Podcast thumbnail for Data Architecture Elevator

Data Architecture Elevator

Claim This Podcast

by Agile Lab s.r.l.

17 episodes
Updated Weekly
Accepts GuestsHas SponsorsLocation 🇮🇹
9

Podcast Authority

Beta
PoorBased on show quality, social media presence, reviews, charts, and more
Pod Engine
Quality18
Social0
YouTube0
Engagement0

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!

Language

🇺🇲

Publishing Since

7/24/2024

Unlock The Full Podcast Authority Score Report

See how your podcast performs across key metrics

9

Podcast Authority

Beta
PoorBased on show quality, social media presence, reviews, charts, and more
Pod Engine
Quality18
Social0
YouTube0
Engagement0
5
Excellent Areas
0
Good Performance
14
Growth Opportunities
excellent
Episode Length
20 minutes
Performing excellently!
needs improvement
Publishing Consistency
Every 15 days

Recommendations available

Unlock the full report to see detailed tips

+16 More Metrics

Unlock comprehensive insights including:

  • • YouTube presence analysis
  • • Social media reach metrics
  • • RSS compliance scoring
  • • Podcast 2.0 features
  • • Technical standards
What's Included in Your Full Report

Detailed Analytics

  • Complete breakdown of all 19 authority metrics
  • Personalized recommendations for each metric
  • Industry benchmarks and comparisons
  • Technical RSS feed analysis and compliance scoring

Growth Strategies

  • Step-by-step action plans for improvement
  • Quick wins to boost your score immediately
  • Pro tips from successful podcasters
Get your free podcast insights report

See how your show performs across every key metric

Instant delivery
No spam
Attract Better Guests

High authority scores make your podcast more attractive to industry leaders and influencers who want to appear on credible shows.

Secure Sponsorships

Sponsors look for podcasts with proven authority and engagement. Your score demonstrates your podcast's value to potential partners.

Grow Your Audience

Understanding your strengths and weaknesses helps you make data-driven decisions to expand your listener base effectively.

Reach the team behind Data Architecture Elevator

Verified contact details for this show aren't on file yet — sign up to get notified when they land.

Recent Episodes

Episode thumbnail for Advanced LLM Optimization techniques

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!

Episode thumbnail for Agentic AI, Model Context Protocol and Data Products

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 :)

Episode thumbnail for Data Privacy in the Age of Large Language Models

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

Deep-dive analytics for Data Architecture Elevator

Frequently asked questions

Have a different question and can't find the answer you're looking for? Reach out to our support team by sending us an email and we'll get back to you as soon as we can.

What is Data Architecture Elevator?

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!

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.

Legal Disclaimer

Pod Engine is not affiliated with, endorsed by, or officially connected with any of the podcasts displayed on this platform. We operate independently as a podcast discovery and analytics service.

All podcast artwork, thumbnails, and content displayed on this page are the property of their respective owners and are protected by applicable copyright laws. This includes, but is not limited to, podcast cover art, episode artwork, show descriptions, episode titles, transcripts, audio snippets, and any other content originating from the podcast creators or their licensors.

We display this content under fair use principles and/or implied license for the purpose of podcast discovery, information, and commentary. We make no claim of ownership over any podcast content, artwork, or related materials shown on this platform. All trademarks, service marks, and trade names are the property of their respective owners.

While we strive to ensure all content usage is properly authorized, if you are a rights holder and believe your content is being used inappropriately or without proper authorization, please contact us immediately at hey@podengine.ai for prompt review and appropriate action, which may include content removal or proper attribution.

By accessing and using this platform, you acknowledge and agree to respect all applicable copyright laws and intellectual property rights of content owners. Any unauthorized reproduction, distribution, or commercial use of the content displayed on this platform is strictly prohibited.