Robo-Advisors are among the first people to experience changes as a result of Artificial Intelligence (AI). Over the last two decades, there have been numerous changes which have ended up affecting Financial Companies. The changes include how the firms conduct business and maintain their relationship with clients. As such, we should adapt to changes and embrace it. We prospect that in the near future, changes will continue to take place but there will be machines to control nearly everything. We must admit that nowadays most things are automated.

Therefore, the best we can do is to embrace changes and learn to apply Al in solving issues. For instance, when we do not do business without relying on Al, we can either incur losses or make profits. So, customers or clients will make profits, while the financial companies or advisors will make losses.

The whole idea revolves around the way we embrace and respond to changes; if we embrace and respond to change appropriately, we will make profits, but if we fail to embrace changes and respond to them, we will make losses. As a matter of fact, learning abilities of machines is increasing enormously with the application of Big Data, Natural languages, as well as machine learning.

We all know that Big Data improves the client's experience but we have never learned they are applicable in nature. Usually, machines learn about user's needs and respond to them through algorithms. In most cases, the user's needs are determined before they are responded to.

In this case, Big Data has been analyzed to produce information before its processed for further actions. Therefore, computers can react to a situation after recognizing a human. Machines will make use of algorithms to learn and respond to situations while some will be automated.

According to the recent surveys by Price water house Cooper, twenty-six percent of assets and wealth management companies rely on Artificial Intelligence to make suitable verdicts as a result of changes.

For instance, people nowadays use money in other areas to target the mass affluent. A good example is the processing of companies to abide by rules as well as regulations since machines will be adapted to the changes desired by the users.

Advisors and Customers will also benefit from the improved experience in the new look, that will be leaving the advisors with concentration to focus on collecting and monitoring the portfolio.

They will also be responsive to customer's needs as well as increasing the added value of the rendered services. AI in the Field of RoboAdvice, our Research and Development team are working on two scenario that involves either machine learning or the use of Big Data.

Many people perceive Artificial Intelligence as the key element in the financial sector, currently, we are working on the Chatbot that responds to questions after processing, defining, undergoing tutorials, before responding to client's complaints. We are also coming up with an approach to invest in techniques through pre-determined models developing algorithms by making use of machine learning for data analysis. Machine learning will permit humans and computers to work together to improve productivity.