Remove Experimentation Remove Insurance Remove ROI
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CIOs to spend ambitiously on AI in 2025 — and beyond

CIO Business Intelligence

While the ROI of any given AI project remains uncertain , one thing is becoming clear: CIOs will be spending a whole lot more on the technology in the years ahead. Amazon Web Services, Microsoft Azure, and Google Cloud Platform are enabling the massive amount of gen AI experimentation and planned deployment of AI next year, IDC points out.

ROI 137
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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. It is fast and slow.

Analytics 250
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Learning from the AI leaders

CIO Business Intelligence

Research from IDC predicts that we will move from the experimentation phase, the GenAI scramble that we saw in 2023 and 2024, and mature into the adoption phase in 2025/26 before moving into AI-fuelled businesses in 2027 and beyond. These ROI expectations exist despite many surveyed organisations not having a clear AI strategy.

ROI 59
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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?

Insurance 150
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Expectations vs. reality: A real-world check on generative AI

CIO Business Intelligence

Ready to roll It’s shorter to make a list of organizations that haven’t announced their gen AI investments, pilots, and plans, but relatively few are talking about the specifics of any productivity gains or ROI. Pilots can offer value beyond just experimentation, of course. But where am I going to make money as an organization?”

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ADP’s cloud transformation pays dividends

CIO Business Intelligence

These HCM services include applicant tracking, compensation, talent, and learning management, as well as insurance and retirement services. Still, ADP’s long-term experimentation with AI also includes use of Microsoft’s OpenAI Service and Databricks’ AI platforms, Nagrath says. We are still forming [a plan] on how we’re going to do it.”

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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. A key trend is the adoption of multiple models in production.