The current challenges that manufacturers face around quality practices, and how the intersection of IoT, cognitive computing and quality management can drive new levels of business value
Handbook. Writing The Modern Customer Support Platform RFP. Say goodbye to legacy. See what you need from your platform to satisfy today's customer.
Everything Technical Leaders Need to Know About Purchasing APIs
How IT teams can keep up with growing talent needs as technology and big data mature
Some of the most common risks, challenges and roadblocks that threaten to derail organizations from executing sweeping digital transformation projects
Automotive firms need to rethink their organizations from the ground up. As the birthplace of traditional production chains, the automotive industry is transitioning from a vehicle-centric view to a state of deep, sustained customer centricity. It is doing this through a process we call Digital Reinvention
This paper explains the importance of cognitive manufacturing while highlighting four fundamental manufacturing applications: asset performance management, process and quality improvement, resource optimization, and supply chain optimization.
Technology and service providers need to prepare for a set of external forces that will impact their markets, their clients and their organization in the coming years. These forces emerge from changing customer demand, shifting industry dynamics, emerging technology and trends, challenges from new (and old) entrants, disruptive business models and geopolitics. Download our e-book to uncover the trends and challenges facing your role as a product manager.
Learn how digital transformation can help your services organization: Improve resource utilization; Increase customer retention...
Understand and plan for the many challenges of digital transformation including how to manage customer expectations, balancing optimization with innovation...