We invest 17% of our time on applied research to stay at the forefront of innovation and offer the best services
Explainable AI is widely used as a single technical solution for a number of complex human-ML interaction problems sprouted from the “black box” nature of many machine learning models. We specifically focus on the impact of explainability on adoption and how it’s important to see it as part of a project context and not just a model context.
With our tech highlights we focus on topics that have a large impact over different customer projects and across different AI domains
How to discover good data augmentation policies for ML
How to discover good data augmentation policies for ML
Building a coral segmentation model using sparse data
Building a coral segmentation model using sparse data
Knowledge Graphs: An introduction and business applications
Knowledge Graphs: An introduction and business applications
At ML6, research and innovation is not reserved for the lucky few, but is part of our organizational DNA. We spend almost 17% of our time on applied research to stay at the forefront of innovation.
Through our chapters, we have diverse expert teams that focus on specific technical domains or functional areas in AI and drive our knowledge forward. As we grow, we continue to expand the coverage of our chapters into new domains and technologies.
We strongly believe in a cloud-first approach to delivering our solutions and have developed deep expertise on GCP.
We’re proud to be an official Google Cloud Partner, and have over 40 certified architects and data enigneers.
To prove our dedication towards information security, our security program is certified against the ISO/IEC 27001:2017 standard.
This internationally accepted standard provides requirements for establishing, implemeting, maintaining and continually improving information security withing an organization.
