An executive’s guide to AI
Staying ahead in the accelerating artificial intelligence race requires executives to make nimble, informed decisions about where and how to employ AI in their business. One way to prepare to act quickly: know the AI essentials presented in this guide.
Read full article on McKinsey&Company:
AI is typically defined as the ability of a machine to perform cognitive functions we associate with human minds, such as perceiving, reasoning, learning, interacting with the environment, problem solving, and even exercising creativity. Examples of technologies that enable AI to solve business problems are robotics and autonomous vehicles, computer vision, language, virtual agents, and machine learning.
Most recent advances in AI have been achieved by applying machine learning to very large data sets. Machine-learning algorithms detect patterns and learn how to make predictions and recommendations by processing data and experiences, rather than by receiving explicit programming instruction. The algorithms also adapt in response to new data and experiences to improve efficacy over time.
Deep learning is a type of machine learning that can process a wider range of data resources, requires less data preprocessing by humans, and can often produce more accurate results than traditional machine-learning approaches (although it requires a larger amount of data to do so). In deep learning, interconnected layers of software based calculators known as “neurons” form a neural network. The network can ingest vast amounts of input data and process them through multiple layers that learn increasingly complex features of the data at each layer. The network can then make a determination about the data, learn if its determination is correct, and use what it has learned to make determinations about new data. For example, once it learns what an object looks like, it can recognize the object in a new image.
BLOCKCHAIN HOLDS GREAT potential for improving payment systems, but for the moment that potential remains largely unrealised.read more
Algorithms automating repetitive legal tasks will allow lawyers to focus on pertinent legal issues while expanding their work portfolios.read more
From improving health care processes to predicting when you might need to go into the hospital, AI is improving many aspects of the way we obtain and pay for medical care. Most patients aren’t aware – yet – of what goes on to make AI a reality in health care.read more
An analysis of more than 400 use cases across 19 industries and nine business functions highlights the broad use and significant economic potential of advanced AI techniques.read more
Did the chicken you just buy at the supermarket have a nice life, roam free, and eat healthy grains? If you’re the kind of person who cares, Carrefour SA, the big France-based grocery chain, has the bird for you.read more
Steven Spielberg’s new film “Ready Player One” imagines a future where people live much of their lives in virtual reality. Do science fiction’s predictions of the future ever come true?read more
Perfection is achieved, not when there is nothing more to add, but when there is nothing left to take away.
Antoine de Saint-Exupery