79 stories
AI-powered knowledge management systems face a fundamental challenge when businesses need accurate answers rather than plausible ones. Imago Platform Ltd. encountered that problem while developing an application to help customers navigate complicated product warranty policies.
Sovereign AI control is becoming a business continuity issue as autonomous agents take on essential enterprise workflows. Keeping data within national boundaries addresses part of the challenge, but organizations also need control over agent behavior, external dependencies and the economics of…
Physical AI needs context about its surroundings to adapt beyond a fixed set of instructions. Munich-based Spranic is building a spatial memory layer that records physical spaces and how they change.
Americans have big concerns about artificial intelligence, but that hasn’t stopped OpenAI Inc., Nvidia Corp., IBM Corp. and others from charging ahead. Last week saw shares of Nvidia, CoreWeave Inc., Oracle Corp. and Nebius Group N.V.
Enterprise AI scalability is running into a hard budget wall for some customers. As agentic workloads multiply, cloud token bills are consuming allocations faster than planned, prompting companies to rethink where inference should run.
As enterprises move from debating artificial intelligence adoption to deploying it, AI governance has become the harder question. Autonomous agents now run around the clock across a sprawl of platforms, and controls built for deterministic software were never designed for them.
Financial institutions are adopting artificial intelligence faster than many compliance teams can establish the controls needed to oversee it. That gap is raising new questions about AI-powered compliance and regulatory accountability.
Voice AI is quickly becoming core infrastructure as people swap screens and clicks for conversations with their devices. That shift puts new pressure on the compute, storage and partnerships behind the models doing the listening and talking.
Silicon Valley’s AI partner ecosystem is changing as enterprises push artificial intelligence projects out of pilots and into production. In the region where much of the AI stack is invented, infrastructure providers are learning that selling to builders takes a different playbook.
When the founders at Phasis Inc. sought to develop a platform for orienting AI agents, they turned to graphs as a way to obtain a measurement of culture. The company wanted to better understand relations not just between people, but between a person and their values, beliefs and subcultures.
Legacy modernization requires understanding how an application’s code, data and business rules fit together before rebuilding it. BotMan AI uses an AI-powered migration pipeline that maps an application’s dependencies, business logic and data models in a knowledge graph.
The semiconductor industry is entering a new era of hardware engineering as artificial intelligence accelerates demand for more powerful chips, interconnected systems and faster product development.
AI is helping companies interpret biological data for drug discovery and more personalized care. Healthcare technology company Flahy Inc. is applying that approach to clinical decision support, bringing together information that could affect a person’s next step in prevention or treatment,…
The artificial intelligence infrastructure race is no longer just about building faster chips. AI infrastructure bottlenecks are shifting attention to a bigger challenge: keeping those chips supplied with data, connected through high-speed networks and operating within increasingly demanding power…
Professional services firms are rethinking how they deliver client value as artificial intelligence takes on more routine work, shifting attention toward human judgment, trusted outcomes and new operating models.
Enterprise IT teams are deploying applications faster than ever, but their ability to detect and resolve production problems isn’t always keeping pace. The growing complexity of hybrid infrastructure, cloud-native applications and interconnected digital services is putting pressure on traditional…
Enterprise AI orchestration must account for agents working across the data, applications and infrastructure businesses already use. As organizations move beyond experiments, running those systems consistently brings questions of access, oversight and operational control into sharper focus.
A control plane for distributed AI could help applications decide which tasks to run on a device, at the edge or in the cloud. Seismora Inc. is developing networking technology to coordinate AI workloads across different providers and computing environments, according to Vito Palermo (pictured),…
Showing 18 of 79 stories
Load more storiesGet the top AI news and tools straight to your inbox every week.
Weekly · AI news
Join 15,000+ AI enthusiasts
