107 UK energy company Protium is using AVEVA solutions on Azure to measure asset performance and operations data humans are being replaced anytime soon, but our roles will change dramatically. We’ll still make the big decisions, but we’ll do it with far better support: real-time insights, context-rich data and tools that help us act with unprecedent precision. So, would you say companies that don’t embrace industrial intelligence risk falling behind or becoming obsolete? Yes, at multiple levels. On the personal level, professionals who don’t embrace this evolution will become obsolete. At the company level, AVEVA has already made a top-down commitment to embracing industrial intelligence in our products, processes and how we deliver value. Organisations that don’t do that will lose competitiveness and, eventually, become irrelevant. For our customers, the choice is clear: evolve or fall behind. Without industrial intelligence driving operations, they risk ceding market share to competitors who are dramatically more efficient and effective. History proves that when major disruptions arrive, you either pivot or perish. We saw it with the internet; those who hesitated were left behind. AI-driven industrial intelligence presents the same ultimatum. Today’s hesitation is tomorrow’s obsolescence. Here are some mind-blowing facts to marvel at. The pace of technological adoption today isn’t just fast; it’s accelerating at an unprecedented rate. The telephone took 71 years to reach 100 million users, followed by mobile phones at 16 years and the internet at seven. Smartphones compressed the cycle to three years, while Instagram did it in 2.5. Then came TikTok, which needed only nine months, ChatGPT just two months and Threads shattered all records at a mere five days. This dramatic acceleration reveals a simple truth: technology evolves faster than ever, and companies that fail to adapt risk being left behind. What once took decades, now happens in weeks – the future doesn’t wait, and neither should companies when it comes to adopting the concept of industrial intelligence. Another core theme is the ‘ecosystem of ecosystems’. How does this term tie into industrial intelligence? Industrial intelligence thrives on collaboration. Gone are the days of proprietary, isolated systems. Today’s architectures demand openness and interoperability across vendors, platforms, and partners. Cloud and AI are driving disruptive changes. We’re no longer just integrating machines within a factory or plant. We are integrating global enterprises and their supply chains. Customers want a single version of the truth across multiple sites, with hybrid architectures that combine on-premises systems and cloud services. To deliver that, isolated proprietary systems are simply inadequate. We need deep openness and interoperability with partners like Microsoft, Databricks, Snowflake and Photo: Protium/AVEVA INDUSTRIALS & MANUFACTURING
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