Let’s dive into the future of AI with Hugging Face, unleashing the potential of Large Language Models for production applications.

Let’s dive into the future of AI with Hugging Face, unleashing the potential of Large Language Models for production applications.
We are thrilled to announce that Radicalbit will be joining World Summit AI in October 2023 as a sponsor and speaker. Alessandro Conflitti, Head of Data Science at Radicalbit, will deliver an address entitled “Zen & the Art of Drift Detection: How Not to Lose Your Sleep When Drift Occurs in Your Data Stream ”.
We are proud to introduce Applications, the new, exciting feature included in Helicon, Radicalbit’s real-time machine learning platform.
Thanks to Applications, it is now possible to present all the artifacts implemented within the platform (streams, pipelines and models) as a single service, accessible via a simple HTTPS request, in a secure and scalable way. Integrating real-time data science workflows has become more and more effortless.
Kafka Summit is the premier event for developers, architects, data engineers, DevOps professionals, and streaming data lovers. Hosted by Confluent, the event has been a blast with over 1.500 people joining two days filled with workshops, talks and networking. Radicalbit joined the event for the second year in a row as Sponsor and Speaker, and in this blog post we’d like to share the best take home messages from Kafka Summit 2023.
In the world of technology, Artificial Intelligence has been making waves in recent years. AI applications have been used in various industries, from healthcare to finance, and it has revolutionized the way businesses operate. As we look forward to the future, it is essential to understand what is happening in the world of AI and the most relevant trends for 2023.
We are thrilled to announce that Radicalbit will be joining Kafka Summit in May 2023 as a sponsor and speaker for the second year in a row. Alessandro Conflitti, Head of Data Science at Radicalbit, will deliver an address entitled “Memory Matters: Drift Detection with a Low Memory Footprint for ML Models on Kafka Streams”.
Applying AI to real-time IoT data brings prompt advantages for companies, like a considerable reduction in energy and raw material waste.
Artificial Intelligence and Machine Learning are already changing the world of marketing as we know it. These technologies help enhance and quicken countless marketing tasks, improving customer experiences and driving conversions. Here is a selection of some AI and Machine Learning solutions that can be extremely helpful for marketing purposes.
Just imagine the massive impact AI and Machine Learning have on our lives and jobs. According to SEM Rush, for instance, the global AI market is predicted to skyrocket in the next few years. Here are some 2022 predictions for AI and Machine Learning applications.
Moving Artificial Intelligence models to production environments for IT businesses is as much crucial as painful. This article will show how to wrap ML models into containers, how Seldon helps Ops engineers to orchestrate thousands of models together and how Apache Kafka connects these assets with heterogeneous data and heavy workloads.