Navigating Digital Transformation: A Comprehensive Exploration of Modernization and AI Integration in B2B Tech

Sanjib Sahoo, the Executive Vice President and Chief Digital Officer for Ingram Micro, is orchestrating the digital transformation of one of the largest technology distributors globally. With the ability to serve nearly 90% of the earth’s population, Ingram Micro operates in 61 countries and is recognized as the business behind the world’s brands.

In a recent interaction with, prisila, correspondent, Asia Business Outlook, Sanjib Sahoo walked us through a journey marked by inno- vation, transformative leadership, and a commitment to reshaping in- dustries.

What strategies can be employed to undertake the modernization of a long-standing $50 billion B2B tech distribution company within a two-year timeframe?

Initiating digital transformation in a company with a rich history necessitates a multifaceted approach. The journey begins with a compelling vision that transcends the superficial aspects of change. Clear communication of this vision, emphasizing the 'why' behind the transformation, becomes the bedrock for changing entrenched mindsets in a traditional organizational structure. A pivotal element is setting a clear North Star for the company, a beacon that guides every aspect of the transformation. Meticulous planning, with an unwavering focus on value creation and value capture, becomes paramount. This planning, akin to building with Lego blocks in small cycles, allows for constant iteration and improvement, recognizing that perfection is a journey, not a destination.

Establishing a robust technology infrastructure is foundational. This infrastructure should not only support the present transformation but should be nimble enough to pivot with the evolving needs of the business. Agility, as exemplified by releasing capabilities every week, is essential. A culture that embraces change listens to customers through feedback loops, and operating with the spirit of continuous improvement is key to success.

What are your thoughts on the idea that digital transformation relies heavily on the collaborative efforts of a team?

Digital transformation is not a solitary endeavor; it thrives on collaboration more than technological prowess. Shifting the focus from mere automation to enhancing customer experiences is a foundational shift in mindset. The collaboration extends beyond technology; it's about bringing people along in the transformation journey. The amalgamation of technology and human input is vital, emphasizing that transformation occurs with employees, not in isolation.

In the pursuit of technological advancement, the danger lies in prioritizing shiny technologies over driving tangible business value. Successful adoption requires a continuous cycle of creating and capturing value, ensuring that every step aligns with the overarching goal. Operating with a digital mindset, embracing imperfection as a stepping stone to improvement, and fostering collaboration become the guiding principles for a successful digital transformation.

What are some under-discussed aspects in the AI field that deserve more attention from the market and industry professionals?

While AI is often portrayed as a revolutionary force, its potential is frequently misunderstood. AI should not be seen merely as a tool for automation but as a means to enhance customer experiences. Embracing AI as agile intelligence underscores the need for continuous collaboration between humans and machines.

Underappreciated aspects include the foundational importance of robust data infrastructure. Harmonizing data and modernizing abstraction layers are critical for unleashing the full potential of AI. Rather than fearing AI, organizations should embrace it as another representation of data, with a keen focus on data infrastructure, governance, and adaptability.

"Incorporating AI into business operations is a multifaceted process that starts with improving data infrastructure"

What are the initial steps that organizations should consider when incorporating AI into their business operations?

Incorporating AI into business operations is a multifaceted process that starts with improving data infrastructure. The adage "garbage in, garbage out" underscores the importance of clean and harmonized data for AI success. Starting small, solving specific problems with AI, and deriving tangible value are crucial initial steps.

Prioritizing customer experience and reverse engineering solutions based on their needs become guiding principles. Understanding different forms of data and AI models, creating relevant datasets, and analyzing returns are essential steps. Establishing an AI Center of Excellence that collaborates across organizational functions, especially in training algorithms, plays a pivotal role in successful AI implementation.

What are the key areas of focus for C-suite executives in the context of ongoing AI discussions, with an emphasis on actionable initiatives for both the current and future landscape?

C-suite executives should view AI as an enabler rather than an end in itself. Focusing on improving both customer and employee experiences should be at the forefront. Determining the specific value AI brings, whether through product differentiation, margin expansion, or market penetration, is crucial.

Ensuring infrastructure readiness for AI implementation becomes a prerequisite, considering the computing power required, especially for advanced AI models. Cultivating a mindset of curiosity and innovation, coupled with a focus on the art of possibilities and incremental perfection, is essential. The organizational DNA should prioritize continuous value creation and customer-centricity, allowing the business to harness the full potential of AI in the evolving landscape.