The 2024 Nobel Prize in chemistry recognized Demis Hassabis, John Jumper and David Baker for using machine learning to tackle one of biology’s biggest challenges: predicting the 3D shape of proteins and designing them from scratch. Continue reading
Category Archives: Software@Risk™
#455 – WHAT MOTIVATES RISK MANAGERS? – ALEX SIDORENKO
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A while back I went on a quest. I was trying to find what motivates risk managers. After a dozen interviews I am no closer to the answer but I think I got a pretty good grasp about what motivates me, Alex Sidorenko, as a risk manager. See if any of these resonate with you. Continue reading
#452 – HOW AI IS HIJACKING RISK MANAGEMENT JOBS – ALEX SIDORENKO
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Imagine you are building a world class risk management team for a non-financial company, who would you hire? In my risk management team I need a researcher, a decision analyst, a quant and a culture ambassador.
The researcher
I need someone to spend time scouring through reports, news articles, and regulatory updates to identify emerging risks and trends. This demands a keen eye for detail and a deep understanding of the industry. Continue reading
#449 – AI SEARCH ANSWERS ARE FAST FOOD OF YOUR INFORMATION DIET – CHIRAG SHAH PH.D.
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If you have used Google lately and been lucky – or unlucky – enough to encounter an answer to your query rather than a bunch of links, you have been subjected to something called AI Overviews. This is a new core feature that Google has been rolling out, a move widely anticipated since the company’s experiments with its LaMDA large language model in 2021, and since OpenAI’s ChatGPT artificial intelligence chatbot rocketed to prominence in 2023. Continue reading
#439 – SOFTWARE RISK REDUCTION – CAPERS JONES
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Some years ago the chairman of the ITT Corporation was troubled by several major software failures of projects that were terminated without being completed. He was also troubled by the dissatisfaction expressed by customers in the quality of the software the corporation produced. He was further dissatisfied by the inability of software executives to explain why the problems occurred, and what might be done to eliminate them. Continue reading