Choosing The Right Data Platform To Solve Your Manufacturing OT And AI Challenges (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.
About the Authors
Joe Lamming
Senior Analyst
Joe is a Senior Analyst and Technical Lead at Verdantix, specializing in AI-first platforms and applications and data management. Combining hands-on development of software an...
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Malavika Tohani
Research Director
Malavika is a Research Director at Verdantix, guiding research that explores how digital technologies and services are reshaping industrial operations to become safer, more ef...
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Sayanh Alam
Analyst
Sayanh is an Analyst at Verdantix specializing in industrial asset management and operational risk management solutions. She advises software vendors and services firms on mar...
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