Machine Learning into Production podcast, interview style
Episodes
27 Mar 2026
Epiplexity introduces a framework redefining entropy and complexity with structural information, while topological search and graph-based methods enhance semantic accuracy in machine learning by preserving data through high-dimensional embeddings and hybrid geometric-topological analysis, outperforming traditional approaches in retrieval and reasoning tasks.
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20 Mar 2026
AI-driven agent systems in OLX's classifieds marketplace aim to innovate user experiences by overcoming UI constraints through dynamic intent extraction, hybrid chat/UI models, and trust-building in real estate and motors, with future focus on logistics automation, secure transactions, and human-agent integration.
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17 Mar 2026
Temporal enhances developer productivity by enabling crash-proof workflows through deterministic programming models, separating business logic from fault tolerance, and simplifying distributed systems with durable execution, workflows, activities, and persistence layers like Cassandra/Postgres.
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24 Feb 2026
The podcast dives into AI development, software engineering, and GPU innovation, focusing on efficient workloads and the trade-offs between quick solutions and scalable systems.
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19 Feb 2026
AI model deployment requires careful planning of infrastructure and scalability to ensure smooth transition from experimental to production stages, considering factors like cost, performance, and control.
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13 Feb 2026
The podcast highlights the importance of context, flexibility, and evolution in workflow tools and data analysis, emphasizing the need for refinement and dynamic interaction with AI agents.
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10 Feb 2026
Software engineers must adopt new approaches to validation and reliability as AI tools become increasingly integrated with traditional engineering, requiring systematic prompt management and careful balancing of AI guidance to prevent over-reliance.
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6 Feb 2026
Researchers are developing a Physical AI platform to create intelligent systems that learn from real-time sensor data to improve applications like machine health monitoring and construction site productivity.
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3 Feb 2026
Experts discuss the challenges of building and maintaining complex AI infrastructure, including power availability, logistics, and component sourcing, and highlight the need for energy-efficient solutions and standardized management tools.
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27 Jan 2026
Regulatory compliance in AI is explored with a focus on the EU's AI Act, emphasizing the need for harmonized standards, observability tools, and cross-functional collaboration to ensure AI systems meet technical, legal, and ethical requirements.
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