Making Digital Public Infrastructure AI-Ready
DATES
September 24-25, 2026
VENUE
AV Rama Rao Auditorium, Chemical Sciences Building, IISc
Enterprise AI is being throttled by fragmented data landscapes.
IBM Chief Data Officer Study · 2025
Organised by the Centre of Data for Public Good (CDPG) at IISc Bengaluru, the 4th Annual Symposium on Data for Public Good brings together leaders to build the trusted data foundations that power responsible and inclusive AI for a better future.
From an academic convening platform to one of India’s defining ecosystem forums for trusted AI infrastructure, sovereign data exchange, and responsible digital public systems.
Trusted AI Data Exchanges will define the next generation of globally relevant AI ecosystems — secure, interoperable, accountable, and built for societal value.
It is not model capability alone — it is the ability to securely exchange, govern, and derive intelligence from distributed datasets.
Only 13% of India's top AI companies operate at the infrastructure and middleware layer — yet analysts identify it as the highest white-space opportunity with the steepest barriers to entry.
PROGRAMME — DAY 1
Main stage · IISc Bengaluru
Delegate arrival, networking, and exhibition walk
REGISTRATIONSetting the strategic context for the symposium
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CLOSINGPlease stay tuned—this section will be updated shortly.
Why attend
Discover Real-World AI & DPI Deployments
Connect with Government & Industry Leaders
Who Should Attend?
The Strategic Proposition
India has built world-leading digital public infrastructure. The next frontier is building trusted AI data exchange infrastructure that enables secure collaboration, privacy-aware intelligence, and interoperable innovation at national scale.
Only 13% of India’s top AI companies operate at the infrastructure and middleware layer — yet analysts identify it as the highest white-space opportunity with the steepest barriers to entry.
Please stay tuned—this section will be updated shortly.
The challenge isn’t AI capability. The data exists. The AI exists. What’s missing is the trusted operating layer between them — consent, anonymisation, audit, governance — that allows AI to act on city data safely, accountably, and at scale.
Only 13% of India’s top AI companies operate at the infrastructure and middleware layer — yet analysts identify it as the highest white-space opportunity with the steepest barriers to entry.
WHAT CITIES WANT
WHAT CONSTRAINS THEM
FEDERATED LEARNING IN PRODUCTION
When trusted infrastructure removes the data-sharing barrier, AI outcomes dramatically improve — without any organisation surrendering control of its data.
Zurich’s predictive algorithm trained on Orange’s telecommunications data through federated learning — without Orange releasing any data. 30% improvement in AI prediction accuracy. Zero data shared.
University of Pennsylvania + Intel + 70+ medical institutions. Models trained locally, encrypted updates shared. 33% improvement in brain tumour detection. No patient record crossed any institutional boundary.
A major bank’s credit unit fine-tuned its default prediction algorithm using a telco’s data via federated learning. 10% accuracy improvement — without either party sharing any raw customer data.
Banks share fraud labels through encrypted federated channels. Sensitive transaction data remains encrypted throughout and never leaves any bank’s infrastructure. Running in production.
HIGHLIGHTS FROM LAST YEAR
Connect with policymakers, researchers and industry leaders as we explore how trusted data ecosystems can drive innovation and societal impact.
Request an inviteConnect today at sympsoium.cdpg@fsid-iisc.in or info@cdpg.org.in
4th Annual Symposium on
Data for Public Good · 2026
Trusted AI Data Exchange · September 24-25, 2026 · AV Rama Rao Auditorium, Chemical Sciences Building, IISc
#DPG26 · #ResponsiveAI