Crazy Wisdom
The AI Frontier: Knowledge Management's Next Chapter
- AI & Agents
- Knowledge & Learning
- ai agents
- knowledge management
- enterprise software
- natural language processing
About this episode
Prasad Kawthekar is the CEO of Dashworks.ai
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The Evolution of Enterprise Software
- Three waves of enterprise software:
- On-premise enterprise software.
- Software deployed top-down on the internet.
- The third wave we currently live in: SaaS consumers.
- Challenges are becoming increasingly pronounced.
- Three waves of enterprise software:
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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.
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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.
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Challenges in Data Analytics
- Many teams aspire to be data-driven.
- Navigating data warehouses can be intricate.
- Ensuring accurate, relevant data is paramount.
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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.
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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.
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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.
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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.
Episode transcript
Welcome to the Crazy Wisdom Podcast. This podcast is for you. If you have an insane drive to find the truth of things, it's not the good answers that we seek, but the good questions. I interview a range of different guests from many different fields, all with the intention to uncover the simple truths that are hidden in plain sight. Most people don't want to go there. I go there, my guests go there, and you benefit. Please let me know if you enjoy these episodes and as always, subscribe on itunes, Spotify or wherever you listen to the podcasts.
Welcome to the Crazy Wisdom Podcast. My guest today is Prasad Kathakar. He is the CEO of dashworks and we've been using dashworks internally at Invisible for a long time now and really excited to have you on the show.
So dashworks is a single point of entry for a company's internal knowledge that is typically scattered across different apps and services like Slack or Notion or Salesforce or Google Drive. All of us use dozens of apps to get work done and what dashworks does is it centralizes the information that's scattered across them, makes it easy to access all of it from one place in a natural language experience. So think of it as a knowledge assistant that's trained on your company's data and can answer questions related to your need them.
Your first full transcript is free. After that, an email opens every transcript in the index — a list of readers we can write to, not a guest book.