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Healthcare organizations must create a strong data foundation to fully benefit from generative AI

CIO

However, the effort to build, train, and evaluate this modeling is only a small fraction of what is needed to reap the vast benefits of generative AI technology. Key elements of this foundation are data strategy, data governance, and data engineering. Consider the iceberg analogy.

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IT leaders get creative to fill data science gaps

CIO

“Even though we’ve seen a huge proliferation of data, the supply for analysts does not meet the demand,” says Bess Healy, senior vice president and CIO at Stamford, Conn.-based We try to be data-driven in our decisions so we have a great need for analytics skill sets. … These people are making up a data science support system.

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10 most difficult-to-fill IT roles — and how to address the gap

CIO

CIO.com’s 2023 State of the CIO survey recently zeroed in on the technology roles that IT leaders find the most difficult to fill, with cybersecurity, data science and analytics, and AI topping the list. As a result, many enterprise IT leaders find themselves in bidding wars they’re unable to win. “The

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CIOs confront generative AI’s workplace X factor

CIO

Our examiners are welcoming the help from AI tools to take away the clerical and administrative functions so they can focus more on thoughtful analytics that cannot be merely programmed.” Chief among those foundations — at least for now — is the company’s workforce. Gen AI is not a magic bullet,” she said at the summit.

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The IBM Press Release on Spark That Every Tech Leader Should Read

CTOvision

They also launched a plan to train over a million data scientists and data engineers on Spark. ARMONK, NY - 15 Jun 2015: IBM (NYSE:IBM) today announced a major commitment to Apache®Spark™, potentially the most important new open source project in a decade that is being defined by data.

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Apiumhub among top IT industry leaders in Code Europe event

Apiumhub

This year you will have 6 unique tracks: Cloud Computing: IaaS, PaaS, SaaS DevOps: Microservices, Automation, ASRs Cybersecurity: Threats, Defenses, Tests Data Science: ML, AI, Big Data, Business Analytics Programming languages: C++, Python, Java, Javascript,Net Future & Inspire: Mobility, 5G data networks, Diversity, Blockchain, VR.

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DTN’s CTO on combining IT systems after a merger

CIO

Over the years, DTN has bought up several niche data service providers, each with its own IT systems — an environment that challenged DTN IT’s ability to innovate. “We Analytics, Data Management Very little innovation was happening because most of the energy was going towards having those five systems run in parallel.”.