From vectors to tensors: Expanding the possibilities of AI search
Vector embeddings changed search, but they represent only a single point in space. For complex, multimodal, or highly nuanced ranking, you need more dimensions. You need tensors. Join us live tomorrow, May 5, for a concise, practical primer on why tensors are the next leap for production AI.
Beyond the SRE: Democratizing observability data with GenAI
GenAI is transforming observability from a specialized SRE domain into a democratized asset, allowing anyone to query complex system data using plain language. Join us on May 12 to democratize insights via natural language, bridge data silos with OpenTelemetry, and future-proof your platform for proactive, agentic AI.
The next step for continuous delivery: An IDP-driven platform
Continuous Delivery solved deployment, but as AI accelerates software delivery, pipelines are still hard for developers to access without tribal knowledge and manual handoffs. Watch on-demand to learn how platform teams connect catalog data, environments, and pipelines to reduce friction and keep delivery consistent.
Break the cycle of spending $250bn on manual IT operations with the IT knowledge graph
Rules-based automation solves only 20% of IT problems, leaving a $250 billion manual burden. BigPanda’s IT Knowledge Graph fixes this by connecting fragmented data and institutional knowledge, allowing AI to handle the complex reasoning rules cannot. Catch the replay to see how this shift drives 430% ROI and reduces outages by replacing reactive, manual operations.
