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6 lessons to learn from the 60-year history of the modern mainframe

CIO Business Intelligence

These colossal machines underpinned critical functions, from financial transactions to scientific simulations, showcasing unparalleled reliability, scalability, and performance. Moreover, mainframes continue to evolve, integrating emerging technologies like AI and machine learning to meet the demands of tomorrow.

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What you need to know about product management for AI

O'Reilly on Data

If you’re already a software product manager (PM), you have a head start on becoming a PM for artificial intelligence (AI) or machine learning (ML). But there’s a host of new challenges when it comes to managing AI projects: more unknowns, non-deterministic outcomes, new infrastructures, new processes and new tools.

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12 data science certifications that will pay off

CIO Business Intelligence

Data science certifications give you an opportunity to not only develop skills that are hard to find in your desired industry, but also validate your data science know-how so recruiters and hiring managers know what they get if they hire you. Not finding what you’re looking for? Check out our list of top big data and data analytics certifications.)

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How technology is reshaping the college student experience

CIO Business Intelligence

Over 75% are thriving and believe their tuition paid is a worthwhile investment, proving a clear link between student satisfaction in higher learning and technology. Over 75% are thriving and believe their tuition paid is a worthwhile investment, proving a clear link between student satisfaction in higher learning and technology.

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Rocket Mortgage lays foundation for generative AI success

CIO Business Intelligence

That’s why Rocket Mortgage has been a vigorous implementor of machine learning and AI technologies — and why CIO Brian Woodring emphasizes a “human in the loop” AI strategy that will not be pinned down to any one generative AI model. To succeed in the mortgage industry, efficiency and accuracy are paramount.

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Quality Assurance, Errors, and AI

O'Reilly on Data

A recent article in Fast Company makes the claim “ Thanks to AI, the Coder is no longer King. Generative AI will be used to create more and more software; AI makes mistakes and it’s difficult to foresee a future in which it doesn’t; therefore, if we want software that works, Quality Assurance teams will rise in importance.

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Transform the modern data center: From today to the future

CIO Business Intelligence

These include the accelerating transition to cloud platforms, the growth of hybrid and remote work models, and the rapid adoption of artificial intelligence (AI) and machine learning (ML) technologies across every industry. As IT leaders, understanding the path forward is crucial.