Artificial Intelligence – The Next Wave in Digitalization
Today, a powerful new digital technology is emerging - Artificial Intelligence (AI).
Previous waves of digitalization have delivered ubiquitous broadband, internet access for billions of people worldwide, mobile connectivity, and the Internet of Things (IoT) which has opened the door to a wealth of data and information. Now, by creating a real-time dialogue between people, things and information, we are entering a hyperconnected era where AI can be applied in real, everyday business situations.
The world will never be the same again. In many cases, from handwriting recognition to passing mathematics exams, AI has already proven more accurate than human experts. However, that’s not to say humans will be replaced by machines. With machines able to tackle more and more mundane tasks, workers will be enabled to focus on areas that add more value.
Latest insights and innovation
- PAC research report on what AI can bring to business applications
- Henry Chesbrough and Yoshikuni Takashige discuss Open Innovation as a growth strategy in the digital age
- Excitement or caution: seeing both sides of the AI opinion spectrum
- Using AI to analyze what retail customers look at and provide more personalized customer service
- Fujitsu's Glenn Fitzgerald on how AI is driving transformative change
- Blackboxing: How does AI reach the result it does?
- Webinar hosted by Fujitsu and PAC on how AI will drive value to your company’s business applications
Artificial Intelligence and Fujitsu
At Fujitsu, people remain central to our vision, with AI solutions centered firmly on empowering workers and citizens, creating value and supporting the work they do. The impact of AI on our lives may not be something that we will notice or appreciate overnight, however, one thing is clear - its progress is constant and inevitable. It’s only when we step back that we see how far we’ve already come, and appreciate the journey that’s still ahead.
Fujitsu Zinrai brings together diverse AI techniques and development threads. Zinrai itself is neither a service nor a product, but a collective framework for the broad family of AI capabilities that are available to Fujitsu customers.
Zinrai AI provides a human-centric approach to the co-creation of services and solutions. It utilizes ‘best of breed’ global technologies that have been developed and deployed to meet ever-growing customer challenges. By combining the strength of Zinrai AI development with carefully selected partner capabilities, we are able to deliver optimal AI supported solutions that overcome the challenges our customers face.
With our Zinrai AI offering we add a wide range of value-added services to the Fujitsu portfolio - which is focused on enabling customers to digitalize with confidence.
How Fujitsu is using Artificial Intelligence
What are the latest AI trends and innovations? How is Fujitsu developing and using AI solutions? And how are we co-creating with our customers to drive real world successes? Watch our AI videos to find out this and more.
You can watch more videos from Fujitsu on YouTube and discover more customer stories on our case study pages.
Transforming your industry with AI
In the business world, AI is radically transforming many industries. With its ability to identify patterns and detect anomalies in mountains of digital information it’s adding a new dimension, and once trained, it’s tireless in processing many standard tasks. For example – by adding AI to service desks and call centers, staff are freed from performing low-level, monotonous tasks, and are enabled to focus on addressing more complex technical problems/complicated requests, or delivering an enhanced customer experience/improved customer care.
Here are just examples...
Cyber attacks detection
Regulation and Security
Equipment failure prediction
Drug discovery assist
Customer Flow Analysis
AI in Manufacturing
Today, manufacturers are taking advantage of the benefits offered by AI – for example, machines can now take on monotonous tasks such as looking for defects in product manufacturing. As information on the manufacturing process is often widely dispersed throughout the factory environment, AI can be used for data collection and analysis to enable the stable production of high-quality products. Not only can machine learning improve accuracy levels, it can also reduce the time needed to analyze results. Within the area of predictive maintenance, AI can also identify the likelihood of product failure in the field.
AI in Healthcare
Healthcare is starting to take advantage of the benefits of artificial intelligence. Since this is a field that generates large quantities of clinical data, AI is perfectly suited to extracting insight by analyzing this input. For example, Fujitsu’s advanced clinical research information system HIKARI (which means ‘light’ in Japanese) uses AI to provide clinicians with insight to aid their decision-making, which is a perfect example of human-centric innovation and how AI is helping to create value for people and society.
AI in Transportation
Artificial intelligence is set to revolutionize the transport sector – as the brains of autonomous (self-driving) vehicles. Among the early wins in this field are logistics companies, who can already optimize delivery routes in real-time to avoid delays caused by traffic congestion.
AI in the Public Sector and Smart Cities
Today, within both smart cities and the Public Sector the use of AI is rapidly growing - for example, surveillance cameras are increasingly active in solving incidents.
Fujitsu Zinrai technology is already being utilized for people and vehicle image analysis. Movies or still images taken with surveillance cameras installed around cities are being analyzed using the latest AI technology to identified vehicles by type, model, and color, to support the discovery of stolen vehicles. In addition, image recognizers can detect information about people such as sex, clothing color, and personal belongings to support the detection of suspicious persons.
In addition, it is also being used for large city events to facilitate connecting the necessary number of security personnel based on the number and flow of people.
AI in Retail
Within the retail industry, artificial intelligence is already helping to deliver an improved customer experience without consumers even realizing. For instance, webchats with a brand or retailer use AI to respond to basic questions. As AI becomes more advanced these webchats will become more sophisticated and could provide customers with their own 24-hour personalized support. In addition, retailers are also making use of deep learning to analyze data coming from multiple channels, both digital and in-store, via sensors or video analysis, which is enabling them to deliver an enhanced and more personalized customer retail experience.
AI in Financial Services
One of the true strengths of AI is in the field of pattern recognition and analysis. Today, financial institutions are using artificial intelligence to model the potential direction of stock markets. AI is also extending the capabilities of analytics platforms - for instance, at Fujitsu, we have undertaken a proof of concept to analyze signatures to help detect fraudulent patterns. In addition, we’ve also been talking to banks about the use of facial recognition in ATMs - not only to improve security but also to personalize services.
See how we helped our customers solve their challenges with AI
“Fujitsu’s ground-breaking Artificial Intelligence technology dramatically cuts the time required for an inspection of turbine blades.”
Kenneth Lee Kaser, Head of Supply Chain Management, Siemens Gamesa. Discover how we worked with Siemens Gamesa to co-create an Artificial Intelligence solution to quickly identify flaws during quality checks.
Read case study
- Kawasaki Geological Engineering Co., Ltd: Using Artificial Intelligence to detect road cavities with the analysis time halved.
- Slingeland Hospital: Co-creating a real-time monitoring solution Ensuring better care and more informed medical decisions.
- Shimadzu Corporation: Co-creating a real-time monitoring solution Ensuring better care and more informed medical decisions.