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    EP 232: Creating and Capturing Business Value with GenAI - Insights From HPE

    EP 232: Creating and Capturing Business Value with GenAI - Insights From HPE

    Awesome Stuff From Our Partner, NVIDIA -
    Register for the FREE virtual NVIDIA GTC Conference or buy tickets to the in-person event and fill out this form here: https://www.youreverydayai.com/nvidia-giveaway/

    Every business leader is wondering: How can you create value company-wide with Generative AI? And how can you actually capture that value and show the impact?
    Evan has some answers. Evan is the General Manager and VP for AI Solutions & Cloud at Hewlett Packard Enterprise.

    Join us as we get answers from an HPE leader in the GenAI Enterprise space as part of our partnership with NVIDIA at the NVIDIA GTC conference.

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    More on this Episode: Episode Page
    Join the discussion: Ask Jordan and Evan questions on GenAI and business value

    Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
    Website: YourEverydayAI.com
    Email The Show: info@youreverydayai.com
    Connect with Jordan on LinkedIn

    Timestamps:
    00:00 About Evan and HPE
    05:11 Blindly trusting tools leads to data leaks.
    08:40 Enterprise search evolving to synthesize and respond.
    10:46 Cloud providers and software vendors handle basics
    13:47 Genai tools make analysts more efficient, valuable.
    16:18 Data is essential for significantly better models.

    Topics Covered in This Episode:
    1.  Creating value in business with generative AI
    2. Adoption and Effectiveness of Generative AI
    3. Customer and Industry Involvement
    4. Pitfalls and Successes with Generative AI
    5.  HPE Collaboration with NVIDIA

    Keywords:
    generative AI, business value, ChatGPT, language models, NVIDIA GTC conference, AI Solutions, HPE, hardware, infrastructure, enterprise customers, computer vision, deep learning, NLP, generative AI, customer experience, retailer, search, mobile app, data security, privacy, cost, small model, large language model, AI workloads, cloud, data centers, RAG, enterprise search, document store, software, microservices, venture, data, moat