Masooma Naqvi: Co-Building the Future of Enterprise IT with AWS

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 PlatformAt 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 EngineMasooma 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 ScaleOne 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 PartnersA 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:InventLike 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 AmazonHP’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 back into Amazon product teams.“Many of the requirements we have around predictive analytics have come from us into the Bedrock team to say we have to be able to solve these problems.”The collaboration also extends into sovereign data initiatives, particularly for European customers with strict data residency requirements.Product Leadership at Ecosystem ScaleAs a product leader, Masooma plays a critical role in translating customer and partner needs into platform-level capabilities that can scale globally.“We want to build for scale. We don’t want to do a lot of custom work.”That philosophy mirrors AWS’s own approach and helps explain why the partnership continues to deepen.Final TakeawayThis conversation is a clear reminder that successful AI strategies are no longer about experimentation alone. They are about operationalizing intelligence, embedding it into platforms, and enabling partners to deliver measurable outcomes at scale.🎙️ Inside Partnering is a podcast for ecosystem builders, alliance leaders, and the people shaping the future of partnerships.Let’s build the future of partnering - together.📌 If you found this post helpful, would you please consider restacking it and sharing it with your audience? This spreads the word and keeps me interviewing and sharing content that will help you grow your partnership business and career.Thanks for reading Inside Partnering! This post is public so feel free to share it.🎧 Want more conversations like this?💌 Subscribe to get new episodes and behind-the-scenes insights: insidepartnering.substack.comCheck out all 130+ episodes at InsidePartnering.com🔗 Follow Chip on LinkedIn for daily partnership content and guest clipsKnow someone Chip should interview? Send a quick email. This is a public episode. 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