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Anand S Mining Digital ExhaustEvery day, we leave behind a trail of digital exhaust — browser histories, search queries, command-line logs, chat messages, fitness data, and more. This workshop transforms that overlooked byproduct into a playground for insight. You’ll extract your own digital traces (or choose anonymized samples), explore them through data analysis, and use large language models to automatically generate meani… more
Type of submission: Hands-on workshop (1.5 hrs to 3 hrs)
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VN
Vikram Nayak Live Wireframing: Lean BI using AIAbout the session: This talk explores dashboard wireframes as lightweight thinking tools that enable rapid iteration before any technical implementation begins. Like Lean Startup’s “build-measure-learn” loop, but for dashboards - wireframe, review, refine, then build. more
Type of submission: 30 mins talk
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MA
Marripudi Amaresh Building Data Co‑Pilots that work!Building Data Co‑Pilots is a session on how to use agentic LLMs to reliably answer complex business questions by aggregating data across many sources—warehouse/lakehouse tables, metrics/semantic layers, feature stores, logs, and knowledge bases. We will walk through the system design that turns a plain‑English question (e.g., “Why did cancellations spike in City X yesterday?”) into an executable … more
Type of submission: 30 mins talk
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pK
prerit Khandelwal From Bottleneck to Self-Serve: How Razorpay Built and Scaled its AI Analyst, DataGaaruAt Razorpay, the growing demand for data & insights was increasing manual dependence, slowing down critical business decisions. This led us to ask a question: “Are chatbots the future of analytics?” Our answer is DataGaaru, a home-grown AI Analyst Assistant that is fundamentally reshaping how we interact with data. Today, it handles over 1,500 queries monthly and has already reclaimed 20% of our … more
Type of submission: 30 mins talk
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Mayur Singal OpenMetadata, Bringing Semantic Understanding to Your Data to Power AIAI can generate code, queries, and dashboards but it still doesn’t understand your data. Without context, lineage, ownership, and business meaning, AI systems remain disconnected from the reality of your enterprise data. more
Type of submission: 30 mins talk
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Aryan Srivastava Extracting Data from Historical Documents: Harnessing LLMs to Parse Format-Variant Tables at ScaleTraditional OCR systems are excellent at recognizing text but fall short in understanding the structure of complex historical documents—particularly tables with varying column arrangements, inconsistent layouts, and annotations. This structural ambiguity often makes it infeasible to extract reliable, machine-readable data from large collections of such documents. more
Type of submission: 30 mins talk
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PB
Prasanna Bhogale Your Causal Parrot might be lying to youThe talk will start with an introduction / motivation about causal inference in general. Humans have excellent causal models of the world, so associational analytics suffice in human businesses because the causal model of the business is implicitly known to everyone involved, thats why - despite almost no one bothering with causal inference - most BI departments are doing just fine. On the other … more
Type of submission: 30 mins talk
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Enterprise-ready & Compliant Synthetic Data Generation for Data GovernanceIn AI driven workflows, a critical bottleneck is the scarcity of realistic training datasets—and strict privacy and security rules forbid using actual customer records as well. To address these challenges, we have developed an agentic synthetic data generation pipeline that produces domain-rich, realistic, and coherent datasets, for training PII (Personally Identifiable Information) and sensitive… more
Type of submission: 15 mins talk
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NB
Nishant Bangarwa Stop Prompting Your Database: Give AI a Metrics Layer InsteadAs AI becomes central to analytics workflows, many teams try to let LLMs query databases directly—only to find that raw tables lack the semantics AI needs. The result: hallucinated KPIs, ambiguous joins, inconsistent definitions, invalid SQL, and costly full-table scans. more
Type of submission: 30 mins talk
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Nishant Bangarwa From Data to Decisions: An End-to-End AI + BI-as-Code WorkshopAI is reshaping how teams explore and reason about data. Business users increasingly expect natural-language answers. Data engineers want analytics they can version, test, and deploy like software. AI researchers need structured semantic models that agents can reliably operate on. To serve all three, analytics must evolve into something more semantic, more interactive, and more code-driven. more
Type of submission: Hands-on workshop (1.5 hrs to 3 hrs)
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ravi balgi BOF - Stories and Guides - Data Governance & Security Guardrails That Actually WorkAI has augmented and changed how analytics teams ingest data, generate insights, and build decision systems. But as AI-driven analytics becomes more agentic i.e. writing language to SQL, accessing datasets, generating dashboards, and triggering workflows, achieve simple to complex outcomes, the risk surface increases and needs some controls. Poor guardrails can lead to: a) Unauthorized data expos… more
Type of submission: Birds of Feather (BOF) session
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KS
Karthik Shashidhar AI disrupting data vizThis is a BoF (i.e. interactive, round table) session bringing together data visualization and AI practitioners, discussing about how AI is in the process of upending data visualization. more
Type of submission: Birds of Feather (BOF) session
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AT
Aman Taneja Presenter Shaping India’s AI regulations: A dialogue on MeitY’s draft IT Rules on Synthetic ContentBackground note - Shaping India’s AI regulation: a dialogue on MeitY’s draft IT Rules on synthetic content more
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