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Bernard Marr

Bernard Marr is a world-renowned futurist, influencer and thought leader in the fields of business and technology, with a passion for using technology for the good of humanity. He is a best-selling author of 20 books, writes a regular column for Forbes and advises and coaches many of the world’s best-known organisations. He has over 2 million social media followers, 1 million newsletter subscribers and was ranked by LinkedIn as one of the top 5 business influencers in the world and the No 1 influencer in the UK.

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The Amazing Ways Hitachi Uses Artificial Intelligence And Machine Learning

2 July 2021

Since its founding in 1910, Japanese company Hitachi has been at the forefront of innovation with a philosophy to contribute to society through “the development of superior, original technology and products.” Today, Hitachi is a multinational conglomerate that offers operational products and services as well as IT-related digital technologies such as artificial intelligence and big data analysis. Its artificial intelligence and machine learning technologies are impacting not only their own services and products but how other industries such as healthcare, shipping, finance operate. 

Hitachi AI Technology/H

Announced in 2015, H is Hitachi’s solution for a generalised artificial intelligence technology that can be applied to many applications rather than just built for a specific application. H supports a wide range of applications and can generate hypotheses from the data itself and select the best options given to it by humans. In one experiment, a robot with H technology was able to teach itself how to swing. As you can see in the video, the process started with inconsistent movement that doesn’t create an effective swinging motion. Over a short amount of time, H tested hypotheses, learned from data, and altered the robot’s motion to ultimately create a swinging motion that is more effective than humans produce. So far, H has been applied in 57 projects in 14 areas from a warehouse management system to retail sales, call centres, finance, water plants, and more.

H uses natural language processing and deep learning to process information from multiple sensors and data points to ultimately find patterns in the data that humans would miss. It does not require a human to set up a hypothesis in advance, and it can grow according to the situation. The technology searches for conditions that are relevant to business objectives based on the information it receives and then determines a method to optimise these objectives.

Hitachi has used its artificial intelligence expertise to fight cyberbullying in Japanese schools, to develop new service platform businesses, and to understand and make decisions based on demand fluctuations and kaizen activities in the workplace. By using AI to generate logical dialogue in Japanese, the technology also helps support enterprise decision-making for global companies.

Cancer screening

Hitachi hopes its AI technology will help fight cancer. In what appears to be the first trials of its kind, Hitachi is screening urine samples, that can be collected by individuals in their home, for signs of breast and colon cancer. The research of donated urine samples from cancer patients revealed 1,300 metabolites, of which 30 are considered biomarkers of the disease. Once the urine samples are analysed, the technology looks for those biomarkers that indicate the body has cancer. While tests have been conducted for a couple of years, the most recent trial is to determine if room temperature samples are suitable for analysis. If the trials are successful, this can change the game for early cancer detection, save lives, and reduce the cost of treating cancer. People can mail in their urine test and not need to take time to visit the doctor’s office or experience more invasive testing procedures. Cancer screening through urine analysis is particularly beneficial for children who might fear needles and medical treatment. 

Food Waste

In another partnership, Hitachi is using AI to monitor and combat food waste at a hospital. Hospitals experience a significant amount of food waste for a variety of reasons. It’s also important to track what and how much patients are eating. Cameras mounted on the food trays take a picture of the tray to document what food is left over to help inform food service decisions and patient care. This data is then fed to Hitachi’s deep learning algorithms that will analyse the data to find patterns in the waste that humans wouldn’t be able to as quickly. Informed with this information, hospitals can adjust food service or patient care.


Stena Line, one of the largest European shipping companies, and Hitachi have partnered to improve ship fuel efficiency with the assistance of artificial intelligence to help reduce the emissions levels. The AI model that’s currently being tested evaluates many variables, including weather conditions, ship speed, and more. The technology allows analysis to be done at a pace and depth that’s not possible manually.


Many financial institutions are seeking AI-powered solutions to improve efficiency and lower costs, and Hitachi’s H big data analysis engine is a technology that can support their businesses. Since financial data evolves based on many variables, AI can assess large quantities of data to determine correlations, which can inform business decisions, forecasting, fraud detection, pricing, and more. AI can also help take over business processes. As these and other Hitachi applications show, artificial intelligence and machine learning continue to change how we problem solve and operate in business. 

Data Strategy Book | Bernard Marr

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