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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. in concert with Microsoft’s AI-optimized Azure platform.

Risk 141
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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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How to create a culture of innovation

CIO Business Intelligence

Prioritize time for experimentation. One instance of how that exploration led to real business benefits was with the application of machine learning to predict optimal product formulation using a set of desired consumer benefits. Here, they and others share seven ways to create and nurture a culture of innovation.

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CIOs set their agendas to achieve IT’s ultimate balancing act

CIO Business Intelligence

Hyatt’s experimental mindset and listen-first approach are heavily applied to IT’s pursuit of innovation, he says. When Renganathan was spearheading digital at his previous company, Farmers Group Insurance, IT wanted to bring operational excellence to its customer contact management system. He learned that the hard way.

Strategy 137
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Reflections on the Data Science Platform Market

Domino Data Lab

These data scientists require the flexibility to use a constantly-evolving software and hardware stack to optimize each step of their model lifecycle. 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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How CIOs align with CFOs to build RevOps

CIO Business Intelligence

That includes many technologies based on machine learning, such as sales forecasting, lead scoring and qualification, pricing optimization, and customer sentiment analysis. We’re mostly still optimizing our sales and marketing processes with CRM tools,” he says. But that could change. “I And that’s just the start.

Sales 128
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Expectations vs. reality: A real-world check on generative AI

CIO Business Intelligence

Pilots can offer value beyond just experimentation, of course. McKinsey reports that industrial design teams using LLM-powered summaries of user research and AI-generated images for ideation and experimentation sometimes see a reduction upward of 70% in product development cycle times.