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Data is the lifeblood of any business, and AI is the key to unlocking its full potential. However, harnessing the volume and complexity of data from apps, services, sensors, and more can be a significant challenge to fueling impactful AI. By investing in a unified, intelligent data platform, organizations can not only save on integration costs and improve their security posture, but also enable more advanced AI capabilities. Healthcare companies like Mercy, manufacturers like Aurobay, Financial Services providers like Manulife, and other companies across industries are paving the way for AI innovation by modernizing their data with Microsoft Azure. The rise of generative AI presents an especially exciting opportunity to transform your data into a competitive advantage. For example, Atera is transforming IT Management by combining foundation models in Azure OpenAI Service with unique business data, providing customers with an all-encompassing view of IT activities to proactively identify issues, and recommend immediate solutions. Likewise, startup Commerce.AI is driving 30 to 50 percent increases in productivity for customers by using Azure OpenAI Service to extract insights from unstructured data, like customer support calls and online reviews, uncovering new growth opportunities, and automating workflows. By using foundation models as a reasoning engine—not a knowledge base—organizations can build more relevant, differentiated solutions for customers and end-users. In this month’s blog post, I’ll explore new ways that organizations can connect their business data to Azure AI to unearth meaningful insights, predictions, and actions. First, here are new learning and skilling resources to help your teams get inspired and build a proof of concept quickly... View the full article