{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Crazy Wisdom","title":"The AI Frontier: Knowledge Management's Next Chapter","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/829195d6\"></iframe>","width":"100%","height":180,"duration":2734,"description":"Prasad Kawthekar is the CEO of Dashworks.ai\n  The Evolution of Enterprise Software:\n Three waves of enterprise software:  On-premise enterprise software.\nSoftware deployed top-down on the internet.\nThe third wave we currently live in: SaaS consumers.\nChallenges are becoming increasingly pronounced.\n Comparing Web Search with Internal Searches:\n Web search benefits from standardized languages and platforms, such as HTML.\nInternal company applications deal with varied data sources and lack user data for training.\n The Role of AI in Knowledge Management:\n AIs excel at parsing unstructured data.\nLegacy products relied on custom parsers and integrations, making maintenance challenging.\nModern AIs, such as LLMs, offer real-time, generalizable solutions.\nLLMs negate the need for data indexing and simplify integrations.\n Challenges in Data Analytics:\n Many teams aspire to be data-driven.\nNavigating data warehouses can be intricate.\nEnsuring accurate, relevant data is paramount.\n AI's Potential and Limitations:\n AIs can pinpoint unstructured data, like Zoom transcripts and Slack messages, but human interpretation is crucial.\nCurrent AI technology has boundaries in terms of memorization, accuracy, and relevance.\nThe future vision: intuitive AI tools that everyone can use, even without technical expertise.\n The Evolution of Software Development with AI:\n Coding is moving towards more abstraction, making it as simple as conversing with a person.\nProgrammers are becoming more productive.\nA potential surge in the number of people who can create custom tools using AI.\n Economic and Technical Implications of AI:\n Speculating on the future economy and the role of AI.\nInfrastructure challenges, including storage, database, and compute layers.\nThe promising direction of infrastructure provisioning using AI.\n Future Directions for Dashworks:\n Emphasizing data warehousing and analytics.\nThe significance of manipulating APIs and building reliable systems.\nAmbitions for the upcoming...","thumbnail_url":"https://img.transistorcdn.com/UZbrDrlO5VTfDNcq188THwbv0T09vcmLyzx3BcPI9bs/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS81Y2Rj/OGFiMTYyMGFkNTM5/N2NjOWI2MWM5YzQ1/YTc2Ny5qcGc.webp","thumbnail_width":300,"thumbnail_height":300}