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

  • Webinar
  • Operational Excellence

On-demand

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

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.

 

On this webinar

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. The team’s current research focusses on digital technologies and services that enable industrial operations become safer, efficient and sustainable such as asset maintenance and performance, industrial AI and data management, connected workforce and field service management, process safety and industrial engineering, design and construction. Malavika has over 20 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.