Applied research for what's next
Spark AI is SDSC's industry consortium for applied research in AI, agentic systems, and quantum: sponsor-driven studies, working papers, and executive workshops.
Research
Executive briefings, working papers, and points of view from the consortium.
Scientifically Automating Data Quality Decisions with AI Explainability Weights
James Massa, JPMorgan Chase & James E. Short, SDSC
Working PaperIs AI Governable?
As AI systems grow in scale, complexity, and capability, how they can be effectively governed becomes increasingly urgent.
Working PaperAgentic AI Data Quality and Zero Trust
Introduces Zero Trust Data Quality (ZTDQ), applying zero-trust principles to data quality assessment in agentic systems.
Point of ViewArchitecting Enterprise AI for Scale, Control, and Competitive Advantage
John Ottman & Suresh Mani, Solix
Active Projects
Sponsor-driven studies underway now.
Upcoming
Workshops and events on the calendar.
What AI Means for Business
Digitalization is the opportunity, and it takes a decade to get right.
Most of AI's progress happens where it cannot be directly observed.
Healthcare is the use case with the most at stake.
Evidence-based policy is the case for AI in government.
The better life depends on the values built into the design.
An executive forum for applied AI research
Spark AI is SDSC's industry consortium for measuring what actually works in enterprise AI, through rigorous, sponsor-driven research and a small, senior group of members.
Join Spark AI