The AI narrative has mostly been dominated by model performance on key industry benchmarks. But as the field matures and enterprises look to draw real value from advances in AI, we’re seeing parallel research in techniques that help productionize AI applications. At VentureBeat, we are tracking AI research that can help understand where the practical implementation of technology is heading. We are looking forward to breakthroughs that are not just about the raw intelligence of a single model, but about how we engineer the systems around them. As we approach 2026, here are four trends that can represent the blueprint for the next generation of robust, scalable enterprise applications.Continual learningContinual learning addresses one of the key challenges of current AI models: teaching t [...]
Google on Monday unveiled the most significant upgrade to its autonomous research agent capabilities since the product's debut, launching two new agents — Deep Research and Deep Research Max [...]
Enterprise AI has largely been built around context engineering. Teams connect enterprise systems, generate chunks and embeddings, build retrieval pipelines, and assemble the context needed by individ [...]
Nimble, a New York City-based tech startup VentureBeat previously covered for its efforts to re-invent web search for enterprises by using multiple AI agents to improve accuracy and depth, is taking a [...]
We called 2023’s Galaxy Watch 6 a “modest upgrade” from the Galaxy Watch 5, which itself also got described as “very similar” to its predecessor, the Watch 4. So it’s perhaps not surprisin [...]
Perplexity, the AI-powered search company valued at $20 billion, announced on Wednesday at its inaugural Ask 2026 developer conference that its multi-model AI agent, Computer, is now available to ente [...]
In the race to deploy generative AI for coding, the fastest tools are not winning enterprise deals. A new VentureBeat analysis, combining a comprehensive survey of 86 engineering teams with our own ha [...]
New VB Pulse data shows Microsoft and OpenAI leading enterprise agent orchestration, but Anthropic’s first measurable foothold points to a larger fight over who controls the infrastructure where AI [...]
Enterprise AI has a new infrastructure problem: companies are accumulating agents faster than they are developing systems to govern them.Gartner estimates that the average global Fortune 500 company w [...]
One year after emerging from stealth, Strella has raised $14 million in Series A funding to expand its AI-powered customer research platform, the company announced Thursday. The round, led by Bessemer [...]