Conagra Manufacturers is advancing its synthetic intelligence options by means of a human-centered strategy that prioritizes accountable use of AI throughout the corporate.
Conagra is utilizing generative AI, clever automation, and strategic collaboration with Microsoft and EY to boost its IT, Provide Chain, R&D, Demand Science, Model, and Design operations. Examples embrace:
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Fueling worker empowerment and productiveness: With Microsoft know-how options, Conagra staff use agile instruments to drive productiveness and automate routine duties. As well as, the corporate has examined new options to resolve extra complicated handbook processes inside its manufacturing amenities. For instance, Conagra and Microsoft joined forces for a two-day hackathon to develop new automated product labeling procedures to enhance the accuracy of key info discovered on product labels, aiding traceability and high quality assurance.
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Enhancing AI-driven branding options: Conagra and EY are exploring the potential of generative AI fashions to develop branded imagery to help advertising and marketing and promoting initiatives. The groups are evaluating present design processes and product photographs, fine-tuning datasets and coaching AI fashions to create photographs that may be tailor-made to particular model necessities. This goals to streamline the content material creation course of by means of iterative collaboration with the Conagra workforce.
“As we implement new options obtainable to us by means of collaborations and rising applied sciences, we’re not solely realizing measurable outcomes now, however figuring out alternatives for future development,” stated Azeem Kapadia, senior director of AI technique at Conagra Manufacturers. “These new digital capabilities will profit our complete workforce, sharpen our focus and higher form how we function and innovate all through Conagra.”
Conagra’s present AI options embrace analyzing complicated knowledge methods that observe client preferences and rising tendencies to assist inform product innovation, addressing demand challenges by understanding consumption tendencies and client behaviors, and monitoring processes throughout the availability chain to supply higher visibility into shipments and establish loss prevention alternatives.
