Selmane Sekkai, Director, Analytics Engineering, EMEA, Seeq

Michelle Hart, Senior Product Manager, Seeq

“From Analytics to Intelligence”

How better outcomes come from combining data with expert knowledge, testing, and real-world experience.

Shaista Mallik, Industry Principal, Oil & Gas, Seeq

Matt Sherick, Senior Analytics Engineer, Seeq

Josh Conroy, Vice President, Digital Products & Strategic Alliances, Radix

Seeq’s expanding oil and gas strategy takes center stage in this session, with a look at new upstream and asset health monitoring solutions built to reduce production deferment, optimize artificial lift, and scale analytics across upstream, midstream, downstream, and LNG operations. The presentation also features a compressor reliability example that shows how Seeq can identify lubrication-system degradation months before a critical alarm, explain the issue using transparent AI grounded in engineering context, and turn those insights into a governed maintenance workflow with evidence ready for action in SAP. Together, these examples position Seeq as a platform for combining asset data, packaged templates, and expert-led deployment to drive faster, more reliable operational decisions at scale.

Kyle Miller, Automation Manager, Marathon Pipe Line

Marathon Pipe Line shows how they used Seeq’s full toolkit to scale asset health monitoring across critical centrifugal pumps, combining efficiency modeling, scaling tables, machine learning, and Vantage workflows to focus experts on the changes that matter most. The session follows how Marathon built pump-specific models, tuned training windows and running conditions, and used efficiency deviation signals to surface a real equipment issue that other tools had missed, allowing the team to inspect the pump under controlled downtime before a more costly failure occurred. Framed around both operational reliability and business value, the approach highlights how a single early detection event was worth roughly a quarter of a million dollars, with an estimated annual impact of about $5 million when expanded across the pump fleet.

Dr. Lisa Graham, CEO, Seeq

Dr. Lisa Graham emphasizes the power of Seeq’s growing user community and its role in driving real impact through human-centered AI. Users submit over 188,000 AI prompts and report more than $1B in value created through Seeq.

Case studies from Intel and Energy Transfer demonstrate how Seeq enables productivity gains, energy savings, and automation at scale. Graham reinforces that true change comes from people—not just technology—and previews Seeq’s roadmap, including AI in Teams and executive-focused impact reporting.

Paolo Braiuca, Industry Principal, Pharma, Seeq

Michelle Hart, Product Manager, Seeq

In Q1 2025, Seeq launched a new version of its software specifically developed for use in highly regulated environments. The presentation will describe the new Seeq for Pharma Analytics & AI Suite and how it allows a better integration in GMP environment, fulfilling the needs of pharmaceutical organizations in terms of 21 CFR part 11 and the use of advanced analytics in GMP decision-making

Albert Swalha, Staff OSI PI Engineer, Western Midstream

Western Midstream significantly streamlined regulatory reporting of Saltwater Disposal (SWD) wells by implementing a robust analytics solution using Seeq. Previously, regulatory reporting involved extensive manual Excel workbook preparations, which were labor-intensive and error-prone, consuming nearly 24 hours monthly. Using Seeq’s combined applications—Workbench, Data Lab, and Organizer—they automated data cleansing, analysis, and report generation, reducing monthly effort to only 1-2 hours. This scalable solution improves data accuracy, proactively highlights operational exceptions, and significantly reduces administrative burden, enabling analysts to focus on more strategic tasks.

Jeff Skarda, Digital Solutions Sr. Consultant, Kimberly-Clark

Kimberly-Clark used the Seeq platform entirely rebuild an entire software application used to track waste production during startup that had become obsolete. Leveraging Seeq’s AI Assistant and Seeq’s extensible platform, a new application was developed in weeks that was more advanced, performant, & user friendly than the incumbent.