Information Technology
Case Studies
30SecondsToFly struggles to scale the automation of SMB corporate travel management with the deployment of text chatbots
30SecondsToFly''s Claire, a travel assistant, uses natural language processing and machine-learning capabilities to assist travellers with their bookings. The technology can provide SMBs with a valuable customer service provider able to adhere to a company''s travel policies. The chatbot is available to process booking queries through SMS or the messaging platform Slack.
Linked use case: Automate customer service conversations through a text chatbot
ASOS.com researchers demonstrate improved customer lifetime value predictions using neural networks and automatic feature selection but do not advise implementation due to increased cost
ASOS researchers demonstrate how the currently used customer lifetime value prediction system can be improved through the use of automatic feature selection. These predictions are used in business operations such as marketing for customising and targeting retention strategies. However, due to the increase cost associated with running the best performing system, it is not at this time considered a commercially viable solution.
Linked use case: Model and predict customer lifetime value
AT&T monitors its network constantly offering seamless service and plans maintenance and upgrades optimally using machine learning
AT&T is automating network monitoring, using machine learning to predict traffic demand based on historical data, day and time, and generate alerts. All the equipments are monitored to detect anomalies and plan optimal predictive maintenance schedule.
Linked use case: Optimise network traffic load balancing
Acer America improves service by decreasing repeat caller rate by 15% with responses powered by natural language speech recognition.
Acer America drives service improvements with Nuance''s natural language speech recognition technology on hosted IVR platform. The solution, which is based on Natural Language Processing (NLP) to offer call steering, has helped reduce repeat caller rate by 15% and decreases average call time by 50 seconds, among other benefits.
Linked use case: Optimise call routing based on customer characteristics potentially including expressed intent
Adobe Research team investigates current approaches in machine learning for automating data cleansing and finds them inadequatee
Researchers from Adobe Research investigate the ability of metric learning techniques to automatically clean data. These approaches assume that datasets can be described in pre-defined ways, and that cleaning methods will work similarly well for similarly defined datasets. Ultimately, however, they find this not to be the case with the implication being that current cleaning standards are inadequate.
Linked use case: Automate data cleansing and validation
Adobe is developing technology to detect manipulation in images using a deep neural network
Adobe revealed that it is currently working on developing an AI system that spots whether an image has been altered artificially. It does so using a deep neural network which is trained on existing data sets of altered images.
Linked use case: Detect manipulated or falsified media
Allstate is offering pay-as-you-drive plans based on measurement and analysis of customer real-time driving behaviour resulting in up to 30% reduction in premiums
Allstate insurance offers pay-as-you-drive plans in 30 US stages that reflect miles driven along with customer driving behaviour such as braking style, time of day and speed. Using sensors in the car along with advanced analytics drivers can lower premiums by up to 30%. Allstate better aligns premiums and risk with customers.
Linked use case: Create more personalised insurance pricing based on actual monitored customer behaviour
Amazon announces its Comprehend Medical platform to analyse unstructured medical texts
Amazon has announced a machine learning service for analysing and extracting information from different unstructured medical records and text. Comprehend Medical is accessible for developers through AWS, and is partnering with healthcare research centres to assist with things like clinical trial patient matching.
Linked use case: Optimise clinical trial design including patient selection
AstraZeneca improves internal management of its global data sources through organisation, search and information extraction using an AI platform
AstraZeneca implemented an AI-powered platform to extract information and automatically classify both its internal and external knowledge resources in order to aid information search and research and development efficiency within the company.
Linked use case: Scale and support data management and monitoring
Atos SE deploys Robotic Process Automation to automate extracting information in IT tasks
Atos SE automates IT tasks such as ticket management, incident management and server load balancing. These tasks were previously done manually.
Linked use case: Improve administrative productivity with Robotic Process Automation
Aviva offers up to 30% discounts on insurance premiums based on actual driving behaviour that is monitored and analysed through machine learning
Aviva offers up to 30% discounts on insurance premiums based on machine learning analysis of actual driving behaviour. With an app Aviva is able to measure individual customer driving acceleration, cornering and braking. Driving behaviour is correlated to risk and premiums through advanced analytics. Those with lower risk driving are offered lower premiums.
Linked use case: Enhance motor insurance by predicting driving behaviour through the use of language in Facebook posts
BLOKWORX, an IT security services firm, to detect potential cyber threats using machine learning
BLOKWORX manages IT security for its clients 24/7. As mobile and web touch points are increasing exponentially, they need to upgrade their security offerings. They are using Deep Instinct''s platform to detect malware, ransomware and cyberattacks across all the platforms to prevent zero-day and advanced threats.
Linked use case: Manage cybersecurity threats and regulatory reporting
BMW will self-diagnose faults and issues limiting car performance and collect data from connected vehicles with machine learning analytics
BMW is planning to use IBM''s cloud infrastructure to deploy its new platform for collecting data from connected cars. IBM announced it''s become a "pilot partner" with the German automaker.
Linked use case: Discover anomalies across fleet of vehicle sensor data to identify potential risks
BakerHostetler plans to improve research process efficiency by implementing the ROSS legal bot
BaskerHostetler has entered an agreement with ROSS Intelligence to use its AI chatbot platform, ROSS, to assist its bankruptcy team in research. Lawyers can query ROSS, which then searches through documents and provides relevant answers.
Linked use case: Codify legal expertise for automated deployment
Baltimore Gas and Electric generated $2.8 million in economic benefit from identifying fraud and unbilled energy usage with machine learning
Baltimore Gas and Electric Company (BGE) is leveraging machine learning to identify and tackle unbilled energy usage. In doing so, the company has generated $2.8m in economic benefit and is expecting its annual economic benefit to reach $20 million. The company is using C3 IOT''s solutions, such as C3 Revenue Protection™ and C3 AMI Operations™ to improve the operation of its advanced metering infrastructure (AMI) network.
Linked use case: Identify potential fraud from utility consumers
Bank of NY Mellon reduces processing and trade entry turn around time by 88% and 66% respectively using robotic process automation.
BNY Mellon has deployed more than 20 bots since the start of 2017. Using robotic process automation, the bank uses the bots to complete repetitive tasks, from back office tasks to customer service, enabling its employees to focus on value-adding services. Using software from Blue Prism, the company has improved its processing and trade entry turn around times and estimates that it will achieve an annual saving of $300,000 through its funds transfer bots.
Linked use case: Improve administrative productivity with Robotic Process Automation
Barclays automates processing and reduces bad debt provisioning by millions using Robotic Provision Automation
Barclays implemented RPA across a wide range of processes including accounts receivables, fraudulent account closure, loan application opening, ''right of setoff'', etc automating documentation process.
Linked use case: Digitise and automate processes using Robotic Process Automation (RPA)
Beijing Tian Tan Hospital is testing the detection of type, location and severity of a stroke using machine learning
Beijing Tian Tan Hospital is testing the detection of type, location and severity of a stroke using a machine learning from Infervision. Accurately estimating blood loss and location of a stroke is critical to determining treatment. Time is critical due to brain cell death after a stroke. Training deep neural networks on CT images of brain stroke patients allows diagnosis to be made more quickly and accurately.
Linked use case: Diagnose known diseases from scans, images, biopsies, audio and other data
Berkeley Lab to use deep learning to analyse alternate data sources for more accurate predictions of air quality
The US Department of Energy’s Lawrence Berkeley National Laboratory (Berkeley Lab) are using deep learning methods to analyse additional information, such as satellite images and cellphone data, to more accurately predict air quality levels.
Linked use case: Accelerate data integration from multiple sources
BlaBlaCar optimises conversion rate and improves retention with machine learning predictive analytics that integrate data from multitudes of sources
BlaBlaCar leveraged Dataiku Data Science Studio, which provides analytics solution allowing users to connect to a wide range of data to build predictive models. The company is aimed at increasing its business intelligence productivity and develop a better understanding and grasp on data lead, which led to improvement in retention and conversion rates.
Linked use case: Accelerate data integration from multiple sources
BlueDot identified Wuhan pneumonia outbreak from social media posts before WHO made public announcement on COVID-19
BlueDot picked up on a cluster of “unusual pneumonia” cases happening near a market in Wuhan, China, and flagged it. This would become better known as the epicentre of what would come to be known as COVID-19. This was nine days before the World Health Organization released its statement alerting people to the emergence of a novel coronavirus in China.
Linked use case: Track and predict disease vector in general population
British Telecom improves network security by using machine learning to detect real-time cyber threats
BT has deployed Darktrace''s Enterprise Immune System to protect its network and large datasets. The system records daily patterns of network activity and creates a baseline model of the network. Any deviations or anomalies are classified as threat instantly and alerts are generated.
Linked use case: Manage cybersecurity threats and regulatory reporting
CAS reduces time spent on contract analysis for Brexit implications by 75% using a machine learning platform
CAS is using the Luminance platform to analyse contracts for clauses which could have specific Brexit implications, leading to a 75% reduction in time spent in identifying contract clauses.
Linked use case: Automate contract due diligence
Capgemini improves software development productivity and quality by using machine learning driven "low-code development"
Capgemini uses Mendix''s AI powered low-code development platforms to manage enterprise software development visually, using it for development, deployment and maintenance. The platform uses machine learning algorithm trained on 5 million application flows built across 15 industries to predict the next steps with 90% accuracy and assist development.
Linked use case: Automate software coding, testing and production deployment
CargoMetrics analyses satellite shipping imagery and plans to to identify investment opportunities based on the data with machine learning
CargoMetrics is an investment firm which uses satellite imagery to collect shipping data and is analyzed using proprietary algorithms in combination with other data to make commodities, equity index futures, and currencies trading decisions. It is building a machine learning system to identify investment decisions based on its various data sources.
Linked use case: Predict asset price movements based on greater quantities of data to inform trading strategies