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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.

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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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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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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.

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Data Scientist vs Data Engineer: Differences and Why You Need Both

Altexsoft

If you’re an executive who has a hard time understanding the underlying processes of data science and get confused with terminology, keep reading. We will try to answer your questions and explain how two critical data jobs are different and where they overlap. Data science vs data engineering.

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Quantori is building an app development platform focused on life sciences

TechCrunch

It certainly makes some bold claims, saying, “Quantori’s data engineering and data science platform for drug discovery and development aims to build a new data integration and high-performance computational environment for global and early-stage biopharma companies. So we were focused on revenue initially.