From the course: Microsoft Azure AI Essentials: Workloads and Machine Learning on Azure
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Practical application of generative AI in business
From the course: Microsoft Azure AI Essentials: Workloads and Machine Learning on Azure
Practical application of generative AI in business
- [Presenter] Generative AI technologies like Azure OpenAI are transforming how businesses operate. Many companies have already harnessed these tools to enhance productivity, streamlined processes, and improve customer experiences. Let's explore a few examples. Schneider Electric, a leader in digital transformation for energy management and automation leverages generative AI to empower customers and optimize internal operations. They've implement it in several ways. Resource Advisor Copilot is a digital companion embedded within their resource advisor system, which enhances data analysis, visualization, and decision support. Jo-Chat GPT is an internal assistant based on Azure OpenAI service, which allows employees to securely access generative AI capabilities. Finance Advisor is an assistant that simplifies the search for precise financial data, aiding global finance teams in achieving consistent, compliant and timely decisions. Knowledge Bot is a tool for customer care. It provides…
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Contents
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Overview of generative AI2m 40s
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Traditional model development vs. foundation models4m 16s
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Token, embeddings, transformer model3m 19s
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Using language models: LLM vs. SLM2m 30s
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Improving your prompts4m 4s
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Introduction to Microsoft Copilot3m 25s
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Customizing language models2m 51s
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Introduction to Azure AI Foundry2m 35s
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Introduction to Azure OpenAI1m 29s
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Practical application of generative AI in business3m 34s
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Azure AI Foundry demo4m 5s
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