True business transformation requires more than AI tools. At @MyTotalRetail, @PrashantTweeted explored why rising #AI investment in retail isn’t translating into measurable software delivery improvements. 👉Full report in The Agentic Retail Imperative. bit.ly/3VJltTx

AI shopping agents skip products with messy data. Your catalog isn't uncompetitive, it's invisible. Leaders are moving to a "golden catalog": semantic attributes, automated supplier ingestion, validation before AI sees errors. More in the full report 👇 bit.ly/3VJltTx

🛒For #retail leaders, the hard part isn't launching a conversational experience. It's making sure the architecture underneath can give AI accurate, contextual, trustworthy information to work with. More in The Agentic Retail Imperative report 👉 bit.ly/47iWLMh

Key takeaway from @ItronInc Inspire 26. Meter data management is evolving beyond meter-to-cash into a connected data foundation supporting operations, planning, analytics and customer service. Which team in your utility could do more with the meter data you already collect?

6/6 Which brings us to a clear pattern across all 3 days: Retail transformation is no longer a project with a fixed end state. Want the full breakdown? Download the full report, 📥bit.ly/3VJltTx #AgenticAI #Retail

5/6 Tools alone don’t create value. AI Orchestration and operating models will. The organizations winning with AI are moving to operating models powered by connected data, governance, and intelligent agents working as one.

4/6 So how do you build and ship fast enough to keep up? An AI-native software factory: governance, engineering intelligence, and measurement working together to turn AI investment into real business outcomes.

3/6 But as #AI mediates the interaction between shoppers and brands, one thing matters more than ever: trust. Retailers that own the first-party relationship and the community around it will stay visible when AI intermediates the journey.

2/6 ⚙️If an AI agent can’t understand your catalog, your products don’t exist. Structured, machine-readable, AI-ready data isn’t a nice-to-have anymore. It’s your new storefront.

1/6 First: customer discovery is becoming decision support. Shoppers no longer type keywords. They describe what they need, and AI helps them decide. #Retailers who optimize only for search are optimizing for yesterday’s journey.

0/6 🛒3 days at @MyTotalRetail 2026. 6 key learnings. 1 clear pattern. AI is no longer an emerging capability. The future belongs to retailers that can learn, adapt, and operationalize AI faster than the market changes.

Customer experiences are evolving faster than the data, systems, and delivery models.🛒 Today we're releasing 𝗧𝗵𝗲 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗥𝗲𝘁𝗮𝗶𝗹 𝗜𝗺𝗽𝗲𝗿𝗮𝘁𝗶𝘃𝗲, on what leading retailers are doing differently. 📥Download the full report: bit.ly/3VJltTx

#ItronInspire #Utilities

A week from today, Sean Bredin, from our Energy and Utilities practice will be in Houston for @ItronInc Inspire. Sean will discuss how utilities are turning the data they already have into actionable intelligence they can defend. See the full agenda: tinyurl.com/yfb8ns2m

⚙️A #GCC can be highly efficient and still leave significant value on the table. See how TechBlocks combines AI-native CoEs, AI-augmented pods, automation, and modern engineering practices without relying on headcount as the primary growth lever. bit.ly/4722OET

"The system still works" is becoming a dangerous modernization strategy. For banks, the potential cost is substantial: more than $57 B could be lost by 2028 if modernization falls behind.  See how #TechBlocks engineers the future of financial services: bit.ly/4zjnzrH

6/6 The organizations moving ahead won't just use AI. They will redesign how the enterprise works around it. See where your enterprise is on the #AItransformation journey 👉bit.ly/4i4udMs

5/6 Our three-stage approach is built around that progression: AI Enablement → Tactical AI Augmentation → AI-Native

4/6 At TechBlocks, we see workflow redesign as part of a bigger shift: data, technology architecture, products, engineering practices, and the operating model all need to evolve as AI becomes embedded in the business.