Tredence Launches New Data Collection Platform at NRF 2023

The company’s AI Accelerator Platform, Atom.AI, is designed as an easy-to-use data collection solution for the retail industry

Scarlett Evans, Assistant Editor, IoT World Today

January 17, 2023

1 Min Read

AI solutions company Tredence announced the launch of its new data collection platform at this year’s NRF show, designed to make simple data migration accessible to retail businesses.

The end-to-end AI accelerator platform, Atom.AI, is equipped to accelerate data migrations, using AI/ML analytics to “unlock the power of customer data”. 

With the rise of retail’s digitalization, the amount of customer data is seeing a boom that legacy systems are struggling to support - something that Tredence is hoping to aid with its new platform.

“Consumer Packaged Goods (CPG) business leaders are yearning to achieve precision at scale through AI, but creating fit-for-purpose solutions in the face of insufficient granular data and skyrocketing cloud costs is a challenge,” said Sagar Balan, Tredence Chief Business Officer of CPG.

"Retailers are sitting on mountains of data, but most are struggling with data stuck in legacy siloes and insights that can't keep up with double-digit inflation,” said Morgan Seybert, Tredence Chief Business Officer of retail. “Tredence drives data strategies and AI-based decisions for six of the top 10 world’s largest retailers, powering $1 trillion in revenue. 

"We are thrilled to announce the launch of Atom.AI, an end-to-end ecosystem of AI accelerators designed to solve the hairiest data engineering and data science challenges for retailers and help them unlock the power of their data." 

About the Author(s)

Scarlett Evans

Assistant Editor, IoT World Today

Scarlett Evans is the assistant editor for IoT World Today, with a particular focus on robotics and smart city technologies. Scarlett has previous experience in minerals and resources with Mine Australia, Mine Technology and Power Technology. She joined Informa in April 2022.

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