In this week's real-time analytics news: HPE launched HPE Swarm Learning, a privacy-preserving, decentralized machine learning framework for the edge. Keeping pace with news and developments in the real-time analytics market can be a daunting task. We want to help by providing a summary of some of the important news items our staff came across this week. Hewlett Packard Enterprise (HPE) announced the launch of HPE Swarm Learning, an AI solution to accelerate insights at the edge, from diagnosing diseases to detecting credit card fraud, by sharing and unifying AI model learnings without compromising data privacy. HPE Swarm Learning is a privacy-preserving, decentralized machine learning framework for the edge or distributed sites.

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. Birds, fish, insects and other creatures have long been known to swarm or "murmur," -- which means on occasion they will move and coordinate as a group, rather than as directed by a centralized leader. This age-old practice throughout the nature of protection-by-confusion has given rise to the emerging concept of "swarm learning" – what some are touting as the next era in AI innovation. When applied to intelligent devices operating in the real world, "swarm learning" refers to decentralization. This means that users can share learnings at the edge, or at distributed sites, without moving or exposing data.