… Overcoming fragmented architecture Previously, Target’s discovery data ecosystem relied on a combination of Elasticsearch clusters for search and inverted indexes, alongside separate NoSQL datastores for our transactional data. …
… Recent research by the Google Threat Intelligence Group GTIG identified the first known zero-day exploit developed with AI . This finding, combined with the intense industry focus on AI-driven vulnerability discovery, has driven many organizations to search for a quick technological countermeasure. …
… How Malachyte lifted sales for their users For Malachyte, the aha moment was discovering that it could use neural networks with attention mechanisms — the same concept powering large language models — to personalize retail search and product pages. …
… Configure real-time alerts in iManage, SharePoint, and corporate email directories for rapid file searches, search-term spikes, and mass file downloads. …
… Enterprise Agents and Use Cases : Discover how AI agents drive real business impact. …
… While Google Research has published several research papers, held workshops , and released open-source projects based on its graph mining tools e.g., for multi-core clustering , this is the first time that they are widely available to Google Cloud customers. …
… This creates friction for data discovery, slows down delivery teams, and limits the value we can unlock from AI solutions built on top of our data. …
… Skill search prompt I asked the agent what community agent skills were available for Go: Loading... …
… A consumer, whether a person, deterministic code, or an agent scanning during search and discovery, first has to decide whether a concept is relevant at all. …
… Gemini Enterprise for Customer Experience CX : Specifically built for agentic retail, this platform transforms fragmented search, commerce and service touch points into one seamless journey — whether you need a shopping assistant, a support bot, agentic search or help with merchandising. …