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Presented by Apptio, an IBM company When a technology with revolutionary potential comes on the scene, it’s easy for companies to let enthusiasm outpace fiscal discipline. Bean counting can seem short-sighted in the face of exciting opportunities for business transformation and competitive dominance. But money is always an object. And when the tech is AI, …

AI’s financial blind spot: Why long-term success depends on cost transparency Read More »

AI agents – task-specific models designed to operate autonomously or semi-autonomously given instructions — are being widely implemented across enterprises (up to 79% of all surveyed for a PwC report earlier this year). But they’re also introducing new security risks. When an agentic AI security breach happens, companies may be quick to fire employees and …

Agentic AI security breaches are coming: 7 ways to make sure it’s not your firm Read More »

Vibe coding is evolving and with it are the leading AI-powered coding services and tools, including Anthropic’s Claude Code. As of today, the service will be available via the web and, in preview, on the Claude iOS app, giving developers access to additional asynchronous capabilities. Previously, it was available through the terminal on developers’ PCs …

Claude Code comes to web and mobile, letting devs launch parallel jobs on Anthropic’s managed infra Read More »

Hoping to attract more enterprise teams to its ecosystem, Adobe launched a new model customization service called Adobe AI Foundry, which would create bespoke versions of its flagship AI model, Firefly. Adobe AI Foundry will work with enterprise customers to rearchitect and retrain Firefly models specific to the client. AI Foundry version models are different …

Adobe Foundry wants to rebuild Firefly for your brand — not just tweak it Read More »

As more companies quickly begin using gen AI, it’s important to avoid a big mistake that could impact its effectiveness: Proper onboarding. Companies spend time and money training new human workers to succeed, but when they use large language model (LLM) helpers, many treat them like simple tools that need no explanation. This isn’t just …

The teacher is the new engineer: Inside the rise of AI enablement and PromptOps Read More »

Vector databases (DBs), once specialist research instruments, have become widely used infrastructure in just a few years. They power today’s semantic search, recommendation engines, anti-fraud measures and gen AI applications across industries. There are a deluge of options: PostgreSQL with pgvector, MySQL HeatWave, DuckDB VSS, SQLite VSS, Pinecone, Weaviate, Milvus and several others. The riches …

Abstract or die: Why AI enterprises can’t afford rigid vector stacks Read More »

Google is adding a new feature for third-party developers building atop its Gemini AI models that rivals like OpenAI’s ChatGPT, Anthropic’s Claude, and the growing array of Chinese open source options are unlikely to get anytime soon: grounding with Google Maps. This addition allows developers to connect Google’s Gemini AI models’ reasoning capabilities with live …

Developers can now add live Google Maps data to Gemini-powered AI app outputs Read More »

For many software developers using generative AI, vibe coding is a double-edged sword. The process delivers rapid prototypes but often leaves a trail of brittle, undocumented code that creates significant technical debt. A new open-source platform, Codev, addresses this by proposing a fundamental shift: treating the natural language conversation with an AI as part of …

Codev lets enterprises avoid vibe coding hangovers with a team of agents that generate and document code Read More »

Cisco executives make the case that the distinction between product and model companies is disappearing, and that accessing the 55% of enterprise data growth that current AI ignores will separate winners from losers. VentureBeat recently caught up with Jeetu Patel, Cisco’s President and Chief Product Officer and DJ Sampath, Senior Vice President of AI Software …

Cisco warns enterprises: Without tapping machine data, your AI strategy is incomplete Read More »

AI models are only as good as the data they’re trained on. That data generally needs to be labeled, curated and organized before models can learn from it in an effective way. One of the big missing links in the AI ecosystem has been the availability of a large high-quality open-source multimodal dataset. That changes …

World’s largest open-source multimodal dataset delivers 17x training efficiency, unlocking enterprise AI that connects documents, audio and video Read More »