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AI data readiness: C-suite fantasy, big IT problem

CIO

The survey points to a fundamental misunderstanding among many business leaders regarding the data work needed to deploy most AI tools, says John Armstrong, CTO of Worldly, a supply chain sustainability data insights platform.

Data 201
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IT leaders: What’s the gameplan as tech badly outpaces talent?

CIO

Gen AI-related job listings were particularly common in roles such as data scientists and data engineers, and in software development. They can certainly educate internally, but the technology is evolving so rapidly that by the time you finish a grad school course or program, the technology is different.

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Why thinking like a tech company is essential for your business’s survival

CIO

Weve taken a structured approach to prepare for AI one that balances risk, opportunity and education. Educating and training our team With generative AI, for example, its adoption has surged from 50% to 72% in the past year, according to research by McKinsey. Mike Vaughan serves as Chief Data Officer for Brown & Brown Insurance.

Company 186
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The Grade-AI Generation: Revolutionizing education with generative AI

Capgemini

The Grade-AI Generation: Revolutionizing education with generative AI Dr. Daniel Khlwein March 19, 2025 Facebook Linkedin Our Global Data Science Challenge is shaping the future of learning. In an era when AI is reshaping industries, Capgemini’s 7 th Global Data Science Challenge (GDSC) tackled education.

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3 promises every CIO should keep in 2025

CIO

Forward thinking CIOs quickly realized the need to educate business leaders on AI, and by doing so, some were able to head off further misunderstandings about how much business value could be derived from the current generation of algorithms. Educate the business on AI and educate yourself on the business.

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5 machine learning essentials nontechnical leaders need to understand

TechCrunch

The first is that it can be difficult to differentiate machine learning roles from more traditional job profiles (such as data analysts, data engineers and data scientists) because there’s a heavy overlap between descriptions. Recruiting for ML comes with several challenges. Image Credits: Snehal Kundalkar.

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Why a data scientist is not a data engineer

O'Reilly Media - Ideas

A few months ago, I wrote about the differences between data engineers and data scientists. An interesting thing happened: the data scientists started pushing back, arguing that they are, in fact, as skilled as data engineers at data engineering. Data engineering is not in the limelight.