Machine learning
Apache Kafka and R: Real-Time Prediction and Model (Re)training
Machine learning on real-time data is a powerful combination because you gain direct insights into your data, can make powerful decisions, and consequently improve your business processes and outcomes. It […]
Streaming Machine Learning and Exploration with Confluent and SymetryML
Imagine you’ve been working with Confluent and just got your new streaming pipeline set up to power your new predictive maintenance solution. Next, you look to implement machine learning (ML) […]
Transactional Machine Learning at Scale with MAADS-VIPER and Apache Kafka
This blog post shows how transactional machine learning (TML) integrates data streams with automated machine learning (AutoML), using Apache Kafka® as the data backbone, to create a frictionless machine learning […]
Building a Machine Learning Logging Pipeline with Kafka Streams at Twitter
Twitter, one of the most popular social media platforms today, is well known for its ever-changing environment—user behaviors evolve quickly; trends are dynamic and versatile; and special and emergent events […]
Broadcom Modernizes Machine Learning and Anomaly Detection with ksqlDB
Mainframes are still ubiquitous, used for almost every financial transaction around the world—credit card transactions, billing, payroll, etc. You might think that working on mainframe software would be dull, requiring […]
Seamless SIEM – Part 2: Anomaly Detection with Machine Learning and ksqlDB
We talked about how easy it is to send osquery logs to the Confluent Platform in part 1. Now, we’ll consume streams of osquery logs, detect anomalous behavior using machine […]
Streaming Machine Learning with Tiered Storage and Without a Data Lake
The combination of streaming machine learning (ML) and Confluent Tiered Storage enables you to build one scalable, reliable, but also simple infrastructure for all machine learning tasks using the Apache […]
Machine Learning and Real-Time Analytics in Apache Kafka Applications
The relationship between Apache Kafka® and machine learning (ML) is an interesting one that I’ve written about quite a bit in How to Build and Deploy Scalable Machine Learning in […]
Why Scrapinghub’s AutoExtract Chose Confluent Cloud for Their Apache Kafka Needs
We recently launched a new artificial intelligence (AI) data extraction API called Scrapinghub AutoExtract, which turns article and product pages into structured data. At Scrapinghub, we specialize in web data […]
Bust the Burglars – Machine Learning with TensorFlow and Apache Kafka
Have you ever realized that, according to the latest FBI report, more than 80% of all crimes are property crimes, such as burglaries? And that the FBI clearance figures indicate […]
Machine Learning with Python, Jupyter, KSQL and TensorFlow
Building a scalable, reliable and performant machine learning (ML) infrastructure is not easy. It takes much more effort than just building an analytic model with Python and your favorite machine […]
Using Apache Kafka to Drive Cutting-Edge Machine Learning
Machine learning and the Apache Kafka® ecosystem are a great combination for training and deploying analytic models at scale. I had previously discussed potential use cases and architectures for machine […]
Predicting Flight Arrivals with the Apache Kafka Streams API
Kafka Streams makes it easy to write scalable, fault-tolerant, and real-time production apps and microservices. This post builds upon a previous post that covered scalable machine learning with Apache Kafka, […]
How to Build and Deploy Scalable Machine Learning in Production with Apache Kafka
Scalable Machine Learning in Production with Apache Kafka® Intelligent real time applications are a game changer in any industry. Machine learning and its sub-topic, deep learning, are gaining momentum because […]