Live Webinar: Thursday, July 24, 8am Pacific / 11am Eastern
As enterprises race to deploy AI and agentic systems, one foundational challenge often goes overlooked: the quality of unstructured data. In this fireside chat, two leading voices in data and AI come together to explore why documents, tickets, emails, contracts, and other unstructured assets are both a massive opportunity, and a major risk, when left unmanaged. Whether you’re building intelligent agents, automating knowledge workflows, or scaling GenAI across your organization, this conversation will leave you thinking differently about the data you can’t afford to ignore.
- Recognize the hidden risks and untapped value within unstructured data across enterprise systems.
- Identify key quality challenges—like sensitive information, stale content, and inconsistencies—that hinder AI performance and introduce compliance concerns.
- Implement a two-step framework to monitor, cleanse, and prepare unstructured data for GenAI, RAG, and knowledge management initiatives.
- Unlock insights from support tickets, contracts, call transcripts, and other assets to drive decision-making and operational efficiency.
- Seamlessly embed data quality automation into your existing stack (including Databricks) to accelerate GenAI adoption without adding overhead.
Speakers
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Global Head of Evangelism Ari is Databrick’s Global Head of Evangelism, and a leading influencer in data, AI, and sports analytics. “The Real Moneyball guy”, the popular movie was partly based on Ari’s analytical and scouting experiences innovating Major League Baseball, and later creating the Cubs, Dodgers, and Orioles analytics departments. He is coauthor of “The Data Intelligence Platform for Dummies”, a DataIQ “Top 20 Influencer in AI” 2024, and was President of the worldwide Oracle users group (22,000 members) when Oracle acquired MySQL, Java, and Peoplesoft. Before Databricks, he traveled the world with McLaren Formula 1, assisting the racing strategy team to bring AI models to production. He is also President of the Independent Investigation into the Fate of Raoul Wallenberg, Sweden’s humanitarian hero, leveraging data analytics to find missing prisoners. |
 Vicky Andonova 
GM of Generative AI Products Vicky leads the company’s efforts to bring innovative AI-powered data quality products to market, with a focus on unstructured data. A founding team member, Vicky has spent the past six years pioneering Anomalo’s machine learning capabilities, helping enterprises trust and act on their data. Prior to Anomalo, she was a product leader at Instacart, where she built the company’s experimentation platform and drove initiatives to improve grocery delivery quality. She began her career as a data scientist and engineer focused on machine learning applications in consumer technology. Vicky is passionate about applied AI and the intersection of data infrastructure and product innovation. She holds a BE in Computer Engineering from Columbia University. |
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