Harnessing the incredible potential of artificial intelligence (AI) for its invaluable impact on the human race is an incredibly powerful guiding vision. AI is part of everyday life, guiding us today. In this article, I am going to discuss how AI is fundamentally shaping smarter decisions that impact our world. By embracing AI as a national imperative and making AI solutions relevant and accessible to all, we can charge forward and change the way businesses all over the world make their most important decisions. Companies that harnessed the potential of AI were in a position during the pandemic to weather the storm and continue to thrive despite the pandemic's massive impact on consumer behavior.

The use of AI for process optimization in manufacturing is gaining rapid traction. I want to believe that at this point if a company is not leveraging the capabilities tied with AI, it's only because they are at least in the process of exploring it. Here's the thing, Industrial AI, which is defined as the use of advanced analytics applied to data from the production floor, to enhance manufacturing performance, is suitable for many different manufacturing industries. With that in mind, the idea that not all factories are using AI for process optimization at this point is mind-boggling. But I think we are on the right track.

Chances are you already have an established process for identifying attackers and blocking external threats. You've taken steps to reduce the likelihood of an attack by exercising good cyber hygiene and following key identity and access management (IAM) best practices, such as adhering to the principle of least privilege. An insider threat is when an insider's credentials and access are used, either deliberately by malicious actors or indirectly by criminals with stolen or acquired credentials, to illicitly obtain sensitive data from an organization. According to a recent SANS survey, 76 percent of security professionals ranked malicious, accidental or negligent insiders as the most damaging threat vector they face. Insiders all look the same, making them increasingly difficult to detect.

Today, the importance of machine learning and big data to businesses cannot be overemphasized; both are revolutionizing business operations and consistently providing lots of new opportunities. Although machine learning dates back to the 1950's, it's presently more subject to practical, large-scale applications than it has ever been. Big data, on the other hand, became a thing in 2013, after it was discovered that 90 percent of the world's data was produced in the previous two years. The spate of data generation, therefore, became a challenge as well as an opportunity. As an opportunity, big data enables businesses to not grope in the dark but make wise real-time decisions by providing them with insights into various market situations and ensuring a better understanding of consumers' behaviors and preferences.