Destination
Why Human Judgment in Trucking Needs to Move Up the AI Stack

For the better part of the past decade, trucking’s biggest pressure points revolved around speed and access. Real-time visibility, rate data, freight information, routes, and shipment timeframes, among many other variables, were largely opaque. The industry’s response to these challenges was AI integration in expanded load boards, multiplied APIs, various freight digital dashboards, and TMS integrations. Now, AI adoption is steadily rising in everyday trucking operations, embedded across the… [...]

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venturebeat
Upwork study shows AI agents excel with human partners but fail independently

Artificial intelligence agents powered by the world's most advanced language models routinely fail to complete even straightforward professional tasks on their own, according to groundbreaking re [...]

Match Score: 64.17

venturebeat
Rapidata emerges to shorten AI model development cycles from months to days with near real-time RLHF

Despite growing chatter about a future when much human work is automated by AI, one of the ironies of this current tech boom is how stubbornly reliant on human beings it remains, specifically the proc [...]

Match Score: 63.97

venturebeat
5% GPU utilization: The $401 billion AI infrastructure problem enterprises can't keep ignoring

For the last 24 months, one narrative justified every over-provisioned data center and bloated IT budget: the GPU scramble. Silicon was the new oil, and H100s traded like contraband. Reserve capacity [...]

Match Score: 55.50

venturebeat
Infrastructure and compute: Enterprises are buying AI compute for speed while flying blind on what it costs

Across 170 enterprises, AI infrastructure has moved decisively into production — two-thirds now run AI workloads live and three in 10 run them at scale — while the ability to account for what that [...]

Match Score: 42.66

venturebeat
Agentic reliability and evaluations : Enterprises that got burned by a bad eval are the most likely to remove humans from the loop, not the least

Across 108 enterprises, trust in automated agent evaluation rose sharply in July — and the failure rate it is supposed to predict did not move at all. The share of organizations that fully trust aut [...]

Match Score: 42.11

venturebeat
Agent context layers: Enterprises governing their AI data are catching twice as many bad answers as the ones who aren't

Across 101 enterprises, the context feeding AI agents is failing often and repeatedly. Sixty-eight percent have traced a confident but wrong agent answer to missing or inconsistent business context in [...]

Match Score: 41.83

venturebeat
AI agents are quietly generating chaos engineering failures enterprises don’t track yet

There is a category of production incident that engineering teams are not tracking yet — because it doesn't fit any existing postmortem template. The agent initiated an action. The action was t [...]

Match Score: 40.95

venturebeat
The enterprise risk nobody is modeling: AI is replacing the very experts it needs to learn from

For AI systems to keep improving in knowledge work, they need either a reliable mechanism for autonomous self-improvement or human evaluators capable of catching errors and generating high-quality fee [...]

Match Score: 39.13

venturebeat
98% of market researchers use AI daily, but 4 in 10 say it makes errors — revealing a major trust problem

Market researchers have embraced artificial intelligence at a staggering pace, with 98% of professionals now incorporating AI tools into their work and 72% using them daily or more frequently, accordi [...]

Match Score: 38.27