Human Resources
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
Abellio London claims it reduced bus collisions and injuries by 29% and 60% respectively with collision avoidance technology
London’s leading bus operators, Abellio London, have collaborated with Intel''s Mobileye to launch a trial of safety technology. The aim of the project is to reduce bus collisions with cyclists, motorcycles, pedestrians and other road users and hence injuries. 66 buses were included in the trial, on three of the company’s London routes, and were equipped with a camera unit installed on the inside of the windshield and a display placed in the driver’s cab both providing audio and visual warnings. Findings to date who that Mobileye collision avoidance technology has managed to reduce collisions by 29% and reduced injuries from such collisions by 60%.
Linked use case: Automate driving with self-driving vehicles
Airbus is offering a virtual assistant for astronauts that gives companionship and expert advice while in space through a neural network based astronaut assistance system
Airbus has designed an AI-based assistant for astronauts, a machine able to support space flight crews by problem solving and ensuring the completion of a routine schedule. Using IBM''s Watson it provides the psychological support of talking to a crew member, which is believed is crucial for the success of long-term missions. The assistant will first be tested by Alexander Gerst on the ISS during the European Space Agency’s Horizons mission in mid-2018.
Linked use case: Deploy robots to replace human staff
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
The Dutch retailing corporation, Albert Heijn, used machine learning to improve candidate expectation management, increase satisfaction and establish a better fit between applicants and the traineeship they applied for.
Linked use case: Identify and source potential candidates in the market
Amazon stops using machine learning program to evaluate job candidates based on historical resume datasets due to gender bias
Amazon shelved a human resources project which used machine learning trained on historic data to analyse and reject job applicant resumes. Because it was trained on data from which human hiring decisions had been made, it perpetuated those engrained biases, and it has been revealed that in 2015 it stopped analysing resumes in this way.
Linked use case: Automate CV and resume screening
Assistance publique – Hôpitaux de Paris optimises staffing by predicting emergency room admission rates by hour and day using machine learning
Using TAP the open source AI platform powered by Intel to analyse data from internal and external sources such as hospital admissions records, emergency arrival rates can be predicted accurately. This has led to better staffing and resource allocation at the hospital.
Linked use case: Predict potential staffing requirements to optimise resourcing
Aviva accelerates from 400 to 10 days post-merger organisational planning and employee data integration with the use of machine learning
Aviva wanted to accelerate the post merger integration with Friend''s Life. They used Concentra''s AI powered OrgVue to help design a new integrated organisation and merge employee data from disparate systems. Time was reduced from a typically 400 days to ten.
Linked use case: Optimise staff and resource planning
BBMV reduced construction worker fatigue and impairment time while on duty by 24% with sleep monitoring devices
BBMV has construction workers wearing sleep monitoring devices which feed data through fatigue detecting algorithms into an app which allows the workers and their supervisors to gauge their level of alertness and predict problems further in their shifts.
Linked use case: Monitor staff alertness levels to ensure safety and productivity
BMW increases worker safety and productivity and space utilisation through human-robot-collaboration
BMW is leveraging the KUKA LBR iiwa lightweight robots at its plant in Munich, to assist workers and operators with monotonous and physically strenuous tasks. The otherwise endangering collaboration of human and robots (HRC) has become safer as the lightweight robots are enhanced with AI and machine learning technology, enabling them to be capable of working along humans and being easily programmed. BMW has managed to support its employees while also saving roughly 25% more space, as the robots do not require fences or other safeguards within the factory.
Linked use case: Accelerate and support key processes with improved human-robot collaboration
Bank of America improved call centre completion time by 23% by tracking and analysing behavioural data with machine learning that identified employee performance increases when they network and share ideas
Bank of America used smart badges to track call centre employee activity with smart badges. They recorded details such as employee office movement, who they interacted with, their tone of voice and whether they leaned into listen or leaned back. The data was analysed with machine learning and they identified that "network cohesiveness" could drive performance as employees were more likely to share ideas and help each other. This resulted in improved call centre completion time by 23%.
Linked use case: Map physical behaviour and interaction across the organisation to Improve team productivity
Bank of the West announced implementation of Pindrop''s machine learning fraud detection software in its call centres
Bank of the West has turned to Pindrop to improve security and fraud detection for its call centre customer service by analysing customer voices and other call data during the phone call to determine caller authenticity.
Linked use case: Detect potentially fraudulent or nefarious users
Bharti Airtel reduces time to hire from weeks to days and offer-drop rate from 80% to 26% through predictive hiring
Airtel had a staggering 80% offer drop rate (i.e only 20% of offers were accepted). They used Belong''s AI platform to identify candidates who are likely to match the company profile and implement a targeted approach. They also redesigned the hiring process such as changing job titles to appeal better to the right candidates.
Linked use case: Identify key characteristics of successful employees for recruitment and career development support
Blackburn Rovers Football Club increasing productivity by identifying staff who had excessive personal computer use
The Blackburn Rovers, a professional soccer club in the UK, started monitoring computer and internet usage of staff using Veriato''s machine learning solution. In addition to this, employee communication is also monitored. The software also helped them stay compliant with the rules and regulation of the worldwide Payment Card Industry (PCI) Data Security Standard.
Linked use case: Monitor and measure employee digital media access to support productivity improvement
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
Brooklyn Dynamics researching an athlete scouting application based on machine learning of historic data
Brooklyn Dynamics has been building data sets of individual performance - their "data CV" - to support player measurement. This builds on the approach to discovering undervalued players popularised in ''Moneyball''.
Linked use case: Track and analyse individual sports players to predict likelihood of success
BuzzFeed attracts more suitable job candidates through recruitment response automation using uses IBM Watson and Uncubed
BuzzFeed is working with recruitment platform vendor Uncubed to provide video answers to questions candidates have regarding the company and roles during the application process, automating the responses via chatbot and allowing candidates to be better self-selecting.
Linked use case: Automate responses to candidate questions during recruitment and enhance candidate engagement
CV Compiler analyses technical resumes and recommends improvements using machine learning
CV Compiler, developed by Andrew Stetsenko and Alexandra Dosii, is a web app that analyses and then suggests corrections to technical CVs to attract recruiters at big tech companies like Google, Yahoo and Facebook, using machine learning. The algorithm has analysed 1 million resumes and has learnt to scan for keywords that are industry-specific. Thus far, 10,729 professionals have compiled their resumes using the tool.
Linked use case: Automate CV and resume screening
Capco builds more efficient teams by determining the optimum mix of values with machine learning analysis of online quizzes
Capco, a global business and technology consultancy, uses Saberr''s Analytics AI platform to analyse data collected from personality quizzes to map values of team members and identify the optimum mix and thus the most efficient combination.
Linked use case: Assess compatibility of employees or candidates to form efficient teams
Coursera launches employee learning and skill gap assessment tool for businesses using machine learning
Coursera has introduced a feature which allows its corporate customers to determine how their employees are doing with online learning courses as well as identify skill gaps compared with other companies. This is done using machine learning and provides companies with metrics for their employees'' skill gains while giving them the opportunity to recommend training modules.
Linked use case: Recommend individualised training activity
Evernote doubles click-to-apply on Glassdoor and attracts ten to forty percent more candidates from underrepresented groups by optimising job descriptions using machine learning
With the help of Textio, Evernote started attracting more candidates from diverse backgrounds. Textio edits job descriptions and messages to a more neutral language. Evernote received 40% more applications from female candidates and 10% more from other underepresented groups.
Linked use case: Optimise job posting descriptions to attract better and more diverse candidates
Fukoku Mutual Life Insurance expects to save $1.2m a year from salaries by replacing 34 employees with an AI system that calculates insurance payouts.
Fukoku Mutual Life Insurance is replacing 34 staff with an AI system. The system, which is reported to be based on IBM Watson, is aimed at reading medical certificates, and data on surgeries or hospital stays to gather information for insurance payouts. The company is expecting to increase productivity by 30% while saving 140m yen (£979,500 / $1.2m) a year in salaries.
Linked use case: Deploy robots to replace human staff
GMI Insurance Services monitors employee activity to identify malicious activity and other sources of productivity decline using machine learning
GMI Insurance Services is using Veriato''s machine learning powered platform to monitor employee activity on desktops, emails, chats etc and understand patterns of malicious or inappropriate activities. GMI has been able to improve employee productivity by identifying employee behavioural patterns using the solution.
Linked use case: Map communications across the organisation to improve team productivity
Goldman Sachs widens graduate interview pool, and streamlines the processing of them, with first round job interviews conducted using video analysis
Applicants are asked questions on the screen of their PC and their answers are recorded. These videos are then scanned by algorithms picking up which words or phrases are used, the manner and style of responses and the level of confidence projected. This has the potential to reduce unconscious bias - assuming that the algorithms have been trained appropriately.
Linked use case: Automate interviewing via video to scan for pre-determined characteristics
Google improves hiring process, employee on-boarding, training, productivity and retention rate using people analytics
Using machine learning, Google identifies patterns to improve hiring, team management and personalised training. They have revamped HR processes, identified four interviews are optimal for hiring, how to be more effective as managers, personalised training for managers, how to retain employees particularly female employees after maternity leave.
Linked use case: Predict staff at risk of churn to assist with HR retention strategies
Halvor Lines increases driver performance by 100% over previous systems using machine learning evaluation system
Halvor Lines transport and logistics has piloted a driver performance detection system which uses cameras to evaluate both risky and good driving events. The feedback is automatically sent to managers and drivers are warned or rewarded as events happen. In the pilot driver performance improved a purported 100% over using legacy video systems.
Linked use case: Identify performance and risk for employee drivers through driving patterns and other data