InfoWorld AI·
I’ve been watching the cloud market long enough to know when a useful innovation becomes a strategic distraction. That’s what is happening now with agentic AI. The concept itself is not the issue. There is real value in autonomous and semi-autonomous systems that can coordinate tasks, assist developers, optimize workflows, and eventually reduce the amount of manual effort required to run complex businesses. However, just because a technology has promise does not mean it deserves to dominate the road map. Right now, many cloud providers are acting as if agentic AI is the next unavoidable layer of enterprise computing, and therefore the best use of executive attention, engineering investment, and marketing energy. I think that is a mistake. In fact, I think it is the wrong priority at the wrong time. The cloud providers are not operating from a position of solid fundamentals. They are still struggling with platform fragmentation, operational complexity, uneven service integration, confus
Read full articleA familiar pattern has emerged in robotics and autonomous systems: a flagship demo runs beautifully on stage, the same system stumbles in a live warehouse two weeks later, and the post-mortem blames “reality” for being messier than the test environment. Some voices in the field argue the missing layer is hardware — better grippers, force-torque […]
IHS's top cyber official says AI will help security teams be more efficient, allowing analysts to work on things "we really don't want agentic AI to do.”
Medication non‑adherence remains one of health care’s most persistent and expensive challenges. Across chronic conditions, only about half of patients take medications as prescribed, even when effective treatments are available. The consequences are significant: disease progression, avoidable hospitalizations, increased mortality, and hundreds of billions of dollars in preventable health care [...] The post From predicting risk to changing behavior: Rethinking medication adherence with agentic AI appeared first on SAS Blogs.
SAN FRANCISCO, May 5, 2026 — Altara, an AI company building the scientific intelligence platform for R&D through manufacturing, today announced $7 million in seed funding led by Greylock. Neo, BoxGroup, […] The post Altara Raises $7M to Accelerate Scientific and Industrial Breakthroughs with Agentic AI appeared first on AIwire.
Social media platform invests in equivalent to OpenClaw that aims to seamlessly carry out everyday tasks for users
Vishal Sharma watched enterprise AI deployments stall for the same reason over and over: capable models, broken infrastructure, and governance added after the fact. In this interview, the SearchUnify CTO explains how agentic AI actually works at scale, why most pilots never leave the experiment stage, and what it genuinely takes to build autonomous support systems that hold up in production.
Insider Brief PRESS RELEASE — JuliaHub announces the launch of Dyad 3.0 and a $65M series B funding round led by Dorilton Capital, with participation from General Catalyst, AE Ventures, and technology investor and former Snowflake CEO Bob Muglia. Dyad marks a fundamental shift in how physical systems are designed and built, bringing autonomous AI agents into […]
I’ve been watching the cloud market long enough to know when a useful innovation becomes a strategic distraction. That’s what is happening now with agentic AI. The concept itself is not the issue. There is real value in autonomous and semi-autonomous systems that can coordinate tasks, assist developers, optimize workflows, and eventually reduce the amount of manual effort required to run complex businesses. However, just because a technology has promise does not mean it deserves to dominate the road map. Right now, many cloud providers are acting as if agentic AI is the next unavoidable layer of enterprise computing, and therefore the best use of executive attention, engineering investment, and marketing energy. I think that is a mistake. In fact, I think it is the wrong priority at the wrong time. The cloud providers are not operating from a position of solid fundamentals. They are still struggling with platform fragmentation, operational complexity, uneven service integration, confus
