Decisions will be made by artificial intelligence in the Information Generation Tweet this
Easier access to advanced, cloud-based analytical tools will transform decision making by turning data into useful insights.
Linked data, machine intelligence, predictive analytics, autonomous algorithms, and computational and virtual simulations will enhance the relevance and meaning from the massive amounts of data generated in today’s digital transformation. Additionally, new interfaces that can understand spoken and programing languages will support an increased role of smart automation in all kinds of work.
Artificial Intelligence (AI) Resource Deployment
Hong Kong has one of the world’s best subway systems. When maintenance or engineering work is needed, an AI program runs a simulated model of the entire system to find the best schedule to do the work. An algorithm that can see in a way no human can identifies the opportunity to combine and share resources and manages each task.
The AI overseer incorporates knowledge gathered from human engineering and maintenance experts into its algorithm to help inform recommendations.
Deep Learning Software
MetaMind uses deep learning, a type of AI, to train systems on volumes of information derived from images, audio, unstructured text and other data, and then extract inferences about it in response to new information. The company’s technology enables powerful text classification, Twitter sentiment analysis, summarization of data, question answering, and custom tasks such as identifying images based on their composition.
The software can also be used to extract signals hidden in financial reports or analyze chat messages from people seeking customer support from a company.
Augmented decision making support is set to be incorporated into many forms of knowledge work in the near future. A 2013 Oxford University report concluded that 45% of American jobs are at high risk of being taken over by computers within the next two decades.
Expect knowledge work to be transformed in the coming decade by the emergence of even more robust and accessible augmented decision making tools.
Without social and education policy interventions, the next wave of technological innovation may lead to higher unemployment and rising inequality. In many domains, analytics tools have the potential to not only augment human decision making but replace it altogether. This may eventually lead to mass displacement of white-collar jobs, creating new economic, policy and social challenges.
Success will lie in the correct blend of human and machine augmented decision making capabilities. As we increasingly come to rely on these decision making technologies, it will be important to frequently re-examine how algorithmic biases and assumptions impact decisions.
Business leaders will need to operate with full transparency, sharing with their employees and perhaps even the public the assumptions built into the algorithms they are using to make strategic decisions.
Your data will be bought and sold on an open economyLearn more »
Information will become a sensory experience.Learn more »
Environments will become more aware, connected and responsiveLearn more »
New tools will put privacy controls into consumers' hands.Learn more »