Thought Leadership in AI & Digital Transformation

Transforming CPG & Retail with Data & AI

Empowering CXOs in Retail and Consumer Goods to navigate digital transformation through strategic AI adoption, data-driven decision making, and scalable technology solutions that deliver measurable business impact.

Latest AI Signals for CXOs

Weekly Intelligence for Retail & CPG Leaders

Curated AI signals tailored for each executive role, updated every Saturday

Chief Information Officer

Week of 2026-05-25

5 Signals

#1Enterprise Applications

SAP Sapphire 2026: Business AI Platform + 200 Joule Agents Power the Autonomous Enterprise

At Sapphire 2026 SAP launched the Business AI Platform underpinning an Autonomous Enterprise vision spanning five domains: Finance, Spend, Supply Chain, HCM, CX. SAP committed to deliver 200+ Joule Agents and 50+ assistants in the coming months, with Anthropic Claude as a foundation model.

#2AI/ML Deployment

Microsoft Copilot Studio: Computer-Using Agents GA May 13, A2A Communication GA, MCP Remote Servers

Microsoft made computer-using agents (CUA) generally available in Copilot Studio on May 13, 2026, alongside GA of agent-to-agent (A2A) communication and remote Model Context Protocol (MCP) server support. Microsoft cites orchestration evaluation performance up ~20% and net token consumption down ~50%.

#3Digital Commerce

Salesforce Agentforce Commerce + Salesforce/Google Cloud Cross-Platform Agents

Salesforce unveiled Agentforce Commerce as a unified platform spanning digital commerce, POS and order management — citing 119% retail traffic growth from AI assistants. The Salesforce/Google Cloud expansion enables agents to execute end-to-end workflows across both platforms, including Slack and Workspace.

Latest Insights

Explore thought leadership articles on AI, digital transformation, and technology innovation in retail and CPG.

Your AI agents will not scale until feedback becomes infrastructure

Most enterprise AI pilots still treat feedback like a comment box. A user corrects an output A team tweaks a prompt Everyone feels the system is learning.

Read on Medium

You Can Outsource Thinking…. but Cannot Outsource Understanding.

In my last post, I argued that the real engineering challenge of this era is not picking the right model. It is building systems where agents can act reliably, with appropriate autonomy, in real business environments.

Read on Medium

As the LLM Race Settles, the Real Battle Moves to Agentic Product Engineering

For the last two years, much of the AI conversation has focused on the model itself: bigger context windows, better reasoning, faster inference, and benchmark wins. That phase is not over, but it is no longer the whole story.

Read on Medium

Subscribe to Newsletter

Get weekly insights on Digital Transformation and AI applications in CPG and Retail Industry. Personalize your newsletter by sharing your interests below.