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From GenAI Experimentation to Deploying Solutions at Scale: the Latest in Azure Data, AI, and Digital Applications | Microsoft Azure Blog

From GenAI Experimentation to Deploying Solutions at Scale: the Latest in Azure Data, AI, and Digital Applications | Microsoft Azure Blog



The second year of the AI era is focusing on implementation and realizing the value of AI for organizations. Microsoft has introduced a range of updates and tools to assist businesses in evaluating their readiness for AI adoption. These updates include the Azure AI Studio for evaluating AI-powered applications before deployment, AI-ready data solutions in Microsoft Fabric for retailers, and advancements in the LLMOps Maturity Model for operational excellence in generative AI. Additionally, new features in Azure SQL Database Hyperscale and Azure AI Search integration have been introduced to support AI applications’ performance and scalability.

Microsoft has been recognized as a leader in AI Governance Platforms by IDC, reflecting the company’s commitment to safe and responsible AI deployment. Azure Partners are provided with offerings such as Azure Migrate and Modernize and Azure Innovate to help customers accelerate their cloud journey and capitalize on technological innovations like AI transformation.

The company also offers workshops to help partners implement industry-specific AI solutions and builds AI skills for responsible AI development. Examples of successful AI integration include Walmart’s generative AI-powered capabilities, Windstream’s AI utilization for customer service improvements, and Ally Financial’s use of Azure OpenAI Service to streamline processes. Microsoft has also partnered with Cognite to build an industrial data operations platform using Microsoft Fabric and Azure OpenAI Service.

Moreover, Microsoft’s Quantum team utilized advanced AI to screen over 32 million candidates to discover a new material for better batteries in just 80 hours. This achievement showcases the potential of AI in scientific discoveries and highlights the convergence of AI and high-performance computing to accelerate innovation.

With the average return on AI investments reported to be $3.5 for every $1 invested and businesses seeing returns in 14 months, the era of AI presents a significant opportunity for organizations. Microsoft Azure offers a comprehensive and responsible AI toolset along with expert guidance to help businesses navigate and leverage the benefits of AI in their operations.

Article Source
https://azure.microsoft.com/en-us/blog/whats-new-in-azure-data-ai-and-digital-applications-are-you-ready-to-go-from-genai-experimentation-to-solutions-deployed-at-scale/

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