Driving Enterprise AI Transformation

@ Databricks Data + AI World Tour Dallas 2025

Barjis Ghadially is a transformation strategist and operational leader guiding some of the world’s largest enterprises through digital reinvention. As CEO of WorldLink, he has positioned the company as a trusted partner for organizations navigating the intersection of AI, data, and enterprise technology.

At the Databricks Data + AI World Tour Dallas 2025, Barjis will share how WorldLink is helping enterprises not just adopt GenAI, but operationalize it for measurable business impact.

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VISION

Built to Transform,
Led by Impact

With over two decades of leadership, Barjis has steered WorldLink through pivotal shifts in enterprise architecture, cloud adoption, and AI integration. His approach blends executional discipline with strategic foresight. Under his leadership, WorldLink has:

Transformation at Scale

Scaled enterprise transformation programs for Fortune 500 clients

Transformation at Scale

Scaled enterprise transformation programs for Fortune 500 clients

Transformation at Scale

Scaled enterprise transformation programs for Fortune 500 clients

Real-Time ML Infrastructure

Delivered ML infrastructure on Databricks, enabling real-time analytics at scale

Real-Time ML Infrastructure

Delivered ML infrastructure on Databricks, enabling real-time analytics at scale

Real-Time ML Infrastructure

Delivered ML infrastructure on Databricks, enabling real-time analytics at scale

Engineering Teams as Partners

Built deep engineering teams that work alongside client organizations as true transformation partners

Engineering Teams as Partners

Built deep engineering teams that work alongside client organizations as true transformation partners

Engineering Teams as Partners

Built deep engineering teams that work alongside client organizations as true transformation partners

Client spotlights

Powered by WorldLink + Databricks

Explore how industry leaders partnered with WorldLink and Databricks to unlock intelligent decision-making, modernize legacy systems, and scale ML operations.

John Deere

Samsung

John Deere

WorldLink delivered a Databricks-native ML optimization model to modernize sales incentive allocation across U.S. regions. The solution integrated with Power Apps, Power BI dashboards, and JD’s enterprise data lake.

Result: Smarter spending, improved margins, and organization-wide ML adoption.

John Deere

Samsung

John Deere

Result: Smarter spending, improved margins, and organization-wide ML adoption.

John Deere

Samsung

John Deere

WorldLink built a Databricks-native ML optimization model to modernize incentive allocation across U.S. regions achieving smarter budget utilization, market-share growth, and county-level precision.

Result: Smarter spending, improved margins, and organization-wide ML adoption.