Milind Joshi Supercharges Partner Revenue with AI-Powered Solutions at WorkSpan
Milind Joshi, Co-Founder & CTO at WorkSpan
Co-Founder & CTO at WorkSpan
Milind Joshi is co-founder and CTO of WorkSpan. He loves architecting systems and creating technology to solve real-world challenges. Prior to WorkSpan, Milind was Director of Engineering of Aster Data Systems, and has extensive work experience at EMC, Kazeon, Intransa, Sun and TCS. He holds a patent on Use of External Services with Clusters. He has a Masters in Technology in Computer Science from IIT Bombay.
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WorkSpan has created solutions for co selling with your partners to grow partner revenue for doing bidirectional integrations, always in sync, always on and on, and real time information which helps you to work with your partners
WorkSpan's AI strategy is to make our alliance managers super alliance managers. So we use AI + Human squared as part of philosophy for building our AI solutions. So when partner managers are using WorkSpan they are able to do more work, they are able to handle more partners, they are able to get better insights and build valuable partnerships based on WorkSpan's information.
As part of AI solution, AI stack, vector database is a key component of AI stack. When we are building sales based solutions that vectorizing data to answer questions about your partner related processes, getting insights into data, all this requires taking the data, converting it, vectorizing it, doing the searches. We want a vecotr database which is very well proven, enterprise class fast and DataStax is the product that we are using for building our AI vector database solution.
For AI technology that generating embeddings using embedding models, RAG, LangChain for coordinating vector database for storage we are building using commoditized AI technologies, LLMs. We are building stacks such a way that we are able to choose the LLM which is right LLM for right problem.
So we are not just focusing ourselves to a single LLM but using multiple LLMs other is that for security or result verification, AI guardrails is becoming very important. So we are incorporating guardrails in our stack.
AI technology is changing rapidly. Choosing the right technology, educating, training our engineers to choose the right technology has been is one of the challenge because what you build today could become obsolete within a months time. How we internalized it is that choosing the right partners for building our AI solution is the key for us. Choosing partners for LLM, choosing partners for Vector database the companies which is going to be along with us during the entire journey to which will help us in supporting, training, bringing in new technology.