National Oilwell Varco (NOV)
NOV uses AI to maximise profitability, optimise manufacturing processes and shorten supply chains. Their technology uses the expertise of machinists to train autonomous systems that can improve employee training and identify new efficiencies.
Ricoh has created a connected factory that improves product quality and production, while reducing costs. Learn how they use real-time machine optimisation, machine learning, predictive maintenance and intelligent production tracking to optimise their manufacturing.
HOCHTIEF uses Azure Bot Framework and Cognitive Services to gather field reports during large-scale construction projects, reducing risk of errors by improving communication and documentation.
Schneider Electric minimises costs and worker risk with an IoT analytics solution based on Azure Machine Learning and Azure IoT Edge, allowing them to pinpoint repairs to remote equipment.
GE Aviation uses IoT and AI to build a digital model of an aircraft. Using data from multiple sources, they can analyse the history, health and efficiency of an aircraft and its components.
ActionPoint worked with Microsoft and Dell to develop IoT-PREDICT, a predictive maintenance tool that reduces downtime, lowers costs and increases the efficiency of their operations.
Atgenomix SeqsLab is a cloud-based high-performance computing platform for DNA and RNA sequencing research. Using AI to power genome analysis could help speed up the development of precise medical solutions for COVID-19 vaccines and treatment.
Northwell Health uses technology to improve how healthcare providers access and understand complex data from each patient’s case. AI can quickly process thousands of data points to help clinicians quickly understand, share and access critical patient information from anywhere.
NHS Glasgow & Clyde
NHS Glasgow & Clyde are using AI to spot trends in patients suffering with Chronic Obstructive Pulmonary Disease (COPD), reducing costs and hospitalisation time, while improving patient care.
Healthcare research is immense, highly secure and complex, making it difficult to share data between studies. Vivli facilitates a global data sharing and analytics platform to serve the international research community.
Medical University of Vienna
Researchers are using AI predictive modelling to accelerate the analysis of tumours, saving precious time during diagnosis. Improved accuracy and speed deliver better patient experiences and cost reductions.
Advocate Aurora Health
KenSci and Advocate Aurora Health collaborated to identify potential opioid misuse. Predictive analytics and machine learning delivered insights to identify and improve opioid prescribing.
New York City Department of Youth and Community Development
New York City Department of Youth and Community Development (NYC DYCD) built discoverDYCD, an AI-powered app that helps connect over 300,000 young residents to educational, social, recreational and employment opportunities.
Axilion uses AI to help cities manage traffic, boost safety and improve urban life. Their platform gathers IoT data to create a model of the city, then uses reinforcement learning to test a range of traffic solutions and identify an optimal strategy.
National Audiovisual Archive of Hungary (NAVA)
NAVA is using Azure Cognitive Services to accurately classify millions of images and sound files that will serve as the country’s long-term collective memory bank.
Louisville, Kentucky, US
A three-year alliance between Louisville and Microsoft will boost the region’s digital transformation on three key fronts: artificial intelligence, Internet of Things and data science.
Denver, Colorado, US
Denver uses smart city sensors to gather insights that help improve experiences for its citizens – from traffic safety, to emergency services, to air quality.
Aberdeen City Council
Aberdeen City Council is improving its services and efficiency with enhanced team collaboration, streamlined remote work, predictive scheduling, chatbots and process automation.
Walgreens Boots Alliance (WBA)
Walgreens and Boots stores are undergoing a multi-phase digital transformation across all facets of their business, including chatbots for customer service, AI-powered data analytics and streamlining operations.
ASOS uses Azure Machine Learning to accelerate a recommendation engine that connects its customers with the brands that matter to them. AI has reduced their time-to-market from six months to about six weeks.
Loblaw has created an AI culture of experimentation and innovation that enables them to improve digital retail experiences for their customers.
Boggi Milano uses AI from Evo Pricing to manage their supply chain and predictive pricing, an innovation that delivered revenue growth.
Dover Fueling Solutions (DFS)
DFS uses Azure IoT Hub and Azure Stream Analytics to deliver personalised content right at the pump, while also improving efficiency in pump monitoring.
Marks & Spencer
Marks & Spencer integrates machine learning, computer vision and AI across every endpoint – both in its shops and behind the scenes.
Nedbank created a chatbot called Electronic Virtual Assistant (EVA) to offer quick and easy self-service options for customers. EVA now handles 80% of the financial institution’s inquiries at a fraction of the cost.
Progressive reaches customers through new channels using an AI-powered chatbot that answers questions, provides quotes and even offers a bit of witty banter in the voice of their well-known spokesperson, Flo.
By leveraging artificial intelligence, Moneris increased its ability to spot security incidents, resulting in a reduction in fraud.
Financial Fabric uses AI to analyse data from thousands of complex documents to help its clients make better investment decisions.
GoCo uses AI and machine learning to improve recommendations for customers and enhance the insights available to their team.
TD Securities developed xVA to price complex derivative products, giving them more time to focus on client service and solutions.
Through a network of robotic sensing platforms, Premonition aims to continuously monitor our environment to detect potential pathogens and disease-carrying animals before they cause outbreaks.
The Metropolitan Museum of Art (The Met)
The Met is home to nearly two million works of art. Its Open Access program makes their collection accessible to a global audience, using AI to build new insights and connections.
Humanitarian OpenStreetMap Team (HOT)
Detailed maps are critical to services and disaster response, but the remotest parts of some countries lack the information needed to help vulnerable people. HOT is improving maps for emergency response.