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Controversial US budget bill is now law; here’s what it means for tech – Computerworld

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And despite the removal of the AI regulation ban, Bickley said, “it does signal that Washington is seriously considering a national AI framework. Tech leaders investing in genAI today should plan for a regulatory layer tomorrow, which will likely focus on explainability, auditability, and training data integrity.”

Permanent R&D and capital expensing provisions could turn the tax code into a “strategic lever,” he noted. “CIOs and CTOs now have a clear financial incentive to anchor AI training, cloud deployment, and cybersecurity tooling on US soil. For organizations with global architecture, this could reshape their location strategies around data, compute, and compliance.”

In addition, defense allocations for cyber-resilient supply chains, domestic manufacturing, and AI-adjacent technologies could give IT ”a rare but crucial chance to renegotiate vendor SLAs around security baselines,” he said.



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Could gen AI radically change the power of the SLA?

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Clorox’s lawsuit cites transcripts of help desk calls as evidence of Cognizant’s negligence, but what if those calls been captured, transcribed, and analyzed to send real-time alerts to Clorox management? Could the problem behavior have been discovered early enough to thwart the breach?

Here, generative AI could have a significant impact, as it delivers the capability to capture information from a wide range of communication channels — potentially actions as well via video — and analyze for deviations from what a company has been contracted to deliver. This could deliver near-real-time alerts regarding problematic behavior in a way that could spur a rethinking of the SLA as it is currently practiced. 

“This is flipping the whole idea of SLA,” said Kevin Hall, CIO for the Westconsin Credit Union, which has 129,000 members throughout Wisconsin and Minnesota. “You can now have quality of service rather than just performance metrics.”



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Box’s new AI features help unlock dormant data – Computerworld

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AI provides a technique to extract value from this untapped resource, said Ben Kus, chief technology officer at Box. To use the widely scattered data properly requires preparation, organization, and interpretation to make sure it is applied accurately, Kus said.

Box Extract uses reasoning to dig deep and extract relevant information. The AI technology ingests the data, reasons and extracts context, matches patterns, reorganizes the information by placing it in fields, and then draws correlations from the new structure. In a way, it restructures unstructured data with smarter analysis by AI.

“Unstructured data is cool again. All of a sudden it’s not just about making it available in the cloud, securing it, or collaboration, but it’s about doing all that and AI,” Kus said.



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CoreWeave scales rapidly to meet AI growth

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Despite short-term stock pressure, CoreWeave remains positioned to meet overwhelming AI compute demand, supporting long-term optimism in the sector.

Nvidia-backed CoreWeave says peak AI investment is still far off, as demand for compute capacity from OpenAI, hyperscalers, enterprises, and governments continues to surge. CEO Michael Intrator said CoreWeave is rapidly scaling to meet soaring global GPU demand.

CoreWeave shares have fallen around 20% despite strong market interest over the past month. The decline follows a higher-than-expected Q2 net loss, $1 billion in capital expenditure, and a projected $500 million this quarter, raising debt concerns.

Since the IPO lockup expiry, insider stock sales have added to the downward pressure.

Intrator defended the company’s strategy, describing debt as the most efficient way to fund growth. Analysts warn CoreWeave shares could stay volatile, though strong AI infrastructure demand supports long-term optimism.

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