The Quix blog
Industry insights
September 24, 2024
AI Anti-Cheat Solutions and Real-Time Data: The Antidote to AI-Driven Cheating in Gaming
Discover how AI-driven cheating is poisoning online gaming and learn why real-time data processing is crucial for effective, custom AI anti-cheat solutions.
Industry insights
September 24, 2024
Real-Time Analytics for Gaming: Transforming Player Experience and LiveOps in Modern Gaming
Real-time gaming analytics offer a competitive edge, enabling game developers to create more engaging, personalized, and responsive gaming experiences.
Industry insights
March 26, 2024
Navigating stateful stream processing
Discover what sets stateful stream processing apart from stateless processing and read about its related concepts, challenges and use cases.
Industry insights
March 14, 2024
A guide to windowing in stream processing
Explore streaming windows (including tumbling, sliding and hopping windows) and learn about windowing benefits, use cases and technologies.
Industry insights
March 14, 2024
What is real-time feature engineering?
Pre-computing features for real-time machine learning reduces the precision of the insights you can draw from data streams. In this guide, we'll look at what real-time feature engineering is and show you a simple example of how you can do it yourself.
Industry insights
February 6, 2024
Streaming ETL 101
Read about the fundamentals of streaming ETL: what it is, how it works and how it compares to batch ETL. Discover streaming ETL technologies, architectures and use cases.
Industry insights
December 22, 2023
LLMOps: running large language models in production
LLMOps is a considered, well structured response to the hurdles that come with building, managing and scaling apps reliant on large language models. From data preparation, through model fine tuning, to finding ways to improve model performance, here is an overview of the LLM lifecycle and LLMOps best practices.
Industry insights
December 21, 2023
What is stream processing?
An overview of stream processing: core concepts, use cases enabled, what challenges stream processing presents, and what the future looks like as AI starts playing a bigger role in how we process and analyze streaming data
Industry insights
October 11, 2023
The what, why and how of event-driven programming
Read about the fundamentals of event-driven programming (EDP): key concepts, advantages, and challenges. Discover EDP use cases and technologies, and learn about the relation between EDP and event-driven architecture (EDA).
Industry insights
August 23, 2023
The anatomy of a machine learning pipeline
Explore the characteristics, challenges, and benefits of machine learning pipelines, and read about the steps involved in training and deploying ML models to production.
Industry insights
July 14, 2023
The fundamentals of real-time machine learning
What is real-time machine learning? How is it different from batch ML? What are common real-time ML use cases? What are the challenges of building real-time ML capabilities? All these questions and more are answered in this article.
Industry insights
July 13, 2023
Real-Time infrastructure tooling for data scientists
Explore the evolution of new tools for real-time pipelines that aim to solve the ongoing problem of data scientists' need for more infrastructure expertise.
Industry insights
June 28, 2023
Feature engineering has a language problem
Should data scientists know Java? Java and Scala underpin many real-time, ML-based applications—yet data scientists usually work in Python. Someone has to port the Python into Java or adapt it to use a Python wrapper. Neither of these options is ideal, so what are some better solutions?
Industry insights
June 16, 2023
Time series analysis: a gentle introduction
Explore the fundamentals of time series analysis in this comprehensive article. Learn about key concepts, use cases, and types of time series analysis, and discover models, techniques, and methods to analyze time series data.
Industry insights
June 8, 2023
Telemetry data explained
Gain a thorough understanding of telemetry data and how it works, learn about its benefits, challenges, and applications across different industries, and discover technologies you can use to operationalize telemetry.
Industry insights
May 30, 2023
The Stream — May 2023 edition
A monthly round-up of the most interesting news coming out of the stream processing ecosystem
Industry insights
May 24, 2023
Bridging the gap between data scientists and engineers in machine learning workflows
Moving code from prototype to production can be tricky—especially for data scientists. There are many challenges in deploying code that needs to calculate features for ML models in real-time. I look at potential solutions to ease the friction.
Industry insights
April 28, 2023
The Stream — April 2023 edition
A monthly round-up of the most interesting news coming out of the stream processing ecosystem