Ayush Sharma talks about the importance of the deployment phase for production-grade AI models. 

Amazon has now extended the facial recognition ban indefinitely.

Data mesh is an up-and-coming paradigm in data architecture that helps organizations address certain pain points associated with modern data platform approaches.

Changes in consumer habits during the pandemic accelerates the demand for data scientists

Devops and site reliability engineers are vital to keep applications functioning. AIOps boosts effectiveness another notch

Machine learning, once implemented, tends to be specific to the data and requirements of the task at hand. Transfer learning is the act of abstracting and reusing those smarts

A cloud distributed data mesh supports a growing movement to decentralize data.

Fast, flexible, and developer-friendly, Apache Spark is the leading platform for large-scale SQL, batch processing, stream processing, and machine learning

Reinforcement learning is well-suited for autonomous decision-making where supervised learning or unsupervised learning techniques alone can’t do the job

Learn how the Cloudera, Hortonworks, and MapR data platforms are evolving to meet the demands for real-time analytics and machine learning