In today’s data-driven world, we’re witnessing a peculiar paradox -- on one side, tech giants and established corporations are drowning in vast oceans of data, struggling to extract meaningful insights from information overload. These data-rich entities often find themselves paralyzed by the sheer volume and complexity of their datasets, unable to harness their full potential. On the flip side, emerging startups and traditional industries are desperately seeking more data to fuel their AI initiatives and decision-making processes.
In this episode, we discuss:
1. How we moved from a data scarce to a data abundant world?
2. How this massive, growing ocean of data is fuelling data-hungry language models
3. Why are businesses finding it difficult to harness the power of Big Data?
4. Are businesses re-thinking investments in AI?
Guest: Nitin Seth, author of Mastering The Data Paradox and CEO of Incedo Inc.
Host: John Xavier, Technology Editor, The Hindu.
Produced by Jude Francis Weston
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