To support Stampix’ journey towards a 1-click photobook experience Stampix and ML6 leveraged machine learning using AWS SageMaker.

Policy Expert pushed innovation in digital insurance with AWS, leveraging AI & ML for customer insights and real-time quotes.

The sales effectiveness tool is currently actively used by around 10.000 sales consultants spread over 6 countries. The hit rate has increased from the historical 25% to 70%, meaning that today the sales consultants using the tool are spending 70% of their time with the right clients - clients who have actual and feasible potential for Randstad.

ML6 has worked closely with Creative Fabrica to offer customers complete, real-time content creation experiences that are tailored to their specific needs.

Thanks to the AI solution, it is possible for the Funke group to process and analyse content in near real time in a way that wasn't possible before. The platform and its reusable components allow Funke to quickly test and implement new content ideas or products in record time.

"Lights on highways are turned off when possible and the highways are illuminated when necessary." Based on this lighting vision of the Flemish government, the Agency for Roads & Traffic (AWV) is working with AI specialist ML6 to automatically control motorway lighting based on artificial intelligence. ‍It will soon be possible to control highway lighting for shorter periods and smaller regions. This will have beneficial economic, environmental and social effects. The solution saves energy and light pollution is countered when the lights do not have to be switched on (or can be dimmed). Where it is required for safety, the lights are switched on. The operator can make a data-driven decision, as a first step towards a full-automatic control of lighting on the Flemish road network. This results in energy savings and a reduction of light pollution, which are key objectives of the project, are key objectives of the project, without compromising safety for road users.

ML6 evaluated the technical feasibility and potential ethical risks involved in using an AI-based solution for annotating media assets.

ML6 built an AI solution that makes these documents searchable in an intelligent way using advanced NLP techniques and pseudonymization.

By embedding artificial intelligence in its platforms, Keypoint is able to reduce fraud cases and will guarantee all home repairs are completed properly and at a fair price. Next to that, water damage claims will be prevented through the implementation of smart sensors and AI.

ML6 advised and supported GfK on setting up an MLOps way-of-working, enabling GFK to bring insights to production in weeks instead of months, at much lower costs.

ML6 and Saroléa started to implement machine learning on the Saroléa superbikes in 2018, with the initial focus on improving battery performance. To date, The battery response models are being used to better estimate the behaviour of the battery under certain conditions and, ultimately, to optimize the control loops.

Together with SWISS KRONO, ML6 identified the different requirements for AI use cases. Few key requirements are a solid data architecture and infrastructure, multi-disciplinary teams and management/organisation support. Having these different angles in balance will help the organisation further to enable and embed use cases in its day-to-day operations. This enables every organisation to benefit from the actual output on a larger scale.

The AI driven model is a powerful tool in assisting journalists in their writing work by speeding up the summary creation as well as suggest alternative wordings. In that way, human creativity and AI can enhance each other’s complementary strengths and produce high quality results.

With the help of artificial intelligence and machine learning, the new premium feauture TelerouteRecommends allows customers to get instant recommendations of trade-lanes and solve problems carriers and freight forwarders might have when looking for truck-capacity or loads.

By gaining insights into the donor journey, efficiency and effectiveness of fundraising could be enhanced.

ML6 helped Accolade Wines to implement a ML process to capture real time insights during the manufacturing process and prevent wine loss from happening with predictive analytics, enabling all 3 bottling lines to further reduce losses and saving another 1 million litres of wine per year or the consumption of 50 000 people per year. A 200% ROI for Accolade Wines.

Ml6 built a proactive recommendation tool resulting in a 7x boost in the number of leads from the matching engine.

ML6 helped to move an algorithm to a multispectral camera. ML6 helped downscale and optimize the algorithm and helped get it embedded by working together with the camera provider. Through the collaboration, CNH was able to go into production much faster. They now also have the necessary expertise to deploy algorithms on an embedded system for future use cases.