Chobani - Sharing data across the enterprise with Seeq

Seeq has revolutionized data visualization at Chobani, allowing for immediate storytelling without the need for external tools like Excel or Power BI. Seeq’s user-friendly interface helps their team communicate data effectively to all levels of the organization, influencing behavior and decision-making among operators and senior leaders.

A notable example of Seeq’s impact is the creation of bar graphs and pie charts, which have saved the facility close to $10,000 to $20,000 per week in one processing area. Additionally, the Seeq AI Assistant has helped new users at Chobani overcome initial barriers, demonstrating the immediate value Seeq provides and the full scope of capabilities it offers.

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Syensqo – Capturing Savings Faster with Seeq

At Syensqo, Seeq enabled the team to consolidate industrial data from various sources, making it easier and faster to find insights and perform calculations. Tasks that once took 10-15 minutes are now automated. The Seeq AI Assistant has made the software more accessible to more users across the organization, enabling more efficient analyses.

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INVISTA – Streamlining onboarding with the Seeq AI Assistant

INVISTA leverages Seeq to monitor processes and equipment, detect anomalies, and share insights across the organization, enabling timely responses and preventing potential failures. Additionally, the Seeq AI Assistant has been instrumental in quickly onboarding new team members and enabling the team to reduce analysis time significantly. By making data analytics accessible to everyone, Seeq supports INVISTA’s vision for data-driven transformation and decision-making.

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CEO Keynote - Conneqt 2025

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.

Conneqt 2025 Keynotes

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    CEO Keynote – Conneqt 2025

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    2025 Customer Awards

Kimberly Clark - Embracing AI Assistants & Add-Ons to Scale Waste Analysis

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.

Conneqt 2025 – Industrial Enterprise Monitoring / AI

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    21:53

    Kimberly Clark – Embracing AI Assistants & Add-Ons to Scale Waste Analysis

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    24:00

    Energy Transfer and the Seeq Ad-VANTAGE

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    28:25

    Eli Lilly & Co – Monitoring by Exception: Transforming Asset Qualification Monitoring Processes

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    29:28

    British Sugar – Unlocking Insights with the Seeq AI Action Assistant

Verdagy - Building a No User Learning Curve Internal Data Analysis Platform

Emily Cole, Sr. Scientist, Verdagy

Verdagy developed a scalable monitoring tool for lab- and pilot-scale electrolyzers that automatically identifies and aggregates polarization curve parameters and summarizes other KPIs such as hydrogen production rate and total uptime metrics. Verdagy successfully implemented the tool across their technical teams to enable rapid results-sharing while maintaining uniform data analysis methodologies. The targeted scope of Verdagy’s tool enables widespread adoption and requires no learning curve to use. ​

Conneqt 2025 – Chemicals

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    Verdagy – Building a No User Learning Curve Internal Data Analysis Platform

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    Nutrien – Enhancing Ammonia Plant Reliability with Seeq

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    Kaneka – Enhancing Polymer Reactor Productivity Using Seeq Analytics

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    Indorama Ventures – Optimizing Data Science Deployment for Velocity

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    Eastman Chemical Company – Machine Learning Analytics: Green is Good

Energy Transfer and the Seeq Ad-VANTAGE

Category: #Conneqt 2025
Industry: #Oil & Gas
Topic: #Gen AI

Trey Morris, Principal Specialist – Operational Data Analytics, Energy Transfer

Patrick Weber, Analytics Engineer, Seeq

Energy Transfer enhanced its operational analytics by implementing Seeq’s Vantage platform, significantly improving predictive maintenance and proactive asset management capabilities across their extensive pipeline network. They replaced reactive monitoring with a flexible, condition-agnostic system that supports real-time operational alerts, machine learning predictions, and anomaly detection. Seeq’s centralized “Vantage Room” improved cross-functional collaboration and provided a unified, reliable source of actionable insights. This solution delivered notable reductions in asset downtime and maintenance costs, increased operational efficiency, and fostered scalable growth to meet evolving operational complexity

Eastman Chemical Company - Machine Learning Analytics: Green is Good

Jack Puryear, Digital Manufacturing Engineer, Eastman Chemical Company

Peyton Piesco, Digital Manufacturing Engineer, Eastman Chemical Company

Eastman Chemical Company is bringing Machine Learning online in manufacturing through joint Data Science, Manufacturing, and Advanced Controls efforts. This session covers the team’s journey to validate and monitor the ML models on live chemical processes using Seeq.