NEWS

Enterprise AI: transitioning to multi-agent systems

Enterprise adoption of AI is advancing, with multi-agent systems optimising workflows and enhancing governance. Businesses anticipate robust AI integration for a competitive edge.

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NEWS

Dynatrace unveils agentic AI at Perform

Dynatrace announces upgrades designed to elevate AI-driven observability, with impacts on IT operations and customer success.

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NEWS

Advancing connectivity in Boston with 400G solutions

TOWARDEX deploys HUBER+SUHNER's 400G CUBOsystem, enhancing high-capacity connections across the Boston area.

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NEWS

The emergence of agentic AI: navigating enterprise adoption in Europe and the Middle East

As AI technologies mature, enterprises transition from pilots to full-scale implementations, highlighting regional disparities in readiness and adoption.

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NEWS

Kyndryl introduces SAP Centre of Excellence for modernisation and AI adoption

Kyndryl unveils its SAP transformations centre of excellence to support AI-driven SAP transformations and enable faster, more cost-effective modernisation.

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NEWS

AI adoption challenges: navigating the trust paradox

Informatica's new study reveals the trust paradox of AI: rapid adoption yet high risks due to lack of data literacy and governance. Solutions involve investment and upskilling.

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Indigo 21 partners with Teramind to offer workforce monitoring and threat protection, aiming to...
Aston Martin Aramco Formula One® Team has seamlessly transitioned to NetApp for their data storage...
TIBCO Software  is expanding the scope of its partnership with TXODDS, a global leader in...
A sector analysis of the results from a major database monitoring survey has revealed how and why...
Siemens introduces Intelligence Center X, aiming to streamline industrial AI integration to enhance...
Qlik has deepened its partnership with Snowflake, the Data Cloud company, with the launch of a new...
Latest Video

How to Turn Data into Business Value

Marc Chemin, Global Insights & Data Consulting Leader, shares his view on how our clients can exploit big data and analytics to enhance organizational revenues, customer satisfaction and business processes.

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