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Date & Time

May 7, 2026 9:30 PM IST

Venue

On-Demand

Garbage In, Hallucinations Out: Fixing AI with Better Data Engineering

AI systems do not fail because of models alone. They fail because of poor data. Inconsistent, incomplete, or outdated data leads to hallucinations, unreliable outputs, and loss of trust at scale. As enterprises move from AI pilots to production, data quality becomes the most critical factor for success.

This webinar explored how weak data foundations impact AI performance and how structured data engineering practices fix it by enabling reliable data pipelines, reducing hallucinations, and building AI systems that deliver consistent, enterprise-grade outcomes.

Webinar Highlights

  • Root causes of AI hallucinations, including confabulation, factual errors, and context drift
  • Six key dimensions of data quality: accuracy, completeness, consistency, timeliness, validity, and uniqueness
  • Real-world AI failures across legal, healthcare, and retail sectors
  • Practical solutions such as data profiling, automated quality checks, RAG architectures, and RLHF
  • Governance frameworks with data ownership, quality SLAs, and data drift monitoring

This webinar demonstrated how stronger data engineering practices can improve AI reliability, reduce risk, and drive measurable outcomes.

Register Now

Our Presenters

Laxminarayanan G

Laxminarayanan G
Speakers

AI & Gen AI Leader – AI Transformation Advisor

Ramana Nagarajan Pic

Ramana Nagarajan
Speakers

Data Strategist

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      Laxminarayanan

      Laxminarayanan G

      AI & Gen AI Leader - AI Transformation Advisor

      Laxminarayanan G. is a strategic AI and Generative AI leader with over 20 years of experience driving large-scale digital transformation across BFSI, CPG, and technology sectors. He has led AI-led enterprise transformation initiatives for Fortune 500 organizations, delivering measurable business impact exceeding $20M.

      A two-time TEDx speaker and trusted advisor to premier institutions such as ISRO and leading IIMs, Laxmi specializes in designing AI transformation roadmaps, operationalizing GenAI strategies, and aligning advanced analytics with business outcomes.

      Ramana Nagarajan Pic

      Ramana Nagarajan

      Data Strategist

      Ramana Nagarajan is a seasoned Data Strategist with nearly two decades of experience in data and analytics, specializing in end-to-end enterprise data solutions across design, architecture, engineering, governance, and privacy. With deep expertise in multi-cloud environments including Azure, AWS, and GCP, he focuses on building data trust through strong data quality practices and Master Data Management. He has delivered high-impact, data-driven outcomes across Manufacturing, Healthcare, BFSI, Telecom, Geophysical, and Retail.