Is Now the Right Time for Intelligence Augmentation (IA) in your Data Center?

At the center of your business is a non-stop, highly complex machine, managed by a team of trained IT resources who require accurate, remotely accessible, and intuitive information to prevent costly data outages, and data center disasters from happening. But low unemployment rates and increasing salaries strain many departmental resource budgets, which only increases the risk of a data center outage. The key to prevent outages and disasters from occurring is to either replace humans with artificially intelligent (AI) machines, or to greatly increase an employees efficiency by designing machine algorithms that can learn from, and make predictions on sensory data, thus augmenting their ability to intelligently predict problems, and proactively prevent a disaster.

Join me as I describe the difference between AI and IA, with the objective of teaching how advances in machine learning and neural networks is currently being used to augment human intelligence when making critical decisions in areas such as fire safety, environmental sensing, and physical security to predict problems. During the presentation, two case studies will be discussed describing how IA has effectively been used to help employees form intelligent decisions and proactively prevent problems.

With the significant advances in machine learning, engineers now realize it is more efficient to develop algorithms to help humans make critical decisions than teaching machines to do everything.

Can't make the show? Be sure to reach out to me after March 12th and I will be happy to send you the complete white paper and presentation!