AI & RoboticsNews

TigerGraph launches Workbench for graph neural network ML/AI modeling

TigerGraph, maker of a graph analytics platform for data scientists, during its Graph & AI Summit event today introduced its TigerGraph ML (Machine Learning) Workbench, a new-gen toolkit that ostensibly will enable analysts to improve ML model accuracy significantly and shorten development cycles.  Workbench does this while using familiar tools, workflows, and libraries in a single…
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AI & RoboticsNews

How to use responsible AI to manage risk

We are excited to bring Transform 2022 back in-person July 19 and virtually July 20 – 28. Join AI and data leaders for insightful talks and exciting networking opportunities. Register today! While AI-driven solutions are quickly becoming a mainstream technology across industries, it has also become clear that deployment requires careful management to prevent unintentional damage.  As is…
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AI & RoboticsNews

How amalgamated learning could scale medical AI

AI shows tremendous promise in discovering new patterns buried in mountains of data. Yet, some data remains isolated across various silos for technical, ethical and commercial reasons. A promising new AI and machine learning technique called amalgamated learning might help…
AI & RoboticsNews

AI and low/no code: What they can and can’t do together

We are excited to bring Transform 2022 back in-person July 19 and virtually July 20 – 28. Join AI and data leaders for insightful talks and exciting networking opportunities. Register today! Artificial Intelligence (AI) is in the fast lane and driving  toward mainstream enterprise acceptance, but, at the same time, another technology is making its presence known: low-code and no-code…
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AI & RoboticsNews

Nvidia details plans to transform data centers into AI factories

We are excited to bring Transform 2022 back in-person July 19 and virtually July 20 – 28. Join AI and data leaders for insightful talks and exciting networking opportunities. Register today! The road to more powerful AI-enabled data centers and supercomputers is going to be paved with more powerful silicon. And if Nvidia has its way, much of the silicon innovation will be technology it has…
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