The biggest barrier to AI adoption is trust. @sanderssays explains that as leaders, your dialogue is critical. If AI is framed as a threat, adoption will stall. If it’s framed as something that helps people achieve more and remove limitations, then they will lean in. Read the article: bit.ly/4x6oSsl #AI

What happens to customer loyalty when an AI agent helps decide what to buy and where to buy it? As consumers use AI assistants to discover, compare, and buy products, loyalty benefits can be left out of the decision if agents cannot access rewards, member pricing, shipping perks, or other eligible benefits. In @MyTotalRetail, Gregory Serrago, Global Head of Retail Transformation at UST, explores why retailers need to make loyalty more portable and machine-readable, with consent-based connections between AI agents and loyalty ecosystems. Read more about how retailers can prepare loyalty programs for agentic commerce: bit.ly/3TbRkeC #Retail #AI #ECommerce

AI capabilities are moving faster than many organizations can take full advantage of. Closing that gap requires decisions about data, access, cost, experimentation, measurement, and human judgment. In the latest episode of ctrl+alt+disrupt, Adnan Masood, Chief AI Architect and Lead AI Engineer at UST, and Heather Dawe, Chief Data Scientist and Head of Responsible AI at UST, explore: • Why organizations shouldn’t wait for “perfect” data to get started • Expanding AI access and experimentation beyond development teams • Matching model capabilities and costs to the task • Measuring value through business outcomes and work quality • Retaining the human understanding needed to evaluate AI-generated work Tune into the episode, available anywhere where that listen to your podcasts: Spotify: bit.ly/4hDFZxg Apple: apple.co/3TcXCL5 YouTube: piped.video/K2y0SqDO7DA Web: bit.ly/3V3D6x6

Scaling generative AI past a pilot means getting the foundations right, from data and engineering to deployment, monitoring, and governance. @awscloud Generative AI Competency, reflects our work helping enterprises move AI into production: ✅ Customer success across healthcare, payments, telecommunications, and media ✅ Strong technical and delivery practices ✅ Experience across the full AI lifecycle, including agentic workflows and responsible AI governance ✅ The ability to build on AWS while working with existing enterprise environments For clients, it means independent validation of the experience and capabilities needed to make generative AI work at enterprise scale. 🔗 bit.ly/4yj4mWM

On the field or in the boardroom: building the future is a team effort. Reimagine your business with UST, where technology meets humanity to drive gamechanging impact. Official sponsor of @MLCSeattleOrcas 2026.

What can enterprise leaders get wrong about AI pilots, agents and the work around them? And how can we get back on track? In a new @Business_Chief interview, UST Chief Operating Officer Praveen Prabhakaran looks beyond the technology itself and into the operating decisions that determine whether AI produces something useful, including: • Why some AI pilots may prove a model can generate an output but fail to show improved business outcomes. • The four capabilities companies need to understand and own before putting agents to work. • Why teams end up digitizing processes as-is when they’re aiming to transform how work gets done in the first place. • His “3M” model: machine, method, and manpower, and how it calls on leaders to look beyond the tech to people and operations for AI success. • Why the skills and operating practices around AI will continue to matter through the swings in hype, adoption, and expectations. The full interview gets into the practical questions behind scaling AI, including where enterprises should retain ownership and where human judgment still needs to sit: bit.ly/3UNBqaV

AI’s powerful, but what is it going to cost? Tom Morton, Director of Engineering at @CapitalOne, shares his thoughts on scaling AI agents coming out of the Ai Innovation forum. #EnterpriseAI

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Generative AI systems touch data boundaries, produce content, and increasingly take action through tools. Governance needs to be part of how these systems are built and run. In @InfoWorld, Adnan Masood, PhD., Chief AI Architect at UST, explains how governance by design turns policy into executable controls across development and runtime, from threat modeling and policy as code to runtime controls, lineage, and audit evidence. Explore the approach and take Adnan’s minimum viable governance checklist with you as your team moves a generative AI system into broader production. Read more: bit.ly/4gOEvA1 #AI #GenerativeAI

Organizations that will thrive with AI are not the ones moving fastest. They’re the ones moving thoughtfully – balancing innovation with responsibility, and technology with humanity. Discover a framework for AI success. Discover how: bit.ly/4wZRMdK

As enterprises move agentic AI into production, the integration layer becomes increasingly important. AI agents need connected systems, operational visibility, and clear handoffs to people. Join UST at World of Workato to explore: • How to modernize legacy integrations without disrupting the business • Why phased releases can reduce migration risk • How a modern integration backbone can coordinate AI agents, enterprise systems, and human workflows Plus, chat with our experts at booth #5 to explore UST’s own modernization, which moved 268 integrations across more than 30 systems in 10 weeks with zero downtime. Learn more here: bit.ly/4r123Vz

In conversation with @FortuneIndia, UST CEO Krishna Sudheendra shares how a long-standing philosophy of owning outcomes — not simply delivering services — continues to shape the way UST works today. That approach has been part of UST’s model from the beginning. As AI reshapes service delivery and shifts more risk to services companies, some of our thinking established decades ago is coming full circle. Krishna also discusses what this shift means for domain expertise and the future of the services market. Read the full interview: bit.ly/4vZPYAV

Earlier this year, we shared our intention to bring together two organizations with complementary strengths. Today, that vision becomes reality. UST has officially completed the acquisition of Italdesign. This marks the beginning of a new chapter that brings together Italdesign's nearly 60 years of world-renowned design and engineering expertise with UST's global leadership in digital, engineering, and AI. Together, we’ll help customers navigate increasingly complex challenges with human-centered innovation, combining Italdesign's design excellence with our global technology and engineering capabilities. Just as importantly, this investment reinforces our long-term commitment to Italdesign's people, heritage, and future. We're proud to begin this next chapter together with the @italdesign team. Read more:

Beyond changing how developers write code, AI is reshaping how engineering teams collaborate, review, and ship at every stage of the SDLC. Jack Rawlings, Strategic Partner Lead for EMEA at @GitHub, shares his thoughts from UST’s 2026 Ai Innovation forum. #EnterpriseAI

Frontier AI is broadly available. Industry depth is what determines where it creates value, where it needs guardrails, and where human judgment must remain in control. That is why UST pairs AI capabilities with decades of experience across industries such as healthcare, telecom, and financial services. The goal is not simply to apply intelligence, but to embed it in the workflows and decisions that matter most. The strongest outcomes come from combining frontier AI with deep industry knowledge. For example, our UST-iDEC platform already cuts hardware and silicon validation cycle times by 50–70 percent, compressing standard four-day turnarounds into 48 hours. We’re now integrating Claude as the reasoning layer inside that pipeline: reading chip pinouts and hardware schematics natively, writing and running regression tests that engineers previously scripted by hand, and comparing live edge data against digital twins to flag firmware regressions before they reach the field. Read more from UST CEO Krishna Sudheendra: bit.ly/4hLUzDo @claudeai

Autonomy makes agentic systems useful. Constraints make them safe to run in production. Enterprise teams are moving from assistants that answer questions to software that takes actions. The model is only part of what makes that work. In his latest @InfoWorld article, Adnan Masood, Chief AI Architect at UST, explains how to give agentic systems enough autonomy to be useful while keeping outcomes predictable, from tool contracts and executable policy to verification gates and durable state. Read more: bit.ly/4gFPgTN

How can AI make real changes inside core business systems without losing control, visibility or human accountability? Today, we announced the launch of UST Codon, a governed, AI-native development environment that helps developers turn plain-language requirements into working changes. UST Codon brings development across ServiceNow, SAP, Salesforce, Oracle Fusion, and Workday into one workspace, with UST experts validating every output before it moves through the customer’s existing controls and approval processes. Governance is built-in through controls like policy checks and recorded, reversible actions. In internal deployments, UST Codon accelerated platform development by approximately 50%, with one application built in about a week, compared with an estimated three to four months using the traditional development process. “We are proud to launch UST Codon as a practical step toward making AI more valuable, transparent and accountable in the enterprise software ecosystem,” shares Kailash Attal, UST Chief Solutions Officer. Explore how to move from a plain-language request to a governed, validated build: bit.ly/4gNpME5

“The old services model is going to be dead very soon.” In an interview with In an interview with @FortuneIndia's V Keshavdev, UST CEO Krishna Sudheendra explains how the industry is shifting toward outcome-based models, “where we put risk on the table and share it with our customers. There will be a talent shortage until we upskill our people to where they need to be. Those are the things we need to deal with. But I'm very optimistic about the opportunity. I see it as equal to, or bigger than, the internet.” bit.ly/4vZPYAV

GenCyS is right around the corner, bringing together leaders and experts to explore the innovations in AI and cybersecurity shaping what comes next. Register today for deep-dive technical sessions, strategic leadership discussions, and interactive workshops, alongside opportunities to connect with CISOs, AI researchers, cybersecurity leaders, and industry peers. The top 100 participants from the first Capture-The-Flag round will be competing in person with more complex, real-time challenges. Explore what’s ahead at GenCyS and register today for the online experience: bit.ly/4i0OpQ2