The Nvidia study found that AI has already been a game-changer for retailers, with 69% reporting an increase in annual revenue attributed to AI adoption and 72% of retailers that already use AI saying they experienced a decrease in operating costs. According to recent reports, the global AI in the retail market is expected to reach $40.74 billion by 2030, witnessing a CAGR of 23.9% from 2022 to 2030. The increasing market size can be attributed to the increased digitization across the retail sector.

The pace of change in the world is rapidly accelerating. Technology companies must prioritize speed to market to stay ahead of this curve, but speed can sometimes come at the expense of risk. The recent CrowdStrike incident is a sobering reminder that even the largest and most capable organizations are not immune to errors that can lead to significant downstream impacts.

An API model acts as a blueprint for building scalable and maintainable software interfaces. In this article, you’ll discover how to design, implement, and validate a robust API model, including the use of AI models. We’ll cover key concepts like API modeling, essential components, user identification, and best practices.

Logging is a crucial practice that helps developers monitor, debug, and maintain their applications. Python, a versatile and widely used programming language, provides a comprehensive logging module that makes it easy to integrate logging into your applications. This post introduces Python logging, covering the basics, various logging levels, practical implementations, and more.

In today's data-driven world, Power Query has become an indispensable tool for professionals dealing with data analysis and manipulation. However, it's crucial to understand the limitations of Power Query to maximize its potential and complement it with more advanced tools when necessary.

At Confluent we’re committed to building the world's leading data streaming platform that's cloud-native, complete, and available everywhere your data and applications reside. We offer this data streaming platform as a fully managed service in the cloud—Confluent Cloud; as a self-managed software that runs in your own environments—Confluent Platform; or as a hybrid of each of these.

The latest version of Linx is out.

Keboola offers a robust virtual branching environment, enabling users to seamlessly create a shadow copy of their entire Keboola Project. This allows for development and testing of changes without affecting the production environment. These development branches contain a copy of the underlying project data, ensuring that when a pipeline is executed in the development branch, the production data remains unaffected.

Imagine a world where ALL your data works for you. We’ve already seen remarkable things happen with structured data at Qlik. Our associative engine was crafted to handle structured data in an exceptional way. Calculating, processing, and associating tabular data with precision. But here’s the catch: 80% of the world’s data is unstructured, and Forrester predicts this amount will double this year.