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Dive Overview:
Kraft Heinz is developing an internally generated AI tool for its employees, the company confirmed to CIO Dive on Monday. Helen Davis, SVP and head of North American operations at the company, first spoke about the development of KraftGPT, as the company calls the tool, at a conference earlier this month. “We are currently in the app development phase, working on things like language translation tables for seamless communication and understanding with the platform,” Davis said in an email. “We already have an internal website platform up and running, with user groups testing and training on the platform.” The company’s goal is to use the technology to gather real-time insights and information across its supply chain to inform and inform employees while making strategic decisions, Davis said.
Dive Insights:
Kraft Heinz aims to achieve a common goal associated with the adoption of generative AI: providing data-driven insights to employees in real time.
The promise of increased workforce efficiency and reduced tedious tasks is appealing to tech leaders and employees: Nearly three in four workers are using generative AI tools for data analysis and visualization, according to a survey by Insight Enterprises.
“If you can make your employees more productive and solve problems quickly without having to hire a data scientist or any kind of technical person, that’s better for the entire organization because it allows those experts to focus on the next big thing,” says David McCurdy, chief enterprise architect and CTO at Insight Enterprises.
Davis said Kraft Heinz data scientists are using Microsoft Azure OpenAI tools and in-house data in combination with its own AI models, recommendation systems and risk classification systems.
The company is still in the early stages of testing and has no definitive timeline for rollout.
Kraft Heinz joins a growing number of companies exploring how generative AI can benefit their business operations: More than two in five executives surveyed by Gartner in October said their companies are piloting generative AI, and another 10% are in production.
