The banking sector has always been data intensive. Today, AI technology has the capability to improve efficiency, increase innovation, boost differentiation, manage risk and regulatory needs, and positively impact the customer experience. While more than 80% of financial services AI adopters say that AI will be very or critically important to their business's success in the next two years, it's time for banks to move beyond the hype and consider practical applications of AI across the entire organization. On today's Banking Transformed podcast, we have Imtiaz Adam, global AI influencer and founder of Deep Learn Strategies Ltd. He will share why financial institutions must make adoption of AI technologies across the entire enterprise a strategic imperative.

AI brings the potential for disruption and transformation due to its ability to make decisions and take action much quicker than its human counterparts. It has been seen as a means of increasing productivity within a company and improving revenues through better customer engagements. But the use of AI is not without pitfalls, risks and detractors. Will AI used for good or just corporate greed? How should the use of AI be regulated?

AI brings the potential for disruption and transformation due to its ability to make decisions and take action much quicker than its human counterparts. It has been seen as a means of increasing productivity within a company and improving revenues through better customer engagements. But the use of AI is not without pitfalls, risks and detractors. Will AI used for good or just corporate greed? How should the use of AI be regulated?

Around the world, from the most established entities with billions behind them down to dorm-room entrepreneurs on a shoestring, there are forces at work trying to disrupt banking, advisory and asset management. Reinventing how money is saved, borrowed, safeguarded and invested has been a draw for visionaries hell-bent on figuring out with certainty how money is made. The wealth management breakthroughs owing to the toil of the disrupter crowd over the past few years -- coupled with rapidly escalating artificial intelligence (AI) achievements at large that can be built upon -- will in the next decade bring dynamic changes to the industry. So that no one ever has to say "wow, didn't see that coming," let's engage in some logical speculation to assess what the 2020s might bring: Even as the largest players (banks and wirehouses) are building programs to deliver premium personal touch services, the new breed of younger clients are going to demand all sorts of tools and features, free, easy and on their phones. The best business models of the future will combine humans and machines, but along the way, do expect new applications to redefine what is possible for self-directed individual investors to be able to accomplish.