Avin Jain podcast , where you will see that he is not your everyday tech founder. With over 30 years of experience in software and analytics, his journey from business intelligence to AI entrepreneurship is both inspiring and instructive. An IIT-BHU graduate, in this Avin Jain podcast he talks about how he began his career leading large teams at SAP BusinessObjects and contributing to global product innovations at Infosys and Ness Technologies. This experience gave him a unique edge—understanding both the technical depth and business impact of analytics platforms.
This Avin Jain podcast story is a must-listen for anyone following a business podcast or a podcast on AI, especially founders and tech enthusiasts who want to understand how persistence, R&D, and vision converge to create a globally relevant product.
BDB.ai: Transforming Enterprise Analytics
BDB.ai is not just another analytics tool. It’s a full-stack, low-code platform designed for enterprise-scale operations across industries like Telecom, Automotive, BFSI, Retail, and Healthcare. What sets it apart is the integration of cutting-edge technologies, from Machine Learning to agentic AI and LLMs, all in a single platform.
This emphasis on innovation and enterprise readiness makes BDB.ai a recurring topic in every business podcast and a recommended listen in podcasts on AI, as Avin often shares insights on why building a scalable AI platform requires patience, R&D focus, and a deep understanding of enterprise needs.
From R&D to Global Recognition
What makes this Avin Jain podcast and Avin’s journey particularly noteworthy is how he and his team built BDB.ai almost entirely on research and development, without depending heavily on flashy marketing campaigns. Their roots in SAP BusinessObjects R&D gave them the technical maturity to innovate rapidly while maintaining a focus on real-world enterprise problems.
Building a platform like BDB.ai from scratch is no easy feat. Avin often shares in business podcast interviews how the early years involved multiple iterations, technical challenges, and even losing some potential clients due to external factors. Despite these challenges, the team’s commitment to quality, reliability, and innovation gradually earned them recognition, culminating in a Gartner Top 30 ranking among low-code analytics platforms.
Solving Real-World Enterprise Challenges
BDB.ai’s approach to analytics goes beyond visualization. The platform addresses core enterprise challenges: integrating disparate data sources, simplifying DataOps, enabling self-service BI, and leveraging agentic AI to automate repetitive business processes.For startups or enterprises curious about AI integration, listening to a podcast on AI featuring Avin Jain offers practical insights into what it takes to build a platform that’s robust, scalable, and widely adopted by global clients.
Looking Ahead: The Future of BDB.ai and AI Analytics
In this Avin Jain podcast you will see how he is not stopping at current achievements. With the rise of LLMs and agentic AI, BDB.ai is evolving to offer autonomous business agents capable of managing finance, sales, and marketing workflows. This is a bold step toward redefining enterprise automation, making AI not just a tool for analysis but an active participant in decision-making processes.
For listeners of business podcast shows or any podcast on AI, Avin’s vision underscores the long-term trends in enterprise technology: AI is not a buzzword but a transformative force requiring continuous learning, innovation, and ethical implementation. As BDB.ai continues to grow, it serves as a benchmark for what Indian startups can achieve on the global stage, blending technical excellence with strategic enterprise solutions.
conclusion
Avin Jain and BDB.ai represent the power of persistence, technical mastery, and vision. Entrepreneurs, tech enthusiasts, and enterprise decision-makers can learn a lot from their journey, making it a highly recommended feature on any business podcast or podcast on AI playlist.
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