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Dell cuts jobs amid growing economic uncertainties

CIO Business Intelligence

In its latest filing, the company said it continued executing cost management measures, “including limiting external hiring, employee reorganizations, and other actions” to align its investments with strategic priorities and customer needs. These actions resulted in a reduction in overall headcount.

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Regulatory uncertainty overshadows gen AI despite pace of adoption

CIO Business Intelligence

It’s no surprise, then, that according to a June KPMG survey, uncertainty about the regulatory environment was the top barrier to implementing gen AI. So here are some of the strategies organizations are using to deploy gen AI in the face of regulatory uncertainty. One option, however, is to use open source software.

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Why Construction Businesses Should Track KPIs to Conquer Economic Uncertainty

Jet Global

As a result, measuring success by financials alone isn’t enough for construction and engineering professionals. Due to the Infrastructure Investment and Jobs Act of 2022 in the United States, nonresidential construction is expected to continue expanding despite expected uncertainty in 2023. trillion worldwide by 2030.

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Systems Thinking and Data Science: a partnership or a competition?

Jen Stirrup

However, organizations can be supported by a synergistic approach by integrating systems thinking with the data strategy and technical perspective. The foundation should be well structured and have essential data quality measures, monitoring and good data engineering practices. After all, it can sound a bit woolly!

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Towards optimal experimentation in online systems

The Unofficial Google Data Science Blog

the weight given to Likes in our video recommendation algorithm) while $Y$ is a vector of outcome measures such as different metrics of user experience (e.g., Crucially, it takes into account the uncertainty inherent in our experiments. It is also a sound strategy when experimenting with several parameters at the same time.

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What you need to know about product management for AI

O'Reilly on Data

If you’re already a software product manager (PM), you have a head start on becoming a PM for artificial intelligence (AI) or machine learning (ML). Why AI software development is different. Machine learning adds uncertainty. This shift requires a fundamental change in your software engineering practice.

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Efficiency is the name of the game for IT leaders

CIO Business Intelligence

Rocket Software recently conducted a survey of U.S.-based Faster DevOps processes DevOps tools increase efficiency by helping eliminate the siloes between the development and operations teams, empowering IT teams to evolve and improve products at a faster pace than those using traditional software development.

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