From analytics and automation through AI, new digital skills and technologies are changing how manufacturers work. Here, we introduce you to Cognizant's digitally-powered, industry-specific capabilities that help transform manufacturing operations and processes.
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.
Between now and 2025, digital technologies focused on the Internet of Things — as well as big data/analytics, cybersecurity and collaboration — are projected to have a maximum impact on manufacturing companies. To accelerate smart manufacturing, we have gathered seven leading practices.
To keep pace with ever-present business and technology change and challenges, manufacturing companies need operating models built with a strong data and analytics foundation. In this white paper, we have gathered some advice on how to suceed with insight driven decision-making.
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.