Remove Experimentation Remove Insurance Remove Risk Remove Statistics
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Getting ready for artificial general intelligence with examples

IBM Big Data Hub

LLMs like ChatGPT are trained on massive amounts of text data, allowing them to recognize patterns and statistical relationships within language. Image (55%): Gen AI can simulate how a product might look in a customer’s home or reconstruct an accident scene to assess insurance claims and liability.

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Building Smarter Financial Services: The Role of Semantic Technologies, Knowledge Graphs and Generative AI

Ontotext

Nimit Mehta: I think that 2024 is going to be a buckle-down year, but, at the same time, we’ll see a rapid explosion of experimentation. Nimit Mehta : You are talking about the three big ones: cost, revenue, and risk. And, when you get to the top, it’s about risks and existential threats to the business. It’s open.

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Reflections on the Data Science Platform Market

Domino Data Lab

This group of solutions targets code-first data scientists who use statistical programming languages and spend their days in computational notebooks (e.g., For example, an insurance company could task a team of expert data scientists to work collaboratively in a code-first platform to develop their proprietary claims risk models.

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Interview with Dominic Sartorio, Senior Vice President for Products & Development, Protegrity

Corinium

Ahead of the Chief Data Analytics Officers & Influencers, Insurance event we caught up with Dominic Sartorio, Senior Vice President for Products & Development, Protegrity to discuss how the industry is evolving. Are you seeing any specific issues around the insurance industry at the moment that should concern CDAOs?

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What Are ChatGPT and Its Friends?

O'Reilly on Data

What is it, how does it work, what can it do, and what are the risks of using it? And it can look up an author and make statistical observations about their interests. The last time I had to deal with an insurance issue, I’m not sure I ever talked to a human, even after I asked to talk to a human. What Are the Risks?

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How a Discovery Data Warehouse, the next evolution of augmented analytics, accelerates treatments and delivers medicines safely to patients in need

Cloudera

How can he make it easy to see statistics, and do calculations, on discovered commonalities, across structured and unstructured data? It would enable faster experimentation with easy, protected, and governed access to a variety of data. It will also allow data professionals to self-serve and collaborate through easy dashboarding.