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IDC chief research officer: GenAI, from experimentation to adoption

CIO

As the chief research officer at IDC, I lead a global team of analysts who develop research and provide advice to help our clients navigate the technology landscape. Fast forward to 2024, and our data shows that organizations have conducted an average of 37 proofs of concept, but only about five have moved into production.

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What is a data engineer? An analytics role in high demand

CIO

What is a data engineer? Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. They create data pipelines used by data scientists, data-centric applications, and other data consumers. The data engineer role.

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Fundamentals of Data Engineering

Xebia

The following is a review of the book Fundamentals of Data Engineering by Joe Reis and Matt Housley, published by O’Reilly in June of 2022, and some takeaway lessons. This book is as good for a project manager or any other non-technical role as it is for a computer science student or a data engineer.

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

CIO

Plus, according to a recent survey of 2,500 senior leaders of global enterprises conducted by Google Cloud and National Research Group, 34% say theyre already seeing ROI for individual productivity gen AI use cases, and 33% expect to see ROI within the next year. The personal research assistant is only for Verizon employees, says Higgins.

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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. Were building a department of AI engineering, mostly by bringing in people from data engineering and training them to work with gen AI and AI in general, says Daniel Avancini, Indiciums CDO.

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The key to operational AI: Modern data architecture

CIO

Recent research shows that 67% of enterprises are using generative AI to create new content and data based on learned patterns; 50% are using predictive AI, which employs machine learning (ML) algorithms to forecast future events; and 45% are using deep learning, a subset of ML that powers both generative and predictive models.

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Ready to transform how your IT organization drives business outcomes with AIOps?

CIO

According to BMC research in partnership with Forbes Insight , more than 80% of IT leaders trust AI output and see a significant role for AI, including but not limited to generative AI outputs. Research respondents believe AI will positively impact IT complexity and improve business outcomes.