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  • Generative AI and its use cases for enterprise applications - Oracle Blogs
    This blog gives a succinct explanation of the Generative AI landscape and how it can be applied to enterprise application We will discuss the available tools today and possible usecases In an upcoming blog, we will also discuss a specific usecase in details and see how everything comes together
  • 20 Examples of Generative AI Applications Across Industries
    Explore 20 generative AI applications across six industries, including health care, advertising and marketing, manufacturing, software development, financial services, and entertainment Generative artificial intelligence (AI) is a trend just beginning its journey to the mainstream
  • A practical guide to introducing gen AI into the enterprise - Cognizant
    Generative AI isn’t like other technology rollouts Here are 10 things companies should do to securely and effectively deploy this powerful technology For the past year, generative AI has been positioned as a technological breakthrough for enterprises
  • Generative Use Cases, Examples, Applications | IBM
    Generative AI-powered tools like ChatGPT, Google Gemini, Microsoft Copilot, Claude and Perplexity generate content including text (anything from emails to poetry), images and video These tools can also code, analyze data, brainstorm ideas, support real-time communication, solve complex math problems and more
  • GenAI and the future enterprise | Deloitte Insights
    Organizations are making big bets on generative AI Nearly 80% of business and IT leaders expect gen AI to drive significant transformation in their industries in the next three years 1 Global private investments in gen AI have skyrocketed, increasing from roughly US$3 billion in 2022 to US$25 billion in 2023 2 And that pace continues unabated with some US$40 billion in global enterprise
  • Generative AI: How it can be applied to business applications today
    Generative AI is a transformational shift in business applications By embracing generative AI, businesses can tap into unprecedented creativity, deliver personalized experiences, streamline and secure operations, enhance decision-making and foster innovation
  • Gen AI: Implementing Enterprise Level Applications
    Enterprise AI Strategy Deployment – Learn how to scale Gen AI from isolated pilots to enterprise-wide applications, ensuring business alignment Leveraging Foundation Models Open-Source AI – Explore DeepSeek, GPT-4, Claude, LLaMA, Falcon, and the advantages of developing proprietary AI models
  • 6 enterprise Gen AI applications making a big impact - Carta
    Here are six of the biggest GenAI applications that organizations are embracing right now: Financial institutions are racing to apply AI to their operations and provide tailored recommendations for customers JPMorgan Chase has filed a patent application for a GenAI-powered service to help investors choose equities
  • Deploy and operate generative AI applications - Google Cloud
    To build a generative AI application, you must choose from a diverse range of architectures and sizes, curate data, engineer optimal prompts, tune models for specific tasks, and ground
  • Empower Your Generative AI Initiatives: Building Enterprise-Ready GenAI . . .
    Our self-serve, interactive drag-and-drop interface empowers users to create GenAI applications without writing code, accelerating development and deployment LLM model-agnostic connectors: Connect, access and transfer data to any open or custom LLM





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