Real-time Analytics News for the Week Ending January 27
In this week's real-time analytics news: MLCommons formed a new working group to produce machine learning benchmarks for client systems such as desktops, laptops, and workstations.
Real-time Analytics News for the Week Ending January 13
In this week's real-time analytics news: NVIDIA is bringing Generative AI down to the individual developer and consumer level with its GeForce RTX SUPER desktop GPUs and new AI laptops that use them from every top manufacturer.
Why Companies Shouldn’t Overlook the Role of Open Source
AI and other innovation areas are drawing government regulatory interest. To avoid problems, the tech industry is taking proactive measures to set its own standards, and open source is emerging as a pivotal force in this endeavor.
The Impact of Data Sovereignty on Integration Strategy Requires a ‘Goldilocks’ Solution
Meeting data sovereignty regulations is essential for business success and requires the right data management balance between centralized control and local execution.
Real-time Analytics News for the Week Ending December 9
In this week's real-time analytics news: IBM, Meta, and more than 50 organizations launched the AI Alliance to advance more open AI.
Real-time Analytics News for the Week Ending December 2
In this week's real-time analytics news: Amazon Web Services and its partners made many announcements at the annual re: Invent conference.
Real-time Analytics News for the Week Ending November 25
In this week's real-time analytics news: Amazon’s new AI Ready initiative seeks to bring AI to the masses.
Real-time Analytics News for the Week Ending November 11
In this week's real-time analytics news: IBM announced it will launch a $500 million AI venture fund.
Real-time Analytics News for the Week Ending November 4
In this week's real-time analytics news: The Whitehouse issued an Executive Order addressing AI safety and security.
How to Select a Streaming Platform: A Practical Guide
With stream processing flipping the data processing paradigm from store then process to process then store, the critical capabilities to evaluate when building streaming applications are vastly different from those for batch. Here we discuss the available choices for building streaming solutions and a high-level guidance for selecting them.