AIT Worldwide Logistics has announced it has launched a new artificial intelligence and data science team.
The corporate-level department has been created to amplify the organisation’s investment in data. AIT’s Patrick Chew has been appointed to Vice President, AI and data science.
“AIT is continually looking towards the future,” said Chairman and Chief Executive Officer, Vaughn Moore. “With the establishment of the AI and data science team, the company is prepared to capitalise on generative AI, natural language processing, machine learning, large language models and other advancing technologies.”
For more than 25 years, Chew has helped companies improve their business intelligence, analytics and data enablement. Since joining the company in January 2024, he has been responsible for directing data enablement efforts. He reports to AIT’s President and Chief Operating Officer, Keith Tholan.
“Data is a common denominator that informs and impacts every aspect of the business,” said Tholan. “And at AIT, our investment in taking data enablement to the next level clearly signals that data is an integral pillar of the organisation, with the new AI and data science team working to enable a new era of dramatic growth for the company.”
The AI and data science team will implement a regimented approach to transform data across AIT’s global network, including steps to redefine core domains and enhance time-tested workflows. Data management based on a newly configured single version of truth will be well-positioned to support powerful new key performance indicators.
The AI and data science group is comprised of three key teams:
- Data enablement – leading a firm-wide process to reorganise existing data strongholds into next-gen-compatible assets that will increase efficiency and ever-improving solutions
- AI governance and data science – developing new AI business features with an emphasis on heightened accuracy and privacy protections.
- Business intelligence and analytics – providing dedicated, centralised reporting and visualisation needs across the organisation
“Treating data as an asset involves rigorous efforts to reorganise and harness millions of inputs, which will be applied in meaningful ways to enhance business intelligence, boost efficiency and spur innovation,” Chew said. “Our AI and data science initiative will further differentiate AIT with shippers and investors when compared to others in the freight forwarding industry.”
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