In humans, we use context as the basis for understanding all the data that flows through our perception and inside our cognition. Context in its simplest form provides a categorization for the things we perceive. It is how we communicate with each other, how we solve problems and how we learn. Each and every perceptive element can be described and categorized by humans in some way. This is the act of applying context through communication that is consistent with others.

Paris and Amsterdam – Nexyad, the embedded, real-time platform for aggregating on-board data, and HERE Technologies, the leading location data and technology platform, are now working together to apply cognitive AI to road safety. Nexyad uses cognitive AI to aggregate extensive data sources in a vehicle in real time and interprets them to assess whether a certain driving behaviour is appropriate given the surrounding context. Nexyad's assessment, that can easily be delivered to a driver via a mobile phone, can be calculated from four sets of data only: HERE map, Global Navigation Satellite System, electronic horizon and acceleration. Nexyad's platform is also scalable and can aggregate data from Advanced Driving Assistant Systems (ADAS) sensors to include camera, radar and lidar, weather (visibility and temperature), and traffic data. Nexyad's real-time data aggregation platform provides two output values 20 times every second: the lack of caution of the driver and the maximum speed recommended given the road conditions – legal speed limit, road roughness, topography of the road, weather, and traffic.

AI have entered into a partnership to provide TOPdesk users with expanded IT support through cognitive Artificial Intelligence (AI) by using Amelia, IPsoft's industry-leading digital AI colleague, as a digital IT service desk employee. Amelia will automate routine IT service desk functions to deliver efficient and more timely support services to TOPdesk users, freeing up time for support employees to focus on more critical tasks. AI solution is offered as a service and integrated with TOPdesk's service management software, using Amelia's conversational interface -- in natural language -- as an interactive front-end for users. AI will support this partnership by working together with participating customers to seamlessly integrate Amelia's cognitive AI abilities with their existing TOPdesk deployments. "Amelia is rated as the most intelligent virtual agent by Everest Group and through her unique programming and algorithms, Amelia utilizes each of the human brain s eight core cognitive skills to deliver unparalleled capabilities, surpassing mere chatbots in every way. We look forward to being able to offer Amelia capabilities to TOPdesk users," said Ramon van Leeuwen, CCO at TOPdesk.

As the race to digital accelerates, and as organizations continue to differentiate their products services and interactions, the need for smart and speedy human resources becomes significant. Business complexity has grown from managing simple standard processes and applications to complex, dynamic, and adaptable interactions, processes, and services for better outcomes. AI will make all resources smarter to deal with the increased speed of changes reflected in dynamic goals. This research note reviews five key Cognitive Artificial Intelligence predictions for 2017 and beyond (see Note 1).

Although cognitive AI is not generally viewed as being "scientific" in the same, strong sense as is physics, it shares a number of the properties of the natural sciences, especially biology. Certain of special themes of biology, notably the principles of historicity and of structure-function relations, are applicable in AI research. From a biologist's viewpoint, certain principles of cognitive AI research emerge.

Although cognitive AI is not generally viewed as being "scientific" in the same, strong sense as is physics, it shares a number of the properties of the natural sciences, especially biology. Certain of special themes of biology, notably the principles of historicity and of structure-function relations, are applicable in AI research. From a biologist's viewpoint, certain principles of cognitive AI research emerge.