Artificial intelligence is providing key insights into bp’s operations to help become an even safer and more efficient business. The company chose the security and scalability of Microsoft Azure for their digital twin project, which has the opportunity to reduce emissions by around 500,000 tonnes of CO2 equivalent every year.
Utilizing Microsoft Azure, SSE Renewables uses AI tools to monitor and protect local ecosystems. With this technology the company is aiming to treble its renewable energy output from 2019 levels to 30TWh by 2030, making a significant contribution to decarbonizing the power sector and achieving net zero emissions by 2050.
Rolls-Royce turned to Microsoft and the Microsoft Azure platform for the compute power required for their platform. Combining this with Microsoft Power BI enabled Rolls-Royce to serve new data insights to the engineering team, increasing scalability, security, and sustainability.
The ambitious startup plans to revolutionise the waste management industry through its innovative automation solutions based on machine vision, artificial intelligence, and robotics.
Centrica implemented Microsoft Azure to gain the scalability and compute power necessary to free up the Power Hedging team to use the data in a much more comprehensive and extensive way.
To develop and host Smart Manager, Malvern Panalytical chose to use Microsoft Azure and its comprehensive range of tools for application development, data analytics, AI and cloud security.
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.
Alder Hey Children’s Hospital
The hospital is collaborating with Microsoft on multiple projects with the goal of unlocking the value of its data. One of the first projects to use AI is an algorithm to predict bed space utilisation.
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.
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.
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.
The company uses AI tools in Microsoft Azure to understand the behaviour of reservoirs under different conditions, including time of day, seasonality and meteorological.
New College Lanarkshire
As part of its commitment to developing skills in a way that improves the employment prospects of its students, New College Lanarkshire has integrated Microsoft accreditations into the curriculums of its computer science courses.
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.
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.
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.
The Capita team chose to build out CIVA using Microsoft Azure AI frameworks, including Microsoft cognitive tools for Language Understanding Intelligent Services (LUIS). This enabled the team to rapidly build an intelligent model for inference and intent that would enable CIVA to understand and respond to service desk users’ IT support queries.
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.