Image by cromaconceptovisual from Pixabay Coronavirus has succeeded in exposing inadequacies and shortcomings in our daily lives. As a result of the inadequacies, billions of people worldwide were under lockdown, thousands have died, and more are still dying. Governments, businesses, and individuals have been thrown into confusion, facing an uncertain economic future. The world, whether developing or developed, was completely unprepared for COVID-19 despite our technological advancements in the areas of AI and machine learning, hence, we are suffering the consequences direly. The coronavirus pandemic also exposed our ill-preparedness in how we have been handling our supply chains as well as security and privacy. A rundown of the following three very important sectors will bring to light where we failed and also a pointer as to what needs to be done since this may not be the last time we will be facing viral diseases. Technological advancement BlueDot, an artificial intelligence company, was able to notice that something ominous was in the offing and, therefore, went ahead to alert the world of a cluster of “unusual pneumonia” cases occurring around a market in Wuhan, China, about the midnight of December 30, 2019. The company likened the symptoms to those of the SARS, an…
Tag: supply chain
AI Integration, Amazingly the Best For Your Supply Chain
Image by Tumisu from Pixabay Have you ever given a thought to applying machine learning and other types of AI to the terabytes of transactional and sensor data being collected from the supply chain? The time is here and the amazing result you get will definitely be a much more autonomous and effective form of supply chain analytics, supply chain management, and, ultimately, an overwhelming as well as highly responsive supply chain. David Simchi-Levi, a professor of engineering systems at MIT says, “In fact, there is a lot of interest in using AI and machine learning to enhance supply chain analytics.” Where your concentration should be in the supply chain is the opportunity to be able to integrate predictive and prescriptive analytics, which in essence, translates to blending AI and optimizing technologies. The competition in the global market has become very stiff and you need to take every worthwhile opportunity that comes your way in order to continue to be relevant. The two areas you can efficiently apply AI in your supply chain are, to enable predictive analytics to understand behaviors and for prescriptive analytics, thereby, allowing optimization technologies to take input from machine learning and try to help your brand to make…