The aim of Artificial Intelligence is to build a machine that will think and react like we human, and this has been accomplished over the decades and a lot of predictive models is coming in the nearest future.
Machine learning is a subset of Artificial Intelligence that enables a system to learn from data rather than through explicit programming. However, it is not a simple process.
Machine learning has become one of the most important topics within development organizations that are looking for innovative
ways to leverage data assets to help the business gain a new level of understanding.
Why add machine learning into their mix?
Adoption of appropriate machine learning model enables organizations to have
the ability to continually predict changes in the business ( like the chatbot, it is trained with huge data of different old chat to response and chat like we human. we have been to some sites that request for feedbacks like YouTube)
they are best able to predict what’s next.
As data is constantly added, the machine learning models ensure that the solution is
constantly updated. The value is straightforward: If you use the
most appropriate and constantly changing data sources in the
context of machine learning, you have the opportunity to predict the future.
Machine learning, Artificial Intelligence (AI), and cognitive
computing are dominating conversations about how emerging advanced analytics can provide businesses
with a competitive advantage to the business. There is no debate
that existing business leaders are facing new and unanticipated
competitors. These businesses are looking at new strategies that
can prepare them for the future.
While a business can try different
strategies, they all come back to a fundamental truth you have to follow the data.
Over the decades, AI techniques have been widely used as a method of improving the performance of underlying code.
In the last few years with the focus on distributes computing models
and cheaper compute and storage, there has been a surge of interest in AI and machine learning that has to lead to a huge amount of
money being invested in startup software companies. Today, we are seeing major advancement and commercial solutions.
AI practitioner, Entrepreneur, Karateka