UK Media Event:
What’s next for Artificial Intelligence and Digital Twins?

Advanced technologies like simulation, AI, HPC, machine learning, and data analytics are already transforming modern business operations. Digital twin technology is the next frontier that complements and strengthens these technologies. It uses data streams to create a digital representation of real-world assets, improving collaboration, information access, and decision-making. Digital twins provide valuable insights, helping teams work more efficiently, create better products, reduce waste, conserve energy, assess risk, and achieve breakthroughs. Although digital twin technology has been around since the late 1960s, contemporary advancements in connectivity, data, sensors, and IoT have made it more accurate and cost-effective. Businesses of all sizes now utilize digital twins.

Organizations recognize the importance of leveraging data as a strategic asset in today's competitive digital world. Adopting advanced data and AI strategies enables quick, data-driven decision-making, eliminating costly testing or guesswork. These strategies predict demand, reduce time to market, enhance product safety and security, and minimize waste and energy usage. However, data and AI projects often encounter friction, which have organizational, technological, or financial causes, making it challenging for organizations to succeed. Collecting, organizing, implementing, and streamlining vast amounts of data involve various teams with different capabilities and needs. Despite recent technological advancements, there is still widespread acknowledgment that its full potential has not been realized yet.