What our latest list of Climate Tech Companies to Watch says about this moment. On Monday, we published our 2025 edition of Climate Tech Companies to Watch . This marks the third time we've put the list together, and it's become one of my favorite projects to work on every year. In the journalism world, it's easy to get caught up in the latest news, whether it's a fundraising round, research paper, or startup failure. Curating this list gives our team a chance to take a step back and consider the broader picture. What industries are making progress or lagging behind?

Digital transformation is one of the top priorities for industrial companies. The largest players are already moving in this direction, for many years continuously working to improve production efficiency and launching large-scale optimisation programs. They're called advanced analytics or digital innovation, and at their core, the technology could be summarised under artificial intelligence. In all cases, the efforts to utilise AI models or data analytics systems are part of a bigger digital transformation effort of the progressing companies. In an industrial context, such strategies for cost-saving and process optimisation often start from pilot projects, or top management directives for digital change guide them. In general, changes in processes or investments in capital-intensive and competitive industries require large sums of money. Traditional capital expenditures usually stretch over a long period, so a current financial standing may not allow for a complete physical overhaul of the plants or facilities. These high costs lead to the search for cheaper alternatives.

If you ask in the geek atmosphere, it's very easy to get examples of how Machine Learning is applied in the tech industry. You will get answers like product recommendations, spam filtering, online fraud detections, computer vision, and many others. However, if you ask the same question about the applications in heavy industries, they definitely have to think about it a little bit to give you an answer. In addition, we all know Artificial Intelligence and Machine Learning algorithms are everywhere, we are using them while we use Netflix, Apple's Siri, Amazon's Alexa, Google's Waze, or the weather forecasting app. Therefore, in this article I am going to cover several applications of Artificial Intelligence for heavy industries, in each part, I will also give you examples of actual AI companies delivering that kind of machine learning products.

What great data analysts do--and why every organization needs them.

Over the past 100 years new industries and new ways of working have divided the UK's towns and cities into haves and have-nots. Some have managed to make the transition, while others have been unable to recreate the boom they enjoyed in the early 20th Century. Why have some cities managed to stride ahead, while others have fallen by the wayside? Funding, infrastructure and opportunity all play a part, marking the difference between the places able to adapt and those forced into a cycle of low-paid, low-skilled jobs. In the decades after World War Two, London's economy fell into long-term decline.

Episode summary: Unlike the field of self-driving cars, the fields of construction, mining, agriculture, and other classes of "heavy industry" involve a huge variety of equipment and use-cases that go beyond traveling from A to B. The heavy industry leaders of today are no farther behind automakers in their understanding that AI and automation will be essential for the future of their companies. In this episode, guest Dr. Sam Kherat discusses the applications of AI in heavy industry, including: What type of capabilities and functions are automate-able, and at what level? Dr. Kherat also shines a light on how AI might affect the future of the industry within the next 2-3 years, and in what ways we can expect large equipment to become more autonomous. We'd like to thank RE-WORK for introducing us to Dr. Kherat at their autonomous vehicles conference in San Francisco. Dr. Kherat has expertise in the fields of robotics, autonomous excavation, and mining systems.

If the robot uprising hasn't put Rosie from "The Jetsons" in every home, and it hasn't taken all our paychecks, what does the future really hold? For years, futurists have been warning anyone who will listen about the impending robot uprising. It's 2018 -- so where are all the robots? Although we still don't have robot butlers in every house, small, single-function robots are everywhere. The real question is, where are all the intelligent robots?

Drones have numerous applications in security, inspection, and other major roles at industrial facilities, but in many cases manual control is still the standard. Tel Aviv-based Airobotics aims to automate the process as an alternative to costly and involved human pilots, and has raised 28.5 million to do so. The company's solution is to provide hardware and software focused on needs specific to industry -- this isn't a drone for filming concerts or monitoring brush fires, it's for on-location missions like perimeter patrols and regular safety inspections. Of course, humans do that stuff now for the most part. But if a drone can take temperature readings of vents from 50 feet out, and check all of them every hour, why employ a full-time worker? Well, actually, because at some point you need to have human involvement -- but it doesn't need to be quite so hands-on all the time.