#36 Your AI Knowledge Assistant for Work: Instant Answers from Internal Data | Prasad Kawthekar from Dashworks
Description
Prasad Kawthekar is the CEO and Co-founder of Dashworks, based in San Francisco. With a background in machine learning, he has experience as an ML Scientist at Blue River Technology and a Founding AI Engineer at Cresta. Prasad holds a Master's degree in Computer Science from Stanford University and a Bachelor's degree from the University of Wisconsin-Madison. His expertise lies in artificial intelligence and technology innovation.
Dashworks is a knowledge assistant that helps employees find the information they need while also increasing productivity. Dashworks is where all documents, messages, tickets, and other knowledge scattered across a company's apps and people come together seamlessly. Dashworks assists every organization in growing more efficiently and effectively — and in motivating every person to get things done.
This episode covers the inspiration behind Dashworks, its core use cases, and capabilities. Prasad discusses frameworks for adapting to changing environments, upcoming AI integrations, and the pros and cons of raising funds versus bootstrapping. He also shares insights into the challenges of building a product, the nuances of integrating AI, and the potential of leveraging Retrieval-Augmented Generation (RAG). The conversation wraps up with thoughts on the future of AI and managing increasing data volumes.
IN THIS EPISODE
00:02:36 Why Dashworks
00:06:40 Core use cases and capabilities
00:12:21 Frameworks for an ever-changing environment
00:17:02 Upcoming AI integrations
00:19:42 Raising vs bootstrapping
00:21:49 Behind-the-scenes challenges in product building
00:25:45 Integrating AI vs. building AI
00:29:22 Leveraging RAG as a foundation
00:36:33 The future of AI
00:39:47 Managing exponentially increasing data
00:47:25 Other cool AI companies
LINKS & RESOURCES
https://www.dashworks.ai/
https://www.linkedin.com/company/dashworksai/
https://www.linkedin.com/in/prasadkawthekar/
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