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< back AI Use Case Predict commodity requirements Predict commodity requirements - typically to optimise procurement strategy for large industrial organisations. Function Strategy Planning Benefits Operational Support - Demand forecasting,Revenue - Improve trading decisions (eg market demand estimates) Case Studies ​ Potential Vendors ​ Industry Energy Oil And Gas Data Sets Structured / Semi-structured AI Technologies Traditional AI,Machine Learning (ML),ML Task - Prediction - Regression

< back AI Case Study 7-Eleven improved customer marketing and in-store capacity planning in Indonesia and Mexico using machine learning to predict demand variations 7-Eleven decided to use AI to optimise capacity planning and marketing. They established an information analysis environment to analyse patterns and gather valuable insights from point-of-sale data. Industry Consumer Goods And Services Retail General Project Overview 7-Eleven worked with Oracle to build a data lake and perform predictive analytics to gather insights into business processes for better-informed decisions, reduce data analysis cycle and lead time for promotional campaigns. While the strategy found success in other markets, in Indonesia it proved insufficient. They closed down operations in Indonesia as sales were impacted by external factors. Reported Results 7-Eleven claimed an enhanced level of customer service and optimized customer experience. They have since withdrawn the brand from Indonesian market while continuing operations in Mexico. Technol ogy ​ Function Marketing Marketing Research Planning Background 7-Eleven is a Japanese-owned American international chain of convenience stores, headquartered in Texas. Benefits ​ Data ​

< back AI Case Study Adore Me generates product insights by determining customer sentiment with a 92% accuracy based on natural language processing analysis of thousands of reviews Adore Me, an ecommerce lingerie retailer, analyses 1000s of customer reviews and feedback through natural language processing with a 92% classification accuracy. This helps them understand popularity of products and opinions resulting in product insights and improvements. Industry Consumer Goods And Services Retail General Project Overview "The solution uses AI informed by customer shopping data to accurately and automatically understand the natural language people use when writing a review about a product. This capability enabled us to score customer sentiment with 92% accuracy, which is incredibly helpful in uncovering topics and opinions about our products. The solution also made it possible for us to see how we stack up against companies in our industry, so that we could establish a competitive path forward." Reported Results Analyses thousands of reviews weekly and identifies customer sentiments with 92% accuracy. This saves several hours of manual work and leads to a better product line. Technol ogy ​ Function R And D Product Management Background "Adore Me is a women’s intimates company based in New York City. The company manufactures and sells lingerie, sleepwear, swimwear, activewear, and other products. Customer reviews were taking too long to go through as Adore Me became more and more popular. But the brand's identity was built on being close to customers." Benefits ​ Data 1000s of customer reviews.

< back AI Case Study Rolls Royce plans to predict maintenance requirements for jet engines to improve aircraft efficiency using Microsoft Azure's machine learning Rolls Royce and Microsoft have announced a partnership to monitor its jet engines and aggregate other data to predict maintenance needs and optimise scheduling. Other uses for the data analysis will be fuel consumption explanations for Rolls Royce's airline clients. Industry Transportation Airlines Project Overview "Starting with Azure IoT solution accelerators, Rolls-Royce will be able to collect and aggregate data from disparate and geographically distributed sources at an unprecedented scale... Initially, the types of data being processed include snapshots of engine performance that the planes send wirelessly during a flight, massive downloads of comprehensive “black box”–type data, technical logs, and flight plans as well as forecast and actual weather data provided by third parties. Using Microsoft Cortana Intelligence Suite, Rolls-Royce will be able to analyze a rich set of data and perform data modeling at scale to accurately detect operational anomalies and help customers plan relevant actions... By looking at wider sets of operating data and using machine learning and analytics to spot subtle correlations, we can optimize our models and provide insight that might improve a flight schedule or a maintenance plan and help reduce disruption for our customers. In expanding the scope of services Rolls-Royce offers its customers, fuel efficiency is one of the first and highest-yield areas that the company is targeting. By analyzing new data against existing forecasts, reference tables, and historical trends, Rolls-Royce will be able to help airlines understand exactly which factors—including flight plans, equipment maintenance, weather, and discretionary fuel—have the most impact on fuel performance". Reported Results Planned; results not yet available Technol ogy ​ Function Strategy Strategic Planning Background "Flight delays are a familiar headache for most people who fly on commercial airlines. At a personal level, they are disruptive and costly, but for the airlines the impact is exponentially larger. Minimizing the cost and disruption of maintenance activities is a key focus for these businesses. Rolls-Royce has over 13,000 engines for commercial aircraft in service around the world, and for the past 20 years, it has offered customers comprehensive engine maintenance services that help keep aircraft available and efficient. As the rapidly increasing volume of data coming from many different types of aircraft equipment overtakes the airlines' ability to analyze and take insight from it, Rolls-Royce is using the Microsoft Azure platform to fundamentally transform how it uses data to better serve its customers. Today, each engine has many sensors and generates thousands of signals, with a corresponding increase in the number of data points produced. As a leading provider of aviation engine services, Rolls-Royce examined these growing data analysis challenges and emerged with a plan to address the changing market with a more compelling set of services to meet the broader needs of the marketplace". Benefits ​ Data According to Microsoft: "Initially, the types of data being processed include snapshots of engine performance that the planes send wirelessly during a flight, massive downloads of comprehensive “black box”–type data, technical logs, and flight plans as well as forecast and actual weather data provided by third parties".

< back AI Case Study Riot Games detects anomalies negatively impacting project and software performance in real time to improve product delivery Using Time-series data analytics, New Relic's platform identifies patterns of usage to notice issues before it starts impacting users. The platform facilitates real-time monitoring, instant identification of root cause of issues and dynamic resource allocation. Industry Consumer Goods And Services Entertainment And Sports Project Overview "Riot Games has a wide array of applications, but it’s hard to fully absorb and prioritize actions from all the data we gain from monitoring. An automated tool like New Relic Radar has been valuable in guiding us to issues for services that operate in the dark. For example, Radar proactively directed us to a disk space utilization issue for a machine we don’t pay much attention to, enabling us to add disk space before it impacted users." According to New Relic, "Radar is a personalized feed designed to provide engineering and operations teams predictive and prescriptive insights into the critical services they are responsible for within their company’s software ecosystem. Radar analyzes the data from these services to identify patterns and potential issues—often previously undetectable—and provide actionable ways to resolve the issue. Learning from user engagement and actions, Radar constantly improves to ensure the most relevant recommendations are surfaced to meet user needs. Radar provides analytic recommendations via cards which contains interesting, relevant, and actionable data about a specific service or the ecosystem as a whole. " Reported Results Proactively identify issues before they impact customer experience. E.g: Predict disk space utilization issues enabling adding disk space before it impacted users Technol ogy ​ Function Information Technology Network Operations Background "Riot Games, Inc. is an American video game developer and eSports tournament organizer based in West Los Angeles, California." Benefits ​ Data ​

< back AI Use Case Determining threshold level at which to flag compliance risks Determining threshold level at which to flag compliance risks with the aim to minimise both 'false positives' and 'false negatives' both of which carry a cost Function Legal And Compliance Compliance Benefits Risk reduction - Reduced compliance risk,Risk reduction - Evaluate counter-party risk (eg credit scores),Cost - Reduce wastage Case Studies HSBC~HSBC reduces false positives for money laundering detection by 20% using AI to automate the system rules Potential Vendors ​ Industry Financial Services Banking Data Sets Structured / Semi-structured AI Technologies Machine Learning (ML),ML Task - Grouping - Anomaly Detection

< back AI Case Study Ross Goodwin trained a system to generate literary travel fiction using neural networks Ross Goodwin carried out a project to generate a 'novel' based on his cross-country trip from Brooklyn to New Orleans. He equipped the car with a surveillance camera, an old GPS unit and a microphone, all connected to its laptop which was in turn connected to a printer. Goodwin has trained a long short-term memory (LSTM) neural networks on hundreds of books and Foursquare location data, which the three devices and and the computer’s internal clock would feed with data along the trip. As the system was fed data, the 'results' were printed on paper and that is how the 'novel' was created. Industry Consumer Goods And Services Entertainment And Sports Project Overview "On March 25, 2017, a black Cadillac with a white-domed surveillance camera attached to its trunk departed Brooklyn for New Orleans. An old GPS unit was fastened atop the roof. Inside, a microphone dangled from the ceiling. Wires from all three devices fed into Ross Goodwin’s Razer Blade laptop, itself hooked up to a humble receipt printer. This, Goodwin hoped, was the apparatus that was going to produce the next American road-trip novel. The aim was to use the road as a conduit for narrative experimentation, in the tradition of Kerouac, Wolfe, and Kesey, but with the vehicle itself as the artist. He chose the New York-to-NOLA route as a nod to the famous leg of Jack Kerouac’s expedition in On the Road. Underneath the base of the Axis M3007 camera, Goodwin scrawled “Further.” Along the way, the four sensors—the camera, the GPS, the microphone, and the computer’s internal clock—would feed data into a system of neural networks Goodwin had trained on hundreds of books and Foursquare location data, and the printer would spit out the results one letter at a time. By the end of the four-day trip, receipts emblazoned with artificially intelligent prose would cover the floor of the car. They’re collected in 1 the Road, a book Goodwin’s publisher, Jean Boîte Éditions, is marketing as “the first novel written by a machine.” (Though, for the record, Goodwin says he disagrees it should bear that distinction—“That might be The Policeman’s Beard Is Half Constructed by a program from the ’80s,” he tells me.) Regardless, it is a hallucinatory, oddly illuminating account of a bot’s life on the interstate; the Electric Kool-Aid Acid Test meets Google Street View, narrated by Siri. Throughout the journey, data from the different sensors produced sentences of varying poeticism: Latitude and longitude coordinates were printed verbatim and appended with mysticism (“35.415579526 N, -77.999721808 W, at 154.68504432 feet above sea level, at 0.0 miles per hour, and the first flat of the story in the country is the first in part of the world”). Images were converted into ghostly prose (“A ski lift business for the last time the train was already being darkened and the street was already there”). Locations recognized from the Foursquare dataset were surrealistically remarked upon (“Eagles Nest Diner: a american restaurant in Goldsborough or the Marine Station, a place of fish seemed to be a man who has been assembled for three days”). Dialogue from the mic was captured and mutated (“I somewhat when i’m on why i didn’t get hurt yeah my car is an every down i know?”)." Reported Results The system generated a 'novel'. Technol ogy ​ Function R And D Product Development Background "A former ghostwriter for the Obama administration, Goodwin describes himself as “a writer of writers.” Using neural networks, he generates poetry, screenplays, and, now, literary travel fiction. I first encountered his work when his algorithms transformed the Senate’s 2014 torture report into a novel. In Narrated Reality, his master’s thesis at NYU, Goodwin loaded his backpack with devices (a compass, a punch clock, and a camera) that fed their data into long short-term memory (LSTM) neural networks as he walked around the city, churning out weird associative poetry. A sample: “All the time the sun / Is wheeling out of a dark bright ground.” So, when a machine hacker in Biloxi finished fabricating a custom piece of hardware for him, Goodwin decided to upgrade his nascent AI and take it cross-country." Benefits ​ Data "The four sensors—the camera, the GPS, the microphone, and the computer’s internal clock—would feed data into a system of neural networks"

< back AI Use Case Identify and source potential candidates in the market Proactive sourcing of potential candidates for roles using social media, industry databases and other sources like news feeds Function Human Resources Recruitment Benefits Operational - Candidate selection,Cost - Improved advertising efficiency,Other - Reduce unconscious bias Case Studies Opower - an Oracle company~Opower increases female hiring by 18% and minority technical hiring by 600% with the use of machine learning to manage the recruitment life-cycle,Schneider Electric ~Schneider Electric expands its potential candidate database to 275m and identifies candidates matching jobs using machine learning,Orange Silicon Valley~Orange Silicon Valley speeds up project completion using TARA machine learning hiring and project management platform,"Albert Heijn~Albert Heijn, a Dutch grocer, reduced time to hire by 67% and improved candidate satisfaction by using machine learning to better match applicants to roles" Potential Vendors Entelo,TARA AI,Harver Industry ​ ​ Data Sets Text AI Technologies Product Type - NLP - Text Mining,Machine Learning (ML)

< back AI Case Study Seattle Reign FC aim to minimise sports injuries through deployment of Microsoft's Sports Performance Platform Seattle Reign FC - a soccer team in the US - deployed Microsoft's Sports Performance Platform to support better training and injury avoidance strategies for its players. Multiple data sets helped build individualised dashboards to guide the right approach for each player. Industry Consumer Goods And Services Entertainment And Sports Project Overview According to Microsoft "Built on Power BI, Microsoft Azure and Microsoft Surface devices, Sports Performance Platform helps athletes and teams close that gap by giving them access to advances in cloud computing, data aggregation, machine learning and predictive analytics. Combined, these solutions can transform how they play based on new data-driven decisions made on the sidelines, in the locker room and in the sports performance lab. Coaches can create an aggregate view of insights on an athlete’s performance, recovery and readiness, enabling them to run predictive modeling for injury prevention, make clutch-time decisions on a player’s game-day availability and design practice regimens that keep each athlete playing at the optimum level. Microsoft partners Akvelon, Fair Play and POP are helping customers deploy and customize Sports Performance Platform. The Seattle Reign FC is one of the first teams to use Sports Performance Platform. Laura Harvey, head coach for the Seattle Reign FC, and Nick Leman, director of high performance, use GPS data from Catapult and the Fit For 90 monitoring platform to track data about factors such as a player’s heart rate, speed, acceleration and deceleration. Sports Performance Platform aggregates data from these disparate sources into one centralized view. Sports Performance Platform leverages Power BI to provide live dashboards that offer a view into player readiness, training and soreness, among other factors. This dashboard is showing each player’s speed and distance on any given day. This data is then used to validate the design and efficacy of each day’s training plan. Following each match, Leman can review the GPS and Fit for 90 data in one centralized view within the platform. If the players sprinted more than normal, then they might experience more muscle soreness, and if the temperature on game day was especially hot, then they might have experienced more cardiovascular fatigue. Having this data can help Leman give informed recommendations to Harvey on how many days of recovery to give each player, and how hard to train her during her first session back. Reign coaches and performance staff can also track athlete performance over a season, or multiple seasons, more easily and look for players with the speed, agility and explosiveness that are vital for excelling at the professional level. The team is also planning to extend Sports Performance Platform to its Reign Academy, which provides coaching and training for up-and-coming female soccer players in the Pacific Northwest." Reported Results Results undisclosed. (According to Wikipedia, Seattle Reign FC finished 5th in the League and did not qualify for the play-offs in 2017, but this probably has less to with its support systems than results on the field...) Technol ogy ​ Function Strategy Analytics Background Minimising injuries to players is a critical element to sustaining a successful season for a team. Optimising training schedules can help deliver a better outcome. Benefits ​ Data ​

< back AI Use Case Identify fraud, waste, and abuse patterns from clinical and operations data Identify fraud, waste, and abuse patterns from a variety of clinical operations data. This would typically occur at a cross-functional level, but could be at an individual, operating unit or institutional level. Function ​ ​ Benefits Cost - Reduce wastage,Cost - Fraud reduction Case Studies Sheba Medical Center~Sheba Medical Center ensures accuracy of prescriptions and eliminates human error using machine learning Potential Vendors ​ Industry Healthcare Healthcare Providers And Services Data Sets Structured / Semi-structured,Images AI Technologies ML Task - Grouping - Anomaly Detection,Machine Learning (ML)

< back AI Case Study Wasco water treatment plant pilot optimises treatment of 210K gallons of water a day for recycling using AI Wasco water treatment facility is implementing MembranePRO's AI system to reuse water used in oil refining. The system analyses the pollution content of the water and provides a recommendation on how to treat it. Initially 210K gallons of water per day will be recycled and reused. Industry Utilities Gas Water And Multi Utilities Project Overview According to Bakersfield Now, the water treatment plant uses technology from MembranePRO to turn "brown, oil-polluted wastewater, into clean, reusable water. AI algorithms and breakthrough membrane technology to take gallons of water, analyse how polluted it is, and determine the most effective treatment method... This strategically located water treatment facility provides significant environmental and economic benefits to the region. Local oil and gas producers now have a reliable, economical and sustainable option for converting 210,000 gallons per day of produced water into high quality clean water for reuse. Oil and gas producers, agriculture and industry throughout Kern County and Central Valley can now use this recycled water for their operations, reducing the need to utilize precious freshwater resources." Reported Results "The treatment plant will soon be recycling up to 420,000 gallons per day, fueled by growing demand by oil producers who see this as a cost-saving solution." (Bakersfield Now) Technol ogy Details undisclosed Function Operations General Operations Background According to Bakersfield Now: "For the first time in California, water treatment is leveraging artificial intelligence... One barrel of oil can produce up to 100 gallons of waste water, costing the oil and gas industry hundreds of millions of dollars to dispose of." Benefits ​ Data Details undisclosed

< back AI Use Case Automate users' investment portfolio recommendations through a robo-advisor Automate (robo-advisor) recommendations for users' investment portfolio advice based on user-completed survey (users must purchase/manage portfolio themselves) Function ​ ​ Benefits Cost - Job automation,Revenue - Improve trading decisions (eg market demand estimates) Case Studies ​ Potential Vendors ​ Industry Financial Services Investment Banking And Investment Services Data Sets Structured / Semi-structured,Time series AI Technologies Traditional AI,Model Architecture - Decision Tree,Machine Learning (ML),Product - Chatbots,Product Type - Natural Language Processing (NLP),ML Task - Prediction - Data Translation/Transformation