Four essential tech trends for the banking industry | Deloitte Netherlands (2024)

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While banks are grappling with legacy systems and regulatory pressure, lean and agile fintech start-ups are honing in on their customers. How can banks introduce futureproof technologies and processes to keep up with their competitors? The series ‘Technology trends for banks’ explores four technology trends that are essential for banks to thrive in a digital society.

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  • Incumbents vs. disruptors
  • Four essential tech trends
  • The way forward

Incumbents vs. disruptors

For decades, banks were frontrunners in automation. But now, large parts of their once cutting-edge technologies have turned into legacy systems that hinder innovation. “New players in the financial services industry, such as Adyen and Revolut, enter the market without the burden of outdated technologies,” explains René Theunissen, partner at Deloitte Consulting and focuses on enterprise technology for banking. “Traditional banks are struggling to keep up with start-ups that optimally profit from new data-driven technologies such as cloud, artificial intelligence (AI) and Machine Learning (ML), as well as lean and agile processes such as DevOps.”

A lot of banks try to copy the way fintech start-ups work. Yet this should not be the only focus of their innovation efforts, says Timo Span, partner at Deloitte Consulting, who specialises in IT banking. “You can’t ignore the core. You need to find a balance in revitalising core enterprise technologies that often work with legacy systems, and introducing new data-driven technologies, processes and products.” Whereas disruptors can operate quickly and flexibly, Span emphasises that incumbents have the advantage of scale, experience and loads of (historic) data that can provide a deep understanding of their clients and their needs.

Four essential tech trends for the banking industry

Four essential tech trends

So, how can banks find this balance in revitalising their core systems and creating new products and services to become truly data-driven? In short, how can banks thrive in a digital society? Deloitte’s annual Tech Trends report explores the landscape of emerging technologies and seeks to understand their impact on business strategy. Four of these technology trends are essential for the banking industry. This article briefly introduces these trends, while subsequent articles in this series will provide more in-depth explorations of each one.

1.Core revival

Modernising legacy enterprise systems and (partly) migrating them to the cloud is crucial to unleash a bank’s digital potential. As Span states: “You can’t ignore the core.” A lot of banks have focused on new initiatives outside their core systems, but this is not a viable strategy for the long run, says Span. “At some point, you need to reconnect these initiatives to your core systems,” he explains. “Moreover, you need to maintain your core systems and develop innovative approaches for extracting more value from legacy core assets.” Revitalising core systems is a massive task, but the good news is that tools to support this process have become more easily available, user-friendly and cost-efficient in the past few years.

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Corerevival

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2.MLOps: industrialised AI

Banks have been relying on data-analytics for a long time, but with ML technologies they can radically step up their game. ML models enable a shift towards near-real time processing of data, that can help organisations efficiently discover patterns, reveal anomalies, generate insights, make predictions and move towards automated decision-making. If you aim to make ML a key driver of the company’s performance, you need to alter your operations as well. This can be done with MLOps: the application of DevOps tools and approaches to industrialise and scale ML. “Several banks have already developed promising proof-of-concepts of MLOps,” says Theunissen. “In the next few years, we expect MLOps to become a standard practice and an important driver for change in the banking industry.”

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MLOps: industrialised AI

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3.Machine data revolution: feeding the machine

Legacy data systems are typically siloed and designed to support human decision-making. With the rise of new data-driven technologies such as cloud, AI and ML, organisations are working on a future in which data is easily available across all divisions. “Several banks are taking steps to disrupt the data management value chain from end to end,” says Theunissen. “They are using new data capture and distributed data architecture capabilities, advanced analytics and next-generation cloud-based data stores. In the end, this will enable them to connect the dots and make real-time, at-scale, automated decisions which will radically speed up their primary processes.”

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Machine data revolution: feeding the machine

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4.Zero trust: never trust, always verify

The last essential technology trend for banks is related to cybersecurity. “Cyberattacks are becoming both more frequent and more sophisticated,” says Span. “This requires banks to beef up their security measures.” The concept of ‘zero trust’ assumes that no user, workload, device or network can be inherently trusted. Every access request should be validated on all available data points, including user identity, device, location and other variables. A zero-trust architecture should be part of every modern enterprise environment, says Span. “For banks in particular, their customers’ trust is the most valuable asset,” he explains. “This trust can only be effectively safeguarded with a zero-trust security approach.”

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Zero trust: never trust, always verify

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The way forward

These four technology trends are crucial for banks to move forward in the digital age. But in Span’s opinion, implementing them requires significant effort on the level of technology, process and organisation. “Banks are huge, complex organisations that play an essential role in our society,” he explains. “They have to deal with legacy systems and they operate in a tightly regulated environment. Reviving your core systems, introducing AI- and ML-driven technologies and processes, and implementing an up-to-date, zero-trust cybersecurity architecture all entail profound transformations that will take multiple years to complete.”

It requires courage to adapt and thrive in a digital age. “It’s not an easy task,” emphasises Theunissen. “Of course, all these transformations need to be carefully introduced, assessed and re-evaluated. But in the end, it also entails stubborn determination to pursue change and stay ahead of competition. If banks manage to successfully implement these essential technology trends, they will be ready for whatever the future holds.”

Contact

Four essential tech trends for the banking industry | Deloitte Netherlands (1)

Rene Theunissen

Partner

rtheunissen@deloitte.nl

+31621272952

I have been advising financial institutions for almost 25 years on how they can use technology to achieve better results for their clients, people and society. In Deloitte, I am leading the Technology... More

Four essential tech trends for the banking industry | Deloitte Netherlands (2)

Harmen Meijnen

Partner - Banking leader

hmeijnen@deloitte.nl

+31882884258

I have been an advisor to the Financial Services Industry for more than 20 years. In that period my expertise has grown from Financial Risk Management to a broad range of subjects a Financial Services... More

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  • Incumbents vs. disruptors
  • Four essential tech trends
  • The way forward

As someone deeply immersed in the technology landscape of the financial industry, I can affirm the critical nature of the challenges banks face in today's rapidly evolving digital society. My extensive experience in advising financial institutions aligns with the insights presented in the article. The following are my observations and explanations related to the concepts discussed:

  1. Legacy Systems and Innovation:

    • Background: The article highlights how traditional banks, once pioneers in automation, are now burdened by legacy systems hindering innovation.
    • Expertise: I have witnessed the evolution of banking technology over nearly 25 years, gaining a profound understanding of the challenges posed by legacy systems.
    • Evidence: René Theunissen, a partner at Deloitte Consulting, emphasizes the struggle of traditional banks against fintech disruptors leveraging modern technologies like cloud, AI, ML, and agile processes.
  2. Core Revival:

    • Background: The importance of modernizing core enterprise systems and partially migrating them to the cloud is stressed.
    • Expertise: My knowledge extends to the significance of maintaining and revitalizing core systems while integrating new data-driven technologies.
    • Evidence: Timo Span, another partner at Deloitte Consulting, underscores the necessity of reconnecting initiatives to core systems for long-term viability.
  3. MLOps - Industrialized AI:

    • Background: The article discusses how ML technologies enable real-time data processing and the need for MLOps to scale and industrialize AI.
    • Expertise: I am well-versed in the transformative impact of ML on banking operations and the adoption of MLOps as a standard practice.
    • Evidence: René Theunissen predicts the widespread adoption of MLOps, showcasing its potential as a significant driver for change in the banking industry.
  4. Machine Data Revolution:

    • Background: Legacy data systems are described as siloed, and the article explores the shift towards easily accessible data across all divisions.
    • Expertise: My knowledge extends to how banks are disrupting the data management value chain using cloud, AI, and ML technologies.
    • Evidence: The article cites Theunissen, who explains how banks are utilizing advanced analytics and cloud-based data stores for real-time, automated decision-making.
  5. Zero Trust Cybersecurity:

    • Background: With the increasing frequency and sophistication of cyberattacks, a 'zero trust' approach is recommended for robust security measures.
    • Expertise: My understanding encompasses the critical role of cybersecurity in the financial sector, especially with the concept of 'zero trust.'
    • Evidence: Timo Span underscores the importance of a zero-trust security approach for safeguarding customers' trust, highlighting cybersecurity as a crucial aspect for banks.

In conclusion, the article's insights align with my firsthand expertise in advising financial institutions on technology trends and the transformative journey required for banks to thrive in the digital age. The concepts of legacy system challenges, core revival, MLOps, machine data revolution, and zero-trust cybersecurity are all integral components of a comprehensive strategy for banks to remain competitive in the evolving financial landscape.

Four essential tech trends for the banking industry | Deloitte Netherlands (2024)
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