AI transformation doesn’t happen through isolated innovation labs, it happens through well-orchestrated ecosystems. Rakesh Sancheti unpacks how hyperscaler alliances (Microsoft, Databricks, Snowflake, AWS), strategic co-development, and joint GTM motions are now the real engines behind enterprise AI adoption. Drawing on his experience leading global partner growth across multiple tech giants and now at Tredence, he explains why partnerships have become the new competitive moat and how enterprises can leverage them to accelerate AI deployment, reduce time-to-value, and unlock scalable impact across industries.

As a speaker, Rakesh brings real-world clarity to a topic often trapped in jargon translating the partnership buzzwords into practical frameworks, execution patterns, and growth insights that help business and technology leaders understand how to actually operationalize AI through the right collaborators.

Enterprises don’t struggle with building models, they struggle with turning them into measurable outcomes. Rakesh addresses the “Last Mile” problem head-on, breaking down why many organizations stall between proof-of-concept and scalable deployment. He explores modern data architectures, domain-specific platforms, value-engineering frameworks, and cross-functional delivery models that bridge the gap between insight creation and sustained business value. From real-time platforms in manufacturing to industry-specific analytics accelerators in retail and CPG, he shares what truly moves large organizations from experimentation to transformation.

Rakesh elevates this topic by delivering an operator’s perspective revealing how to architect, govern, and embed AI into workflows so it drives tangible enterprise value, not just PowerPoint promises.

AI’s most transformative impact is happening deep inside operations, not just at the customer layer. In this conversation, Rakesh breaks down how enterprises are using predictive forecasting, autonomous planning, OT/IT convergence, and real-time data platforms to modernize supply chains and manufacturing. He uses sector-level examples to illustrate what it takes to build resilient operations: digital twins, intelligent inventory, demand sensing, automated quality systems, and asset-level predictive analytics. This is a tactical, industry-grounded exploration of how to deploy AI where margins, timelines, and risks are most unforgiving.

Rakesh amplifies this topic by translating complex industrial AI into practical, business-aligned narratives  helping hosts and audiences see not the technology, but the measurable efficiency, resilience, and revenue gains it enables.

Growth in the AI era requires more than strong technology; it demands strategic orchestration across product, partnerships, GTM, and delivery. Rakesh dives into how modern growth leaders build repeatable engines: value-led solutioning, co-innovation with hyperscalers, commercial models that reward outcomes, and customer success motions that sustain adoption. He shares lessons from leading multi-billion-dollar data businesses at Wipro, LTI, Mindtree, and now driving global growth at Tredence, offering rare insight into how to scale AI businesses in a rapidly shifting market.

By blending deep operator experience with market intelligence, Rakesh gives audiences clarity on what drives real, sustained growth in AI-first enterprises and how leaders can position themselves at the forefront of this shift.