To support your organization as you explore options and identify cost-effective steps in this era of industrial transformation, we’ve gathered learnings and recommendations to help.
We had the privilege of attending the 2024 International Manufacturing Technology Show (IMTS) last week, and we are thrilled about the innovative technologies already supporting business advancement.
Read on to discover the six key lessons learned from manufacturers rethinking their operations for AI and how Microsoft is supporting the factory of the future with Azure’s adaptive cloud approach.
With nearly 130,000 global business and government leaders in attendance, Hannover Messe is the event to showcase innovation in the manufacturing industry. This year, together with our partners and customers, Microsoft showcased how our technology is enabling manufacturers to “Accelerate Industrial Transformation with AI.
We are announcing the private preview of manufacturing data solutions in Fabric and copilot template for factory operations on Azure AI, under the Microsoft Cloud for Manufacturing. These solutions help manufacturers unify their OT and IT data estate and accelerate and scale data transformation for AI on Fabric, our end-to-end analytics SaaS based platform.
There’s much to explore on this topic—that is why we developed A New Era of Industrial Transformation. This series, featuring analysts from Forrester, digs into the changing face of manufacturing, examining the related trends, use cases, and technology leading the way.
If 2023 was the year that governments recognized the potential of technology to tackle some of society’s biggest challenges, then 2024 is the year that governments are putting it to work.
The energy transition takes a global collaborative effort and Microsoft continues to work with energy customers and partners to provide innovative solutions that enable a net-zero carbon economy.
During CES 2024, our customers and partners shared with us their incredibly exciting AI journeys. While we see companies at various stages of AI maturity, they all have one thing in common—they are all looking for cost-effective ways to harness the power of AI to drive value faster in their own businesses.