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Upon close inspection of the growing adoption of artificial intelligence across different industries, it becomes apparent that a lot it rests on the shoulders of API-powered systems. A survey by McKinsey found that 56% of respondents reported AI adoption in at least one function within their organizations, with significant increase in the use of AI APIs for tasks like natural language processing and computer vision.
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.
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.
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.
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.
According to a survey by Markets and Markets, the EdTech sector is seeing an unparalleled upswing, with the worldwide market size expected to reach an astounding $232.9 billion by 2027 at a CAGR of 13.2% over the period 2022–2027. This extraordinary expansion highlights the critical need for Edtech software testing services as well as a revolutionary change in how we study and access educational information.
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.
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.