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”. It will delve deep into the way in which Radicalbit’s MLOps platform, offers a ready-made solution against drift for models relying on Kafka streams for input and output data.
One of the the main perks of our Platform’s advanced ML models monitoring lies in the low memory footprint. This is a crucial matter especially in the case of real-time data, when large amounts of messages are exchanged every second.
Another significant feature is the integration with the platform’s alerting system. When drift is detected, a new dedicated Kafka topic is populated, which is in turn associated with a webhook sending alerts to a messaging platform of choice. This means that stakeholders are notified when changes in the input data may impact the model’s performance.
If you want to learn valuable knowledge about drift detection for Kafka topics fed into ML models, don’t miss Alessandro Conflitti’s speech at Kafka Summit on May 17 2023 at 11 am.
You’ll also find us at our booth S6, where you’ll have the chance to discover our MLOps platform that simplifies the development of adaptable AI and machine learning-powered decision support systems, with 2 real-time ML use case demos:
- AI-powered telemetry for Formula 1 cars;
- Real-Time Fraud Detection, enhanced by Concept Drift monitoring.
We look forward to meeting you!
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