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AnalyticsToday Podcast

AnalyticsToday Podcast

著者: Jeremy Roberts and Sameer Khan
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#AnalyticsToday is a podcast focused on Big Data, Marketing and Analytics and the latest trends in the digital world. Hosted by Jeremy Roberts and Sameer Khan.© 2023 AnalyticsToday Podcast マーケティング マーケティング・セールス 経済学
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  • AI vs Authenticity - Race to Business Transformation
    2025/03/14

    In this show Dr. Jeremy Roberts, Sameer Khan, and show guest Jason Zimmerman discuss the role of AI in human authenticity and how to protect the human element.

    Key Points:

    • AI is changing business, but authenticity is essential.
    • Blind automation risks losing trust and connection.
    • The goal: Balance AI efficiency with human influence.
    • AI automates, analyzes, and generates, but lacks genuine experience.
    • AI struggles with intuition, judgment, and emotional intelligence.
    • Trust is built through real human interactions.
    • Use AI for "Quantum Delegation" to remove operational friction, focus on high-value work.
    • AI amplifies decisions, it doesn't replace them.
    • AI can't replicate intangibles like body language, trust, and emotional intelligence.
    • AI predicts, but lacks accountability.
    • Successful companies automate strategically, not fully.
    • Use AI to remove friction, not human connection.
    • Influence relies on human presence, which AI can't replicate.
    • Focus on AI-enabled influence, not AI-controlled influence.
    • Ensure AI enhances work, rather than diminishing impact.
    Sell faster, smarter & better: Apollo AI
    Harnesses database of 250M+ contacts & sales engagement signals to create hyper-personalized AI msg

    Disclaimer: This post contains affiliate links. If you make a purchase, I may receive a commission at no extra cost to you.

    Support the show

    Follow us on Twitter @sameerkhan or @jeremyaroberts or leave us a review on iTunes: https://podcasts.apple.com/us/podcast/analyticstoday-podcast/id1044308732

    Subscribe to our free AI to ROI newsletter

    Consult with us


    www.analyticstodaypodcast.com

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    49 分
  • 10 AI, Digital and Data Predictions/Trends for 2025
    2024/12/14

    Top 10 AI, Digital, and Data Predictions/Trends for 2025

    Jeremy and Sameer are back after their sabbatical with the latest episode of the Analytics Today Podcast. As we step into 2025, the digital, data, and AI landscape is evolving faster than ever. In this special episode of Analytics Today, we unveil our top 10 predictions that will shape the future of technology, business, and innovation in the coming year. From the maturing of generative AI to the mainstream adoption of digital twins, we explore the groundbreaking trends poised to revolutionize industries.

    Discover how AI-driven personalization will transform customer experiences, why hyper-automation will become the go-to strategy for businesses, and how sustainability data will redefine decision-making. We also dive into emerging challenges, like the growing focus on AI regulation and the tightening grip of data sovereignty across the globe. Whether you’re a business leader, data enthusiast, or tech visionary, this episode is packed with insights to help you stay ahead of the curve.

    Tune in as we analyze these trends, their potential impacts, and what they mean for your organization. Don’t miss this annual tradition where we predict the future and give you the tools to prepare for it. Ready to unlock the key trends of 2025? Hit play now!

    Support the show

    Follow us on Twitter @sameerkhan or @jeremyaroberts or leave us a review on iTunes: https://podcasts.apple.com/us/podcast/analyticstoday-podcast/id1044308732

    Subscribe to our free AI to ROI newsletter

    Consult with us


    www.analyticstodaypodcast.com

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    38 分
  • MIT to CTO: Pioneering Tech Innovations in Ad Tech with Carl Livadas
    2024/05/07

    In this episode of Analytics Today, co-hosts Dr. Jeremy Robertson and Sameer Khan welcome Carl Livadas, a distinguished technology leader and CTO of Sojern. Hailing from a robust academic background at MIT and extensive experience in cybersecurity at Intel Research and BBN Technologies, Carl shares his journey from researcher to tech entrepreneur.

    Here are five key takeaways from this episode of "Analytics Today" with guest Carl Livadas:

    1. Insights into Transitioning from Academia to Tech Leadership: Carl shares his journey from an academic background at MIT to becoming a CTO, highlighting the value of adapting research skills to meet the fast-paced demands of the tech industry.
    2. Understanding the Role of AI and Machine Learning in Advertising: Carl explains how Sojern uses AI to optimize online advertising efficiency, offering a deep dive into cross-channel optimization and the balance between exploration and exploitation in ad spending.
    3. The Importance of Privacy in Online Advertising: Discussion on how the advertising industry is evolving with privacy regulations and how technologies like AI can help balance effective marketing with consumer privacy.
    4. Leadership Philosophies for Technology Managers: Carl emphasizes the importance of team dynamics, supporting individual growth within the team, and strategic planning for organizational development.
    5. Career Advice for Aspiring Tech Leaders: Carl provides actionable advice for professionals aiming for C-level positions, stressing the importance of following one's passion, choosing the right environment, and building a supportive and effective team.
    Sell faster, smarter & better: Apollo AI
    Harnesses database of 250M+ contacts & sales engagement signals to create hyper-personalized AI msg

    Disclaimer: This post contains affiliate links. If you make a purchase, I may receive a commission at no extra cost to you.

    Support the show

    Follow us on Twitter @sameerkhan or @jeremyaroberts or leave us a review on iTunes: https://podcasts.apple.com/us/podcast/analyticstoday-podcast/id1044308732

    Subscribe to our free AI to ROI newsletter

    Consult with us


    www.analyticstodaypodcast.com

    続きを読む 一部表示
    48 分

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