“NTT DATA Technology Foresight 2022” is composed of two sections: The “Introduction” section and the “Emerging Tech” section. The “Introduction” section provides a general view of the future while reviewing the ways IT has changed the world. The “Emerging Tech” section takes a deep dive into the changes happening in each area of technology and makes specific predictions about what to expect.
NTT DATA is deepening future-oriented communication while sharing information on trends with its customers. It is also contributing to new business creation by customers and to the transformation of society by developing the technologies and services that are needed to make that future a reality.
<NTT DATA Technology Foresight 2022 Trends>
NTT DATA has issued “NTT DATA Technology Foresight” every year since 2012 as a compass pointing the way to the future based on analysis of research into the latest trends in technology. In the latest case examples, studies, and many predictions of future trends, “NTT DATA Technology Foresight” finds hints to making optimal management decisions in a time of turbulent change.
◆ NTT DATA Technology Foresight 2022 “Introduction”
The “Introduction” section educes the following 3 trends.
- IT as a Growth Leader
- IT for Transcending Established Boundaries
- IT for Searching for New Norms
◆ NTT DATA Technology Foresight 2022 “Emerging Tech”
The “Emerging Tech” section educes the following 6 trends.
- Massive AI will Unlock New Possibilities
- Shape-Shifting IT Infrastructure
- Software will Become a Point of Growth
- Renewed Recognition of Data as the Driver
- Approaches to the Physical World
- Opening the Way to the Unknown Future
<The ideal that NTT DATA is aiming for and examples of deployment>
We at NTT DATA will use NTT DATA Technology Foresight to build a vision of the future with our global clients, and we are developing the technologies and services needed to achieve that vision.
The following are representative case examples from the past.
- GSF develops an alpha version of Software Carbon Intensity, a method for scoring the carbon emissions of software operations
The Green Software Foundation (GSF) has developed "Software Carbon Intensity (SCI)" , a method for scoring the carbon footprint of software. NTT DATA, as a GSF Steering Member, worked with other member companies to develop an alpha version of the method (SCI).
- A New Solution Method for Combinatorial Optimization Problems to Maximize the Computational Performance of GPU
NTT DATA Corporation and the research team of Hiroshima University, Graduate School of Advanced Science and Engineering led by Professor Koji Nakano have developed a new computational method, Adaptive Bulk Search, for high-speed search to retrieve solutions to the combinatorial optimization problems.
From this point forward as well, “NTT DATA Technology Foresight” will continue contributing to the creation of new business and the transformation of society.