not enough to focus on solutions for this challenge alone.
We must achieve sustainable development.
AI will (have to) play a crucial role in this. Complex questions with lots of data are ideal conditions for the use of AI. There is more than enough of that here.
Innovation has always been critical to the development and growth of organizations of all kinds. Companies must innovate to remain competitive. Same for countries. This is even more true in the exponential age we are now entering. And (unfortunately) in times of crisis.
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I am very excited to officially announce that I will be joining the expert group „Innovation & Commercialization“ of the Global Partnership on Artificial Intelligence (GPAI) as a representative of Germany. GPAI is an international and multistakeholder initiative to guide the responsible development and use of AI, grounded in human rights, inclusion, diversity, innovation, and economic growth.
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The German government has published their AI strategy which will officially be announced on Dec 3rd. It is a good step in the right direction. But with investments of 3 billion Euro until 2025 (500 Million Euro per year) it is not ambitious enough to get Germany to the top spot in the AI race. Just look at China.
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This weeks edition is looking at Alibaba and how it has become a „smart business“ driven by a tech-enabled platform and machine learning. There are interesting views on the status of autonomous driving looking at Tesla and Waymo. And we have a white paper on Chinas open source strategy for AI.
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This week we start with the new Gartner Hype Cycle for Emerging Technologies. We also look at the question how AI can drive innovation and have some articles on AI and Ethics.
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The focus this week is the important question how to best use AI in business. We look AI in healthcare and have some good information sources on the national AI strategies. And there is a very inspiring vision of the not-to-distant future of portable AI.
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At the end of June I had the pleasure to attend the Board of Directors Weekend of Salzburg Global Seminar. A really outstanding event
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A lot can be read and heard about artificial intelligence (AI) and especially about machine learning (ML). It is one of the technologies that will decisively determine our future. At least that’s what many experts believe. I agree, even if there are still many question marks. Both in terms of technology. And even more when it comes to the use of these technologies.
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I spent most of my career in the software industry. Almost 20 years as a manager at SAP and in recent years at IBM.
Now it’s time for the next chapter.
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