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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. According to October data from Robert Half, AI is the most highly-sought-after skill by tech and IT teams for projects ranging from customer chatbots to predictive maintenance systems.

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CIOs must mind their own data confidence gap

CIO

This data confidence gap between C-level executives and IT leaders at the vice president and director levels could lead to major problems when it comes time to train AI models or roll out other data-driven initiatives, experts warn. Then, after the internal service is finished, IT teams move onto the next thing, Agarwal says.

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Marsh McLennan IT reorg lays foundation for gen AI

CIO

As part of MMTech’s unifying strategy, Beswick chose to retire the data centers and form an “enterprisewide architecture organization” with a set of standards and base layers to develop applications and workloads that would run on the cloud, with AWS as the firm’s primary cloud provider.

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Bobidi launches to reward developers for testing companies’ AI models

TechCrunch

In a 2018 report , Gartner predicted that 85% of AI projects will deliver erroneous outcomes due to bias in data, algorithms or the teams responsible for managing them. ” To test models, the Bobidi “community” of developers builds a validation dataset for a given system. the number of edge cases).

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Data engineers vs. data scientists

O'Reilly Media - Data

The two positions are not interchangeable—and misperceptions of their roles can hurt teams and compromise productivity. It’s important to understand the differences between a data engineer and a data scientist. Misunderstanding or not knowing these differences are making teams fail or underperform with big data.

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Code analysis tool AppMap wants to become Google Maps for developers

TechCrunch

It was described by security experts as a “design failure of catastrophic proportions,” and demonstrated the potentially far-reaching consequences of shipping bad code. Boston-based AppMap , going through TechCrunch Disrupt Startup Battlefield this week, wants to stop this bad code from ever making it into production.

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The future of data: A 5-pillar approach to modern data management

CIO

This approach is repeatable, minimizes dependence on manual controls, harnesses technology and AI for data management and integrates seamlessly into the digital product development process. Just because the work is data-centric or SQL-heavy does not warrant a free pass.

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