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  • #46 - AI in the USA: Policies, Diversity, and Remote Work with Sahaj Vaidya
    2024/12/23

    🎙️ In this episode of The AI Coffee Podcast, host Alejandro Pérez Pérez sits down with Sahaj Vaidya, to discuss the evolving landscape of AI policies, the future of USA and India, and the role of women in technology. Sahaj shares her insights on human-machine collaboration, AI governance, and her work with the AI Education Network. Whether you're a tech enthusiast or just starting your journey in AI, this episode provides valuable perspectives on how we can shape a responsible and inclusive AI-driven future. 🚀 Tune in now for a thought-provoking conversation that bridges the gap between policy and technology!

    📩 For more info, connect with Alejandro Pérez Pérez or Sahaj Vaidya, and visit alejandroperezperez.com for services in AI and machine learning consulting.

    📕 https://www.nist.gov/itl/ai-risk-management-framework/nist-ai-rmf-playbook

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    42 分
  • #45 - Can AI Detect AI? Exploring the World of Chat GPT Detectors
    2024/12/16

    In this episode, I, Alejandro Pérez Pérez, tackle the growing phenomenon of Chat GPT Detectors. As more people turn to AI for content creation, questions about authenticity, originality, and detection become more pressing. But how do these AI detectors work, and are they reliable?

    We’ll explore the technology behind GPT Detectors, their limitations, and the ethical considerations around detecting AI-generated content. This episode is perfect for anyone involved in AI, content creation, or anyone interested in the evolving relationship between humans and machines.

    Let’s connect on LinkedIn for more insights and collaborations: Alejandro Pérez Pérez

    #AI #MachineLearning #ChatGPT #ContentAuthenticity #TechEthics

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    15 分
  • #44 - The role of a CEO in an AI company with Bertrand K. Hassani
    2024/12/09

    In this episode of The AI Coffee Podcast, Bertrand K. Hassani, Group CEO of QUANT AI Lab, joins Alejandro Pérez Pérez to explore the future of AI in business, the rise of quantum computing, and the ethical challenges of machine learning. With a rich background in risk management, Bertrand also shares insights on how AI is transforming industries like finance and cybersecurity. Tune in for a thought-provoking conversation on AI, strategy, and leadership. Connect with Alejandro and Bertrand.

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    50 分
  • #43 - Top Predictive Models in AI: Which One is Right for Your Project?
    2024/12/02

    In today’s episode, I, Alejandro Pérez Pérez, take you on a journey through the landscape of predictive models in AI. With so many models available, choosing the right one can be a daunting task. I’ll break down some of the top models like Linear Regression, Decision Trees, and Neural Networks, explaining when and how to use each one effectively.

    Whether you're a data scientist, an AI enthusiast, or a business leader looking to make data-driven decisions, this episode will help you understand the nuances of model selection. Tune in for practical advice on making the most of your data with the right predictive model.

    Connect with me on LinkedIn for consulting and guidance: Alejandro Pérez Pérez

    #AI #MachineLearning #PredictiveAnalytics #DataScience

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    22 分
  • #42 - The Future of Teams and Remote Work with AI: Lessons from Dan Chuparkoff.
    2024/11/25

    Join host Alejandro Pérez Pérez as he interviews Dan Chuparkoff, a renowned AI and innovation expert who has worked with tech giants like Google, McKinsey, and Atlassian. Dan shares insights into how AI is reshaping the future of work, innovation, and team collaboration. Whether you're navigating a startup or leading a big enterprise, this episode will inspire and equip you to harness the power of AI. 🌍☕ Learn more about Alejandro on LinkedIn and Dan. For inquiries, visit alejandroperezperez.com.

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    45 分
  • #41 - Microsoft Copilot: Is It Worth the Investment for Your Team?
    2024/11/18

    In this episode, I, Alejandro Pérez Pérez, take a critical look at Microsoft Copilot, the AI-driven assistant that promises to streamline tasks across Microsoft 365 apps. Copilot has the potential to transform productivity – but only if users understand how to make the most of it.

    Without proper training, Copilot’s functionality may go underutilized or misused, leading to frustrations instead of benefits. I’ll explain why training is the key to unlocking Copilot’s real value, with practical insights on how companies can maximize their investment in this AI tool.

    Interested in a training program for Microsoft Copilot? Connect with me on LinkedIn: Alejandro Pérez Pérez

    #MicrosoftCopilot #AIInTheWorkplace #Productivity #AITraining #FutureOfWork

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    13 分
  • #40 - Becoming a Data Ninja with Marta Arroyo.
    2024/11/11

    Join us as we chat with Marta Arroyo, Big Data and AI Specialist and founder of Datos Ninja, about the future of Machine Learning, the role of communities in tech education, and her journey from Telefónica to building her own consultancy. Marta also shares insights on creating educational content and the importance of making AI accessible. Connect with Alejandro Pérez Pérez and Marta Arroyo.

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    43 分
  • #39 - AI in 2024 US Elections. The Good, The Bad, The Future.
    2024/11/04

    In this episode of The AI Coffee Podcast, Alejandro Pérez Pérez explores the powerful influence of artificial intelligence on the 2024 US elections. From advanced voter analytics to automated election processes, AI has reshaped campaign strategies and brought new ethical dilemmas to the forefront. We discuss real-world cases, like Kamala Harris’s AI-assisted voter segmentation strategies and deepfake disinformation risks, diving into the multifaceted role of AI in politics.

    Key Topics in This Episode:

    • AI for Voter Targeting: How campaigns are using data and algorithms to tailor messages and reach key voting segments effectively. More on this
    • Predictive Election Models: The rise of AI-driven prediction tools that help campaigns strategize based on estimated voter outcomes. More details
    • Deepfake Risks & Misinformation: How AI-generated content could impact voter trust and public discourse in elections. Read the full article

    Alejandro also covers the ethical landscape of AI in politics, such as the need for transparency, accountability, and safeguards to mitigate algorithmic biases that could sway elections unfairly. As AI technology becomes an integral part of modern democracy, we explore the need for balanced, ethical frameworks.

    For further reading and references, check out:

    • AI and Democracy: Brennan Center
    • Deepfake Concerns in 2024 Elections

    Connect with your host, Alejandro Pérez Pérez, on LinkedIn: Alejandro’s LinkedIn

    Join us for a thought-provoking look into AI’s role in both strengthening and challenging democratic practices.

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    25 分