We are thrilled to share the exciting news that Radicalbit will be participating as a speaker at the upcoming Big Data Conference taking place in Vilnius from November 22nd to 24th!
Our Senior Data Scientist, Mauro Mariniello, will be taking the stage on November 23rd at 2:15 PM (EET time) to deliver the talk “Streams to the River: Powering an Online XGBoost Classifier with Kafka.“
What will we talk about?
In his talk, Mauro will explain the concept of Online Machine Learning, shedding light on how it operates and emphasizing the fundamental distinctions between the Online and Offline approaches. This serves as a foundation for a deep dive into the applications of Apache Kafka.
Mauro will demonstrate how Kafka‘s robust capabilities were harnessed to facilitate the training of an Online XGBoost Classifier model using data streams. This model was thoughtfully adapted for River, a state-of-the-art Python library designed specifically for streaming machine learning. The presentation will finally showcase how this particular model seamlessly integrates with Radicalbit’s MLOps platform enabling efficient and scalable deployment.
One of the key objectives of Mauro’s presentation is to provide an operational and executive perspective on Radicalbit’s collaborative efforts, underlining the synthesis of skills and expertise within our team. He will also spotlight the use case developed by Lorenzo D’Agostino, one of our DevOps Engineers, during his internship with Radicalbit.
Mark your calendars for November 23rd; we can’t wait to connect with you in Vilnius at the Big Data Conference Europe!
During my talk, I provided the audience with a summary of this work, and starting from this model, I demonstrated how to leverage Radicalbit’s MLOps platform to deploy it and monitor its performance over time. The day wrapped up with a lively party at “ACTION! by APOLLO,” featuring beer, bowling, and board games that engaged both speakers and attendees.
November 24 marked the last day of the conference, during which I had the pleasure of listening to two talks and participating in a panel discussion. The first talk focused on a fascinating LLM app. The second discussed threats and opportunities in using Kafka, and the panel discussion delved into the role of Agile methodologies in data analytics.
A necessary consideration concerns the most discussed theme during the conference, which, as expected, was represented by generative AI and particularly by LLMs. It is surprising to see how many different people are working to build applications that leverage these powerful models in various ingenious ways. Noteworthy, however, is the role that “data” has played. Many speakers have dedicated time and words to the concepts of data security, privacy, and maintenance, which I think are as important as data is the lifeblood of any AI model.
In conclusion, the Big Data Conference was an exceptional event, genuinely focused on speakers and not solely on companies. We had the opportunity to meet numerous professionals, laying the foundations for future collaborations and discovering a vibrant atmosphere between the Baltic and East European regions.
The last thing to say, ačiū, Lietuva!
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