NVIDIA: AI Still Has a Hardware Problem
The largest AI models can take months to train on today’s computing platforms. NVIDIA's new offerings aim to address that issue.
How real-time data is used in business analytics, including predictive, descriptive, and prescriptive uses. Edge analytics is also explored.
The largest AI models can take months to train on today’s computing platforms. NVIDIA's new offerings aim to address that issue.
Governments like Shanghai and the others in the top five smart cities spots want to use data to democratize services and
Simulations in a metaverse environment could allow manufacturers to test thousands of potential scenarios for their ecosystems to explore different
In this week's real-time analytics news: NVIDIA's GTC conference saw many new offerings from the company and its partners to accelerate AI and extend its use …
Turning security threats into proactive protection for the long haul requires an engaged security operations center
In this week's real-time analytics news: Microsoft Azure and Snowflake independently announced enhanced healthcare and life sciences offerings.
The global market for digital twins is expected to reach a value of $46.08 billion by 2026, registering a CAGR of 35.01% over the next five
Low-code development platforms help organizations deploy applications faster by lowering barriers to technology and data
Companies must rein in big data to ensure their industrial AI systems are delivering the right insights at the right
From logistics to fraud prevention and across industries, data enrichment is being used, providing new insights and streamlining processes.