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Unlocking generative AI’s greatest growth opportunities

CIO Business Intelligence

Over the last year, generative AI—a form of artificial intelligence that can compose original text, images, computer code, and other content—has gone from experimental curiosity to a tech revolution that could be one of the biggest business disruptors of our generation. Where will the biggest transformation occur first?

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Next Generation Credit Decisioning with Decision Modeling

Decision Management Solutions

In the recent McKinsey article discussing designing next-generation credit-decisioning models they outlined four best practices for automated credit-decisioning models for banks as they continue their digital transformations. Digital lending based on high-performance credit-decisioning models, says McKinsey, lead to: Increased revenue.

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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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IT leaders grapple with shadow AI

CIO Business Intelligence

With the ability to instantaneously ingest reams of data using large language models (LLMs), generative AI technologies such as OpenAI’s ChatGPT and Google’s Bard can produce reports, contracts, and application code far surpassing earlier technologies in speed, accuracy, and thoroughness. That will pay dividends for years,” Pick says.

IT 98
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CIOs press ahead for gen AI edge — despite misgivings

CIO Business Intelligence

But if there are any stop signs ahead regarding risks and regulations around generative AI, most enterprise CIOs are blowing past them, with plans to deploy an abundance of gen AI applications within the next two years if not already. CarMax CITO Shamim Mohammed confirms his company was using OpenAI’s GPT-3.x

Risk 141
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Getting ready for artificial general intelligence with examples

IBM Big Data Hub

While these large language model (LLM) technologies might seem like it sometimes, it’s important to understand that they are not the thinking machines promised by science fiction. Most experts categorize it as a powerful, but narrow AI model. A key trend is the adoption of multiple models in production.

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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.