Data Quality Is Your Bottleneck: Fix The Foundation Before Scaling AI

Oil and gas companies generate enormous volumes of operational, geological, and production data . Despite this abundance, much of that data remains fragmented , inconsistent , and difficult to trust . Teams often spend a significant portion of their time preparing datasets rather than analyzing them. The result is delayed decision-making, inflated costs, and reduced operational agility. The core complication lies in data quality , data governance , and data readiness . Duplicate records, null values, drift, and structural inconsistencies make it difficult to move quickly from raw data to actionable insight. Asset teams frequently work semi- independently , each rebuilding transformation processes from scratch. Without reliable data foundations, scaling analytics, automation, or advanced modelling becomes difficult and costly. In this episode, I'm in conversation with Shravan Gunda , CEO of Kaarvi , to discuss how a structured approach to data ingestion , anomaly detection , ETL transformation , and data lineage can reduce time-to-insight from weeks to hours. He outlines how upstream teams can standardize workflows , support governance requirements such as SOC 2 , and deploy platforms either on-premises or via SaaS. Clean, trusted data is a prerequisite for accelerating analytics and enabling more advanced digital capabilities. 👤 About the Guest Shravan Gunda is the CEO of Kaarvi , an enterprise data platform focused on data quality, governance, transformation, and observability . He previously worked in senior technology roles supporting national oil companies and has extensive experience managing large-scale industrial datasets across upstream environments. 🌐 Website: Kaarvi.ai 💼 Shravan Gunda on LinkedIn 📊 Download the white paper: Operationalizing Agentic AI Across The Entire Data Life Cycle ⚒️ Additional Tools & Resources 🎬 Go backstage and check out my studio: 🎓Take my one-day digital strategy training course for oil and gas: 🔗 Connect with Me 📘Blog series: 🎧 Podcast: 💼 LinkedIn: 🐦 X: 🎤 Contact for Lectures and Keynotes I speak regularly on these and related topics. Contact me to book a brief call about your upcoming event needs. 👉 ⚠️ Disclaimer The views expressed in this podcast are my own and do not constitute professional advice.

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Data Quality Is Your Bottleneck: Fix The Foundation Before Scaling AI is an episode from Digital Oil and Gas by Geoffrey Cann.

This episode is 35:07 long.

This episode was published on Feb 25, 2026.

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