NTT DATA Technology Foresight 2020

Technology Trends Driving Business Innovation

LOOKING AHEAD: Technology Trends Driving Business Innovation

NTT DATA R&D experts continuously analyze real-world case studies and other sources to identify the most significant technology and societal trends that we believe will drive change over the next three to ten years. The Information Society Trends provide our perspective on the evolution of society and business. The Technology Trends summarize our views on innovative technologies and their impact on the world.

Case Studies

Explainable AI & Human-AI Collaboration

With lower barriers to entry, AI is now being leveraged across a broad range of industries and organizations. However, the main impediment for its successful use is being addressed by explainable AI (XAI). XAI helps users to understand, trust and manage AI-produced outputs. The required explanations for XAI differ depending on specific tasks, abilities and expectations of the users.
NTT DATA is currently amassing important experiential knowledge of XAI by developing and implementing solutions for clients. For example, in an image search system, researchers are provided with a list of similar images according to his/her query, and XAI highlights the parts of the images that were used as determining factors for its result. By examining this detail to verify the results, users gain confidence in the AI output. Additionally, by understanding the reasoning behind the output, researchers can more effectively communicate their decisions. NTT DATA is creating a diverse collaboration between humans and AI while gaining essential experience in the selection of appropriate XAI models and alternative methods of explanation for specific applications.

Creating Value With Spatial Computing

To recreate physical things within a digital world requires digitizing their positions and conditions. The analysis and utilization of such information is expanding the emerging field of research called spatial computing. NTT DATA is working on spatial computing using analytics to extract and analyze data within a 3D space. This technology digitizes and records the type, condition and position of an object, then synthesizes the information with 3D maps generated from images captured using a standard camera. One of the promising applications for this technology is in social infrastructure research and maintenance. The value stems from automating the collection of elements across a wide region such as road conditions or traffic signs. In the future, our goal is to detect and analyze data from people and/or things and position them in a real-time environment. By combining this data with precise 3D mapping, simulations of events such as natural disasters will become highly accurate. NTT DATA continues to create significant value by leveraging spatial computing technologies to solve societal and business challenges.

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