In this episode of the AlchemistX Innovators Inside Podcast, host Ian Bergman interviews Manas Talukdar—an industry veteran in enterprise AI and data infrastructure—to dive deep into how the evolving world of data is reshaping our businesses. Manas shares his journey from building middleware and pioneering distributed systems to leading innovative projects at companies like C3 AI and Labelbox.
Manas shared his journey from working on on-premises systems and time-series historians to building cloud-native data platforms. The transition isn’t just about technology—it’s about unlocking scalability and agility to handle billions of data streams.
High-quality training data is the backbone of AI innovation. Manas discussed the critical need for curated, domain-specific datasets—and how synthetic data is emerging as a promising solution to bridge gaps when real-world data falls short.
While data drives decision-making, Manas emphasized that seasoned intuition remains invaluable. His advice? Use data to inform your instincts, but don’t be afraid to lean on experience when charting new product bets.
Successful product development is all about listening to your customers. Manas explained how continuous feedback loops help refine AI solutions, ensuring they’re not only technically robust but also aligned with real-world needs.
The fear of missing out (FOMO) is real in a rapidly changing AI landscape. Manas stressed the importance of fostering a team that’s agile, curious, and willing to take calculated risks—because building an innovation portfolio is essential for long-term success.
Manas’s insights remind us that innovation isn’t just about adopting new technologies—it’s about transforming the way we think about data, collaboration, and strategic risk-taking. Dive into the full conversation to explore how these lessons can help you stay ahead in today’s fast-evolving tech environment.
Timestamps
💡 Introduction to Manas Talukdar 00:00:18
🔥 Embracing innovation: Tackling FOMO and the drive to adopt new AI technologies 00:04:29
🤖 Integrating AI into enterprise solutions and developing custom models 00:08:23
🎲 Making strategic product bets amid uncertainty 00:18:31
💼 Managing risk and resource allocation for sustainable growth 00:22:20
🌐 Future trends in AI: Synthetic data, AGI potential, and model improvements 00:26:22
🎙️ Rapid-fire round: Personal preferences and fun insights 00:37:00
🛑 Final thoughts on balancing risk, intuition, and data-driven innovation 00:44:09