Sponsored Content
Sponsored content is a special advertising section provided by IT vendors. It features educational content and interactive media aligned to the topics of this web site.
AI at the Edge – Fulfilling the Promise
The ability to deliver inference anywhere is essential for successfully using AI across the organization. A recent Evans Data study found 1.4X more inference demand is projected outside data centers vs. in. As a result, AI strategies based on a hybrid (cloud and edge) infrastructure strategy will be the preferred approach.
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Yellowfin boosts analytics suite with new NLQ capabilities
The vendor's latest update adds features that bring it more in line with competitors that have been faster to move beyond ...
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Build a business intelligence team to optimize data use
Leaders who want to protect data investments must build a strategic business intelligence team with five core roles: the expert, ...
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12 top business process management tools for 2026
BPM platforms are becoming a business transformation engine as vendors infuse their tools with powerful AI and automation ...
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What Big Tech's AI spending means for your IT budget
Hyperscalers are spending billions on AI. CIOs can't match that scale -- but they can adopt smarter budgeting strategies to ...
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Confluent adds A2A support to fuel multi-agent AI networks
Including the open protocol enables users to build an orchestrated network of collaborative agents and could help the vendor ...
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18 top big data tools and technologies to know about in 2026
Numerous tools are available to use in big data applications. Here are 18 popular open source big data technologies, with details...
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5 conditions for durable enterprise AI
Enterprise AI becomes durable when experimentation matures into governance, integration discipline and production-grade ...
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How ERP and supply chain platforms protect profits
Working capital, forecast accuracy and supplier exposure are governed as much by ERP and supply chain design as finance policy, ...