Tiff in Tech Podcast

The Top 5 Technologies to learn in 2025
0:00

Intro   (1:07)

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  • Introduces the rapid pace of tech innovation and its impact
  • Highlights the changing nature of human-computer interaction across decades
  • Previews the importance of learning new technologies for 2025
    • 0:00

  • Tech Evolution Overview   (1:07)

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  • Discusses overwhelming pace of tech changes
  • Emphasizes importance of strategic learning focus
  • Introduces concept of staying ahead of the curve
    • 1:07

    Multimodal AI   (2:16)

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  • Explains how multimodal AI processes multiple types of input simultaneously
  • Presents BMW factory case study showing practical applications
  • Discusses career implications and learning resources
    • 1:07

  • AI Sensory Integration   (1:00)

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  • Compares AI processing to human sensory integration
  • Explains multimodal AI's ability to process various inputs
  • Describes real-time processing capabilities
    • 2:07

  • Industrial Applications   (1:16)

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  • Details BMW factory implementation case study
  • Outlines cost savings and efficiency improvements
  • Discusses learning resources and career opportunities
    • 2:16

    Deep Learning AI   (0:29)

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  • Presents key learning resources for multimodal AI
  • Highlights Stanford's CS231n and Fast.ai courses
  • Emphasizes industry adoption across major tech companies
    • 2:45

    Quantum Ready Programming   (1:52)

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  • Introduces quantum computing's potential impact on encryption
  • Discusses applications in medicine and vaccine development
  • Highlights learning resources and career opportunities
    • 2:45

  • Quantum Fundamentals   (1:00)

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  • Explains quantum computing basics
  • Discusses impact on current encryption
  • Outlines potential applications
    • 3:45

  • Industry Applications   (0:52)

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  • Details Moderna's quantum computing implementation
  • Discusses protein folding simulation improvements
  • Presents learning resources and career paths
    • 4:37

    Extended Reality   (1:44)

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  • Discusses spatial computing and VR/AR applications
  • Presents IKEA case study in furniture visualization
  • Details learning resources for XR development
    • 4:37

  • XR Evolution   (1:00)

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  • Compares XR evolution to smartphone revolution
  • Introduces spatial computing concepts
  • Discusses Vision Pro and Quest 3 capabilities
    • 5:37

  • Commercial Applications   (0:44)

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  • Details IKEA's AR furniture visualization
  • Discusses reduction in returns
  • Outlines learning resources
    • 6:21

    Edge Computing   (1:04)

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  • Explains Edge AI and tiny machine learning
  • Presents John Deere case study in smart farming
  • Discusses impact on IoT devices and efficiency
    • 7:25

    TensorFlow   (0:25)

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  • Introduces TensorFlow Light tutorials
  • Discusses Edge computing implementation
  • Highlights importance of efficient AI deployment
    • 7:50

    Advanced ML Operations   (0:43)

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  • Explores evolution beyond basic ChatGPT applications
  • Presents Mayo Clinic case study in healthcare AI
  • Details LLM customization and deployment strategies
    • 8:33

    Resources   (1:25)

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  • Provides comprehensive learning resources for each technology
  • Emphasizes continued learning opportunities
  • Concludes with encouragement for future technology adoption
    • 8:33

  • Final Overview   (1:25)

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  • Summarizes key technologies to focus on
  • Provides specific learning resource recommendations
  • Concludes with call to action and future outlook