According to a recent survey by Forrester Research, artificial intelligence predictive analytics is the most popular hot technology, despite its relatively young. For the foreseeable future, Forrester predicts that using AI technology will be a major force in the banking sector. Technology will enhance operating procedures and increase revenue, but it must be applied with the proper restraints.The report also identified other popular technologies for banks, including 5G, microservices architecture, and natural language processing. Although these technologies are still in their infancy, they must overcome several obstacles, including quality assurance procedures, legal restrictions, and a lack of qualified personnel. Careful planning will be necessary to overcome these obstacles and ensure that all data is complete throughout cloud transfers.Customer relationship management is among AI predictive analytics's most frequently used applications. Predictive analytics can help banks better understand their clients and enhance customer service. The technique can also be used to pinpoint the reasons why employees leave their jobs. High performers are retained, as a result, saving them money compared to hiring new employees. They can also find waste in their advertising budgets by using predictive analytics. The findings may enable them to serve clients more efficiently and tailor their offerings.One of the most popular forms of artificial intelligence, machine learning, is another popular technology for banks. It is a potent piece of technology that learns through artificial neural networks. It can enhance forecasting, fraud detection, and process automation. Additionally, it works well with huge data volumes, making it a desirable technique across numerous industries.For many reasons, artificial intelligence predictive analytics is the most highly rated technology in Forrester's survey. The technology is superior to competing technologies in several ways, including effectiveness, cost-saving, and process-improving benefits. Predictive analytics' ability to pinpoint locations with the highest return potential is its main benefit. Banks may be able to avoid staff turnover and develop more individualized applications as a result of making better business decisions.AI predictive analytics also makes it possible for businesses to find people who are similar to one another. The value of this for startups is immense. For instance, Walmart positions its products by the expected chance of purchase and employs predictive analytics to manage its supply chain.Forrester claims that predictive analytics powered by artificial intelligence will assist banks in making wiser business decisions. Additionally, locations with the most revenue potential can be found with technology. Banks can create tailored applications and offer their clients greater service. Additionally, they can employ predictive analytics to pinpoint the causes of staff turnover, which aids in keeping top performers on board.Even though the technology is still in its early phases, some features will soon be accessible to the public. It is also anticipated to become less expensive. Forrester claims that, in contrast to conventional models, which cost thousands of dollars to produce, it will be feasible to develop models for as little as a few hundred dollars.