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Available On-Demand - This webinar has been recorded and is now available for download.

Building Reliable Data and AI Systems

Webinar Speaker: James Kobielus, Senior Research Director, Data Management

Date: Wednesday, April 24, 2024

Time: 9:00 a.m. PT / 12:00 p.m. ET

Modern enterprises run on artificial intelligence (AI), and AI’s performance depends on the underlying machine learning (ML) models being built and trained on reliable, high-quality data.

AI/ML developers must ensure that low-quality data doesn’t produce models that perform poorly. A key technique for addressing this “garbage in, garbage out” problem is to proactively detect data reliability, integrity, and quality issues before they wreak havoc on an AI/ML model’s accuracy and performance. Collaboration among data engineers, data scientists, and business stakeholders can help enterprises identify and resolve data quality issues faster. Also helpful: Centralizing data lineage tracking, monitoring data quality metrics, and ensuring data compliance.

Join us to hear James Kobielus, TDWI senior research director, engage with Monte Carlo’s Scott O’Leary and an expert from Databricks in a panel discussion that will explore:

  • The challenges organizations face ensuring high-quality data for AI/ML models
  • How ensuring that data is of high quality contributes to the reliability of AI/ML models
  • How organizations should strengthen data governance to ensure data quality in their AI/ML systems
  • The collaboration platforms, tools, and methodologies data engineers, data scientists, and business stakeholders can use to improve data quality and AI/ML model accuracy

Guest Speakers

Saurabh Shukla
Senior Specialist Solution Architect

Saurabh Shukla is a Senior Specialist Solution Architect at Databricks. Databricks is a global data, analytics, and artificial intelligence company. Saurabh has over 15 years of experience and has successfully tackled real-world business challenges using analytics, big data solutions, and cutting-edge technologies in Machine Learning (ML) and Artificial Intelligence (AI).

At Databricks, Saurabh uses his expertise to architect robust data lakes, implement best practices for data management, and lead data teams toward pioneering solutions. He is passionate about developing advanced data applications that drive business value and innovation. Saurabh has gained broad industry knowledge spanning healthcare, retail, and finance, working with various organizations to harness the power of data. Saurabh holds a Master's degree in Data Science from IU Bloomington.

Scott O’Leary
Senior Sales Engineer
Monte Carlo Data

Scott O’Leary is a Senior Sales Engineer at Monte Carlo Data, a data observability platform that enables teams to detect, triage and resolve data issues across their entire data stack. Scott was the first sales hire at Monte Carlo, helping onboard their first 50+ customers and he continues to help both new and existing customers use Monte Carlo to proactively manage data quality. Before Monte Carlo, Scott spent 4 years helping scale Segment, a customer data platform company acquired by Twilio in 2021. Prior to that, Scott focused on data and mobile product strategy at adtech firm MediaMath, helping advertisers use data to better target, measure and optimize their campaigns.

James Kobielus

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