BUILDING AI FROM THE GROUND UP: EVERPURE'S VISION FOR DATA-DRIVEN CHANNEL TRANSFORMATION

As AI reshapes enterprise priorities, Andrew Fisher explains why trusted data, cyber resilience and strategic advisory—not technology alone—will define the next generation of successful channel partners.

Artificial Intelligence has rapidly evolved from a technology experiment into a boardroom priority, compelling enterprises to rethink not only their technology investments but also the very foundation on which AI success depends. While organizations continue to pour resources into AI infrastructure and sophisticated models, the real differentiator is increasingly proving to be something far less glamorous—but far more critical: data. This shift is fundamentally redefining the role of channel partners. No longer confined to selling products or implementing infrastructure, partners are now expected to serve as trusted business advisors who can help organizations build AI-ready data environments, strengthen governance, ensure cyber resilience, navigate compliance complexities and translate technology investments into measurable business outcomes.

In this exclusive interaction with SME Channels Editor Manash Ranjan Debata, Andrew Fisher, Channel Lead APJ, Everpure, explains why data readiness—not AI itself—must become the starting point of every enterprise AI conversation. He also shares how Everpure's Enterprise Data Cloud strategy, built around Universal Data Intelligence, the Unified Data Plane and the Intelligent Control Plane, is designed to help partners move beyond transactional engagements and become indispensable advisors in customers' AI transformation journeys.

This Special Exclusive explores why AI readiness begins with data readiness, how cyber resilience and AI have become inseparable, and why governance, visibility and trusted data are emerging as the cornerstones of enterprise AI success. It also examines how Everpure's channel-first philosophy is creating new opportunities for partners to expand into consulting and services-led engagements, what customers across the APJ region now expect from their technology partners, the common mistakes organizations make when pursuing AI initiatives, and the qualities that will distinguish the most successful channel partners in the AI-driven economy. Together, the discussion presents a compelling roadmap for how the channel can evolve from technology enablement to strategic business transformation in the era of artificial intelligence. Edited Excerpts…

 Q. As AI adoption accelerates across industries, how do you see the role of channel partners evolving from traditional technology resellers to strategic business transformation advisors?

The transition of channel partners from technology resellers to trusted business advisors has been underway for several years. This is not an entirely new direction for the channel ecosystem; however, the rapid adoption of artificial intelligence is significantly accelerating the pace of that evolution. Everpure's latest announcements are designed to further strengthen this transformation by equipping partners with a broader portfolio of capabilities that enable them to deliver greater strategic value to customers.

Today, very few organizations perceive channel partners merely as suppliers of technology products. Instead, enterprises increasingly expect their partners to provide guidance on digital transformation, business innovation and long-term technology strategy. The emergence of AI has further elevated these expectations, as organizations require far more than infrastructure deployment—they need expert advice on how to build secure, governed and scalable AI environments.

Everpure's newly announced Universal Data Intelligence, Unified Data Plane and Intelligent Control Plane initiatives have been developed to address these evolving customer requirements. Together, these innovations provide partners with an integrated combination of technologies and services that enable customers to pursue their AI ambitions with confidence while simultaneously creating new opportunities for partners to expand their own business.

At the heart of every successful AI initiative lies data. Organizations cannot build reliable AI capabilities unless they first understand their data, govern it effectively, protect it against evolving threats and make it readily accessible for business use. Everpure's strategy is focused on enabling partners to help customers establish this strong data foundation, allowing AI initiatives to deliver meaningful business outcomes.

The industry's shift towards strategic advisory services has already begun, but the innovations being introduced at Accelerate significantly enhance partners' ability to fulfil this role. They provide a stronger platform from which partners can guide customers through increasingly complex AI journeys while reinforcing their position as long-term strategic advisors.

"AI readiness starts with data readiness. Partners who help customers understand, govern, protect and mobilise their data will become indispensable strategic advisors in the AI economy."

— Andrew Fisher, Channel Lead, APJ, Everpure

Q. When it comes to AI infrastructure, many organizations are investing heavily. However, data readiness often emerges as a major bottleneck—perhaps the most important one. Why do you believe data management is becoming the most critical conversation partners should be having with customers today?

One of the most common mistakes organizations make in their AI journey is focusing on AI models and infrastructure before addressing the quality and readiness of their data. AI cannot be built on an unstable foundation. Much like constructing a building, the foundation must be completed before attention shifts to the roof.

Many enterprises are understandably excited by the opportunities presented by artificial intelligence and are making significant investments in computing infrastructure and AI models. However, in numerous cases they fail to evaluate the condition of the data that will ultimately power these technologies. Data frequently resides across legacy systems, multiple cloud environments, business applications and isolated organizational silos. Often, organizations lack complete visibility into where their information is stored or how it is managed.

Before embarking on any AI initiative, businesses must first answer several critical questions. They need to understand what data they possess, where it resides, whether it is adequately protected, whether it complies with applicable regulations and whether it satisfies increasingly important data sovereignty requirements. Equally important, they must determine whether that data is suitable for AI-driven applications.

The long-standing principle of "garbage in, garbage out" remains highly relevant in the age of AI. Poor-quality or poorly governed data inevitably results in inaccurate outcomes, increases operational risk and creates significant governance and compliance challenges. As regulatory frameworks continue to evolve, organizations must not only know where their data exists but also understand how it is classified, governed and controlled throughout its lifecycle.

The message for customers is therefore straightforward: AI readiness begins with data readiness. Without a robust and well-governed data foundation, organizations should avoid rushing into AI implementation. Preparing data properly is the essential first step towards achieving successful and sustainable AI outcomes.

Q. With fragmented and siloed data environments continuing to challenge enterprises, what new capabilities is Everpure bringing to help partners address these complexities and unlock greater business value for customers?

Everpure's primary objective is to simplify enterprise data management. While data management itself is not a new concept, the company is introducing a more streamlined and integrated approach that enables organizations to establish what it describes as an Enterprise Data Cloud, built upon three strategic pillars.

The first pillar is Universal Data Intelligence. Central to this initiative is Everpure Data Intelligence, which builds upon capabilities acquired through the company's OneTouch acquisition. Rather than functioning as another data repository, this solution enables organizations to discover, classify and gain comprehensive visibility into their existing data assets. A thorough understanding of enterprise data is an essential prerequisite for any successful AI strategy, making data discovery and classification foundational capabilities.

The second pillar is the Unified Data Plane. Storage continues to remain central to Everpure's long-term strategy, and the company is introducing several innovations designed to modernize enterprise storage infrastructure. These include FlashArray XL190 with Purity Turbo, Everpure Data Stream, Everpure Cloud Azure Native and Evergreen One Overdrive. Collectively, these technologies provide customers with a consistent and modern data platform capable of supporting hybrid and cloud environments while ensuring enterprise-grade performance and operational efficiency.

Completing the framework is the Intelligent Control Plane. This capability enables organizations to govern, monitor, automate and rebalance data across multiple environments while maintaining strong compliance and operational control. It also provides organizations with the ability to mobilize data efficiently without compromising governance or security requirements.

Together, these three pillars form Everpure's Enterprise Data Cloud—a unified environment that enables customers to understand, store, govern, move and automate their data in a secure, compliant and highly efficient manner. This integrated approach simplifies increasingly complex data environments while providing partners with powerful capabilities to help customers maximize the value of their data and accelerate AI adoption.

Q. Cyber resilience has become almost inseparable from AI success. How can partners position themselves at the intersection of AI readiness, data protection, and cybersecurity to deliver stronger customer outcomes?

Cybersecurity has consistently remained the foremost priority for CIOs and CTOs across industries. While artificial intelligence currently dominates technology discussions and investment agendas, security and data protection continue to occupy the highest position on the enterprise leadership agenda. AI may redefine business processes and unlock new opportunities, but without a secure and resilient data environment, its true potential cannot be realised.

The relationship between AI readiness and cyber resilience is no longer optional—it is inseparable. Organizations cannot legitimately claim to be AI-ready if they have not first established strong cybersecurity practices and effective data governance. Before AI applications can generate meaningful business value, enterprises must ensure that their data is trusted, secure, compliant, recoverable and properly governed. These are not independent initiatives but interconnected components of a successful AI strategy.

This is precisely where Everpure's Intelligent Control Plane assumes a strategic role. It enables organizations to establish enterprise-wide governance by providing comprehensive capabilities for data mobility, compliance monitoring, policy enforcement, automated remediation and operational automation across distributed environments. Rather than treating governance as a reactive exercise, organizations can continuously monitor and manage their data estate while maintaining visibility and control.

For channel partners, this presents an opportunity to reposition themselves as trusted advisors capable of helping customers integrate AI readiness with robust cyber resilience strategies. Instead of addressing AI and security as separate conversations, partners can guide customers towards a unified approach that protects data while enabling innovation.

Ultimately, successful AI initiatives depend upon trusted, resilient and well-governed data. Without that foundation, even the most sophisticated AI investments will struggle to deliver sustainable business outcomes.

Q. As a 100% channel-focused company, how does Everpure ensure that every innovation introduced at Accelerate translates into tangible business opportunities and competitive differentiation for partners?

Everpure's unwavering commitment to a 100% channel-focused business model remains one of its strongest differentiators. Unlike many vendors that operate through both indirect and direct sales models, Everpure does not compete with its own partners for customer relationships. This exclusive channel-first approach provides partners with greater confidence to invest in long-term customer engagement without the concern that the vendor may eventually become a direct competitor.

Having spent many years working within the channel ecosystem, I understand how valuable this distinction is. Partners frequently devote considerable time and resources to building customer trust, nurturing opportunities and developing strategic relationships. Naturally, they want assurance that these investments will remain protected. In fact, every partner should ask prospective vendors a fundamental question: "What is your direct sales strategy?" The answer to that question often determines the strength and longevity of the partnership.

At Everpure, partners never have to confront that uncertainty. The company remains fully committed to enabling partner success rather than competing for customer ownership. This creates a collaborative environment in which partners can confidently build long-term business strategies around Everpure's technology portfolio.

Equally important, the Enterprise Data Cloud creates significant opportunities for partners to expand beyond traditional product sales into high-value, services-led engagements. While Everpure delivers the technology platform, the consulting, implementation and ongoing services surrounding those technologies remain firmly within the partner ecosystem. This allows partners to develop differentiated service offerings that extend well beyond infrastructure deployment.

Opportunities exist across multiple domains, including data intelligence, AI readiness assessments, cloud modernization, cyber resilience, governance and compliance, automation and lifecycle management services. Partners can offer comprehensive data estate assessments, AI readiness workshops, governance consulting, migration programmes, modernization initiatives and managed services that address customers' broader business objectives.

This fundamentally changes the nature of customer engagement. Instead of competing solely on product specifications or hardware comparisons, partners are able to engage executive stakeholders—including CIOs, CISOs and senior business leaders—in strategic discussions centred on business outcomes, operational resilience and long-term digital transformation.

Q. Looking across the APJ region, what significant shifts are you seeing in customer expectations from channel partners? And what advice would you give partners looking to stay relevant in the AI era?

At a fundamental level, customer expectations have remained remarkably consistent. Organizations continue to seek the same core attributes from their technology partners: honest advice, dependable solutions and predictable business outcomes. Trust remains the cornerstone of every successful customer relationship.

What has changed dramatically is the complexity of the technology landscape. Artificial intelligence has introduced an entirely new set of strategic considerations that many organizations are still attempting to navigate. Rather than seeking technology products alone, customers are increasingly looking for guidance that helps them make informed business decisions in an environment characterised by rapid technological change.

Across the APJ region, enterprises are asking practical questions about their AI journey. They want to understand where to begin, how AI can strengthen their competitive position and, equally importantly, how they can avoid making expensive mistakes during implementation. They are not simply looking for technology vendors—they are looking for experienced advisors who can provide clarity amidst uncertainty.

This evolution creates a significant opportunity for channel partners. Their responsibility extends beyond deploying technology; they must also help customers establish a clear strategic roadmap that aligns AI initiatives with broader business objectives. The conversation should begin with business strategy and data strategy rather than with AI models or implementation tools.

Partners should first help organizations identify their competitive priorities, understand how AI can support those objectives and ensure that their underlying data environment is secure, governed and prepared for AI adoption. Only after these foundational elements have been established should discussions move towards selecting and implementing AI models.

By adopting this consultative approach, partners strengthen their position as trusted strategic advisors while helping customers achieve sustainable, long-term value from their AI investments rather than pursuing technology for its own sake.

Q. Many organizations rush into AI initiatives without a clear data strategy. What common mistakes do you see, and how can partners play a stronger advisory role?

The most common mistake organizations continue to make is attempting to build their AI strategy in reverse. They become captivated by the promise of AI models and advanced technologies without first establishing the robust data foundation required to support them. Simply put, organizations focus on constructing the roof before laying the foundation.

Artificial intelligence represents the visible outcome of a much larger ecosystem, but the true foundation of that ecosystem is data. Unfortunately, many existing enterprise data strategies were never designed to support modern AI environments. As organizations attempt to integrate AI into these legacy frameworks, they often create increasingly complex and costly architectures that fail to deliver the anticipated business outcomes.

The consequences extend far beyond operational inefficiencies. Poorly governed or inaccurate data inevitably produces unreliable AI outputs, undermining confidence in decision-making and reducing the overall value of AI investments. In addition, weak governance exposes organizations to compliance risks and increases the possibility of inadvertently exposing sensitive information. These challenges reinforce the importance of establishing a comprehensive data strategy before embarking on AI implementation.

This is where channel partners have an increasingly critical role to play. Their responsibility is no longer limited to recommending technology solutions or deploying infrastructure. Customers require informed guidance throughout their AI journey, beginning with an objective assessment of their existing data environment and extending through governance, compliance and long-term operational readiness.

Modern enterprises are seeking trusted advisors rather than transactional technology providers. They want partners who possess the expertise to help them avoid costly mistakes, establish the right foundations from the outset and ensure that AI initiatives deliver measurable and sustainable business value. By leading customers through this structured approach, partners strengthen both customer confidence and their own strategic relevance.

Q. Over the next three to five years, what will distinguish the most successful partners in the AI economy? And how is Everpure preparing partners for that future?

Over the coming three to five years, the defining characteristic of successful channel partners will be their ability to move beyond infrastructure-centric discussions and engage customers in conversations focused on measurable business outcomes. Artificial intelligence is fundamentally reshaping how organizations create value, making it essential for partners to align technology recommendations with broader business priorities rather than individual products.

Increasingly, organizations are asking strategic questions about how they can remain competitive, accelerate innovation and adopt AI responsibly. These conversations require a far deeper understanding of business objectives than traditional technology sales have typically demanded. As AI becomes more deeply embedded within enterprise operations, information itself will emerge as the organization's most valuable strategic asset.

The partners that thrive in this environment will be those capable of helping customers answer a series of fundamental questions regarding their data. They will help organizations understand where their information resides, how it can be accessed efficiently, how it should be protected against evolving threats, how it should be governed throughout its lifecycle and how it can be used responsibly within AI-driven environments. These are the conversations that will increasingly define long-term customer relationships.

By consistently providing this level of strategic guidance, partners will naturally evolve into trusted business advisors rather than technology suppliers. Their value will be measured not simply by the solutions they deploy but by the confidence they provide customers in navigating an increasingly complex AI landscape.

Everpure's Enterprise Data Cloud strategy has been designed to support precisely this transition. By providing integrated capabilities that strengthen data visibility, governance, mobility and operational control, the company enables partners to engage customers at a far more strategic level while helping them build the trusted data foundations required for long-term AI success.

Q. As AI reshapes the business landscape much like cloud computing once did, what does this transformation mean for the future business model of channel partners?

Artificial intelligence represents one of the most significant opportunities the channel ecosystem has encountered in many years, and partners who fully recognise its potential are well positioned to create substantial value for both their own businesses and their customers. Those that have already established advisory and consulting practices are particularly well placed to capitalise on this transition, as organizations increasingly seek strategic guidance alongside technology implementation.

A recent engagement with one partner clearly demonstrated the scale of this opportunity. During a confidential discussion, I introduced the capabilities being developed around Everpure's Enterprise Data Cloud. Within a matter of minutes, the customer's CIO invited the Head of Consulting to join the conversation after immediately recognising the strategic significance of the offering. The discussion quickly expanded beyond technology to encompass broader business transformation, highlighting how rapidly organizations are connecting AI initiatives with consulting-led engagements.

Experiences such as these reinforce an important conclusion: partners already understand the challenges their customers face. What they increasingly require is a comprehensive platform that enables them to address those challenges with confidence while differentiating themselves in an increasingly competitive marketplace.

Everpure's evolving portfolio has been developed with this objective in mind. By providing the technology foundation while enabling partners to build high-value consulting, advisory and managed services around it, the company creates new opportunities for long-term business growth and customer engagement.

As the market continues to evolve, success will increasingly belong to partners that combine technical expertise with strategic advisory capabilities. Customers are looking for guidance as they navigate AI adoption, and partners are seeking meaningful differentiation. Everpure believes its Enterprise Data Cloud strategy brings these two requirements together, creating a strong platform for future growth and positioning both the company and its partners for long-term success in the AI economy.