Microsoft Open AI workshop

Value proposition: - At OpenAI, we are at the forefront of innovation, leveraging state-of-the-art artificial intelligence technologies to unlock boundless possibilities for our partners and clients.

Our platform offers a diverse range of advanced AI services, meticulously crafted to meet the evolving needs of businesses across industries. From natural language processing and generation to image recognition, autonomous systems, and beyond, OpenAI empowers organizations to harness the transformative potential of AI. Through our collaborative approach, we work closely with our clients to understand their unique challenges and objectives, tailoring AI solutions that drive tangible results and foster sustainable growth. Whether it's enhancing customer experiences, optimizing operations, or unlocking new revenue streams, OpenAI is dedicated to delivering unparalleled value and innovation. By partnering with OpenAI, you gain access to a world-class team of AI experts, cutting-edge research, and scalable infrastructure, enabling you to stay ahead of the curve in today's rapidly evolving digital landscape. Experience the future of AI with OpenAI—where imagination meets intelligence, and possibilities are limitless.

Business Audience – This workshop is intended for solution architects, cloud practitioners, data scientist, statistician in learning about open AI and Gen AI, and business users interested in learning about Microsoft Fabric and its capabilities for data ingestion, transformation, and analytics

Target Industry - Automotive, Mobility, Transportation, Financial Services, Hospitality & Travel, Industrials & Manufacturing, Retail & Consumer goods

Functional use cases: -

1. Intelligent Document Processing for Compliance (Legal)-Using generative AI to automate the extraction, analysis, and categorization of legal documents, ensuring compliance and reducing manual workload.
2. AI-Powered Customer Support (Customer Service)-Implementing chatbots and virtual assistants to handle customer inquiries, provide support, and generate responses based on customer history and preferences.
3. AI-Driven Market Analysis (Finance)-Using generative AI to analyse market trends, predict stock performance, and generate investment recommendations.

Technical Use-cases: -

1. Organizations aiming to improve customer service and support with generative AI-driven chatbots and virtual assistants
2. Organizations looking to enhance their marketing strategies through generative AI-powered content generation and personalization
3. Organizations focusing on improving fraud detection and prevention using generative AI and machine learning algorithms by using it in counterparty risk assessment and scoring by leveraging generative AI.
4. Organizations looking to enhance legal and compliance operations using generative AI to analyze legal documents, generate contract clauses, and ensure compliance with regulations.