Across all Design and Make industries, a confluence of important technologies drives the hallmarks of digital transformation: improved productivity, innovation, and customer experience.
Near the top of that list of technologies are different forms of artificial intelligence (AI), including generative AI and machine learning. AI powers predictive analytics, which can anticipate disruptions to the supply chain and adjust accordingly or calculate predictive maintenance for machinery to avoid downtime. AI helps to automate processes, whether that’s the robotic finishing of drywall on a building site or the automated media production scheduling that dynamically updates any changes. AI chatbots, for example, provide customer service, while internal AI’s data analysis improves informed decision making.
Big data and analytics are paramount to a digital transformation, and the Internet of Things (IoT) enables the constant and pervasive data collection that fuels pattern discovery and insights revealed by AI data analytics. Whether it’s the IoT data from building sensors that feed into a BIM digital twin or the assembly line machine data that powers a smart factory’s operation, IoT devices connect real-time operations data to the cloud for near-instant metrics and insights.
Pairing all that data with cloud computing is a must for digital transformation. A cloud platform centralizes all data insights in a single place, empowering employees to collaborate well with teammates around the world.
All of these technologies connect entire work ecosystems together, from automated processes to teammates and vendors working seamlessly together, so that businesses can do their work faster, more efficiently, and more collaboratively, and make better products while producing less waste.