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Radicalbit is a company that provides data analytics solutions based on open source technologies. The company was founded in 2016 and has offices in Milan, Rome and Berlin. Radicalbit offers a platform called Fast Data Platform (FDP), which enables users to ingest, process, analyze and visualize data from various sources in real time. FDP is based on Apache Flink, a distributed stream processing framework that can handle large-scale data with low latency and high reliability. FDP also integrates other open source components, such as Apache Kafka, Apache Cassandra, Apache Spark and Elasticsearch.

Radicalbit's mission is to democratize data analytics and make it accessible to everyone, regardless of their technical skills or domain knowledge. The company provides consulting, training and support services to help customers adopt and use FDP effectively. Some of the use cases that Radicalbit has helped customers with include fraud detection, anomaly detection, predictive maintenance, customer segmentation and sentiment analysis. Radicalbit's customers span across various industries, such as banking, insurance, telecom, manufacturing and media.

Radicalbit is also committed to contributing to the open source community and fostering innovation in the data analytics field. The company is a member of the Apache Software Foundation and a sponsor of the Flink Forward conference. The company also organizes meetups, webinars and workshops to share its expertise and best practices with the data analytics community.

  • Radicalbit creates cutting-edge products that integrate event stream processing and machine learning, bringing together people, processes and technologies.
  • Helicon by Radicalbit is a codeless data for AI & MLOps platform that simplifies the application of machine learning models to real-time data, enabling the creation of AI-powered decision support systems.
  • Helicon enhances the cooperation between data teams as it increases productivity and reduces time to market.
  • Helicon allows the shift from static, conventional analytics to dynamic decision support systems delivering actionable insights in real-time.
  • Helicon offers native integration with major programming languages such as Java, Javascript & Python, plus open protocols like MQTT and HTTP.
  • Helicon is a relatively new product and may not have a large user base or community support yet.
  • Helicon may not be compatible with some legacy systems or data sources that do not support streaming data or AI models.
  • Helicon may require some technical skills or knowledge to fully customize decision flows and integrate Python code snippets.
  • Helicon may not be affordable for some small businesses or startups as it has different pricing plans based on features and usage.
  • Helicon may not be suitable for some use cases or domains that do not require real-time data processing or AI-powered decision making.

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