Welcome Message - Conneqt 2026

Category: #Conneqt 2026

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.

Conneqt 2026 Keynotes

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  • 1

    09:35

    Welcome Message – Conneqt 2026

  • 2

    24:37

    2026 Customer Awards

  • 3

    33:47

    Analyst Keynote: Market Shaping Decision Architectures

  • 4

    39:04

    CEO Keynote – Conneqt 2026

  • 5

    36:40

    Executive Panel: From Analytics to Intelligence

  • 6

    33:04

    Fireside Chat: From Analytics to EBITDA

  • 7

    1:21:30

    Product Keynote – Conneqt 2026

  • 8

    41:12

    Seeq Champions Panel – Conneqt 2026

Seeq for Oil & Gas - Seeq & Radix

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.

Conneqt 2026 – Oil & Gas

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  • 1

    32:48

    Seeq for Oil & Gas – Seeq & Radix

  • 2

    15:06

    Quantifying Network Capacity and Risk in Crude Oil Gathering Networks Using Monte Carlo Simulation – Marathon Pipeline

  • 3

    Environmental Compliance with Seeq Vantage – Marathon Petroleum

  • 4

    20:55

    Energy Sustainability at Scale – PBF Energy

Two Paths to Automated Reporting: Insight Boards and Agent Builder Reports - International Paper

International Paper shares how they used Seeq Intelligence to turn trusted process analytics into faster, more usable operational insights across mill workflows. The session centers on asset health monitoring and sheet-break investigations, where the team wanted to reduce data movement from Workbench into external tools, preserve context, and deliver views for engineers, mill teams, and leaders. Using Agent Q for exploration, Agent Builder for repeatable reporting, and Insight Boards for quick visibility, they built a more consistent decision workflow and discussed lessons around prompting, repeatability, and expanding to additional use cases.

Conneqt 2026 – Innovating with AI

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  • 1

    28:58

    Two Paths to Automated Reporting: Insight Boards and Agent Builder Reports – International Paper

  • 2

    24:39

    Journey to Intelligent PVC Process with Seeq: From Manual Operations to AI-Driven Excellence – Thai Plastic and Chemicals Public Company Limited (TPC)

  • 3

    21:11

    From Handoffs to Prototypes: Scaling Industrial Analytics with Seeq AI at Honeywell UOP – UOP a Honeywell company

Asset Health Monitoring with Seeq's Entire Arsenal! - Marathon Pipe Line

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.

Conneqt 2026 – Asset Reliability

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  • 1

    21:11

    Asset Health Monitoring with Seeq’s Entire Arsenal! – Marathon Pipe Line

  • 2

    15:22

    Scaling Predictive Equipment Health Using Vibration & Process Data – Indorama Ventures PLC

From Handoffs to Prototypes: Scaling Industrial Analytics with Seeq AI at Honeywell UOP - UOP a Honeywell company

Category: #Conneqt 2026
Industry: #Oil & Gas
Topic: #Gen AI

Louis Lattanzio, Digital Innovation & Implementation Leader, Honeywell UOP

Discover how Honeywell UOP is scaling industrial analytics with Seeq, AI assistants, and Data Lab. In this breakout session, Honeywell explains how they combine decades of process expertise, connected plant data, advanced analytics, and generative AI to help technical service teams develop and deploy tools faster—without relying on traditional coding or lengthy handoffs. Through real-world examples, including catalyst health analysis, live unit monitoring, heat-map generation, data preparation, and Unisim integration, the session shows how AI is helping experts move offline tools online, identify potential process issues earlier, reduce time to value, and deliver better insights to customers. Learn how Honeywell is establishing scalable workflows, version control, guardrails, and collaborative development practices to empower its global service community and turn tribal knowledge into actionable operational intelligence.

Scaling Predictive Equipment Health Using Vibration & Process Data - Indorama Ventures PLC

Rafael Ayllon, Data Analyst, Indorama Ventures PLC

Explore how Indorama Ventures Química Spain is transforming maintenance and operational excellence through scalable analytics, machine learning, and integrated workflows. In this breakout session, the team explains how it combines process data, vibration measurements, Seeq, Power BI, Teams, SharePoint, and Copilot to detect anomalies, monitor assets, diagnose mechanical and process failures, and move from reactive troubleshooting to proactive intervention. The session highlights how automated indicators and standardized asset models reduce hours of manual review, give engineers faster and clearer insights, and create a repeatable digital operating model that can scale across assets, sites, and the broader Indorama Ventures manufacturing network.

Quantifying Network Capacity and Risk in Crude Oil Gathering Networks Using Monte Carlo Simulation - Marathon Pipeline

Andrew Foltz, Project Engineer, Marathon Pipeline

Learn how Seeq Datalab and Monte Carlo simulation can help operators understand pressure behavior across complex crude oil gathering networks, where constantly changing site activity makes traditional capacity analysis difficult. He explains how the approach uses real operating data to model thousands of possible conditions, score bottlenecks, and identify targeted solutions—including drag-reducing agents and variable-speed drives—that reduce high-pressure shutdown risk while preserving throughput. The session highlights practical results, including a roughly 90% reduction in projected high-pressure events, improved producer flexibility, lower chemical usage, and new opportunities to support pipeline forecasting, expansion, and network design.

Asset Health Monitoring with Seeq's Entire Arsenal! - Marathon Pipe Line

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.

Seeq for Oil & Gas - Seeq & Radix

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.

Energy Sustainability at Scale - PBF Energy

Dan Aichinger, Corporate Energy Coordinator, PBF Energy

Kyle Clark, Senior Analytics Engineer, Seeq

In this session, PBF Energy’s Dan Aichinger and Seeq’s Kyle Clark share how they built an enterprise energy sustainability platform that turns complex operational data into real-time KPIs for operators and leaders across six refinery sites. Using Seeq, Datalab, asset trees, and Power BI, they show how the team tied performance to lost profit opportunity, scaled to 337 KPIs across 114 process units and about 4,500 leaf signals, and used AI-assisted development to accelerate delivery and embed energy visibility into daily refinery operations.