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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. Artificial Intelligence

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DTN’s CTO on combining IT systems after a merger

CIO

“We had five different forecast engines running in the company through various acquisitions,” says Lars Ewe, who inherited the thorny IT environment when he joined as CTO in February 2020. Just because A bought B, you don’t want to assume that A has better technology than B.”. I am a firm believer in in-house resources.

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IT leaders get creative to fill data science gaps

CIO

They’ve also created a relationship with universities, setting up a pipeline of emerging technology-focused interns, who work at the company, gain experience in data science, and then can potentially be hired after they graduate. . We try to be data-driven in our decisions so we have a great need for analytics skill sets. …

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What is the CIO’s role today? Redefining transformational IT leadership

CIO

I am the future of our business” sounds a bit megalomaniacal, and “I manage the technology function” does not begin to do justice to the impact of your work. Since my team and I spend all day every day helping companies define their technology leadership needs, I have a vested interest in creating some clarity around the CIO role.

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

CIO

As technology continues to advance at a rapid pace, the demand for qualified individuals has soared,” Chan says. 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.

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CIOs confront generative AI’s workplace X factor

CIO

But what will be defined as ‘less capable’ will likely be impacted by the technology’s evolution, as well as the evolution of human-machine partnerships wherever the technology is implemented. Gen AI can pull data together and gives data scientists a different lens, but it can’t ideate for us.

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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. At the core of this commitment, IBM plans to embed Spark into its industry-leading Analytics and Commerce platforms, and to offer Spark as a service on IBM Cloud.