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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Investments in cloud and data set to grow as data sharing and data governance top the list of UK...
Purpose-built data lake helps customers and partners achieve a more complete, organization-wide...
Alteryx One aims to enable enterprises to scale AI and automation by providing governed, repeatable...
This collaboration between Microsoft and Informatica provides customers an accelerated path for...
With Bright Insights, Bright Data will now provide customers with the complete web data cycle, from...
International Data Corporation (IDC) has completed an in-depth market sizing of the EMEA Big...
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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