{"id":1166,"date":"2023-03-30T13:50:07","date_gmt":"2023-03-30T13:50:07","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/startups\/blog\/?p=1166"},"modified":"2024-11-04T11:23:41","modified_gmt":"2024-11-04T19:23:41","slug":"commerce-ai-extracts-value-from-unstructured-data-with-openai","status":"publish","type":"post","link":"https:\/\/www.microsoft.com\/en-us\/startups\/blog\/commerce-ai-extracts-value-from-unstructured-data-with-openai\/","title":{"rendered":"Commerce.AI extracts value from unstructured data with Azure OpenAI Service"},"content":{"rendered":"\n
This is part of our #LaunchWithAI series. Interested in sharing your story? Contact us <\/em>here<\/em><\/a>!<\/em><\/p>\n\n\n\n One of the biggest challenges that AI researchers and developers face is in leveraging unstructured data. Unlike structured data, which is organized and easily searchable, unstructured data doesn’t have a pre-defined model or organizational system and is often difficult to analyze using traditional methods. However, as the amount of unstructured data in the world continues to grow exponentially, it\u2019s essential to be able to extract insights and knowledge from this data.<\/p>\n\n\n\n Commerce.AI<\/a> is equipping its customers to tackle the unstructured data challenge. The startup provides an AI-powered platform that helps businesses make data-driven decisions by leveraging the latest advances in natural language processing (NLP), computer vision, and machine learning technologies. The platform provides solutions that enable businesses to optimize their product data, conduct market research, and understand consumer feedback. With industry-specific taxonomy, customized dashboards, and customizable alerts, Commerce.AI provides insights and analytics to help businesses make data-driven decisions.<\/p>\n\n\n\n We sat down with Commerce.AI founder and CEO Andy Pandharikar for some insight into how his startup makes sense out of unstructured text, voice, and video data, and how working with Microsoft has given them more confidence in helping their customers.<\/p>\n\n\n\n Commerce.AI was founded with the mission to harness the power of AI to change the way commerce is done. Andy’s previous startup was focused on using data to help fashion retailers improve product sizing accuracy. After it got acquired, Andy and his team started exploring other scenarios in which unstructured data could produce valuable insights. And as he made clear, there was certainly no shortage of data to work with.<\/p>\n\n\n\n \u201cThere are 24 quintillion bytes of data created every day\u2014that\u2019s one billion billions,\u201d Andy says. \u201cAnd 90% of that data is unstructured.\u201d<\/p>\n\n\n This unstructured data represents a potential goldmine of insights into customer sentiment, market trends, and usage patterns, as well as other information that can be used to make better decisions. However, unstructured data is harder to analyze than structured data, so companies often struggle to make good use of it.<\/p>\n\n\n\n \u201cThere is so much value out there for companies to derive if they can access and make sense of it,\u201d Andy says. \u201cWhen we ran that first startup, we saw that fitting is a huge problem in fashion. But then you start understanding it’s a data problem. How do you predict what type of clothing to produce so you can serve the maximum number of customers? Our data was predicting what size would fit.\u201d<\/p>\n\n\n\n With his company\u2019s mission to help businesses make data-driven decisions using advanced AI, NLP techniques, and machine learning algorithms, Andy is clear on what sets Commerce.AI apart from others in the field.<\/p>\n\n\n\n \u201cWe are an AI-first company,\u201d he says. \u201cHow we differentiate from competitors is by centering our infrastructure around AI. We are focused on building and delivering the best experience to our customer\u2014and that involves AI.\u201d<\/p>\n\n\n\n “The large language models (LLMs) like OpenAI have gotten so good. I would advise other startups to not build their own models but find areas where they can adapt the existing models for the needs of customers.”<\/p>\n<\/blockquote>\n\n\n\n The company starts by defining a customer\u2019s business problem, then develops a solution approach and tailors their AI infrastructure to suit those needs. Commerce.AI came to realize that as a startup, they wouldn\u2019t be able to match the compute infrastructure of the big cloud companies. This led them to Microsoft Azure.<\/p>\n\n\n\n \u201cWhen we started using Azure infrastructure, there was a tremendous amount of reliability when it came to safety, scalability, and compliance,\u201d Andy says. \u201cWe noticed it gave our customers confidence.\u201d<\/p>\n\n\n\nCapitalizing on the value of unstructured data<\/h2>\n\n\n\n
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Gaining customers\u2019 confidence with Azure and OpenAI Service<\/h2>\n\n\n\n
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