How AI is transforming industries

To change how it engages with customers, the multinational telco built Aura—an intelligent conversational agent for multiple services ranging from real-time support to changing the TV channel.

Finning is using IoT, BI, and Azure to help clients increase efficiency and revenue by allowing them to view dashboards, reports, and data from any location using virtually any device.

Track Revenue, a startup offering advertising and marketing campaign analytics SaaS, moved to Microsoft Azure to build a next-generation, auto-optimization feature using stream analytics and machine learning to optimize customers landing pages and offers, and hence, their revenue.

Using predictive analytics tools based on Microsoft Cloud technologies, Tacoma School District is providing comprehensive data snapshots of student success indicators and has helped to improve graduation rates from 55 to 82.6 percent.

Hendrick Motorsports worked with Microsoft Services to deploy Microsoft Office 365, Microsoft Azure, and Windows 10. Now they're able to gather real-time data, communicate more efficiently between teams, and work seamlessly across devices.

Azure enabled Honeywell to help customers unlock real-world insights available through the interfaces they provide. By bridging the physical and virtual worlds with their connected products, they shifted the value drivers from the devices, which are foundational for Honeywell, to the data and insights that the devices generate.

Cami, the new Bot from Dixons Carphone, enables customers to discover products through conversational interface and receive advise based on their needs. Onsite, Cami can be used to check stock levels, enable photos of shelf labels for more information, and request help from staff members.

Researchers at UCL and the Cochrane Transform Project are using AI and machine learning to text mine thousands of reports to automatically select those to include in systematic reviews. Doing so is saving weeks of monotonous work, freeing up expert reviewers to spend their time and energy on high-level analysis.

Prism Skylabs Vision mobile app turns endless quantities of video into rich and meaningful content that can be immediately understood, shared, and acted upon. Using AI, Vision surfaces a video’s untapped value by helping users quickly understand what's happening within their business.

Coca-Cola is using today’s machine learning to take a new look at a century-old icon. Besides introducing consumers to Cortana Intelligence and giving them a new way to enjoy Coca-Cola, the project takes a fresh look at social media.

Uber uses the Face API, part of Microsoft Cognitive Services, to ensure that the driver using the app matches the account on file. This extra verification is not only fast, but works on all smartphones and in dim light, and scales to more than one million driver-partners.

By surfacing Azure ML data within Dynamics AX, JJ Food Service has simultaneously increased sales and customer satisfaction, and will—over time—streamline back-end operations even more.

Complex Networks used Microsoft Custom Decision Service to improve their visitors’ engagement with its owned and operated websites. Using AI, they automated and personalized the selection of featured site content, and produced improvement in user click-through rates.

To support their rapidly growing video content, Brainshark moved video to Azure, thus eliminating storage and processing constraints, and subsequently improving the end-user viewing experience.

To deliver high-quality, low-latency speech recognition, Human Interact chose the Custom Speech Service from Microsoft Cognitive Services for its virtual reality game, Starship Commander. The result is immersive, white-knuckle role-playing.

PicCollage is a popular mobile app that allows users to personalize photos and videos. It uses the Bing Image Search API from Microsoft Cognitive Services to allow customers to safely search for images that help them express their creativity.

GrayMeta Platform collects and organizes metadata from a company’s digital storehouse. With Microsoft Cognitive Services APIs, it can also analyze video files and determine who and what is contained within them.

Apttus designed, developed, and delivers its next-generation platform, Apttus Intelligent Cloud. The company does so using Microsoft Azure platform services, including Cortana Intelligence Suite, to provide enterprise customers with innovative, AI-driven outcomes.

LG CNS developed the cloud-based smart factory solution ezUMS. By collecting real-time data from factories or products, and implementing machine learning, they're able to better manage production to forecast breakdowns.

Zion created a device that collects real-time patient data and a companion mobile app that provides personalized advice and care. Using IoT Hub, ML and Power BI, they're able to serve real-time data from the device to the cloud, visualize insights, and generate proactive predictions of glucose and patient data.

Jabil uses Azure Machine Learning to detect and predict manufacturing failures of their circuit boards early in production. As a result, errors can be corrected prior to adding expensive electronic components resulting in reduced scrapped materials and warranty costs, and an increase in customer satisfaction.

Carnival Maritime used Azure to track and predict water usage, monitor the health of equipment, and analyze the data stream from the assets. With live operational data, Carnival Maritime is able to better maintain the expensive systems and equipment needed to keep a cruise ship in working order.

Rockwell transforms customers’ businesses using data intelligence and deep analytics services from Microsoft, including Cognitive Services and Bot Framework. Rockwell Automation worked with Great Lakes Brewing to bring automation and analytics into craft-brewing operations through its FactoryTalk Analytics for Devices.

Liebherr Group implemented Microsoft Dynamics CRM and Social Engagement. Now, they’re immediately alerted and able to react quickly to customer concerns, as well as industry news and trends.

Using Azure Machine Learning in the driver-in-the-loop simulator, team members can automate predictions—based on historical data and current conditions—of how Renault Sport Formula One cars will perform in future races.

The rapidly increasing volume of data from many different types of aircraft equipment can overtake an airline's ability to analyze it. By using the Microsoft Azure platform, Rolls-Royce is fundamentally transforming how it uses data to better serve its customers.

Lowe's customers can design their dream kitchen with the HoloLens kitchen design tool, which analyzes Pinterest boards to define their personal style, and provides product and design recommendations. The experience incorporates cognitive capabilities such as computer vision and natural language processing.

Global weather company AccuWeather is using a technology platform that includes Microsoft Azure and Microsoft Dynamics 365 to gain real-time intelligence into weather and business patterns.

Using a solution based on Microsoft Cortana Intelligence Suite, Arçelik A.Ş. brought forecasting accuracy up to 80 percent. Inventory turnover is expected to climb by 10 percent, service calls are made faster and more cost-effectively, and customers are happier.