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IT leaders: What’s the gameplan as tech badly outpaces talent?

CIO

Dun and Bradstreet has been using AI and ML for years, and that includes gen AI, says Michael Manos, the companys CTO. In a November report by HR consultancy Randstad, based on a survey of 12,000 people and 3 million job profiles, demand for AI skills has increased five-fold between 2023 and 2024. Other surveys found a similar gap.

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What is data architecture? A framework to manage data

CIO

Many organizations today are looking to modernize their data architecture as a foundation to fully leverage AI and enable digital transformation. Consulting firm McKinsey Digital notes that many organizations fall short of their digital and AI transformation goals due to process complexity rather than technical complexity.

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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 Very little innovation was happening because most of the energy was going towards having those five systems run in parallel.”. I am a firm believer in in-house resources.

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Beyond the hype: 4 use cases that show what’s actually working with gen AI

CIO

At Emburse, an expense reimbursement company, software developers use code generation tools like Github Copilot and Amazon Q Developer, which integrate directly into developer environments, says Ken Ringdahl, the companys CTO. Theyre used to automate code generation, improve code structure, and even identify potential defects.

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Remember when developers reigned supreme? The market for software coding goes soft

CIO

Job titles like data engineer, machine learning engineer, and AI product manager have supplanted traditional software developers near the top of the heap as companies rush to adopt AI and cybersecurity professionals remain in high demand. The job will evolve as most jobs have evolved.

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10 key roles for AI success

CIO

Successful AI teams also include a range of people who understand the business and the problems it’s trying to solve, says Bradley Shimmin, chief analyst for AI platforms, analytics, and data management at consulting firm Omdia. Data engineer.

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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.