Choosing The Right Data Platform To Solve Your Manufacturing OT And AI Challenges (Webinar)

Published 31 January 2025 by Joe Lamming, Malavika Tohani & Sayanh Alam,
Industrial Data Management Operational Excellence Webinar

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Executive Summary

As you know, the integration of Operational Technology (OT) and Artificial Intelligence (AI) in manufacturing is no easy task.

From tackling your data silos to managing an increased attack surface, there are a lot of challenges to navigate. Data platforms can help - allowing you to acquire, unify and contextualize industrial data more easily - but finding the best-fit solution for your firm adds an additional layer of complexity.

We're here to help! Our upcoming webinar provides an independent, fact-based assessment of commercial industrial data management solutions, as well as how they can solve your pain-points and the criteria to use when selecting one.

Don't miss out on independent insights trusted by over 190,000 professionals

Join us to find out:

  • What an industrial data management platform is and the benefits it delivers.
  • The differences between an industrial data hub, DataOps platform and DataOps ontology (knowledge graph) architectures – and how open-source alternatives factor in.
  • Who the key vendors in the market are, their solution capabilities, and what to consider in your selection process.

Organisations mentioned

About the authors

Joe Lamming

Senior Analyst
Joe is a Senior Analyst in the Verdantix Industrial Transformation practice. His current research agenda covers industrial DataOps, AI/ML analytics and applications of generative AI for industry and enterprise. Prior to joining Verdantix, Joe worked in the consumer electronics industry, where he gained experience in overseas manufacturing, product design and data science. Joe holds an MEng in Mechanical Engineering and Sustainable Energy Systems from the University of Southampton.

Malavika Tohani

Research Director, Industrial Transformation
Malavika leads the Verdantix Industrial Transformation practice. Her current research agenda focuses on digital technologies for Operational Excellence including digital twins and software solutions for industrial risk and asset management. Malavika has over 15 years’ experience in research and strategy consulting. Malavika previously worked at Frost & Sullivan, managing and delivering advisory projects for clients involving expansion, acquisition, benchmarking and product development strategies. Malavika holds a MSc in Economics from Madras School of Economics.

Sayanh Alam

Analyst
Sayanh is an Analyst in the Verdantix Industrial Transformation practice. Prior to joining Verdantix, she completed an MSc in Chemistry with Molecular Physics at Imperial College London. Here, she undertook research in renewable energy, focusing on improving the thermal stability of organic solar cells under manufacturing and operating conditions.

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