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Kafka Summit 2023 Wrap-Up

Kafka Summit 2023 Wrap-Up

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.

The Rise of AI: top 7 trends for 2023

The Rise of AI: top 7 trends for 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.

Radicalbit joins Kafka Summit 2023!

Radicalbit joins Kafka Summit 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”.

Kafka Summit 2022: Keynote highlights

Kafka Summit 2022: Keynote highlights

Kafka Summit is an event that we couldn’t miss. Not only it’s an amazing opportunity to meet with other Kafka enthusiasts, but it’s also a chance to learn new things and network with the best of the best in the industry.
We were thrilled to sponsor and speak at this incredible event! Here are the Keynote speech highlights.

Tackling Data Challenges for a real-time MLOps platform

Tackling Data Challenges for a real-time MLOps platform

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.