AI Agents
From stateless to personal: How memory powers trustworthy Agentic AI
Key takeaways Assistants without memory force users to repeat preferences and context in every session, a friction cost that directly undercuts the…
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…
Monitoring data quality with AI Agents that move from alerts to action
Key takeaways Data quality monitoring is automated, but resolution is still manual. AI agents extend automation into diagnosis, prioritization, and remediation. Multiple…
How AI agents are transforming MedTech compliance processes
Around 50 % of MedTech companies say they lack full confidence in the completeness of their regulatory data for global product registrations.1…
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….
Data foundation that powers successful enterprise AI agents
Key takeaways Successful AI agents depend on strong data foundations that have reliable ingestion pipelines, governed datasets and real-time retrieval systems. Enterprise…