Course ID
Key schedule and booking details
Length 10 Days
Location Paris Fees £ 8700
Date
2026-05-04
OVERVIEW
The banking and finance industry is undergoing a seismic shift, driven by rapid technological advancements and evolving customer expectations. Digital transformation is no longer optional—it is the key to staying relevant, competitive, and secure in a data-driven world.
This course is designed to equip professionals with the insights and skills needed to navigate and implement digital transformation strategies in banking and finance. From artificial intelligence and big data to cybersecurity and mobile banking, participants will explore how cutting-edge technologies are reshaping financial institutions.
What You'll Learn:
Understand the impact of digital transformation on banking and financial services.
• Analyze big data, IoT, and AI applications for improved decision-making and customer experiences.
• Explore cybersecurity frameworks and data protection strategies in banking.
• Learn how challenger banks and fintech disruptors are reshaping the industry.
• Develop strategies to overcome legacy system challenges and implement cutting-edge solutions.
• If you've ever asked, "How can we harness technology to revolutionize banking and finance?" this course provides the blueprint to turn strategy into reality.
OBJECTIVES
By the end of the Digital Transformation in Banking and Finance Industry course, you will be able to:
• Develop digital strategies aligned with customer needs and future trends.
Understand how technology enhances financial services efficiency and profitability.
• Address challenges in AI, robotics, and distributed ledgers.
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• Implement and manage digital transformation in financial institutions.
IDEAL PARTICIPANTS
The Digital Transformation in Banking and Finance Industry course is ideal for: Executives in banks and financial institutions.
• Technology professionals who want to better understand digital transformation in the financial sector.
• Those who want to improve digital transformation strategies to increase competitiveness and profitability in their organizations.
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• Professionals responsible for managing digital innovations and analyzing their impact on financial performance.
OUTLINE
DAY 1
The financial landscape is evolving—today, we examine the drivers of digital transformation in banking. Defining digital transformation in the banking and finance industry.
• Key developments shaping the financial sector.
• Challenges of traditional banking and the shift to digital solutions.
• Social media’s impact on customer engagement in banking.
• Understanding the banking value chain and service delivery transformation.
• Technology governance frameworks for financial institutions.
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• Case Study: Success stories of digital transformation in leading banks.
DAY 2
Before adopting new technologies, organizations must evaluate their readiness for change. Strategies for analyzing an organization’s digital capabilities.
• IT skill sets and qualifications required for digital banking.
• The role of leadership in driving technological transformation.
• Enterprise architecture frameworks and their significance in banking.
• Emerging banking technologies:
• Neural computing
• Third-party payment solutions
• Biometric authentication (ocular & voice recognition)
• Mobile payments and contactless finance
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• Overcoming legacy system challenges in banking transformation.
DAY 3
Data-driven decision-making is at the heart of digital transformation—today, we explore how Big Data and IoT are reshaping banking. The role of Big Data in financial services and risk management.
• Machine learning in banking—how AI leverages data for insights.
• Linking behavioral economics with banking profitability.
• The Internet of Things (IoT) in financial services—real-time data collection and analysis.
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• Case Study: The impact of IoT and Big Data on modern banking.
DAY 4
AI is revolutionizing banking operations, from fraud detection to customer service—today, we explore its growing role. Understanding AI applications in banking and finance.
• AI-driven fraud detection and risk management tools.
• Robotics Process Automation (RPA) for efficiency in banking operations.
• How AI-powered analytics influence board-level decision-making.
• AI-driven marketing strategies to personalize customer experiences.
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• Case Study: Real-world examples of AI implementation in financial institutions.
DAY 5
A digital-first approach requires robust security measures—today, we tackle cybersecurity and compliance in finance. The importance of cybersecurity in banking and finance.
• Managing data privacy, security, and regulatory compliance.
• Balancing global accessibility with data protection requirements.
• Understanding the EU GDPR and other financial data protection frameworks.
• AI and deep learning in banking security—detecting fraud and cyber threats.
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• The future of digital banking—what’s next in financial technology?
DAY 6
Data is the new currency—today, we explore how banks can harness its full potential. How do machines learn? Understanding AI-driven data analytics.
• Big Data applications for financial institutions.
• Behavioral economics and profitability—analyzing customer insights.
• The role of IoT in improving pricing and risk analysis.
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• Case Study: Enhancing insurance pricing with real-time vehicle analytics.
DAY 7
Beyond automation, AI is reshaping financial strategy, marketing, and fraud detection. Neural networks as a forecasting tool in banking.
• Comparing AI-driven vs. traditional forecasting techniques.
• Robotics Process Automation (RPA) in banking—boosting efficiency.
• Algorithm-driven corporate bank marketing and sales.
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• Aligning AI with EU GDPR and other data protection frameworks.
DAY 8
With increased digital reliance comes greater risk—today, we tackle cybersecurity strategies. Understanding deep learning and AI-driven security solutions.
• Strengthening digital identity verification and fraud prevention.
• Blockchain’s role in secure financial transactions.
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• Case Study: Cybersecurity innovations protecting digital banking systems.
DAY 9
Fast-forward forecasting—predicting the future of banking. What is "fast forward forecasting," and how does it predict digital trends?
• Reviewing past forecasts: What financial institutions got wrong.
• Techniques for conducting technology forecasting in banking.
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• Measured projections of the banking and finance industry in 2030.
DAY 10
What’s next for financial institutions? Today, we map out a long-term digital transformation strategy. Overcoming obstacles in digital transformation.
• The impact of distributed ledger technology, AI, and robotics by 2030.
• How emerging technologies will impact banking jobs, profitability, and shareholder value.
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• Strategic Exercise: Developing a forward-looking roadmap for digital banking success.
Will I receive course materials?
Yes, high-quality documentation is provided to all delegates.
Do you issue certificates?
An accredited Certificate of Completion is awarded upon successful completion.
What are the course timings?
09:00–12:45 or 13:00–17:00.
How do I register and pay?
Complete the registration form on the course page and select your preferred payment method.
What is your cancellation policy?
14 days from booking for a full refund or free transfer; exceptions apply on medical grounds.
Do you offer airport transfers?
Yes, airport pick-up and drop-off to/from the hotel can be arranged.
CONSULTING SERVICES
Tailored solutions for sustainable growth
At Regent Training Centre, we deliver consultancy services designed to help organisations overcome challenges and achieve sustainable growth through practical and results-driven strategies.
