Prior to joining Kalypso, Jordan held roles at AES and PTC, serving clients across a variety of industries. He brings over a decade of experience helping clients drive results from disruptive business models and emerging technology trends like the Internet of Things (IoT), big data, machine learning and artificial intelligence (AI).
Jordan leads Kalypso's Data Science practice and team. He offers his clients an extensive portfolio of experience in a diverse range of industries including consumer products, high tech, industrial, automotive, aerospace and defense. He has a unique perspective on how his clients can enhance their creative aptitude and maximize their return on innovation investments.
Outside of Kalypso
Jordan has a passion for food and wine, an interest in economics and an irresponsible propensity for dangerous snowboarding. Jordan also enjoys spending time with his wife and dachshund, Huey.
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- Bachelor of Science, Western Washington University
Kalypso director of data science Jordan Reynolds told VentureBeat, “Major advancements in autonomous system performance are attributable to model predictive control (MPC), a digital twin methodology that simulates how a complex system will respond to operational inputs and changes in its environment.”
Autonomous systems, on the other hand, can learn how to perform tasks on their own and even adapt to changes in a process or environment, according to Jordan Reynolds, global director of data science at the management consulting firm Kalypso.
Autonomous manufacturing is a big topic in the tire sector, today, as producers seek to embrace digital technologies to transform their production operations. Join Mike Loughran as he learns more about this manufacturing revolution from his guests John Woods, Global Director, EMEA, and Jordan Reynolds, Global Director, Data Science & AI, both from Kalypso, a Rockwell Automation Company.
“Data quality is a paramount necessity in the digital age when building robust digital twins and digital threads,” says Jordan Reynolds, global director of data science at Kalypso. “As volume and variety increase, so do necessities and challenges around data quality. An organization needs a strategy to enhance data quality in a manner that allows digital threads to be created.”
To understand how artificial intelligence is helping employees to transition and adapt within the changing world of work, Digital Journal heard from Jordan Reynolds, Global Director of Data Science, Kalypso.
At Rockwell Automation Fair 2021, Jordan Reynolds, global director of data science at Kalypso (a Rockwell Automation company), gave a presentation on autonomous systems that helped explain how these advanced neural systems, as they’re applied in industry, can be seen as extensions of the PID (proportional-integral-derivative) closed loop control systems with which we’re all familiar.
We’ve merely scratched the surface of the practical applications of these intelligent technologies in broader industries. Below are five concrete functions of AI and ML being used right now to help businesses and their employees regain momentum and stability on the other end of the crisis.