Human review is emerging as the backbone of AI evaluation, with teams using domain experts to build golden datasets that power increasingly accurate automated scoring systems over time.
Spotify engineers reveal a powerful two-stage AI development strategy, combining LLM evaluations and A/B testing in a feedback-driven funnel that filters weak candidates early and validates real-world impact, making both tools smarter over time.
LLM Wiki v2 revolutionizes AI knowledge management by introducing decaying confidence scores, a typed knowledge graph, hybrid search, and self-healing automation that keeps knowledge bases accurate, scalable, and production-ready with minimal human oversight.
Global AI spending is surging toward $2.59 trillion by 2026 — a 47% year-over-year increase — as enterprises flood the market with agentic automation investments, but CIOs are struggling to prove ROI, with analysts warning that misalignment between AI initiatives and strategic business goals remains the critical obstacle.
Datadog launches Toto 2.0, a groundbreaking family of open-weights time series forecasting models scaling up to 2.5 billion parameters, achieving state-of-the-art results across all major benchmarks while being up to 7 times more parameter-efficient than its predecessor.
Braintrust launches multi-turn AI conversation evaluation tools that expose hidden chatbot failures—like repeated questions and contradictions—by scoring both individual responses and full conversations at scale in production.
Celonis launches a real-time digital twin of business operations called the Celonis Context Model and acquires MIT-founded AI firm Ikigai Labs, combining live operational data with predictive AI to help enterprises like AstraZeneca and Mercedes make smarter, faster decisions.
Databricks' Genie AI agent is dominating enterprise data queries with over 90% accuracy, dwarfing rivals stuck at 32%, powered by specialized knowledge search, parallel reasoning, and a Multi-LLM design built to tackle the unique chaos of real-world business data.
Teradata launches its Autonomous Knowledge platform, a centralized hub tackling the persistent enterprise data chaos that has blocked AI deployment at scale for nearly four years by cleaning, structuring, and governing live data to power reliable agentic AI solutions.
Teradata launches its Autonomous Knowledge Platform, unifying AI models, data, and analytics into a single governed enterprise system, featuring AI Studio, Tera Agents, and a natural language workspace called Tera, with full availability expected in Q3 2026.