OpenAI leverages Azure Blob Storage scaled accounts for seamless AI data management at exascale. With consistent throughput and scalability, it powers everything from model training to customer-facing applications like ChatGPT and DALL-E, simplifying operations and supporting AI innovation

Learn more: https://aka.ms/OpenAIcasestudy

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In this series, we interview Microsoft partners at various stages of their software as a service (SaaS) journey and learn about their experiences building, publishing, and growing on the Microsoft commercial marketplace.

In this episode, we speak to Preezie's Michael Tutek, Co-Founder & CEO, and Quoc Ngyen, Co-Founder & CFO, and learn how they saw an opportunity to reimagine the retail experience, building transformative services with Generative AI on the Microsoft Cloud.

Access resources to help you maximize the marketplace opportunity, engage in discussions and Q&A, and provide feedback: https://msft.it/6058UWlKE

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Azure AI Foundry Labs, is a hub for developers, startups, and enterprises to explore groundbreaking innovations from research at Microsoft. Foundry Labs unites cutting-edge research with real-world applications, to enable developers and creators across industries to discover new possibilities, solve complex problems, and share insights to shape the future of AI. 

Try Azure AI Foundry Labs (https://msft.it/6058UavXQ)

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Watch Microsoft VP Marco Casalaina interview Prem Akkaraju, CEO of Stability AI as they discuss generative media, which includes visual and audio. For Stability, the visual media world includes target industries including TV, film, gaming, advertising, marketing and more. Marco and Prem also touch on topics such as how Stability approaches Responsible AI and the benefits Azure AI Foundry brings to Stability. Azure aligns with Stability's vision of making their tools more accessible in the cloud in a safe and secure manner. Prem and Marco wrap with quick thoughts looking ahead to what's next.

Visit the Azure AI Model Catalog: https://msft.it/6059UmTiH

Check out the new additions from Stability AI:

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Learn more about o3-mini and RAG for Financial Analysis on the Azure OpenAI Service: https://msft.it/6053UeDf3

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Demo of Fraud Detection with the o3-mini model on the Azure OpenAI Service.

Learn more: https://msft.it/6052UkOd8

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Announcing the availability of the o3-mini model on Azure OpenAI Service. Learn more: http://aka.ms/o3-mini

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Learn more about Azure AI Agent Service here:
https://msft.it/6057UVVDc
https://msft.it/6058UVVDY

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Discover the various deployment options available with Azure OpenAI Service for building and deploying AI workloads.

This video explores three main deployment options:
1. Standard: Ideal for medium-to-low volume workloads with inconsistent bursts, offering cost optimization by paying per API call and only for the tokens you use.
2. Batch: Makes bulk inference efficient and cost-effective, cutting costs by 50% compared to standard rates. Deploy a global batch model, upload your batch file, and track progress as jobs process asynchronously within 24 hours.
3. Provisioned: Suitable for scaling AI workloads with consistent performance and capacity, providing predictable latency and low variability on processing prompts and generating completions. Offered in multiple timeframe options including hourly on-demand with optional monthly and yearly commitments for discounted rates.

Additionally, the video highlights the Data Zones feature, which balances cost-efficiency and control by allowing global or regional deployments. This makes it easier for enterprises to manage their AI applications without sacrificing security or speed.

Deploy Azure OpenAI Service models that work best for you!
Learn More: https://msft.it/6053UVpgl

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“I like to think about proprietary data as an organization’s collective intelligence,” says Teresa Tung, Global Lead of Data Capability at Accenture. Teresa is a prolific inventor, holding over 225 patents and applications, and she leads the vision and strategy that ensures that Accenture is prepared for ever-changing data advancements. In this episode, Susan and Teresa discuss the changing nature of data and its value to an AI strategy. Teresa shares six insights to help organizations derive value from their proprietary data, including: the importance of unstructured data, the potential of synthetic data; why context is key for AI; data governance and security; and how generative AI can jumpstart data readiness. It’s a master class in data strategy, and a must-listen for anyone who is curious about how to get the most from their data, AI and cloud investments.

Related: 6 insights to make your data AI-ready, with Accenture's Teresa Tung https://aka.ms/teresatungblog

Air Date: January 28, 2025

Chapters:
00:00 – 00:56 Introduction
00:56 – 03:41 The business value of proprietary data. Why your proprietary data is a core competitive advantage.  
03:41 – 8:22 The importance of unstructured data. How generative AI can help unlock the value of your unstructured data.
8:22 – 14:13 The potential of synthetic data. How synthetic data can help fill in data gaps and enable organizations to explore multiple scenarios while mitigating cost and risk.
14:13 – 19:02 Data governance and security. The importance of understanding your data governance and security landscape, and how it changes with AI.
19:02 – 23:02 How generative AI can jumpstart data readiness. Understand data, map relationships across data and concepts, and write programs, testing and documentation. 
23:02 – 25:19 Conclusion. Susan shares takeaways from the conversation and the future of data and AI.

Find this episode on:
Spotify: https://aka.ms/leadingtheshift-spotify
Apple Podcasts: https://aka.ms/leadingtheshift-apple
Amazon Music: https://aka.ms/leadingtheshift-amazonmusic
Leading the Shift Podcast: https://aka.ms/leadingtheshift
About the Leading the Shift podcast:

The AI platform shift brings immense opportunity, but the road to success isn’t always clear. On Leading the Shift, we talk to people doing just that—leading the platform shift in organizations of all kinds to learn with them along the way. Guests share personal experiences and pragmatic advice for navigating first-of-their-kind challenges and delivering meaningful, trustworthy innovation to their teams, customers, and communities. Whether you’re a decision-maker, a developer, or just curious about this new era of tech, join us to hear how real people tackle real innovation, in real life.

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Learn more about Microsoft Azure here: https://azure.microsoft.com

For more executive insights on cloud and AI innovation, visit: https://azure.microsoft.com/explore/innovation-insights/

The Leading the Shift podcast is a place for experts to share their insights and opinions. As students of the future of technology, Microsoft values inputs from a diverse set of voices. That said, the opinions and findings of our guests are their own and they may not necessarily reflect Microsoft's own research or positions.

Listen. Like. Subscribe: https://msft.it/6054UOXKG

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