Show Notes
At AWS re:Invent in Las Vegas, I had the chance to catch up with Masooma Naqvi, Vice President of Digital Services at HP, to talk about one of the most pressing challenges facing enterprises today - managing increasingly complex IT environments while still delivering exceptional employee experiences. The shift from office-first to remote, hybrid, and now partial return-to-office has permanently raised expectations. Employees expect technology to work seamlessly wherever they are, while IT leaders are under constant pressure to control costs and reduce downtime. “The only thing that’s consistent besides change is that employee expectations keep getting higher and higher on the tools they need to get work done.” Masooma’s role sits right at the intersection of those pressures. Inside Partnering is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber.
Inside HP’s Workforce Experience Platform At the center of HP’s digital services portfolio is its Workforce Experience Platform (WXP). The platform spans device telemetry, collaboration tools, network data, and application insights to help IT teams understand what is happening across their entire estate. “It is really geared toward fleet management of the IT estate - PCs, printers, collaboration equipment, the network - and how we can proactively identify issues and remediate them.” The goal is not visibility for visibility’s sake. It is about proactive action - identifying issues before they impact productivity and resolving them automatically where possible. AI as Interface and Intelligence Engine Masooma described two distinct ways HP applies AI inside WXP. First, AI acts as the conversational interface. CIOs and help desk teams can ask natural-language questions about cost drivers, recurring incidents, and optimization opportunities. “We use AI as the conversational interface of the platform so CIOs and help desk agents can quickly understand where the biggest issues and costs are.” Second, AI works behind the scenes, analyzing massive volumes of telemetry data across devices to predict and prevent failures. “That’s where AI becomes really powerful - using machine learning and inference to proactively solve issues before they happen.” Predictive Self-Healing at Scale One of the most compelling outcomes of this approach is predictive self-healing. By working with Amazon Web Services and Amazon Bedrock, HP can anticipate recurring issues and deploy fixes automatically. “We can not only identify that an issue might reemerge, but tell you what the appropriate fix is - and in some cases deploy that fix on your behalf.” The impact is measurable - less downtime, lower help desk costs, and better employee experiences across distributed environments. A Platform Built for Partners A recurring theme in the conversation was HP’s partner-first mindset. WXP is designed not just for direct enterprise customers, but also for MSPs and GSIs who wrap their own services and tooling around the platform. “For our partners, we give them these tools so they can wrap services or incremental value around it and better serve their customers.” This approach allows HP to scale across enterprise, mid-market, and SMB segments without relying on heavy customization. What Customers Are Asking for at re:Invent Like nearly every conversation at re:Invent, AI dominated customer discussions - but with a more practical tone than in previous years. “It’s not just a technology anymore. Customers are asking what AI is actually doing for them in terms of optimization and understanding.” Masooma noted a visible shift from proof-of-concepts to real, production-ready solutions across the expo floor, reflecting faster development cycles and maturing AI platforms. Co-Building With Amazon HP’s partnership with AWS spans co-build, co-market, and co-innovation. Beyond using Amazon tools to accelerate development, HP actively feeds enterprise-scale requirements ba
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At Sage FUTURE in San Francisco, I sat down with Dan Miller, EVP of Financials and ERP at Sage, to talk about how Sage is thinking about AI, ecosystem partnerships, and the future of ERP platforms. One of the clearest themes from the conversation was this: finance leaders are not resisting AI. They simply want transparency, accountability, and confidence in the outputs. For partner leaders, ISVs, and ecosystem builders, that creates a very different opportunity than the generic “AI transformation” messaging dominating the market right now. Dan framed it around trust. “What finance and operations professionals really want is confidence in the tools that they’re deploying are doing exactly what they are expected to do.” That requirement shapes how Sage is building both its AI capabilities and its broader partner ecosystem. Inside Partnering is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber.
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