The latest AI, ML and data science research
Artificial Intelligence Research & Development (AI R&D) at WWT is an applied research initiative focused on investigating the one- to three-year horizon of the artificial intelligence and machine learning (AI/ML) space.
Our team of data science and analytics experts develop, conduct and report on a wide range of internal projects grounded in our deep understanding of industry use cases.
Learn about our team and explore some of our work below.
Read the reports
A Modular Approach to AIOps
Smart Receiving: A Warehouse Automation Solution
Mitigating Bias in AI Using Debias-GAN
ATC Connect Recommendation Engine
Our people and process
AI R&D is an initiative formed by WWT individuals interested in the future of AI and ML. It functions as a rotational program with an operations team and an R&D working team composed of data scientists, data engineers and application engineers.
Our platform
Our AI R&D platform is a cloud-based containerized environment that gives us the extensibility and elasticity to develop, build and test AI/ML solutions. The platform's flexible architecture optimizes network and storage, while GPU-enabled devices provide the technical capabilities for algorithm training. ML infrastructure tools are deployed on top of the AI R&D platform to streamline workflows and automate the productionalization of projects from dataset to deployment.
Our projects
All AI R&D projects -- which are developed, funded and conducted internally -- are geared toward applied research that unearths scientific discoveries in the AI/ML space that are innovative, solve problems and have potential commercial application. Industry use cases and datasets -- from mining, motorsports, utilities and more -- power our AI R&D work.
Want to learn more?
What We're Uncovering in the Real World of AI Research and Development
Reinventing AI Research & Development: Part I
Reinventing AI Research & Development: Part II
Reinventing AI Research & Development: Part III
Reinventing AI Research & Development: Part IV
Reinventing AI Research & Development: Part V
Reinventing AI Research & Development: Part VI
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