I'm sure the parents amongst us are familiar with the dilemma of handing your kid an iPad to watch YouTube and get a few minutes of rest, knowing it might not be the best pedagogical experience (even if we won't admit it publicly). To put this in a more serious manner, a study by Prof. Horowitz-Kraus seeks to examine the cognitive impact of this dilemma. An experiment was conducted in a number of kindergartens to determine whether a child's cognitive development is affected when a person reads him a story as opposed to when he watches the same story on a tablet. I would recommend reading the full articles, but in brief, unsurprisingly the child shows more cognitive improvement in his social and language skills when there is a social interaction compared to the interaction with the tablet. While most of these situations don't necessarily come from laziness, sometimes there are situations where we are just not able to have one-on-one experiences with the children, for instance in hospitals.

Hardly an industry today can escape disruption. New technologies and business models compel CTOs and IT leaders to seek innovative ways to stay ahead of the digital transformation curve. But they face challenges understanding the role and impact of cognitive technologies such as artificial intelligence (AI) and machine learning when integrating them into their existing infrastructure. An increasing number of those infrastructures include mainframe systems, and enterprises are looking to leverage the compute power and secure data protection mainframes offer for running cognitive applications. Cognitive technologies applied to transactional data are pivotal in capturing keen insights, building client relevancy, implementing cost-effective business models and more.

Hardly an industry today can escape disruption. New technologies and business models compel CTOs and IT leaders to seek innovative ways to stay ahead of the digital transformation curve. But they face challenges understanding the role and impact of cognitive technologies such as artificial intelligence (AI) and machine learning when integrating them into their existing infrastructure. An increasing number of those infrastructures include mainframe systems, and enterprises are looking to leverage the compute power and secure data protection mainframes offer for running cognitive applications. Cognitive technologies applied to transactional data are pivotal in capturing keen insights, building client relevancy, implementing cost-effective business models and more.