Reposted from Wired Innovation Insights:
Wearables and the Internet of Things (IoT) may give the impression that it’s all about the sensors, hardware, communication middleware, network and data but the real value (and company valuation) is in insights. In this article, we explore artificial intelligence (AI) and machine learning that are becoming indispensable tools for insights, views on AI, and a practical playbook on how to make AI part of your organization’s core, defensible strategy.
AGI or strong AI is defined as the intelligence of a machine that could successfully perform any intellectual task that a human being can. For practical wearables and IoT implementations, we are working with weak AI, which studies a specific problem solving or reasoning tasks and does not attempt to simulate the full range of human cognitive abilities. There are AI applications that exhibit capabilities such as visual perception, speech recognition, and decision-making, but none at human levels. The chasm from stitching subsystems, bottom-up to fully intelligent machines is galaxies wide.
From Apple’s Siri, Google Voice Search, Google Brain, Google Translate, Xbox, Netflix, IBM’s Watson, autonomous cars, email spam filtering to credit card fraud detection, AI has already infiltrated into nearly aspect of our daily lives… and our dependence on it is only growing. So how can AI and machine learning be applied to wearables and the Internet of Things? Let’s walk through a few examples…