Sponsored Content
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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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The pros and cons of self-service analytics
Self-service analytics lowers skill barriers for data use but does require training and financial investment. Evaluate the pros ...
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Solving specific problems driving enterprise adoption of AI
When weighing the benefits and risks of deploying AI at scale, whether the tools solve specific problems can accelerate ...
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Intel appoints ex-Cadence CEO amid turnaround struggles
Intel appoints chip industry veteran Lip-Bu Tan as the next CEO responsible for revitalizing the struggling chipmaker and ...
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Trump tariffs raise USMCA trade agreement questions
Imposing large tariffs on U.S. allies in the United States-Mexico-Canada Agreement could be a boon for China.
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Vast Data targets secure, speedy agentic AI development
The vendor is furthering its expansion into AI development with features such as vector search and event streaming aimed at ...
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New Databricks tools tackle lingering GenAI accuracy issues
Features such as centralized model governance and real-time monitoring aim to improve the accuracy of outputs so that enterprises...
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Learn the 5 types of digital transformation
A company's business requirements affect which type of digital transformation strategy is most likely to succeed. Learn more ...
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What to include in an RFP for an OMS, with template
A request for proposal can help save software buying teams time because they receive most, if not all, of the data they'll need ...