Data to decisions examines the enablement of data-driven decisions across organizations. Holistic, data-informed decisions require a multi-disciplinary approach that combines performance monitoring with traditional business intelligence and analytic technologies. In addition, data-driven decisions are increasingly delivered in the context of business applications rather than in separate, analytic interfaces.
Enterprises may want to start thinking of large language models (LLMs) as ensemble casts that can combine knowledge and reasoning to complete tasks, according to Japanese AI lab Sakana AI.
The money being thrown around AI talent and infrastructure is staggering, but the return on investment may be sketchy for longer time frames. What happens if AI demand doesn't deliver triple-digit growth forever?
Grammarly built a strong business by bringing its AI writing assistant to wherever you work, but recent acquisitions of Coda and Superhuman and new capital point to much larger ambitions.
HPE's has closed the acquisition of Juniper Networks in a move that will double its networking business.
Cloudflare said it is offering a "pay per crawl" plan where web sites will automatically block AI crawlers and can charge for access. Is this the start of the data dark ages for AI?
To close the loop between insights and actions enterprises will need to double down on process intelligence and efficiency, or what Constellation Research analyst Holger Mueller calls high-fidelity (hi-fi) process management.
Just because you spend a ton of cash to create and AI super team doesn't mean it'll work. Meta makes its Meta Superintelligence Labs official.
Enterprise technology buyers are half way through 2025 and still lack the visibility to make strategic investments with longer time horizons. That said, enterprises are chasing technologies--notably artificial intelligence--to transform, become nimble and optimize so there's a cost cushion due to productivity.
Industrial AI investment is picking up for infrastructure and component vendors indicating that use cases are in the pipeline for manufacturing, automotive and other asset-heavy industries. The quarters ahead will likely see investment move up the technology stack.
