AI & Machine Learning enhances Next-Gen enterprises

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In this current generation, Artificial Intelligence (AI) and its sub-component Machine Learning (ML) play an important role which has a little requirement of human intelligence. The field of AI research has been started a long year ago at a workshop held on the campus of Dartmouth College.

From this study, ML is developed which provides the system the ability to automatically learn it and also helps them to improve from the past experience without any requirement of an explicit program. It is all about identifying the patterns which are there in the data and automatically discrete the data from the fraudulent transactions to chatbots from answering customer’s questions.

Based on the findings of CIO Tech Poll of IT leaders in the month of February says that AI/ML was to considered one of the most important technology around the world according to the 62% of respondents and in that nearly 18% are already been implemented as their solutions in production. Inspire of this CIO has conducted the survey by considering this pandemic how the use of AI/ML will reduce the human capital cost.

Since due to this pandemic most of the workers are hesitant to work together due to that many industries are facing the problem of production but this pandemic taught the industry to start implementing the AI/ML which doesn’t have any impact even the pandemic remains there. Still, the production of the organization will go smoothly.

Though the AI/ML will most likely in the coming year going to replace human jobs. As Matthew Finnegan’s Computer world article, “AI at work: Your next co-worker could be an algorithm,” which says that when AI and people collectively work together it gives better results of it.

The best example is “cobots,” which is operating along with co-workers on the shop floor to increase human capability. Thus, the ML also used in the healthcare department for the treatment of the people, intensive data analysis of the products, and also image analysis is also done for improving the crop yields. This also helps to increase the data security and without any human intervention the data breach also not possible and we also get the analysis very accurate by the use of AI/ML. By using this in a large organization it might be risky for a single executive to manage all AI-related issues.

For developing or building your AI/ML solution we must require a cloud platform that provides us the attractive options and that to be selected carefully. With respect to this Martin Heller describes that “How to choose a cloud machine learning platform”, in this she describes the 12 capabilities for every machine learning platform that should have to consider and followed. Therefore the AI/ML in the future will replace humans in each and every sector and there will be a great boost in the sector of AI/ML.