Tomithy plays the role of seeker and investor at ST Telemedia - a VC/PE fund that invests in telcos, data centres, growth stage tech companies in AI, Cybersecurity and Cloud IT . He actively works with target and existing portfolio companies in terms of technical diligence, business strategy and commercial evaluation via their CTO, product & engineering teams.

He has a deep interest in governance and reliability of AI systems, pushing the limits of generative AI, multi-agent AI systems, evolutionary algorithms and synthetic biology. Tomithy holds a degree in Computational Biology (Hons) from NUS, Masters in AI program from SMU and is currently pursuing a part-time PhD in AI Governance at SMU.

In this episode, we talk about fragmentation and consolidation in the GenAI space, using GenAI as a business strategy, anti-patterns to avoid when implementing searchable enterprise databases, investing in GenAI, and a lot more.

🔹 Spending cycles in AI
🔹 Lessons learned from investing in AI
🔹 Using tech for commercial differentiation
🔹 Pitching during the innovation versus scaling phase
🔹 Opinions on GenAI maps
🔹 Does AI really translate to monetization?
🔹 The overpromise of enterprise databases
🔹 GenAI as the evolution of the business and as a strategy
🔹 Don’t build generic chatbots
🔹 The shortening of the tech adoption cycle
🔹 Platformatizing AI

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Produced by Swarm — Hire solution architects from Fortune 100s for your AI projects.

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