Transforming Field Service Management with Industrial AI: Empowering Public Power Utilities to Do More with Less For North America’s publicly owned utilities (POUs), field service management is the frontline of community trust. Whether it’s restoring power after a storm, maintaining water infrastructure, or responding to emergencies, field crews are the face of reliability and public service. Yet, public utilities are being asked to
1. What is a PEST analysis? A PEST analysis is a framework that helps you scan the external environment of your business and evaluate its impact on your design decisions. It consists of four dimensions: political, economic, social, and technological. Each dimension covers a range of factors that can influence your business, such as laws,
The telecom industry has gone through extensive evolution over the past decade, however 2026 will be a hugely important year for this critical industry, driven by rapid advances in artificial intelligence, sustainability imperatives, digital infrastructure transformation, and a fundamental redesign of the workforce. In this year’s iteration of the IFS trends and predictions, Markus Persson, Global Industry Director, Telecom, explores
A new kind of global race is underway, one that’s not about military might or space exploration, but about energy. From Washington to Beijing, London to Ottawa, countries are competing to become the world’s next energy superpowers. This race is about more than just keeping the lights on; it’s about shaping the future of economies, climate
1. What is Kanban? Kanban is a Japanese word that translates to “signboard” or “card”. It is a method of organizing and controlling work by using visual signals to indicate the status and demand of each task. It can be used in any process that involves multiple steps, such as manufacturing, assembly, or delivery. At
Most industries are undergoing rapid transformation, driven by the accelerating adoption of technologies like Industrial AI, automation, and connected data. But the construction and engineering industry is unique. As 2025 is winding down, we recognize that this sector is standing on the brink of a once-in-a-generation innovation shift. In 2025, the sector saw a fundamental
In 2025, we shared our perspective on what the year ahead might hold for manufacturing. It was framed by urgency, experimentation, and a sense of cautious optimism. Industrial AI, workforce transformation, sustainability, circularity, and supply chain resilience all sat at the center of that outlook. Now, with the benefit of hindsight, it’s clear that these forces did
Pitfall 1: Being too vague or general One of the most common pitfalls of a SWOT analysis is being too vague or general in defining your project and its elements. For example, saying that your project has a “good reputation” or a “high demand” is not very helpful. You need to be more specific and
Large language and generative AI foundation models have been improving by between 30% and 100% every eight months, depending on the metric, with notable gains across comprehension of domain data, reliability, planning, workflow generation, and analytical reasoning. In the workplace today, work is increasingly being offloaded to these models. So far, this has mostly been
2026 will mark the moment when AI stops being the headline and becomes the habit. After years of experimentation and hype, artificial intelligence is quietly embedding itself into the way work gets done. The question is no longer whether AI works, but how well it performs in the background of daily operations. This shift represents maturity. Companies that once
