Ninety-five percent. That is the share of organizations that, according to Veeam’s own research, believe data problems have slowed their progress on artificial intelligence. It is a striking number for an industry that spent the past two years talking almost exclusively about models, chips, and compute. The bottleneck, it turns out, was never the intelligence. It was the data feeding it, and whether anyone could trust that data enough to let an algorithm act on it.

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That statistic is the real backdrop to a leadership appointment announced this week by Veeam Software, the data resilience and security company that brands itself the Data and AI Trust Company. Veeam has named Michelle Graff as Senior Vice President of Global Partners and Channel, putting her in charge of an ecosystem of more than 35,000 partners spanning channel resellers, service providers, distributors, and alliance partners worldwide. On paper, it reads as a routine executive hire. In practice, it is a signal of where technology companies now believe the next phase of enterprise AI adoption will actually be won: not in the data center alone, but through the partners who sit closest to customers grappling with governance, compliance, and recovery.

A Hire That Reveals Where the Real Bottleneck Sits

Graff arrives at Veeam with more than 25 years spent building and scaling partner, channel, and alliance organizations across data protection, cloud, and cybersecurity. Most recently she served as Senior Vice President of Global Partners and Channel Sales at Commvault, where she oversaw partner sales across hyperscalers, managed service providers, resellers, and strategic alliances.

John Jester, Veeam’s Chief Revenue Officer, framed her arrival as a response to that same data-trust gap.

“Partners are deeply rooted in the DNA of Veeam. In a world where 95% of organizations believe data challenges have slowed AI progress, there’s an incredible opportunity for Veeam partners to deliver tangible value to their customers helping them accelerate safe AI at scale,” Jester said. “Michelle has a proven track record of putting partners first and building high-performance ecosystems that create durable advantage for partners and customers. With more than 35,000 partners across the world, her leadership will help us simplify engagement, increase co-sell velocity, and unlock new growth opportunities across the Veeam vast partner community.”

Twenty-Five Years Building the Ecosystems Behind the Ecosystem

What distinguishes Graff’s résumé is less any single title and more the pattern behind it. Before Commvault, she held leadership roles at Securiti AI, and earlier in her career she helped accelerate partner-fueled growth at HashiCorp, Pure Storage, and Palo Alto Networks as each moved from early-stage company to public markets. That is a career spent almost entirely inside the machinery that turns a good product into a company customers can actually reach, a discipline that rarely makes headlines but tends to decide which infrastructure vendors scale and which stall.

There is a quieter thread connecting that history to her new role. Veeam acquired Securiti, the data security and governance company where Graff once worked, in a deal completed last year. The executive now tasked with rallying Veeam’s partner network spent part of her career inside a company that has since become part of Veeam’s own product stack, giving her an unusually direct view of how data governance and channel strategy increasingly overlap.

What ResOps Means for Customers, Not Just Analysts

Graff described her own read on the moment in terms that lean less on sales targets and more on infrastructure philosophy. “The convergence of AI, cybersecurity, and data resilience is one of the most significant shifts of our generation,” Graff said. “As organizations adopt AI and agentic workloads, trusted, resilient data becomes the foundation – driving a ResOps approach that puts resilience at the center of how customers protect, optimize, and unlock value from their data. With the market’s leading partner ecosystem, Veeam is uniquely positioned to lead, helping customers keep data secure, governed, compliant, and recoverable so they can accelerate safe AI at scale and deliver measurable outcomes. I’m excited to join Veeam and help our partners turn resilient data into a strategic advantage.”

In practice, that translates into a fairly concrete mandate. Graff will focus on building a more unified partner ecosystem, helping partners expand their own services and solutions, smoothing out inconsistencies across routes to market, and aligning partners around joint customer outcomes tied to data resilience, cyber readiness, and trusted data for AI. The underlying goal is to help customers confirm that the data feeding their AI systems is secure, compliant, recoverable, and genuinely trustworthy, so that adoption can move faster without moving recklessly.

A Regional Echo, From Seattle to the Gulf

The appointment lands at a moment when the data-trust question is playing out just as urgently outside North America. Across the Gulf, governments and enterprises pursuing sovereign AI strategies have made data governance, residency, and recoverability central to how quickly they can move from pilot projects to production systems. Partner ecosystems play an outsized role in that region, where many enterprises rely on regional systems integrators and managed service providers to translate global platforms into locally compliant deployments. A more unified, better resourced global partner strategy at a company positioned as the Data and AI Trust Company has implications well beyond Veeam’s Seattle headquarters, reaching into exactly the kind of regional technology ecosystems that are racing to build AI infrastructure on a foundation of demonstrable trust.

Veeam, headquartered in Seattle with offices in more than 30 countries, says it protects over 550,000 customers worldwide, including 80% of the Fortune 500. Graff’s appointment suggests the company is betting that its next stage of growth depends less on any single new product and more on how effectively its tens of thousands of partners can carry the message that safe, fast AI adoption starts with trusted data. If that bet plays out, the story of this leadership change will look less like a routine personnel update and more like an early marker of how the enterprise technology industry chose to solve its data-trust problem: through the partners already standing closest to the customer.

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