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Retailers and CPG brands no longer need more channels. They need one commercial operating model that connects customer intent, inventory, fulfillment and service in real time.
Engineering and AI come of age at prostep ivip Symposium 2026
The Symposium showed AI’s shift from concept to deployment in engineering workflows, with domain-specific SLMs emerging as the smarter, cost-efficient alternative to LLMs for PLM and R&D environments
How Agentic AI is rebuilding the experience value chain
As enterprises pursue better customer and employee experiences, Agentic AI moves beyond platform integration to interoperable systems that can reason, act and optimize outcomes
How Agentic AI is reshaping connected commerce
With customer journeys fragmenting, Agentic AI empowers brands to connect data, content and decisions in real time, turning disconnected interactions into more contextual and seamless experiences
Fixing the MarTech stack in the AI era
AI is exposing the limits of fragmented MarTech stacks, creating an opportunity to rethink data, workflows and operating models so marketing teams can focus more on outcomes than tools
Global Capability Centers: The control towers for scaling Agentic AI
The core challenge in Agentic AI is no longer model capability but industrialization, with GCCs rising as the control towers that can scale pilots into governed, production-grade enterprise execution
AI agents and the next frontier of banking: Scaling intelligent experiences
How AI agents are transforming banking from reactive service to intelligent, always-on engagement
From crisis to resilience: Rethinking supply chains in oil and gas
In oil and gas, disruption is no longer episodic; it is structural and resilience now depends on diversification, real-time visibility and faster decision-making across the supply chain
AI is exposing the productivity paradox in modern work, where faster delivery and more activity don’t guarantee better outcomes, as the real constraint is not time but human cognitive capacity
From AI pilots to scale: How workflow-first operating models will define leading enterprises
AI-intrinsic workflows, platform-centric operating models, digital labor and continuous enterprise decision-making are the forces shaping the next generation of AI-powered enterprises
As enterprise platforms converge, competitive advantage shifts from features to control planes that govern authority, execution, intelligence and coordination.
AI in life sciences and healthcare is moving from ambition to execution
In 2026, the real shift is not more AI pilots; it is enterprise-grade execution tied to measurable business and patient outcomes
