In this episode, we spoke with Barzan Mozafari, CEO and Co-founder of Keebo.ai, about how AI is transforming the economics of cloud data warehouse management. Barzan shared his journey from academic research to launching Keebo, and how his team is redefining performance optimization in enterprise data systems through AI-powered “data learning.” We explored the value of automating infrastructure decisions, and why buying—not building—is the future for data teams under pressure.

Key Insights:

• Data learning: Keebo introduces a new paradigm that learns from metadata to automate and accelerate database tuning and optimization.

• Plug-and-play value: No code rewrites, no data migration. Setup takes just 30 minutes.

• Cost-driven AI: Automatically adjusts cloud warehouse configurations in real time.

• Privacy-first design: Models run solely on metadata, with no access to sensitive data or queries.

• Aligned incentives: Keebo charges based on savings delivered, creating a no-risk, ROI-driven adoption model.

IoT ONE database: https://www.iotone.com/case-studies

Industrial IoT Spotlight podcast is produced by Asia Growth Partners (AGP): https://asiagrowthpartners.com/

In this episode, we spoke with Jonatan Bjork, Co-founder of Llongterm, about how persistent memory is changing the way AI systems interact with users across industries. Jonathan shared the personal journey that led to founding Llongterm, and how their technology allows AI to retain meaningful context across interactions. We explored how memory transforms user trust, the architecture behind Llongterm’s Mind-as-a-Service, and the future of portable AI memory.

Key Insights:

• Mind-as-a-Service: Specialized, persistent memory units that can be embedded in apps, tailored by use case (e.g. job interview prep, customer support).

• Structured and Transparent: Information is stored in user-readable JSON format, allowing full visibility and control.

• Self-structuring memory: Data automatically categorizes itself and evolves over time, helping apps focus on what matters most.

• Portable and secure: Users can edit or delete their data anytime, with future plans for open-source and on-premise options.

• Universal context: A future vision where users bring their own “mind” across AI apps, eliminating the need to start over every time.

IoT ONE database: https://www.iotone.com/case-studies

Industrial IoT Spotlight podcast is produced by Asia Growth Partners (AGP): https://asiagrowthpartners.com/

In this episode, we spoke with Sundeep Ahluwalia, Chief Product Officer at TDK SensEI, about how AI is transforming data-driven decision-making in industrial environments. Sundeep shared his journey from data analytics to founding SensEI, and how his team helps manufacturers unlock the hidden potential in their operational data. We explored the challenges of AI adoption in traditional industries, the importance of domain knowledge, and how to move from descriptive analytics to actionable intelligence.

Key Insights:

• Plug-and-play AI: Automatic data labeling and model deployment with no manual setup.

• Edge-first design: AI runs on-device for real-time alerts without cloud latency.

• Predictive insights: Identifies failures weeks in advance to cut downtime.

• Enterprise-ready: Built-in cybersecurity, on-prem/cloud flexibility, ERP integration.

• Scalable platform: Designed to grow with use cases, from sensors to digital twins.

IoT ONE database: https://www.iotone.com/case-studies

Industrial IoT Spotlight podcast is produced by Asia Growth Partners (AGP): https://asiagrowthpartners.com/