Slideshow JULY TOP READER PICK Future of Big Data: 12 Society & Tech Trends to Expect

Published
  • July 26 2016, 6:30am EDT
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Future of Big Data: 12 Society & Technology Trends to Expect

What does the future of big data hold? NTT Data released the 4 areas of information technology trends and 8 technology trends in its report "Looking Ahead: Technology Trends Driving Business Innovation."

Information Society Trends

NTT Data divides the impact of big data into information society trends and technology trends. Information society trends include all things related to the individual and their devices.

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Power of the Individual

The growing influence of individuals will transform existing societies and industries. Digitation will force providers to extend their existing business models to be more customer-centric, embracing the increasing power of the individual.

Decentralized Collaboration

Many people and all kinds of things will be linked to the Internet, resulting in innovation. Each component will act autonomously, and a new ecosystem will be built where relationships will change dramatically.

Hyperconnected Society

Big data analytics will fuel innovation. Products after shipment will become ever-evolving things with growing functionality and performance. This in turn will boost customer value and promote the transfer of business models.

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Smarter Society

The physical-digital convergence will broaden in scope. More flexible and effective use of technology will create new value, improve social issues, and lead to a smarter society.

Technology Trends

Eight technology trends will take control in 2016, according to NTT Data. These will be driven by machine learning, artificial intelligence, and engineering innovation, among others.

Immersive Interaction

Devices and technology to enrich one’s perception of reality is emerging. By enabling people to naturally perceive and utilize more information, new computer interaction can potentially transform human behavior and enhance the scope of their actions.

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Precision Life Science

DNA analysis has become readily available and obtaining continuous biological information will be easy thorugh the use of sensors. Analytical research utilizing large volumes of shared data will enable a better understanding of people’s lives leading to positive changes.

Symbiosis with Artificial Intelligence

Advanced machine learning algorithms will enable computers to understand time and be aware of context. Hence, the roles of computers will expand. The coexistence of humans and computers will advance through an evolution where people will take charge of work to realize overall optimization.

Autonomous Mobility

Next-generation mobility centered around connected cars will innovate the transportation of people and things. Cities will develop as a fluid system through real-time, mutual sharing of information, including the transportation of people, the operator’s condition, and the external situation.

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Ambient Commerce

Service tailored to the preference, affiliation, and condition of individual customers will emerge. The continuum of customer point of contact, from discover, purchase, payment and receiving of products, will become seamless, enabling customers to have a stress-free experience.

Distributed Mesh Computing

New distributed architecture has appeared to adapt to cloud-native applications and big data processing. “Block chain,” the peer-to-per bitcoin platform, is expanding its application to diverse systems, not limiting its use to virtual currency.

Cyber-Physical Security

The advent of Internet of Things has extended the impact of cyberattacks to the physical world, requiring every device to have security measures. To cope with the growing scope of cyberattacks, joint defense, such as immediate sharing of threat information, is required.

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Engineering Innovation

The application of new technologies to manufacturing, such as virtual reality, sensors, 3D printers, and robots, will lead to sophisticated digital manufacturing. The application of design methods that make products evolve through the repetition of high-speed verification will expand.