AI infrastructure

Enterprises investing in deep learning platforms need AI infrastructure sufficient enough to synthesize a massive amount of data. Find the information you need to make decisions about AI-specific compute architectures -- from GPU-packed servers to highly scalable clustered computing systems built for big data and machine learning applications.

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How to start an AI for business leaders, executives program
Executives need AI knowledge to lead transformations effectively. These leading programs vary in depth and cost, and focus on ...
Manufacturing leaders must close AI knowledge gaps
In this Q&A, Heidi Hoffman of ON Partners discusses how manufacturing leaders face an AI skills gap as areas like supply chain ...
Mass automation: A vision for nearly automated companies
Nearly automated companies may sound like science fiction, but author Nick Pogrebnyakov argues business leaders should prepare ...

Data ontologies are foundational for usable AI outputs
Data ontologies strengthen AI outputs with governed definitions across platforms and departments, helping data leaders boost ...
Regatta Data launches unified base for AI with RegattaDB
The database vendor is entering a crowded market with the launch of a database purpose-built for agents by unifying disparate ...
How governance as code controls AI agent risk
As more stringent EU AI Act requirements take effect, enterprises need runtime guardrails that control autonomous agents' actions...

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