Agentic AI
AI-era reinvention of the transactional database with Sigmoid LatticeIQ
Key takeaways Sigmoid LatticeIQ unifies transactional databases, lakehouse analytics, and generative AI into a single governed architecture. Native synchronization and change data…
Scaling Enterprise AI with LLMOps on Databricks
Enterprise investment in GenAI is accelerating, but scaling it remains elusive. Most organizations have already proven that AI can create value through…
Transforming commercial intelligence into action with AI-native RGM
Consumer goods companies have never had more commercial intelligence at their disposal. Pricing teams can measure elasticity at the SKU level. Trade…
What it really takes to turn AI experiments into enterprise impact
AI is advancing rapidly across industries, opening new possibilities for how enterprises innovate, operate, and compete. As models become more capable and…
Conversational BI is redefining enterprise decision-making
Key takeaways Conversational BI is transforming how business users interact with enterprise analytics by enabling natural language queries instead of traditional dashboards….
Connected data foundations are critical to scaling AI innovation
Key takeaways Successful AI adoption in CPG depends more on strong enterprise foundations than on advanced models. End-to-end visibility across data, processes,…
6 BI Trends in 2026: Smarter, faster and AI-driven
Business intelligence is undergoing its most significant reinvention in a decade. If 2025 was about modernizing data infrastructures, 2026 will be the…
Building trustworthy Agentic AI starts with the right guardrails
Key takeaways Agentic AI systems combine large language models with tools, memory, and planning capabilities to autonomously perform tasks and decisions. As…
AI agents reshaping financial service processes
Key takeaways AI agents are transforming financial services by automating complex workflows, improving decision speed, and reducing operational costs across banking functions….