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Digital Vision: Digital Banking – Atos

As artificial intelligence (AI) technologies and intelligent algorithms become more sophisticated, they have the potential to revolutionize traditional banking models and enable a shift toward digital banking that is faster, more flexible, and more customer-centric.

Franck Coisnon, Industry Director at Atos Group, shared insights on how AI is influencing the development of digital banking. In 2021, Atos published a study titled “Digital Vision: Digital Banking.”

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Description

Artificial Intelligence (AI) has the potential to transform every aspect of banking, from how we save, invest, and spend, enabling a smarter, faster, and more customer-friendly banking model.

AI is one of the fastest-evolving technologies in the modern world. Analysts predict that global investments in AI will reach $98 billion by 2023. In the financial services sector, we are witnessing the profound impact that AI and intelligent algorithms have on our lives and work.

First, let’s define what AI means. There are many interpretations, but we’ll focus on four main types:

  • Voice and facial recognition
  • Speech processing
  • Machine learning
  • Deep learning

These can be applied in various forms, including chatbots, document analysis, process automation, or predictive analytics.

Intelligent Automation

Robotic Process Automation (RPA) is becoming common, especially in banking. It’s ideal for automating simple, repetitive tasks. AI, on the other hand, can handle more complex tasks that require cognitive or “intelligent” processes.

This type of intelligent automation is in high demand. While RPA is great for back-office and accounting tasks, combining it with AI allows automation of customer-facing processes as well.

Opportunities for AI in Banking

  • Customer Service: One of the most common uses of AI in banking. Instead of manually processing thousands of emails, AI can interpret messages and generate appropriate responses for customer service agents to review and send with a click.
  • Sales and Customer Analytics: AI collects and analyzes customer data, providing business development teams with insights, sales funnels, and recommendations for next steps to build relationships and drive sales.
  • IT Services: AI can detect potential errors in applications and systems, improving the reliability and resilience of IT infrastructure.
  • Fraud Prevention: AI is increasingly vital for managing fraud by identifying and blocking suspicious payments or claims.
  • Cybersecurity: As cyber threats grow more complex, AI can be used for predictive analytics to detect attacks before they happen.

AI Enhances, Not Replaces Humans

Despite media narratives suggesting AI will replace humans, that’s not the case. AI is designed to enhance human capabilities, not replace them. Human oversight is essential to ensure AI algorithms deliver expected results. AI is still learning and cannot be everything to everyone just yet.

Improving Customer Experience

Many of AI’s benefits focus on meeting customer needs. For example, when interacting with a company online, AI provides instant, accurate, and specific answers—exactly what modern consumers, especially millennials, expect.

Other advantages include improved accuracy and quality by reducing human error, which boosts customer satisfaction and service quality. And let’s not forget cost savings: by increasing precision and productivity, staff can focus on more valuable tasks.

Successful AI Implementation

Some banks have fully embraced AI, establishing centers of excellence. Others are still exploring its benefits and figuring out how to accelerate delivery and define its capabilities.

Regardless of AI maturity, here are three key lessons:

  1. Focus on business pain points: Start with a deep understanding of business challenges (e.g., customer service issues) and use AI to solve them, proving its value and gaining support.
  2. Manage expectations: Internally, it’s important to remember that AI is not a replacement for the human brain.
  3. Integrate knowledge: Consolidating information within the organization helps industrialize AI, capitalize on knowledge, and expand its applications.

AI as a Foundation for Future Banking

AI technologies offer banks the chance to fundamentally improve their products and services. Yet, many banks have only made preliminary progress. For many, AI remains experimental due to limited investment, fragmented data, or outdated practices that hinder collaboration between operations and tech teams.

Despite slow progress, banks must adopt AI as a foundation for new value propositions and customer differentiation.

Established banking providers are increasingly competing with new entrants like big tech companies, a trend accelerated by the COVID-19 pandemic. To succeed in a digital future, financial institutions must embrace new technologies and remain resilient to short-term disruptions.