Enterprise-level group leads transformational effort to elevate data as an asset
Global supply chain solutions leader, AIT Worldwide Logistics, the 40+ year Chicago-based supply chain solutions leader, has announced the launch of its new artificial intelligence (AI) and data science team, a corporate-level department created to amplify the organization’s investment in data.
The team will set the stage for the future implementation of next-generation AI tools to further enhance the company’s robust customer interface. To lead the new group, AIT’s Patrick Chew has been appointed to Vice President, AI and Data Science, the company announced in a press communication.
Future ready
“AIT is continually looking towards the future,” affirmed Chairman and Chief Executive Officer, Vaughn Moore. “With the establishment of the AI and data science team, the company is prepared to capitalize on generative AI, natural language processing, machine learning, large language models, and other advancing technologies,” he continued.
Since joining the company in January 2024, Chew has been responsible for directing data enablement efforts. He reports to AIT’s President and Chief Operating Officer, Keith Tholan.
“AIT leadership has made a significant commitment to transform our data, and we are delighted to have Patrick in a role where he can leverage his vast experience to guide our ongoing data journey for the primary benefit of our customers and teammates,” Tholan stated.
“At AIT, our investment in taking data enablement to the next level clearly signals that data is an integral pillar of the organization, with the new AI and data science team working to enable a new era of dramatic growth for the company,” he added.
Key teams
The AI and data science group is comprised of three key teams:
Data enablement–leading a disciplined, firmwide process to reorganize existing data strongholds into next-gen-compatible assets that will build new levels of trust with stakeholders through increased efficiency and ever-improving solutions
AI governance and data science–developing new AI business features with an emphasis on heightened accuracy and privacy protections for customers and teammates as the technology continues to mature and evolve
Business intelligence and analytics–providing dedicated, centralized reporting and visualization needs across the organization
“Treating data as an asset involves rigorous efforts to reorganize and harness millions of inputs, which will be applied in meaningful ways to enhance business intelligence, boost efficiency and spur innovation,” Chew asserted.
