The rise of Big Data I want to take you back to 2012 . In those early years, our focus was big data, and everyone else was looking at the cloud. We were pioneering, but in a world that was still beginning to understand the value of data.
Executive Summary Choosing an agentic AI framework is an architectural decision, not a tooling choice. While many frameworks offer similar building blocks, they differ significantly in abstraction level, ecosystem coupling, observability, governance, and production readiness.
Key Announcements and Highlights Google I/O 2025, the company’s premier event for developers, featured major updates and product announcements across Google’s ecosystem.
Every week, 30 of Europe’s leading experts in Leukemia and Lymphoma gather online for the International Leukemia/Lymphoma Tumor Board (iLTB). Their mission is crucial: to tackle some of the most complex and treatment-resistant pediatric leukemia and lymphoma cases across Europe. This multidisciplinary team is composed of specialists in immunotherapy, genetics, molecular biology, clinical trials, and cellular therapies, from all around Europe, who work together to identify life-saving treatment plans for these children.
Introduction Language models like ChatGPT, GPT-4, and PaLM have rapidly gained immense popularity and captured everyone's attention. Never before has an application experienced an influx of users within such a short time span. Nevertheless, many businesses are left wondering about how to effectively harness language models to accelerate their operations.
Developer’s perspective on differences between GCP and Azure Amazon launched AWS in 2006, Google entered the picture in 2008 with GCP and finally, in 2010, Microsoft threw Azure into the mix in 2010. None of that matters in 2023. The typical complex choice to be made is:
Another day, another change in the world of generative AI.
Introduction Back in June 2021, Google Cloud announced Visual Inspection AI. This tool allows manufacturers and consumer goods companies to cut down on defects by allowing for quick training and deploying of AI models to detect production defects. It is part of Google Cloud’s Vertex AI offering, and is still under restricted GA access at the time of writing, meaning that it’s not publicly accessible. Luckily, as ML6 is a Premier Google Cloud Services partner, we were able to get early access to this brand new tool and put it to the test for you.
Log4Shell got security teams around the world on their toes. In this blog post, we take a look at how and why we built a live threatmap on top of Google Cloud to detect and visualize cyber attacks and log4j exploits.
In this blog post , we discuss the recent release of Google Cloud's Vertex AI platform, a unified platform for building and deploying machine learning models. As we believe Google Cloud's tool, Vertex AI is a game-changer for machine learning practitioners, as it simplifies the process of building, deploying, and managing machine learning models. The platform offers a wide range of tools and features, including AutoML, which allows users to create custom models without any coding, and a streamlined user interface for managing workflows.