These skills include instructions for querying and summarizing scientific literature, retrieving chemical and molecular data, performing similarity searches across compounds, and synthesizing evidence across sources.
The system combines these agents and skills with external data...
The rise of AI has transformed data into a strategic asset, requiring flexible, integrated, and real-time data architectures. Traditional, rigid systems and pipelines, designed...
Serverless compute for modern data applications
So, what’s next in the evolution of serverless compute? Today’s data and AI applications are dynamic and unpredictable. They...
Improvements in context windows and memory will drive agentic innovation
With improvements in foundation models slowing, the next frontier is agentic AI. In 2026, the...
