Q1. Could you start by giving us a brief overview of your professional background, particularly focusing on your expertise in the industry?

I’ve spent close to twenty years in enterprise tech—working across cloud, AI, and security. Most of my career has been about helping large global clients modernize their infrastructure, make better use of data, and run secure, scalable operations. In the last few years, I’ve been focused on building partner ecosystems—working with global system integrators and hyperscalers to create joint go-to-market models and cloud governance frameworks. It’s given me a pretty rounded view of how technology and partnerships come together to drive transformation.
  

Q2. How have you seen customer priorities shift across Cloud, Data, and AI in the last 12–18 months—especially in response to GenAI hype and FinOps maturity?

The focus has shifted from merely moving to the cloud to actually deriving value from it. GenAI has sparked considerable excitement, but it has also made customers more aware of the quality, security, and cost of their data ecosystems. Most conversations today are around Modernization, data governance, and how to make AI projects sustainable. So, it’s less about hype and more about disciplined, outcome-driven adoption.  

Q3. Are you seeing a noticeable difference in how fast verticals like BFSI, healthcare, or manufacturing are adopting partner-led cloud or AI solutions?

BFSI continues to be ahead of the curve—using AI for risk modeling, compliance, and customer engagement. Healthcare is now moving quickly, especially around patient data and GenAI for diagnostics. Manufacturing is emerging strongly with predictive maintenance and digital twins, although integration cycles are longer. What’s common across all of them is that partner collaboration is now central to how they execute these programs.  

Q4. In your view, which partner-driven market segments are seeing the fastest growth today within cloud, data, and AI? How has that shifted over the past few years?

The most considerable momentum is around data modernization and applied AI. A few years ago, partners were primarily focused on cloud migrations and cost takeout. Now the growth is in helping customers unify data, build AI-ready platforms, and manage governance. Industry-specific solutions—such as AI for claims processing and fraud analytics—are also scaling rapidly. It’s shifted from infrastructure plays to tangible business outcomes.
  

Q5. What have you found to be the most critical enablers for driving partner-led growth at scale—especially in complex, multi-cloud environments?

It really comes down to co-creation and clarity. The best partnerships have a shared vision, clear monetization paths, and repeatable IP. Marketplace integration has become a big unlock for speed and scalability. On the technical side, interoperability and solid governance frameworks are key to keeping things running smoothly across multi-cloud setups. When those pieces click, growth follows naturally.  

Q6. As partner ecosystems become more central to growth, what kinds of new entrants or adjacent players are influencing the competitive dynamic?

The ecosystem’s getting more interesting. You now see product companies offering services, and service firms launching products. Mid-sized digital and data boutiques are also punching above their weight by driving innovation in GenAI and FinOps. The lines are blurring success is less about who you are and more about the value and speed you bring to customers. Collaboration is the new competition, in a way.  

Q7. If you were an investor looking at companies within the space, what critical question would you pose to their senior management?

I would ask, “How are you turning your AI and data investments into recurring business value?” Many firms can build flashy demos, but few have cracked sustainable monetization or measurable ROI.
I would also examine the extent to which incentives versus genuine customer demand drive their growth. The real winners will be those who turn innovation into predictable, long-term value creation.