Our Insight Designer (Refract) simplifies the journey of everyone involved in the AI lifecycle by accelerating model building and training, validation, deployment, monitoring, and governance–shortening time to market, improving ML operations, AI accuracy, and trustability.
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Retail Technology Solutions to Boost Revenue GrowthElevate your business with machine learning for retail from the Fosfor Decision Cloud to optimize pricing, improve demand forecasting, and more. n the retail arena, brands battle for differentiation, and customers seek exceptional service. The pivotal challenges lie in finding a retail technology solution that can aggregate high-volume, multi-channel data, understand consumer preferences, and...0 Comments 0 Shares 587 Views 0 ReviewsPlease log in to like, share and comment!
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Insight Designer | Enhance AI Lifecycles with an ML PlatformOur Insight Designer (Refract) simplifies the journey of everyone involved in the AI lifecycle by accelerating model building and training, validation, deployment, monitoring, and governance–shortening time to market, improving ML operations, AI accuracy, and trustability. Gather insights and identify features using natural language prompts from the Insight Designer. Automatically...0 Comments 0 Shares 620 Views 0 Reviews
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Generative AI and Its Implications for Business - FosforGen AI describes algorithms (such as ChatGPT, Github Copilot, and Bard) that can be used to create new content, including audio, code, images, text, simulations, and videos. In a time-is-money world, Gen AI has revolutionized how imagination and creativity can be accelerated; with simple text-based prompts, we can obtain machine-generated content, images, and more. This is generated by the...0 Comments 0 Shares 1K Views 0 Reviews
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Insight Designer | Enhance AI Lifecycles with an ML PlatformStreamline the AI lifecycle with our MLOps platform. Accelerate and automate every step of ML operations with Refract. Our Insight Designer (Refract) simplifies the journey of everyone involved in the AI lifecycle by accelerating model building and training, validation, deployment, monitoring, and governance–shortening time to market and improving AI accuracy and trustability.0 Comments 0 Shares 1K Views 0 Reviews
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