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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”.
To effectively reduce water waste and generate accurate predictions through an automated solution, multiple elements must seamlessly work together to support decision-making activities. Indeed, artificial intelligence can be an incredibly powerful tool in this field: it is possible to build a model to interpret large amounts of real-time and historical data from different environments and soils and to generate accurate predictions in real-time. Here it comes Helicon to be integrated into smart systems to improve water and energy saving.
This Christmas we teamed up with Santa to maximise the efficiency of sleigh-based delivery, for a safe and effortless gifts distribution worldwide. We immediately thought of using Helicon to monitor in real time sleigh and reindeers’ performance, leveraging data to dynamically adjust the gift-delivery strategy.
Gartner has recently included Adaptive AI as one of the Top Strategic Technology Trends in 2023. It can be seen as an AI system that adapts to changing real-world situations and continuously evolves based on real-time data. Adaptive AI leverages event stream processing to retrain learning models and thus adjust for unforeseeable circumstances.
AI can definitely increase energy efficiency for buildings; applied to IoT sensors to collect real-time data, it suggests changes to avoid energy waste. By using AI-enabled algorithms, it can continuously monitor and adjust the energy usage of large buildings, as well as automatically adjust thermostats and lights in accordance with the occupancy of a particular space. Check out our solution to save energy in large buildings.