Technology has dramatically changed how the financial services industry operates. This has been consistent over many decades; however, recently the pace of change has become exceptionally fast. The fintech market has deployed these technologies to disrupt the broader industry by enhancing the customer experience and changing the traditional customer acquisition model. The next evolution of fintech will focus on the back end and middleware software that powers the financial services industries. What few market participants realize is the shiny front-end customer experience of these new fintechs and neobanks are still often powered by traditional banking systems.

The implementation of machine vision in finance is proving to be beneficial not only to businesses but also to consumers in general. Although it seemed far-fetched five years ago, financial institutions have been using advanced technologies in their operations. These technologies enable organizations to improve the customer experience and lighten employees' workloads. The global machine vision market is expected to grow at a CAGR of 7.7% to reach USD 18.24 billion by 2025. There, however, remains a certain level of skepticism amongst the institutes and consumers in the adoption of machine vision in the finance sector. Machine learning is slowly but surely making inroads in the finance sector with major banks already leveraging its ease-of-use mechanism.

The implementation of machine vision in finance is proving to be beneficial not only to businesses but also to consumers in general. Although it seemed far-fetched five years ago, financial institutions have been using advanced technologies in their operations. These technologies enable organizations to improve the customer experience and lighten employees' workloads. The global machine vision market is expected to grow at a CAGR of 7.7% to reach USD 18.24 billion by 2025. There, however, remains a certain level of skepticism amongst the institutes and consumers in the adoption of machine vision in the finance sector.

Machine learning is slowly but surely making inroads in the finance sector with major banks already leveraging its ease-of-use mechanism.

As artificial intelligence, innovation and digitalization continue to grab headlines, the one thing that sparks deep discussions is the subject of disruption. An ongoing theme that continues to affect individuals, industries and governments globally, disruption isn't solely a shift in economics, products or market trends (though it continues to be a key influencer), but it also has consequences for the new age customer, shaped by very different needs, behaviors and demands. So how does technology evolve financial services? What types of disruptions will emerge to reshape the entire industry? What does the future of financial services look like?