The AI Frontier: Knowledge Management's Next Chapter
OCT 09, 2023
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About

Prasad Kawthekar is the CEO of Dashworks.ai

  • The Evolution of Enterprise Software:

    • Three waves of enterprise software:
      1. On-premise enterprise software.
      2. Software deployed top-down on the internet.
      3. The third wave we currently live in: SaaS consumers.
    • Challenges are becoming increasingly pronounced.
  • Comparing Web Search with Internal Searches:

    • Web search benefits from standardized languages and platforms, such as HTML.
    • Internal company applications deal with varied data sources and lack user data for training.
  • The Role of AI in Knowledge Management:

    • AIs excel at parsing unstructured data.
    • Legacy products relied on custom parsers and integrations, making maintenance challenging.
    • Modern AIs, such as LLMs, offer real-time, generalizable solutions.
    • LLMs negate the need for data indexing and simplify integrations.
  • Challenges in Data Analytics:

    • Many teams aspire to be data-driven.
    • Navigating data warehouses can be intricate.
    • Ensuring accurate, relevant data is paramount.
  • AI's Potential and Limitations:

    • AIs can pinpoint unstructured data, like Zoom transcripts and Slack messages, but human interpretation is crucial.
    • Current AI technology has boundaries in terms of memorization, accuracy, and relevance.
    • The future vision: intuitive AI tools that everyone can use, even without technical expertise.
  • The Evolution of Software Development with AI:

    • Coding is moving towards more abstraction, making it as simple as conversing with a person.
    • Programmers are becoming more productive.
    • A potential surge in the number of people who can create custom tools using AI.
  • Economic and Technical Implications of AI:

    • Speculating on the future economy and the role of AI.
    • Infrastructure challenges, including storage, database, and compute layers.
    • The promising direction of infrastructure provisioning using AI.
  • Future Directions for Dashworks:

    • Emphasizing data warehousing and analytics.
    • The significance of manipulating APIs and building reliable systems.
    • Ambitions for the upcoming six months, such as enhancing API call functionalities.
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