• Now Next Later AI — Artificial Intelligence Strategy and Transformation

  • 著者： NowNextLater.ai
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Now Next Later AI — Artificial Intelligence Strategy and Transformation

著者： NowNextLater.ai
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  • Only 10% of companies get significant financial benefits from artificial intelligence technologies. Successful AI initiatives rethink business processes and workflows with the goal of optimizing them for AI-enabled automation, decision-making, and other capabilities. In fact, those engaging in extensive business process changes are 5 times more likely to realize significant financial benefit. However, the AI Transformation blueprint differs significantly from previous approaches to Digital Transformation. Subscribe to learn how.
    NowNextLater.ai
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あらすじ・解説

Only 10% of companies get significant financial benefits from artificial intelligence technologies. Successful AI initiatives rethink business processes and workflows with the goal of optimizing them for AI-enabled automation, decision-making, and other capabilities. In fact, those engaging in extensive business process changes are 5 times more likely to realize significant financial benefit. However, the AI Transformation blueprint differs significantly from previous approaches to Digital Transformation. Subscribe to learn how.
NowNextLater.ai
マネジメント 経済学
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エピソード
  • Responsible Generative AI Business Applications

    Responsible Generative AI Business Applications
    2023/09/19

    Our books: https://www.nownextlater.ai/aibooks Our Insights: https://www.nownextlater.ai/Insights/ Our AI Academy: https://www.nownextlater.ai/AIAcademy 01:16 Search 02:07 Conversational Aid 03:45 Summarization 03:55 Background Knowledge 05:22 Education 07:19 Coding 09:10 Brainstorming 09:26 Writing Aids 10:25 Fiction Writing 13:13 Defining Your Use Case
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    16 分
  • Large Language Models: Looking Under the Hood

    Large Language Models: Looking Under the Hood
    2023/08/22

    Hey there! It's Inês here. I work with businesses on generative AI. Here's something I've observed: - Some leaders are very enthusiastic, seeing huge potential for productivity gains with AI . - Others are cautious, concerned about issues like "the bots hallucinate" and prefer to wait. It's crucial to strike a balance. I recently hosted a webinar where I discuss the real workings of these AI models, what they can and can't do, and how best to approach them. Simple, but informed insights. ⁠ http://www.nownextlater.ai⁠
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    47 分
  • Generative AI Benchmarks: Evaluating Large Language Models

    Generative AI Benchmarks: Evaluating Large Language Models
    2023/08/07

    There are many variables to consider when defining our Generative AI strategy. Having a clear understanding of the use case/business problem is crucial. However, a good understanding of benchmarks and metrics helps business leaders connect with this new world and its potential.

    So whether you are intending to: 

    • select a pretrained foundation LLM (like OpenAI's GPT-4) to connect via API to your project, 
    • select a base open-source LLM (like Meta's Llama 2) to train and customize, 
    • or looking to evaluate the performance of your LLM 


    the available benchmarks are crucial and useful in this task. In this video we will explore a few examples.
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    13 分

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