How can industrial companies transform their operations with Internet of Things? To find out status as well as future opportunities, we gathered some experts for a discussion in Stockholm. The conclusion? To gain the real benefits, you need to think bigger than just sticking sensors on your machines.
What do 975 executives across industries in the U.S. and Europe (incl. Sweden and Norway) have to say about the state of AI?
Most modern LEAN oriented manufacturing companies are trained to constantly ask why. This approach derives from the fundamentals of root cause analysis in everyday problem solving. Here, manufacturing expert Anders Rosengren lists a few issues to consider during your IIoT journey.
With the rise of AI, organizations are now beginning to transform themselves into data companies. Instead of simply using data to improve decision-making and drive efficiencies, they are seeking to embed it at the heart of their business to help monetise AI services and create new commercial opportunities. Learn the four key components required to help transform your organisation into a data company.
The emergence of 'data companies' — with data at the very heart of their operations — poses a number of significant challenges for business leaders. Discover the five key considerations for organizations seeking to convert their data into scalable AI services, and create new market opportunities and revenue streams.
Cognizant’s global workforce of engineers, technology experts, and business consultants supports 8 of the top 10 automotive OEMs, 8 of the top 15 industrial manufacturers, and 5 of the top 15 chemical manufacturers. In the Nordics and Baltics, our delivery centers for business process services (BPO) is part of many clients’ digital transformation. Learn more at passionforservices.