Cognitive Computing and Big Data Analytics

CHAPTER 14 Future Applications for Cognitive Computing

The development of cognitive computing is at the early stages; however, the building blocks to create this new generation of systems are in place. Over the coming decade there will be many advances in both hardware and software that will impact the future of this important technology. So, the future of cognitive computing will be a combination of evolution and revolution. The evolutionary aspects of cognitive computing are foundational technologies such as security, data visualization, machine learning, natural language processing, data cleaning, management, and governance. There will be revolutions in the capability of systems to improve human-to-machine interactions. In addition, some of the biggest revolutions will come in the areas of hardware innovation.

For decades, advances in chip technology were based on increasing levels of component density and systems integration. Although conventional architectures will continue to improve along these lines, fundamentally different architectures are emerging that will have a bigger impact on cognitive computing performance. Neuromorphic architectures, which are “brain inspired” and use processing elements modeled after neurons, will have a profound impact on speed and portability. In particular, neuromorphic hardware will bring a new level of performance for scale up and will allow data to be processed closer to the source, including direct processing on mobile devices. Quantum ...