Artificial intelligence driven resiliency with machine learning and deep learning components

Abstract

Data streams in at an unprecedented speed and must be dealt with in a timely manner. RFID tags, sensors, and smart metering are driving the need to deal with torrents of data in near-real-time. Variety:Data comes in all types of formatsfrom structured, numeric data in traditional databases to unstructured text documents, email, video, audio, stock ticker data, and financial transactions.

Deep Learning Limitations and Flaws

“…"For a child to learn to recognize a cow," says Hinton, "it's not like their mother needs to say 'cow' 10,000 times" -a number that's often required for deep-learning systems. Humans generally learn new concepts from just one or two examples [4]. Then there's the opacity problem.…”

“…Deep-learning systems may be wizards at recognizing patterns in the pixels, but they can't understand what the patterns mean, much less reason about them. "It's not clear to me that current systems would be able to see that sofas and chairs are for sitting," says Greg Wayne, an AI researcher at DeepMind, a London-based subsidiary of Google's parent company, Alphabet [4]. Increasingly, such frailties are raising concerns about AI among the wider public, as well -especially as driverless cars, which use similar deep-learning techniques to navigate, get involved in well-publicized mishaps and fatalities.…”

“…"So, I have a hard time imagining that deep learning will go away at this point," Cox says. "It is much more likely that we will modify it or augment it" [4]. Deep Learning cannot explain how the systems got an answer.…”

From Business Intelligence to Artificial Intelligence

“…Yet, the numbers tell only part of the story. Artificial Intelligence (AI) is a new factor of production and has the potential to introduce new sources of growth, changing how work is done and reinforcing the role of people to drive growth in business [5].…”

“…AI provides data points exactly where and when they are needed most with very little work required by the user, given its sub-function of Deep Learning (DL), where it passes the right information to Artificial Intelligence (AI) via Machine Learning (ML) by comparing historical data with incoming present data and learn from such comparison to be able to forecast the future events. Such capabilities will make the enterprise to be as resilience as possible, using techniques such as Business Resilience System (BRS) [5][6][7]. AI capabilities and functionalities bridges the gap for business users who do not have deep technical knowledge, yet they are end users and operators of organizations and enterprises.…”