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Banks Are Confident - and Cautious - About Technology Innovation

Fred Fuller
Endava

Amid economic disruption, fintech competition, and other headwinds in recent years, banks have had to quickly adjust to the demands of the market. This adaptation is often reliant on having the right technology infrastructure in place.

Industry attitudes toward the situation tend to be positive, with 80% of retail banking leaders saying that their technology is ahead of their competitors. However, they still recognize areas where improvements can be made. This finding comes from Endava's new Retail Banking Report, which looks at banks' current and future strategies to meet customer demand and explores their plans to address external factors affecting the industry.

The main takeaway from the report is that retail banks are prioritizing AI, data analytics, payments technology, and core system upgrades to improve the experience of their internal and external systems.

Additional insights from the Retail Banking report include:

Customer centricity: 85% of financial institutions prioritize improving the customer experience, recognizing its importance for acquisition and retention. More than 70% are doing this by increasing digital capabilities and payment offerings.

AI investment: 50% of banks are investing in AI within the next year, making it the top category of those evaluated. The financial sector is excited about the potential of AI to create new efficiencies across internal infrastructure and customer-facing products, with applications such as fraud detection, customer service, data analysis, and investment management.

Data analytics: Close behind AI, banks are focused on data analytics, with 45% of respondents indicating they are investing in this area. Leaders continue to see the value of data to improve customer service, strengthen security and risk management, personalize products, and attract new customers.

Payments upgrades: Upgrading payment gateways and adopting new payment rails are top priorities, with over 75% of organizations ranking them as high-priority initiatives. Upgraded payments technology allows banks to offer customers instant money transfers and timely bill payments, which fosters loyalty and reduces attrition. Additionally, it gives them the ability to increase revenue from current payment volumes.

Core modernization: To accommodate these technology priorities, banks are focusing on updating their core banking system. 75% of those surveyed feel they need to modernize their cores, with large numbers embracing cloud-based solutions. The core system is the backbone of a financial institution, impacting everything from application performance management to in-person customer experience. The benefits of a modern core often include lower operating costs, wider range of products, increased efficiency, enhanced security, and improved retention.

Financial institutions currently operate in a demanding and volatile marketplace requiring them to adapt quickly to shifts in consumer preference and external pressures. It's clear from the report findings that banks of the future will capture sustainable market share by focusing on customer preferences and ensuring alignment between their back-end systems and front-end, client-facing operations.

To ensure they are keeping up with the changing market demands, leaders can leverage technology to quickly roll out new offerings like AI assistants and real-time payments. When a bank creates a better user experience, they're encouraging customers to take advantage of more of their products, creating a more profitable and loyal customer base. The organizations that will succeed are those who can use technology to meet these rapidly evolving consumer demands, while demonstrating ongoing resilience and adaptability.

Fred Fuller is EVP, Global Head of Banking and Capital Markets, at Endava

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Banks Are Confident - and Cautious - About Technology Innovation

Fred Fuller
Endava

Amid economic disruption, fintech competition, and other headwinds in recent years, banks have had to quickly adjust to the demands of the market. This adaptation is often reliant on having the right technology infrastructure in place.

Industry attitudes toward the situation tend to be positive, with 80% of retail banking leaders saying that their technology is ahead of their competitors. However, they still recognize areas where improvements can be made. This finding comes from Endava's new Retail Banking Report, which looks at banks' current and future strategies to meet customer demand and explores their plans to address external factors affecting the industry.

The main takeaway from the report is that retail banks are prioritizing AI, data analytics, payments technology, and core system upgrades to improve the experience of their internal and external systems.

Additional insights from the Retail Banking report include:

Customer centricity: 85% of financial institutions prioritize improving the customer experience, recognizing its importance for acquisition and retention. More than 70% are doing this by increasing digital capabilities and payment offerings.

AI investment: 50% of banks are investing in AI within the next year, making it the top category of those evaluated. The financial sector is excited about the potential of AI to create new efficiencies across internal infrastructure and customer-facing products, with applications such as fraud detection, customer service, data analysis, and investment management.

Data analytics: Close behind AI, banks are focused on data analytics, with 45% of respondents indicating they are investing in this area. Leaders continue to see the value of data to improve customer service, strengthen security and risk management, personalize products, and attract new customers.

Payments upgrades: Upgrading payment gateways and adopting new payment rails are top priorities, with over 75% of organizations ranking them as high-priority initiatives. Upgraded payments technology allows banks to offer customers instant money transfers and timely bill payments, which fosters loyalty and reduces attrition. Additionally, it gives them the ability to increase revenue from current payment volumes.

Core modernization: To accommodate these technology priorities, banks are focusing on updating their core banking system. 75% of those surveyed feel they need to modernize their cores, with large numbers embracing cloud-based solutions. The core system is the backbone of a financial institution, impacting everything from application performance management to in-person customer experience. The benefits of a modern core often include lower operating costs, wider range of products, increased efficiency, enhanced security, and improved retention.

Financial institutions currently operate in a demanding and volatile marketplace requiring them to adapt quickly to shifts in consumer preference and external pressures. It's clear from the report findings that banks of the future will capture sustainable market share by focusing on customer preferences and ensuring alignment between their back-end systems and front-end, client-facing operations.

To ensure they are keeping up with the changing market demands, leaders can leverage technology to quickly roll out new offerings like AI assistants and real-time payments. When a bank creates a better user experience, they're encouraging customers to take advantage of more of their products, creating a more profitable and loyal customer base. The organizations that will succeed are those who can use technology to meet these rapidly evolving consumer demands, while demonstrating ongoing resilience and adaptability.

Fred Fuller is EVP, Global Head of Banking and Capital Markets, at Endava

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I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...