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The Infor Analyst Innovation Summit offered a clear view of what operational readiness looks like as agentic AI moves from experimentation into production. The key takeaway was that success depends less on model sophistication than on foundational discipline: shared semantics, documented processes, clean data, and clear delegation and control.
The Cisco AI Summit (Feb. 2026) addressed the accelerating maturity of AI adoption inside enterprises. Leaders across infrastructure, security, design, systems, and geopolitics emphasized that organizations are now moving from exploratory experimentation to a period requiring architectural reinvention, measurable outcomes, and new forms of workforce enablement.
mimik is the first company we've encountered that discusses how to operationalize billions of agents to perform tasks in the physical world, not only within software workflows but also in industrial processes. The company’s core thesis is that the existing cloud-first mobile internet infrastructure is a legacy bottleneck that is unsustainable for the computational, cost, and energy demands of agentic AI. Powered by mimik, DFC-AI seeks to fundamentally reorganize compute distribution by prioritizing the edge.
JDA’s Workforce Management and Warehouse Labor Management software functions are now offered in an integrated manner to drive productivity gains in the warehouse.
A powerful combination of supply chain visibility and global trade management is now available through E2open and its acquisition of Amber Road software.
SAP and Uber Freight are taking on a joint venture to integrate Uber Freight into SAP Logistics Business Network. The goal is to simplify load management and execution by enabling customers to leverage transportation rates from the Uber Freight network of reliable drivers. As a positive “side effect,” better utilization of unused trucks can make a positive impact on environment. For those looking for a convincing reason to go with one supply chain management system or ERP vendor over the other, this might be it.
Multibillion-dollar firms still primarily use spreadsheets for demand forecasting, but this approach leaves a lot of room for enterprise software vendors to displace manual work with solutions better suited for large enterprises, and hence gain significant revenue in this space.