Solace

After two years of dazzling AI pilots, 2026 is the year businesses face a crucial reality check. It’s now very clear that enterprise-wide applications like agentic AI are in a different league from the quick vines of the burgeoning number of bottom-up one-dimensional AI point solutions. The realization is there: Businesses are already questioning whether…

There is a looming pin that may burst the AI hype bubble in the business world. The issue isn't that the AI models aren't capable. It’s the massive gulf between a prototype built in three days and a secure, robust production system. To survive the transition from experimental pilots to everyday industrial and business use, Shawn McAllister, Chief AI…

Ultimately, the success of agentic AI depends on access to high-quality, real-time data. Mining organisations that get it right stand to gain stronger margins, improved fuel efficiency, and safer operations. 

Real retail success with AI hinges on the quality and speed of the data feeding those AI systems. For AI to deliver on the promises of optimized pricing, flawless supply chains, and personalized customer journeys, it requires a constant, contextual stream of data from every part of the enterprise – from warehouse sensors and supplier systems to in-store…

EDA for agentic AI systems is crucial because it promotes loose coupling, allowing agents to operate independently and communicate asynchronously. This approach prevents the same architectural pitfalls that plagued early microservices, which were characterized by brittle, tightly-coupled, and fragile point-to-point connections. Organizations that embrace…

Digital resilience requires more than just AI models. It calls for an underlying, AI-ready architecture platform capable of real-time data integration and distribution. Without this foundation, businesses risk fragmentation, latency, and limited adaptability to shifting market dynamics.