Engineering is moving to the center of business strategy, and the organizations pulling ahead are approaching AI, agentic systems, simulation, and governance as one connected shift. In this UST CXO Insights cover story, Chief Operating Officer Gilroy Mathew explores how engineering is evolving, from simulation-native R&D and agentic product development to connected engineering ecosystems built for speed, adaptability, and human oversight. 🔗 bit.ly/4zCUjw0 Also in this issue: • How silicon, software, and AI are converging to reshape engineering. • What happens when AI meets manufacturing and mobility? • How predictive validation helps teams detect issues earlier and make more confident decisions. • The engineering playbook: Four practical moves that connect hardware, software, digital twins, and AI to reduce risk and scale innovation.

If ransomware takes primary systems offline, how will clinicians access critical patient data? For healthcare organizations running Epic, an isolated recovery environment (IRE) on Microsoft Azure can help preserve access during a disruption. But preparing for recovery also means addressing architecture, testing, costs, and operational procedures long before systems go offline. On October 29, experts from Dayton Children's Hospital, Microsoft, and UST will explore: • How to move an Epic IRE from architecture and deployment to testing and recovery runbooks • How pilot-light approaches and Azure consumption optimization can support cost-conscious recovery strategies • Where Microsoft funding pathways may support Epic on Azure initiatives • How a hospital CIO approaches Epic resilience, recovery planning, and operational readiness Register to join the virtual event: bit.ly/4yEhtBr #HealthcareIT #Epic #Ransomware

AI transformation can’t succeed without culture change. Smitha Dunwell, Industry Partner Lead for #AI at @awscloud, explains how to balance innovation with responsibility to create real business value. Watch the film: bit.ly/4yBpA1O

“Our question is, where is the value trapped in the business today, and how can we quickly unlock it?” Kailash Attal, Chief Solutions Officer, breaks down how to set the groundwork for self-funded transformation in your organization. Listen to the full episode to learn how businesses can unlock value in existing operations and reinvest it in modernization and future growth. Available anywhere you listen to podcasts: Spotify: bit.ly/4hQ7807 Apple: apple.co/47XIwg5 YouTube: youtu.be/m9fT9P8K30Q Web: bit.ly/4i4KyzM

The AI era demands a smarter approach to outsourcing. Vaidyanathan Seshan explains how you can evolve your Global Capability Center to enhance intellectual property, differentiate, and accelerate AI-led innovation at scale. Read the article: bit.ly/4ygmUX9 #AI

Legacy systems served their purpose. When the application landscape is in the cloud and SaaS, it’s time to modernize your legacy integration platform too. When it came to update UST’s own systems, our team selected @Workato for three key criteria: ✅The ability to scale with the organization. ✅A low-code approach that could make development accessible to a broader team. ✅An architecture that could support future innovation beyond point-to-point integration. Phase one of the transformation saw our teams execute 268 integrations with zero downtime in a 10-week timeline. Phase two sees Workato connecting AI agents, enterprise systems, and human-facing processes at scale. Explore the impact of a modern integration platform: bit.ly/4zr6BHP

AI can take on the first pass of development, while experienced practitioners remain accountable for what moves forward. UST Codon, our AI workspace for building and changing applications across five major enterprise platforms, applies that approach through a governed delivery process. Developers describe a requirement in plain English, and UST Codon plans the work and assembles a proposed change for human review. In @runtimewire, Kailash Attal, Chief Solutions Officer at UST, explains how Codon supports AI-assisted development with practitioner oversight before changes reach customer approval and deployment. Read more: bit.ly/4zc1RWs #AI

With UST’s innovation lab, Cogstate was able to develop two AI-focused MVPs in just 12 weeks. Now, we’re creating AI solutions, such as a digital avatar, that will support neuropsychologists when they take patient assessments – and remove the noise from the data. Watch the film: bit.ly/4hTbsfh #AI

When an AI assistant started giving radiologists incorrect answers, accuracy among the least experienced professionals fell from about 80% to just under 20%. Automation bias can weaken human review once people learn to trust an automated recommendation. In @cci_compliance, Adnan Masood, Chief AI Architect at UST, examines what this means for human-in-the-loop AI governance: having a person in the process does not show whether they are effectively verifying or challenging the model’s output. Read more about how to evaluate human oversight in AI systems: bit.ly/4rOJd4t #AI

Agentic AI has changed what businesses need from their data. Data lakes and warehouses used to be the answer in an application-driven world, but today’s demands are much more dynamic. Steve Kostyshen, CEO of K2view and data entrepreneur, discusses how enterprises can deliver the data and real-time context enterprise AI needs. Read more: bit.ly/4AMavwB #AI

Take on the future with a partner who can take you further, faster. Reimagine your business with gamechanging AI technology from UST, official sponsor of @MLCricket team @MLCSeattleOrcas 2026.

“If I am asking 30,000+ colleagues and hundreds of the world’s most demanding enterprises to change how they work, we should experience that change first,” shares UST CEO Krishna Sudheendra. That is the thinking behind UST’s “Person Zero” approach. Claude is being applied across our own operations, while delivery patterns, governance models, and value frameworks are tested inside UST before they reach client environments. Transformation advice carries more weight when it comes from experience. Why does this matter to our clients and partners? Because everything we bring to their environment will have been proven in ours first. Read more on this from Krishna’s latest article: bit.ly/3TtjDoP @claudeai

The AI hype cycle is fading, and the real conversation is shifting to "what does this mean for our people?" Hear from Marc Hodes, CIO Advisor and Executive Coach, Le Velo, from UST’s 2026 Ai Innovation forum. #AI

Responsible AI starts with understanding. Heather Dawe and Adnan Masood, in discussion with podcast host Stephanie Rosenfeld, share how people need enough knowledge to assess what an AI system produces, recognize when something is wrong, and decide when human judgment should lead. Without that understanding, policies and controls fall flat. Tune into the episode for more on responsible AI, data readiness, and enterprise adoption; available anywhere where you listen to your podcasts: Spotify: bit.ly/4hDFZxg Apple: apple.co/3TcXCL5 YouTube: bit.ly/3TxbWOt Web: bit.ly/4AA2QBi

AI experimentation alone is not enough. Once you identify a high-value use case, it’s time to pivot toward scaling, operationalization and outcomes. Smitha Dunwell introduces a simple framework for AI success. Discover more: bit.ly/4z7agdX #AI

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: youtu.be/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.