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Interview with: Sankar Narayanan, Chief Practice Officer at Fractal Analytics

Corinium

I am the Chief Practice Officer for Insurance, Healthcare, and Hi-Tech verticals at Fractal. The Insurance practice is currently engaged with several top 10 P&C insurers in the US, across the Insurance value chain through AI, Engineering, Design & Behavioural Sciences programs.

Insurance 250
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Digital listening reveals 3 leading innovation drivers

CIO Business Intelligence

The industries these decision-makers represented include insurance, banking, healthcare and life sciences, government, entertainment, and energy in the U.S. It surpasses blockchain and metaverse projects, which are viewed as experimental or in the pilot stage, especially by established enterprises. and tokenization.

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How to get powerful and actionable insights from any and all of your data, without delay

Cloudera

By enabling their event analysts to monitor and analyze events in real time, as well as directly in their data visualization tool, and also rate and give feedback to the system interactively, they increased their data to insight productivity by a factor of 10. . This led them to fall behind. Our solution: Cloudera Data Visualization.

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Getting ready for artificial general intelligence with examples

IBM Big Data Hub

While leaders have some reservations about the benefits of current AI, organizations are actively investing in gen AI deployment, significantly increasing budgets, expanding use cases, and transitioning projects from experimentation to production. Audio (56%) : Gen AI call centers with realistic audio assist customers and employees.

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CIOs press ahead for gen AI edge — despite misgivings

CIO Business Intelligence

based online insurer, is developing an LLM-based platform to handle customer requests with far more intelligent and enhanced chatbots. Yet, the intense focus on gen AI has only accelerated experimentation for CIOs and vendors, including Musk, whose xAI will reportedly enter the AI arms race.

Risk 141
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Building AI with AutoML and Composable ML

DataRobot

In data science , the best results come through experimentation. It can even perform search for interactions and aggregate transaction data without introducing target leakage. In regulated industries such as banking and insurance, it’s commonly required that models are documented in detail before they can be approved and used.

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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. For example, when I want to insure some property and want to find out if the CEO has been involved in crime. But my favorite is actionable real-time insights.