Supply Chain Excellence: Modernizing Technology for Improved Trading Partner Collaboration
Modernizing the technology used in supply chain processes leads to significant improvements in visibility, efficiency, and compliance, ultimately fostering …
Topic: Use Cases
Capital Market Use Cases That Require AI, Digital Twins, and Data Immediacy
As capital markets continue to evolve, the adoption of AI, digital twins, and data immediacy will be critical for firms looking to maintain their competitive …
Baltimore Bridge Collapse: The Urgent Need for Real-Time Supply Chain Interoperability
Interoperability may be the key to enabling real-time supply chain end-to-end visibility, enhanced collaboration, and heightened customer
Generative AI Brings Real-Time Supply Chains Closer to Reality
Embedding Generative AI into supply chains isn't just a technology project, it also requires a profound shift in the way organizations think about creating …
How AI-Powered Omnichannel Communications Optimize Customer Interactions and Engagement
Companies can leverage AI across their communication channels, enabling them to augment (not replace) the role of the human contact center representative.
6 Benefits to Embracing No-Code/Low-Code Enabled Solutions Across the Supply Chain
No-code and low-code solutions used throughout the supply chain empower businesses to integrate data seamlessly, streamline custom workflows, and optimize …
Can Real-Time Analytics Solve the Supply Chain Crisis?
The integration of IoT devices and their real-time data into transportation services offers unprecedented visibility and control over the supply
Machine Learning With Heart
Advances in both computational modeling and machine learning have shown the promise of a clear paradigm shift in personalized medicine. As such, a new research …
Why Voice AI Is Customer Service’s Secret Weapon
Voice AI has significant potential to address some of the most critical pain points for customers in every industry.
RTInsights 2022: A Look Back at the Year’s Top Stories
Major themes that persisted throughout the year included applying analytics to supply chain problems, mainstream use of AI, and infrastructure to access data.