Techsplainers by IBM

Techsplainers by IBM

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Techsplainers by IBM episodes

  • AI in financial planning & analysis
    This episode of Techsplainers explores AI in Financial Planning & Analysis—how machine learning and generative AI are transforming finance from number-crunchers into strategic advisors.
    11 min
  • What is extended planning analysis (xP&A)
    This episode of Techsplainers explores Extended Planning & Analysis (xP&A)—how organizations can evolve beyond traditional financial planning to create a unified, AI-powered approach across all departments.
    11 min
  • What is change data capture?
    This episode of Techsplainers explores Change Data Capture (CDC)—the technique that keeps systems synchronized by tracking and transferring only data changes rather than entire databases.
    9 min
  • What is real-time data integration?
    This episode of Techsplainers explores real-time data integration—how organizations capture and process data in milliseconds to power instant decision-making and AI applications.
    9 min
  • ELT vs. ETL: What's the difference?
    This episode of Techsplainers breaks down the key differences between ETL and ELT data integration approaches, explaining when to use each method for optimal data processing.
    6 min
  • What is data integration?
    This episode of Techsplainers explores data integration—the process of combining scattered information into usable insights, from ETL to real-time approaches and their business benefits.
    7 min
  • What is an identity fabric?
    This episode of Techsplainers explores identity fabric: the integration layer that unifies disparate identity systems across hybrid environments to eliminate security gaps and enable consistent control.
    8 min

About Techsplainers by IBM

From the publisher's feed

Introducing the Techsplainers by IBM podcast, your new podcast for quick, powerful takes on today’s most important AI and tech topics. Each episode brings you bite-sized learning designed to fit your day, whether you’re driving, exercising, or just curious for something new.