104 INTERVIEW without reinventing the wheel. On top of that, we’ve created a specialised layer tailored to industrial data – events, time series, documentation and the associated metadata. That contextualisation is critical: poorly contextualised data produces poor AI results. CONNECT is domainspecific – it's built for industrial use cases with a wide range of tools to gather insights and help users act on critical insights from their data. Microsoft Fabric, meanwhile, is a broader platform AVEVA builds upon. In essence, Microsoft provides the infrastructure and AVEVA brings the industrial expertise. The growing demand for interoperability means systems must interact seamlessly. For example, an operational technology (OT) platform improving production efficiency might integrate financial data from SAP. That’s why native connectors are so important. They ensure interoperability without replacing core OT or IT systems, which are each built to solve specific specific business problems. How do you see agentic AI evolving, and what role will it play in industry? Agentic AI refers to systems made up of AI agents. These systems don’t follow a fixed, deterministic sequence of steps. Instead, they use models, often large language models, to reason about what tools they have, what the user wants, and how best to achieve the goal. They adapt and improve over time, without needing to be reprogrammed or redeployed. Static systems need constant updates from developers, whereas agentic systems learn and evolve on their own. With the right guardrails, these systems can be incredibly powerful. What does the next five years have in store for AI and robotics? The future includes personal AI agents and intelligent robotics that blend digital and physical capabilities. During our talk, Dikaiakou and I predicted the imminent arrival of Jetsons-style robotic butlers – with any luck, they’ll do our laundry! I think we’ll each have a little group of AI agents helping us navigate our day, making things easier and more efficient and personalised. Combining the abstract portion of AI with the physical world of automation and robotics could lead to more autonomous systems, such as those found in industrial automation. Simulations can accelerate research and development, and training models can help robots learn tasks in new environments. As hard as it is to forecast the future landscape accurately, one thing I can predict with certainty is that AVEVA and Microsoft will lead, guide, assist and support our industrial partners and customers through every single step of this journey. Watch the interview with Fabio Terezinho and Marianna Dikaiakou to discover how AVEVA and Microsoft are shaping the future of industrial automation with AI-driven innovation: bit.ly/4nvvpZh “ Microsoft provides the infrastructure and AVEVA brings the industrial expertise” Fabio Terezinho speaking at the AVEVA ENABLE EMEA event
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