MLOps streamlines AI/ML workflows through automation, data management, and scalable deployment strategies. This article highlights how the Azure ecosystem supports model development, deployment, and monitoring to enhance efficiency and reliability in machine learning projects.

Discover how Datumo built a custom solution to automate the generation of recruitment feedback reports using Google Cloud and Python. In this technical deep dive, Damian reveals the inner workings of the Recruitment Report Generator (RRG) - from Google Forms to Slack - transforming manual evaluation into a seamless, automated workflow.

Azure IoT Edge enhances IoT systems by enabling local data processing on edge devices, reducing latency, bandwidth usage, and reliance on cloud computing while maintaining strong security and scalability. By supporting modular deployment, AI, and machine learning, it empowers real-time decision-making and automation, shaping the future of intelligent IoT solutions.

A weekend of laughter, nature, and good vibes at Datumo Camp 2025. See how stepping away from screens helped us reconnect as a team.

Two days of cutting-edge talks, networking, and insights into the future of Big Data and AI. Check out our full recap to see what we learned!

For a home goods retailer, embedding purpose-built AI reduced manual workflows by 68%, eliminated SEO errors entirely, and redirected 80% of capacity toward customer journey optimization - proving that scalability and strategic agility aren’t mutually exclusive.

Get the most out of Apache Spark! Learn how to manage data skew, optimize joins, and control partitioning dynamically during query execution.

Snowflake, Databricks, or BigQuery? Compare top cloud data platforms and choose the right fit for your data strategy.

Why choose BigQuery for your data platform? Discover 5 key reasons why it’s a smart, scalable, and cost-efficient choice.

The article explores how to optimize BigQuery jobs by minimizing data shuffling, a resource-intensive process in distributed data processing frameworks.