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Al Martin

WW VP Technical Sales · IBM

363 activities
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Lisa Martinez

author

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Martin Brodbeck

CTO · Priceline

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Activities & events

Title & Speakers Event
Event PyData Roma Capitale + PyRoma Meetup @ The Social Hub 2025-11-19
The unsatisfying issue of AI's environmental impact 2025-11-19 · 19:30
Martino Wong – Content Creator @ Oradecima; Datapizza

In a talk that has the potential to be irritating for both environmentalists and AI-optimists, we will tackle the growing concern about generative AI's environmental impact. We'll explore the energy costs of AI in an accessible way, look at what companies reveal (and don’t) and try to answer the question: is AI's energy cost an overblown issue, or should we be worried?

AI/ML GenAI
From OpenAI to DeepSeek: New Scaling Laws for LLMs that can Reason 2025-11-19 · 19:00
Luca Baggi – AI Engineer @ xtream

With o1, OpenAI ushered a new era: LLMs with reasoning capabilities. This new breed of models broadened the concept of scaling laws, shifting focus from train-time to inference-time compute. But how do these models work? What does "inference-time compute" exactly mean? What data do we use to train these new models? And finally - and perhaps more importantly: how expensive can they get, and what can we use them for?

LLM
Python 3.14 (or "π-thon" for real nerd pythonists) 2025-11-19 · 18:40
Alssandro Pappalettera – Senior Software Engineer @ Neosperience

Python 3.14, a brave new version of the language, tries to embrace perfection. It moves us one step forward into the free-threaded era where nothing is (globally) locked anymore. Let's see together where we are so far and where we can go further!

Python
Jaeger Advisor: How I built my own personal TripAdvisor in just half a day 2025-11-19 · 18:30
Andrea Rosati – Software developer @ Screevo

In half a day, I built a personal TripAdvisor by linking Notion to Google My Maps. I can save, tag, and rate places in Notion and see them instantly on a custom map, keeping full control of my data without relying on external platforms.
PyData Rome, 5th Meeting, 11th June 2024 2024-06-11 · 16:30

PyData Roma - 5th Meetup! 🎉 Get ready for another great night of data science!

Let's keep up the momentum to pursue our goal: making Rome a great place for software engineering and data science.

Call for speakers is open! If you have a presentation, some interesting code, or an open problem that you'd like to discuss with the community just compile the form and let us know! (proposals can be in English or Italian, whatever makes you comfortable).

Location: Immobiliare Labs, Via di Santa Prassede 24, Rome - Italy Date: June 11th 2024

Schedule:

  • 18:30 🚪 Door Opening
  • 18.45 🧊 Ice breaking: bring your problem! Pitch something you are working on in 5 minutes and gather suggestions and ideas (spontaneous and free open mic)
  • 19:00 🎤 Talk 1 - Polars: la nuova frontiera nella manipolazione dei dati (Italian), by Domenico Cinque and Guido Pitoni (data scientists @ Immobiliare.it)
  • 19.30 🎤 Talk 2 - I bias nelle AI generative: come costruiamo i dataset? (Italian), by Martino Wong (Content Creator @datapizza @oradecima)
  • 20.00 🤝 Socializing

Here is a short description of the two presentations:

1. Polars: la nuova frontiera nella manipolazione dei dati Per anni, Pandas è stata la libreria di riferimento per la manipolazione dei dati in Python. Tuttavia, con l'aumento delle dimensioni dei dataset e delle esigenze di prestazioni, Polars si sta affermando come un'alternativa più che valida. Grazie alla sua implementazione in Rust e all'integrazione nativa con Apache Arrow, Polars eccelle in velocità ed efficienza della memoria, specialmente con dataset di grandi dimensioni. In questo talk esploreremo, attraverso esempi pratici, alcuni dei motivi per cui vale la pena imparare Polars. Mostreremo come l'interfaccia intuitiva di Polars renda il passaggio da Pandas indolore (e quasi piacevole).

2. I bias nelle AI generative: come costruiamo i dataset? Un sistema informatico non può avere pregiudizi ed essere discriminatorio, vero? Dopotutto, è una macchina.. Tuttavia, ciò può accadere, e accade, perché questi sistemi li costruiamo noi. Le AI generative sono costruite infatti tramite enormi quantità di dati ottenuti dal web, codificando e ampliando dei bias che discriminano minoranze, e non solo. A tal proposito, in questa sessione mostreremo come tali AI non si limitano a rispecchiare delle disparità presenti nella società ma, allo stesso tempo, tendono ad estremizzarle, interrogandoci su come mitigarne i loro effetti negativi.

Sign Up! Space is limited, so RSVP today to secure your spot!

Please note: Remember to RSVP using your full name for security reasons. If you can't attend, please let us know by 9/05 so you can free spots for people on the waiting list. We look forward to seeing you there! 🙌

 PyData Rome, 5th Meeting, 11th June 2024
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