Machine Learning into Production podcast, interview style
Episodes
28 May 2026
Modern AI architecture, infrastructure challenges, open-source vs. proprietary models, and safety-critical conversational agents for mental health via Bell and Kids Help Phone's hackathon, alongside GPU efficiency, scalable frameworks, and balancing innovation with control in deployment.
Open episode28 May 2026
The MLOps community is forming the Agentic AI Foundation under the Linux Foundation to govern open-source projects like MCP and agents.md, maintain existing community activities, launch an ambassador program, and rebrand the podcast as "Agentic Conversations."
Open episode26 May 2026
Just Eat Takeaway evolves through AI-driven innovation, voice interfaces, and wearables, focusing on agentic commerce agents, super apps, and no-app models while addressing privacy, device continuity, and logistics challenges like autonomous delivery.
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19 May 2026
AI agents evolve from question-answering systems to autonomous task execution, requiring risk management through governance frameworks, security measures, human oversight, and ethical integration to address operational, compliance, and safety challenges while balancing AI capabilities with accountability.
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15 May 2026
Managing long-running agents requires state checkpointing and rehydration for fault tolerance, balancing durability with scalability via modular architectures, orchestration frameworks like Temporal, open standards, and simplified agent designs that separate concerns and leverage existing infrastructure.
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12 May 2026
iFood's ILO AI agent leverages a Learning Context Model to deliver hyper-personalized food recommendations by integrating diverse AI techniques, navigating cultural nuances, and balancing familiar and novel choices while addressing multi-channel design, latency, scalability, data alignment, and experimental innovation challenges.
Open episode8 May 2026
Sophia, an AI-powered travel concierge using a multi-agent system and decentralized collaboration, aims to streamline bookings, in-trip services, and personalized experiences through AI-driven automation, chat/voice interfaces, and orchestration layers, while expanding capabilities and reducing friction in travel processes.
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1 May 2026
Designing voice-based AI systems involves balancing user control with automation, addressing speech quality-latency trade-offs, creating intuitive non-technical interfaces, overcoming transcription and turn-taking challenges in real-world environments, integrating hybrid models and domain-specific tuning, while ensuring compliance, user trust, and ethical considerations in applications like customer support and dynamic environments through feedback loops.
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24 Apr 2026
The text discusses using the Greenfield toolset to convert legacy code into structured specifications and the Superpowers framework to enhance AI agents through psychological persuasion techniques, emphasizing task decomposition, subagent roles, challenges in consistency and security, and future trends in agentic problem-solving and ethical AI development.
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21 Apr 2026
Evaluations in AI product development must be integrated early, address real-world complexities, use nuanced metrics beyond accuracy, employ user-centric and iterative testing, leverage post-deployment data, and adapt tailored strategies to balance quality, domain-specific metrics, and system reliability.
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