Trusted Data Summit 2025

That’s a wrap on Trusted Data Summit 2025!Anand Rao (VP of Products & Marketing, Datagaps) closes the summit with a powerful recap of the day’s biggest ideas and a clear call to action: move from reactive data fixes → proactive, agentic trust at enterprise scale.Theme of TDS 2025: Proactive Trusted Scale - Test, predict, and prevent with Agentic AI.Day highlights:🔹 Naren’s opening vision + Gartner insights on agent adoption & trust gaps🔹 Dinesh Chandrasekhar’s keynote: Building trust in Agentic AI through data-centric validation🔹 13 world-class speakers across 3 tracks (ETL, BI Validation, Data Quality & Observability)🔹 Real customer stories from NYU, ZS Associates, and global enterprises🔹 Live demos of end-to-end automation: ETL → BI → Observability stitched together🔹 Practical frameworks you can implement tomorrow (Data Reliability by Design, 5 Pillars of Observability, etc.)1000+ data leaders from 20+ countries came together for one purpose: to make data something your business can truly count on.Thank you for being part of Trusted Data Summit 2025.See you next year – bigger, bolder, and even more proactive.Contact: [email protected] to bring proactive trust to your data stack?Request a free demo

Traditional data validation is dead.Harsh Rajgoite (10+ years in data engineering) shows why modern enterprises are replacing reactive testing with full-spectrum Data Observability built on the 5 pillars: Freshness, Volume, Schema, Lineage, and Quality.This session is your complete playbook for eliminating data downtime and building unbreakable trust at scale.What you’ll learn:🔹 Why 80%+ of data issues go undetected with traditional validation🔹 The 5 Pillars of Observability explained with real enterprise examples🔹 Freshness & Volume: Catch pipeline breaks before they hit dashboards🔹 Schema & Lineage: Prevent silent data drift and trace root cause in seconds🔹 Quality: Move from batch checks → continuous, intelligent anomaly detection🔹 Architectural patterns: Real-time monitoring, automated alerting, self-healing pipelines🔹 Proven ROI: Faster incident resolution, higher analytics confidence, zero surprises🔹 Step-by-step roadmap to evolve from validation → full observabilityIf you’re still firefighting data issues instead of preventing them, this session will change your entire data strategy.Ready to make data downtime a thing of the past?Request a free demo → Contact: [email protected]

Bad data isn’t just an IT problem – it’s a multi-million-dollar business killer hiding in plain sight.Sowjanya Bobbadi (Director of Business Analytics & Client Partner at iLink Digital) reveals the shocking real-world costs of manual BI validation and why full BI automation has become non-negotiable in 2025.Backed by live customer examples and before/after screenshots, this session exposes:🔹 The true financial impact of bad data (lost revenue, regulatory fines, eroded trust)🔹 How manual screenshot-based validation silently destroys productivity and accuracy🔹 Real client story: From 3-week manual regression cycles → fully automated in days🔹 Pixel-perfect visual comparison, text layout validation, colour & font consistency🔹 Why even tiny visual discrepancies break executive trust in dashboards🔹 The ROI of BI automation: 70-90% effort reduction, zero defects, faster releases🔹 Live demo of Datagaps BI Validator catching issues no human ever wouldIf your organization still relies on manual BI testing or screenshots – this session will change everything.Ready to eliminate the hidden cost of bad data forever?Request a free demo

NYU's 6-Year Data Quality Journey with Datagaps - Trusted Data Summit 2025How does one of the world’s largest private universities (NYU) maintain data trust across 1000s of complex ETL pipelines serving students, faculty, research, finance, and administration?Sreelatha Nayar (Senior Database Engineer & Project Lead) and Kasturi Sen (Data Architecture & Integration Services) share NYU’s real 6-year transformation story using the full Datagaps DataOps suite.From legacy on-prem Informatica → modern Snowflake cloud migrations, NYU achieved:🔹 100% automated regression testing across hybrid environments🔹 Zero-downtime migrations with full data reconciliation🔹 Intelligent anomaly detection & self-healing validations🔹 Drastic reduction in manual effort and post-release defects🔹 Scalable data quality governance across hundreds of critical pipelinesThis is NOT a sales pitch – it’s an open, detailed walkthrough of real challenges, lessons learned, and measurable outcomes from one of the most complex higher-education data environments on the planet. Contact: [email protected] the same zero-risk ETL migrations NYU achieved?Request a free demo

Raju B. Rajuladevi, (VP & Head of Technical Delivery – Data Analytics & AI at Stravi) presents a powerful, completely vendor-neutral framework that embeds QA and QC across the entire modern data lifecycle – from source to dashboard to continuous monitoring.This is the same battle-tested architecture used in Tier-1 BFSI, utilities, healthcare, and manufacturing environments to achieve proactive, measurable data trust at enterprise scale.What you’ll get in this session:🔹 Why traditional “test at the end” fails in 2025 data ecosystems🔹 The unified Data Reliability by Design framework (ETL + BI + Observability in one architecture)🔹 Core principles & practices that work with ANY tool/stack (Snowflake, Databricks, Power BI, Tableau, dbt, Great Expectations – you name it)🔹 Shift-left quality: Automated validation from extraction → transformation → visualisation🔹 Real-world BFSI examples: BCBS 239 compliance, capital adequacy ratios, LCR, NSFR🔹 How to move from reactive firefighting → proactive, automated reliability🔹 Practical artefacts, KPIs, and governance models you can implement tomorrowIf you’re a CDO, Head of Data Engineering, or Data Governance leader – this is your blueprint for building unbreakable trust in data.Ready to eliminate production data from your lower environments forever? Request a free demoContact: [email protected]

How We Automated Power BI Testing at Scale - Trusted Data Summit 2025Real customer story from ZS Associates (global healthcare consulting leader) on how they went from painful manual Power BI validation → fully automated, enterprise-scale testing with Datagaps BI Validator in just one year.Biswadeep Ghosh (Principal, ZS Pune) openly shares the complete journey – the problem, discovery, POC, rollout, challenges, results, and why Datagaps is now core to their digital & data operations excellence practice.Key highlights you’ll hear straight from ZS:🔹 Manual Power BI report validation was slow, error-prone and unscalable🔹 Discovered Datagaps via Google + ChatGPT → requested demo → 2-month POC🔹 Close collaboration with Datagaps team: training, cloud setup, architecture alignment🔹 Scaled rapidly across multiple healthcare client engagements🔹 Achieved 10-15% overall productivity gain + dramatically improved quality & consistency🔹 Anomaly detection & trend analysis features took quality “one step ahead”🔹 Faster turnaround, higher innovation, delighted clients🔹 “Datagaps truly helps us look good in front of our clients”If you’re struggling with manual BI testing or wondering how to operationalise automation at enterprise scale – this 10-minute case study is pure gold. Full Trusted Data Summit 2025 playlist – Watch VideosReady to eliminate production data from your lower environments forever?Request a free demo | Contact: [email protected]

Non-production environments are now the #1 compliance blind spot – and regulators are hitting companies with $80M+ fines for breaches originating in dev/test systems.Pradeep Dhonipuri | Datagaps reveals the exact strategies global enterprises are using to eliminate real customer data from lower environments while staying fully compliant and accelerating innovation.This session is pure gold if you’re still copying production data into dev/test/QA.What yoWhat you’ll learn:🔹 Why traditional masking is no longer enough (and when synthetic data is mandatory)🔹 Real $80M breach example from a major financial institution🔹 How GDPR, CCPA, HIPAA now apply equally to non-prod – no exceptions🔹 Masking vs Synthetic: When to use which (with decision framework)🔹 AI-powered synthetic data generation that preserves referential integrity & statistical realism🔹 Live customer stories: Moving from 100% masking → “synthetic-first” strategy🔹 Testing tomorrow’s threats today: AML, fraud patterns, adversarial AI resilience🔹 How synthetic data lets you inject bad/biased data to stress-test AI models safelyWalk away with a complete roadmap to make your test data 100% compliant, realistic, and future-proof.u’ll learn:🔹 Why traditional masking is no longer enough (and when synthetic data is mandatory)🔹 Real $80M breach example from a major financial institution🔹 How GDPR, CCPA, HIPAA now apply equally to non-prod – no exceptions🔹 Masking vs Synthetic: When to use which (with decision framework)🔹 AI-powered synthetic data generation that preserves referential integrity & statistical realism🔹 Live customer stories: Moving from 100% masking → “synthetic-first” strategy🔹 Testing tomorrow’s threats today: AML, fraud patterns, adversarial AI resilience🔹 How synthetic data lets you inject bad/biased data to stress-test AI models safelyWalk away with a complete roadmap to make your test data 100% compliant, realistic, and future-proof.Ready to eliminate production data from your lower environments forever?Request a free demo → https://www.datagaps.com/request-a-demo/Contact: [email protected]

In an era where AI failures make headlines, how do enterprises actually build compliant, safe, and explainable AI in production?Thadi Murali (ex-BNY Mellon, Wells Fargo, Deloitte) – Operational AI, Data & Technology Risk Executive with 20+ years – delivers a battle-tested, data-centric compliance framework aligned with NIST AI RMF, Basel, and emerging global regulations.Must-watch highlights:🔹 The 5 biggest AI risks that keep CROs up at night (and how data controls neutralise them)🔹 Data-Centric vs Model-Centric governance – why data is the new control point🔹 Practical 10-pillar framework: DLP, redaction, logging, metadata, testing, drift monitoring & more🔹 How to implement NIST-aligned logging and AI-assisted testing at scale🔹 Real examples: PII detection, prompt injection prevention, hallucination controls🔹 When and how to apply safety, privacy, transparency & security controls across ideation → pilot → production🔹 Why you must reassess risk at every gate (and how most companies get this wrong)If you’re responsible for AI governance, data governance, model risk, or regulatory compliance – this session is your roadmap for 2026.Need to operationalise this framework in your organisation?Datagaps DataOps Suite --> Request a free demo Contact: [email protected]

Abhishek Waghle, Assistant VP – Quality & Performance at  CitiusTech  Healthcare, shows how leading organizations are evolving BI from pretty charts → embedded, real-time, AI-powered insights that directly drive measurable business outcomes.Key takeaways from this game-changing session:🔹 Why most dashboards today are “rear-view mirrors” and fail to create impact🔹 The journey from Descriptive → Diagnostic → Predictive → Prescriptive analytics🔹 Real-world healthcare examples: turning data into proactive patient care & revenue protection🔹 How AI + Natural Language Query is making insights accessible to non-technical users🔹 Embedding actionable intelligence directly into workflows (not just another tab)🔹 The role of real-time data in gaining competitive advantage in 2025 and beyond🔹 Live Q&A: “What role does AI play in turning dashboards into true decision engines?”If you’re still building dashboards the 2015 way, this session will change how you think about BI forever.Ready to move your BI beyond dashboards?BI Validator – Try it FREE for 14 days

Jatin Molri, Sr. VP of Sales at Testingxperts  shares real-world results from deploying Agentic AI inside agile data teams – and the dramatic impact on speed, quality, and cost. Key takeaways from this must-watch session:The evolution from Waterfall → Agile → Agentic DataOpsReal metrics: 20-25% effort reduction in the first sprint → up to 60%+ with maturity How semi-autonomous agents shift-left data quality, auto-generate tests, self-heal failures, and accelerate delivery Live examples of multi-agent workflows in ETL development, testing, and BI validationBiggest challenges (and solutions) when embedding agents into existing agile ceremoniesWhy Agentic AI doesn’t replace testers – it elevates themLessons learned from dozens of enterprise implementationsWhether you’re a data engineer, QA lead, or CDO, this is the blueprint for making Agentic AI work inside real agile teams – today.Request a free demo : Datagaps DataOps Suite

The highly anticipated keynote from Trusted Data Summit 2025 is here!Dinesh Chandrasekhar, Chief Analyst at Stratola LLC (USA), delivers a no-nonsense, actionable talk on why trust remains the #1 blocker for enterprise Agentic AI adoption in 2025 – and exactly how to fix it with data-centric validation and observability.Despite all the hype declaring “2025 = Year of Agents”, real adoption sits at only ~15%. The reason? A massive trust crisis caused by invisible data access, unverifiable logic, and zero accountability when agents go wrong.Key insights you’ll get:🔹 Why hallucinations are NOT the real problem – data observability gaps are🔹 The 4-stage Agent Data Lifecycle where trust breaks today🔹 The Observable Agent Stack: a practical 4-layer architecture you can implement now🔹 How to extend your existing ETL validation, data quality, and reconciliation tools to govern agents🔹 Real-time validation gates, feedback loops, behavioral drift monitoring, and DevOps for agents🔹 Why “If you can’t observe how your agents handle data, you can’t trust what they tell your business”This is the roadmap enterprises need to move Agentic AI from demo to production with confidence.🔔 Subscribe and hit the bell – full Trusted Data Summit 2025 playlist dropping daily!Want to see the exact tools that make this possible? Request a free demo Contact: [email protected] Out Full Videos - Trusted Data Summit 2025#AgenticAI #DataTrust #AIAgents #DataObservability #GenAI #LLMTesting #DataValidation #EnterpriseAI #AIin2025 #DataGovernance #ObservableAgents #Stratola #TrustedDataSummit #TrustedDataSummit2025

Welcome to the Trusted Data Summit 2025 – the premier global event on building proactive, unbreakable trust in data, analytics, and Agentic AI.CEO & Founder Narendar Yalamanchilli ,Opens the summit with a powerful vision: moving from data-driven to truly AI-powered enterprises while solving the trust crisis in Agentic & Generative AI. 1000+ attendees from 20+ countries13 world-class speakers from BFSI, Pharma, universities & global enterprises3 parallel tracks all daySpecial Keynote by Dinesh Chandrasekhar, Chief Analyst, Stratola LLC (USA)Tracks running all day:Track 1: ETL Testing, Reconciliation & Pipeline AutomationTrack 2: Business Intelligence (BI) Validation & Report TrustTrack 3: Data Quality Monitoring, Observability & Anomaly DetectionWant to see the platform in action? Request a free demo | Contact: [email protected]