Emerging technologies, such as gen AI (artificial intelligence) can help us in many walks of life—including in business. Consider the example of using AI to help with fleet operations, more specifically to reduce fraud and manage fuel. Let’s take a closer look at how this might work. Carter Geotechnical works with construction materials, testing, and inspections and it has recently partnered with RoadFlex, which is a fleet fuel management and purchasing program. Here is how this can help: Leverage fuel cards to control purchases for fuel, DEF fluid, accommodations, and other operational essentials. Manage transactions, while also tracking activity. Take advantage of analytics, recognizing benchmarks, cost-savings opportunities, and how to mitigate risks. Monitor transactions at the pump to ensure security and prevent fraud. Verify the card being used matches the assigned driver and vehicle location. Looking to the future, we will continue to see artificial intelligence used in many areas of both work and life. This is just one example. This begs the question, where do you see artificial intelligence in your business or personal life? How will it help? What are your plans for technology in 2025 and beyond? Share your success stories with…

AI (artificial intelligence) and ML (machine learning) can help with a great many things. One such example is making strength predictions in steel columns to ensure strong and resilient infrastructure—which is much needed in today’s age of growing natural disasters. Concrete-filled steel tube columns are often ideal for building stronger buildings and infrastructure, and now researchers are doing experiments to predict their properties. The challenge is the data is limited. Enter a research team led by Associate Professor Jin-Kook Kim of Seoul National University of Science and Technology, which presented and verified a hybrid machine learning model capable of accurately predicting the axial strength of these columns. The researchers employed a form of generative AI to create a synthetic database. Here is how this can help: Evaluate the performance of the proposed model. Better accuracy, achieving lower error rates across many metrics. Create safer and more efficient designs using these columns. As we look to build cities and infrastructure of the future, we must consider how to do it in a way that is strong and resilient. These structures must stand up to climate change and extreme weather events. Certainly, AI and ML will help pave the way for better building and…