Welcome to Data Architecture Elevator, a vibrant podcast produced by Agile Lab (www.agilelab.it). Join our expert architects for an engaging hour of friendly chat as they explore the hottest topics in the data architecture space. Each episode dives into innovative solutions, industry trends, and practical insights to elevate your understanding of data architecture. Whether you’re a seasoned pro or just curious, hop on and ride the elevator with us to new heights in data innovation!

Data Architecture Elevator
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Podcast Overview
Welcome to Data Architecture Elevator, a vibrant podcast produced by Agile Lab (www.agilelab.it). Join our expert architects for an engaging hour of friendly chat as they explore the hottest topics in the data architecture space. Each episode dives into innovative solutions, industry trends, and practical insights to elevate your understanding of data architecture. Whether you’re a seasoned pro or just curious, hop on and ride the elevator with us to new heights in data innovation!
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Publishing Since
7/24/2024
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Recent Episodes

April 7, 2025
Advanced LLM Optimization techniques
Welcome to another Data Architecture Elevator podcast! Today's discussion is hosted by Paolo Platter supported by our experts Antonino Ingargiola and Irene Donato. In this episode, we explore effective strategies for optimizing large language models (LLMs) for inference tasks with multimodal data like audio, text, images, and video. We discuss the shift from online APIs to hosted models, choosing smaller, task-specific models, and leveraging fine-tuning, distillation, quantization, and tensor fusion techniques. We also highlight the role of specialized inference servers such as Triton and Dynamo, and how Kubernetes helps manage horizontal scaling. Don't forget to follow us on LinkedIn! Enjoy!

April 1, 2025
Agentic AI, Model Context Protocol and Data Products
Welcome to another episode of Data Architecture Elevator, hosted by Paolo Platter (https://www.linkedin.com/in/paoloplatter/) and featuring Antonino Ingargiola (https://www.linkedin.com/in/antonino-ingargiola/) and Antonio Murgia (https://www.linkedin.com/in/antonio-murgia/). The conversation explores how Model Context Protocol (MCP), introduced by Anthropic, enables interoperability between LLM-based agentic applications and external systems through a standardized client-server model. In this setup, agents (LLM clients) discover and invoke tools exposed by MCP-compliant servers. This protocol decouples integration logic, allowing systems to interoperate without custom code. The discussion then applies MCP to data products in a data mesh architecture, where output ports (data access), observability ports (data quality and freshness), and control ports (operations) can be exposed as tools via MCP. This allows agents to autonomously query data, evaluate its quality, and even trigger operational commands like restarts or compliance actions. Enjoy it :)

March 6, 2025
Data Privacy in the Age of Large Language Models
Welcome to another episode of Data Architecture Elevator Podcast! Today we'll tackle another hot topic: Data Privacy related to Large Language Models. Large language models (LLMs) have changed the way we interact with technology, enabling more natural conversations, automating tasks, and generating human-like responses. But as the saying goes, with great power comes great responsibility. The intersection of LLMs and privacy raises crucial questions: How do these models process and store user data? What safeguards exist to prevent unintended data retention? And what steps can businesses take to ensure compliance with data protection regulations? Join the discussion with our host Paolo Platter and our guests Antonio Murgia, Antonino Ingargiola and Irene Donato. Don't forget to follow us on LinkedIn! Enjoy!
17 total episodes available
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Frequently asked questions
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- What is Data Architecture Elevator?
- How often does this podcast release new episodes?
This podcast updates weekly.
- Where can I listen to this podcast?
This podcast is available on 7 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.
- Does this podcast accept guests?
Information about guest appearances is not available.
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