Predictions 2025: AI Applied (Webinar)

Published 11 February 2025 by Christopher Sayers, Joe Lamming & Malavika Tohani,
AI Applied Webinar

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Executive Summary

Understanding the full potential of AI will be crucial for forward-looking digital strategies in 2025. However, the overwhelming pace of AI innovation makes it challenging for executives to identify actionable use cases and trends.

Join our webinar, where we share Verdantix’s top 10 predictions for the application of AI in 2025 and beyond, offering insights into what organizations and AI solution vendors can expect in the year ahead.

Use this webinar to:

  • Understand market drivers shaping AI adoption and their impact on your business
  • Align your firm's AI strategy with 2025 trends
  • Explore emerging use cases and their application to real-world challenges

Organisations mentioned

About the authors

Christopher Sayers

Senior Manager
Chris is Senior Manager of the Verdantix AI Applied practice. His current research agenda focuses on enterprise AI integration and adoption, AI market trends and agentic AI. Prior to joining the AI Applied team, he was a senior EHS analyst and the Verdantix EHS software market lead. Chris joined Verdantix in 2020 and has previous experience at EY, where he specialized in robotic process automation (RPA). He holds an MEng in Engineering Science from the University of Oxford, with a focus on machine learning and machine vision.

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.

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