The economic benefits of innovating with Azure AI

Microsoft

By Olivia Shone, Senior Director, Azure AI Product Marketing

 

At Microsoft Build this year our CEO Satya Nadella grounded the excitement surrounding AI back to one simple goal: to better serve unmet user needs. He asked “Why do we build software?” and, in doing so, he reminded us it’s not the technological capabilities of AI tools that make them so valuable, but instead where we apply them and for whom. Great products have always, and will always, be about people, and that’s what’s energizing us most on the Microsoft Azure team right now.

 

Azure customers are already infusing AI in incredible ways, building next-gen app experiences with cutting-edge innovation from Azure AI services with the backing of Azure’s trusted cloud platform. CarMax, H&R Block, the NBA, and most recently announced, Mercedes-Benz are putting Azure AI to work to differentiate their respective businesses, and they’re proving how investments in innovation quickly pay themselves forward—even during a challenging economy. When AI-powered apps like the CarMax research tool help us scour online reviews of 4,500 car types in seconds, or NBA CourtOptix serves up insights behind our favorite players’ moves, we see first-hand how our own needs inspire truly remarkable software development.

 

Even so, some customers that are ready to invest in AI tell us that they need help making the financial case for the tools they need to build great products. That’s why today we’re sharing a new Total Economic Impact™ (TEI) study conducted by Forrester Consulting, which captures the costs and benefits of innovating with Azure AI services over a three-year journey. The report analyzes not just one Azure AI service but the exponential effect of multiple. CarMax, for example, leverages a combination of Azure OpenAI’s Chat GPT, Azure Cognitive Search, and Azure Machine Learning Responsible AI dashboard to design their own data-driven AI solution. When you partner with Azure, you gain access to pre-trained large language models that are enterprise-ready and it’s exciting to see customers combine our products to create their own digital IP with the same building blocks Microsoft trusts for its products.

 

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