At the Crossroads: Navigating the Shift to Ai and Cloud in Banking | NTT DATA

Thu, 21 March 2024

At the Crossroads: Navigating the Shift to AI and Cloud in Banking

NTT DATA’s Global Research Reveals Generative AI could be the Catalyst to Significant Change.

As the world accelerates toward a digital-first approach, the banking industry finds itself at a defining moment. NTT DATA’s global research, "The Digital Horizon: Banking’s Shift from Mainframe to AI-Driven Cloud Infrastructure," finds a sector ready for innovation, ready for change, but still holding on to its legacy technology. For true transformation, there is a clear need – and desire - to move towards agile, innovative change powered by AI and cloud technologies.

The Paradox of progress against mainframe’s continued persistence?

Underpinning the banking digital landscape lies a contradiction. Despite nearly 90% of banking decision-makers identifying their organizations as AI and cloud trailblazers, a significant 63% remain anchored to legacy mainframe systems. 20% have not even started their transformations.  

The mainframe’s resilience within the banking sector underscores the cautious approach to legacy transformation, a reflection of the mainframe’s time-tested reliability and security, and the challenges of migrating well-established software stacks that predate modern cloud approaches.

The tipping point of innovation

Nonetheless, the scales seem to be tipping. Our research highlighted the swift uptake of Generative AI and the interest it is receiving at the executive level. A striking 91 percent of banking executives surveyed acknowledged that the momentum for Generative AI and Cloud adoption is backed by their boards. 
Additionally, 87 percent reported escalating demands from their boards and senior management to adopt novel AI technologies. This underscores the priorities and drive of those making strategic decisions in the banking industry.

The desire is driven by multiple headwinds

In today's fast-evolving banking landscape, decision-makers are constantly seeking ways to innovate, meet consumer and client demands, and maintain a competitive edge. The board and leadership teams understand that integrating AI and cloud technologies can be pivotal in driving efficiency, improving customer experience, and unlocking new revenue streams. Their deep interest and push for AI underscore their commitment to modernizing banking practices, optimizing operations, and future-proofing their institutions.

David Muñoz, Executive VP Technology and Operations at Banco Pichincha in Ecuador, explains how his bank is overcoming these hurdles: 

At Banco Pichincha we are taking IT modernization very seriously. Within the recent years we have increased the speed of our transformation launching different programs such as the stabilization of legacy platforms, modernization and strong promotion of our digital channels, launch of Data Fabric platforms and multi-core architecture or full renewal of our customer service processes. All these programs are helping the bank continue to be a leader in the region.

David Muñoz Executive VP Technology and Operations at Banco Pichincha in Ecuador

The banking sector is being boldly redefined by the dual forces of Artificial Intelligence and cloud computing. As we discussed in our last blog in this series focused on our global research "The Digital Horizon: Banking’s Shift from Mainframe to AI-Driven Cloud Infrastructure," these technologies have ascended to the top of the boardroom agenda. 

As industry leaders navigate a digital-first economy, they face the complex challenge of fostering a culture that not only embraces innovation but is agile enough to meet the rapidly changing demands of consumers and clients.

The Innovation Imperative

Banking's modernization and transformation initiatives has become strategic imperative. The resilience and security of mainframe systems have long been the industry's backbone. Migration has been complex and there are barriers. Yet the demand for agility and innovation is steering banks towards cloud and AI solutions. These technologies are rapidly transitioning from optional to essential, reshaping the status quo and the competitive landscape.

 NTT DATA’s research identified four specific groups of challenges when it comes to transitioning from mainframe to the cloud.

  1. Security & Compliance Concerns: The banking world, known for its emphasis on security and stringent regulatory standards, continues to express reservations about cloud technologies. Though cloud solutions have advanced significantly, the shadows of data integrity and regulatory compliance issues linger. In a sector where safeguarding customer data and facilitating vast monetary transactions are daily operations, such concerns are magnified.

  2. Technical Barriers: Migrating from tried-and-tested mainframes to unfamiliar cloud territories is not just about adopting a new technology. The sector faces a real challenge in finding expertise, particularly when it comes to cloud security.

  3. Recreating Functions & Services: Translating functionalities from mainframes to the cloud is a nuanced task. Each service or function on the mainframe has its intricacies, and ensuring they work seamlessly on the cloud requires both time and specialized skills.

  4. Transitioning with Precision: Migration is more than just a move; it's a transformation. Ensuring that this shift happens without downtimes, loss of data, or glitches necessitates a well-thought-out strategy
 
Cloud Computing: The Innovation Enabler

Technology’s role, once seen as a cost centre, is being redefined. The cloud has emerged as a cornerstone and enabler of innovation, offering benefits far beyond traditional IT’s remit. Improved security protocols, operational efficiency, enhanced customer experiences, and collaborative data management are just the beginning. As 88% of banking professionals agree, the cloud is the key to unlocking personalized customer services and ensuring swift operational responses.

The Cloud and Generative AI: A powerful duo of change

Generative AI has become an executive priority, demonstrating the potential to redefine banking models and make change that lasts forever. It’s a once in a lifetime technology that will reframe how banks operate. From revolutionizing customer service, to enhance efficiency, and sharpening strategic decision-making. Change is the status quo and there’s optimism among banking leaders, with a majority viewing Generative AI as a critical enabler of modernization through cloud migration and an accelerator of digital transformation.

The Strategic Balancing Act

Banks walk a tightrope. They must retain the robustness of mainframe systems while also transitioning to the innovative potential of cloud and AI. It's a shift that requires a strategic and well-managed approach, ensuring that the security and functionality that mainframes have long provided are not lost in the transition.

This shift is transformation that touches every facet of the banking institution, demanding a change in culture, processes, and skills. Banks are at a critical juncture, where they must navigate their modernization with precision and foresight. It's essential that this journey reinforces the bedrock principles of banking—security, dependability, and the trust of customers. Trust is hard won and easily lost. 

However, by leaning into AI and cloud technologies, banks have the opportunity to not only safeguard but also strengthen these core values. 

Facing the Strategy Gap

Despite widespread recognition of these technologies' importance, a significant 80% of organizations admit to lacking a clear strategy for AI implementation. This gap presents an urgent call to action for decision-makers to devise robust strategies that can harness the transformative power of AI and cloud technologies.

Conclusion

"Banking in the Cloud: Navigating the Digital Transformation” is a must-read for banking decision makers, wherever you are on the journey. You’ll learn how your peers are addressing this vast challenge and opportunity. As 91% of decision-makers rally behind AI and cloud initiatives, the path forward is clear. Modernization, transformation and Innovation with AI and Cloud will boldly redefine banking’s future. 

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