Beyond Telemetry:Turning Industrial Equipment Data into Business Value with AI
Abstract
Industrial equipment generates enormous volumes of telemetry data. But collecting data is one thing. Turning it into actionable intelligence that improves operations, reduces costs, and creates customer value is another.
For companies building and operating connected industrial equipment, the real opportunity isn’t simply monitoring machines. It’s understanding how equipment is being used, identifying opportunities to improve performance, and helping customers make better operational decisions.
Join Gary Patterson, COO of BluETT, and Codd AI for a practical discussion on how AI-powered analytics can bridge the gap between raw machine telemetry and business outcomes. Moderated by Piet Loubser, COO at Codd AI.
Using BluETT’s electric terminal trucks as a real-world example, we’ll explore how operational signals can be transformed into meaningful insights about fleet utilization, operating efficiency, and total cost of ownership.
Here is What You'll Learn
Accelerate time to insight
BluETT started with a traditional BI reporting and dashboarding approach but soon realized it was too cumbersome to maintain. They decided to modernize the traditional waterfall BI process switching to conversational AI.
Unlock hidden opportunities
Moving to a more dynamic query and response paradigm allowed BluETT to use AI to identify new metrics such as idle time, underutilized assets, operational bottlenecks, and opportunities to improve fleet productivity.
Delivering greater customer value
Turning equipment data into customer self service insights that help them improve efficiency, reduce costs, and make better fleet decisions.
Navigating the build-versus-buy decision
BluETT’s core focus is equipment innovation and not development and maintenance of AI platforms. This formed the basis for their decision to acquire a solution that they can build on versus building everything from scratch.
Making AI business-aware
AI is powerful but does not have a deep understanding of BluETT’s business. Learn how a contextual semantic foundation connects machine signals with business knowledge to deliver consistent, trusted insights and support proactive recommendations.
Speakers
Gary Patterson
Gary Patterson is a seasoned executive with over 30 years of experience in business intelligence, data analytics, and enterprise technology. He has led large-scale data and analytics initiatives across global organizations, helping translate complex data architectures into actionable business insights.
Gary held senior leadership roles at Capgemini, where he advised Fortune 500 clients on data-driven transformation, and at Dell Technologies Virtustream, where he led the Cloud Big Data practice, driving the adoption of advanced analytics platforms and enterprise data solutions.
Throughout his career, Gary has operated at the intersection of data infrastructure and business value—bridging the gap between technical capabilities and executive decision-making. His experience is directly aligned with Codd AI’s mission to establish a governed semantic foundation for enterprise AI, ensuring consistent, business-accurate insights across modern data and analytics environments.
Ravindra Punuru
Ravindra Punuru is the Founder & CEO of Codd AI, where he is building a context-aware analytics platform that helps enterprises transform complex data into governed, business-ready insights. Previously, Ravindra co-founded Diyotta, a data integration platform that was acquired by ThoughtSpot, where he gained deep experience scaling enterprise data products. With a strong focus on semantic modeling, AI-driven analytics, and governance, he is passionate about bridging the gap between technical data systems and business decision-making.
Piet Loubser
Piet Loubser serves as Chief Operating Officer at Codd AI, Inc where he is responsible for leading all aspects of sales and marketing. His professional career includes more than 30 years in data, analytics and AI building and leading GTM teams at industry leaders such as Business Objects, Informatica, Hortonworks, SymphonyAI, Alation, Paxata and Privacera.