Financial services companies need a reliable, secure, and flexible platform in order to build toward the future. Red Hat has the expertise to help you modernize so that you can meet customer demands while reducing costs and risk.

Discover the future of payments technology, where industry leaders will delve into the latest trends and innovations shaping the payments landscape. From contactless payments and digital wallets to blockchain and cryptocurrency solutions, advancements are enhancing transaction speed, security, and user experience. Learn about the challenges and opportunities presented by evolving consumer expectations and regulatory frameworks and how the rapidly changing world of payments can unlock new opportunities for growth and efficiency.

Top Trends for Financial Services 2025: Payments

Join us for a compelling discussion on open banking technologies and their transformative impact on the financial services landscape. This session will explore how open banking fosters innovation by enabling secure data sharing between banks and third-party providers, enhancing customer experiences through personalized services and streamlined processes. Industry experts will discuss the regulatory framework, key technological advancements, and emerging trends driving the adoption of open banking. Participants will gain insights into the opportunities and challenges presented by this shift, as well as practical strategies for leveraging open banking to create competitive advantages in the market.

Top Trends for Financial Services 2025: Open Banking

Listen to this informative session on app migration factory, where we explore the essential strategies and considerations for successfully migrating applications to new environments. This discussion covers key factors such as assessing application dependencies, evaluating performance metrics, and understanding the implications of cloud versus on-premises solutions. Industry experts share best practices for minimizing downtime, ensuring data integrity, and maintaining user experience throughout the migration process. Whether you’re planning a major migration or looking to optimize existing applications, learn the insights needed to navigate the complexities of app migration effectively.

Top Trends for Financial Services 2025: Application Modernization & Migration

Join us for an enlightening discussion on the transformative role of AI in the insurance industry. This session will delve into how artificial intelligence is enhancing underwriting processes, improving risk assessment, and personalizing customer experiences. Industry experts will share insights on the implementation of AI-driven technologies, including machine learning algorithms and chatbots, to streamline operations and boost efficiency. We will also explore the ethical considerations and regulatory challenges associated with AI in insurance. Learn valuable perspectives on harnessing AI to drive innovation and competitive advantage in the insurance sector.

Top Trends for Financial Services 2025: AI in Insurance

Operational resilience in banking is the critical importance of maintaining robust systems and processes in the face of disruptions. Enhancing resilience includes addressing risk management and regulatory compliance issues, while integrating modern technology. Learn to build a resilient banking environment that can adapt to challenges while ensuring customer trust and operational continuity. Learn how to fortify your institution against potential threats and ensure long-term stability.

Top Trends for Financial Services 2025: Operational Resilience

Join us to learn about transformative changes occurring in the financial trading sector. We’ll discuss the adoption of cloud computing, big data analytics, and blockchain technology, which are collectively reshaping trading infrastructure. We’ll cover how these innovations enhance trading speed, reliability, and security, enabling firms to handle higher volumes of transactions more efficiently. We’ll highlight the role of real-time data analytics in providing actionable insights, improving decision-making processes, and optimizing trading strategies to capitalize on market opportunities.

Top Trends for Financial Services 2025: Trading Modernization

As financial institutions increasingly rely on artificial intelligence to enhance decision-making and customer experiences, synthetic data offers a powerful solution for overcoming data privacy challenges and improving model training. Join us as we explore the benefits of using synthetic datasets, including enhanced data diversity, reduced bias, and compliance with regulations. Industry experts will share real-world applications, best practices, and insights on how synthetic data can drive innovation and efficiency in banking. Don't miss this opportunity to learn how to leverage synthetic data for a competitive edge in the evolving financial landscape.

Top Trends for Financial Services 2025: AI and Synthetic Data

Virtualization isn't new, but it has changed over the past few years. Many have an opportunity to explore other approaches and Red Hat® OpenShift® Virtualization is allowing teams new ways to benefit their firms.

In this short Exec to Exec designed for IT leaders, see:
   - What virtualization offers your business.
   - Benefits, tips and tricks.
   - How to get started in modernizing your virtualization strategy with OpenShift Virtualization.

Watch now.

Exec to Exec: The perks of virtualization and how to get them with Red Hat OpenShift Virtualization

Red Hat® OpenShift® Virtualization has been the buzz lately and we often hear, "I thought OpenShift was a PaaS platform." Join us as we clear this up and dive into the benefits of Red Hat OpenShift Virtualization.

Watch this Quick Code Idea to get insight into: 
   - What is Red Hat OpenShift Virtualization?
   - Why would you want to run a virtual machine inside Red Hat OpenShift.
   - How you can gain agility and resiliency. 

Watch now.

Quick Code Idea: Dive into Red Hat OpenShift Virtualization

Whether you love tech or just want it to work when you need it, your teams are likely using virtualization to meet your needs. Knowing key aspects of virtualization allows you to have better conversations and get the outcomes you need faster.

In this Exec to Exec, get insights on:
   - What is virtualization for non-technical leaders.
   - Business benefits leaders should expect.
   - Tips and tricks for getting your goals met quickly.

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Exec to Exec: Top 3 benefits of virtualization for business executives

Instant payments have been offered across continental Europe in differing forms but with limited utilisation thus far by consumers, corporations and merchants. Now, with the European Commission’s legislative action to normalise their availability across SEPA countries, the well-publicised mandate that all financial institutions must be prepared to meet in stages across 2025 is imminent; but what could industry’s readiness and the post-deadline outlook be?

The intended benefits seem very straightforward: ensure that instant payments are affordable, secure, and processed without hindrance across the SEPA countries. Will the legislation support the growth of instant payments and the EUs intent, or will some of the challenges faced by financial institutions persist after the deadline and lead to an inferior product compared to other payment types? Will all banks be ready, or are some facing challenges that might inhibit their compliance with the pending EU mandate, risking possible penalties and customer discontent or departure?

Conversely, will those banks prepared to use the new rules as invitations to stand out from the rest -to enhance and expand their offerings to their retail and corporate clients - take additional market share? The EU and the financial services industry are encouraging innovation-led economic growth across Europe, to open up the banking system to new participants across all social strata, and ultimately provide lower costs and faster, easier transactions to everyone. Time will tell how ready (or not) Euro-country financial institutions were to respond to the mandate’s drive for adoption of instant payments across the region, with their performance and results ultimately offering valuable lessons for non-Euro industry colleagues.

SEPA Inst Mandate: Impacts on Day 1, Day 90 – and beyond?

La sobriété numérique est devenue un enjeu majeur pour les départements IT. Découvrez, dans ce webinar, comment l'approche Red Hat permet d’optimiser l’observabilité et la mesure de l’empreinte carbone cloud, les performances et la durabilité. Apprenez également à réduire votre empreinte environnementale et à vous aligner sur les objectifs mondiaux de durabilité tout en créant un avantage concurrentiel.

Vers de cloud alliant sobriété énergétique, maîtrise des coûts, et performance?

Developer Experience has become one of the biggest success drivers for large-scale distributed platforms. Randeep Khaund and Eddy Krumholz from Deloitte recognized this pattern early on and decided to invest in this area many years ago. This session will explore how Deloitte approaches developer experience, leveraging Red Hat® Developer Hub - as well as a collaborative approach for application modernization.
 
You will also hear about real-world implementations in the financial services industry and how they were used to scale platform usability and application modernization in a highly regulated environment.

Building developer experience, collaboration, and self-service IDPs at an enterprise level

Join us for a 10-minute Coffee Break while we explore AI in transforming the insurance industry. Learn how insurance companies are using AI and where they are going in the future of digitization of operations and services while looking at the opportunities and challenges involved. We’ll explore the digital transformation journey for insurers, offering insights into practical strategies and tools that can support sustainable AI adoption.

Join us as we address:
- The transition from initial GenAI interest to sustained, scalable implementation. 
- The necessity of a multi-year approach to achieve significant ROI from AI systems.
- How to develop comprehensive governance and control models to ensure ethical, fair, and compliant AI usage. 
- The importance of transparency, accountability, and adherence to state laws and regulations to maintain a secure and equitable system.

AI Revolutionizing Financial Services and Insurance

Les secteurs des banques et des assurances évoluent très rapidement, portés par les nouvelles attentes des consommateurs et l'émergence de technologies innovantes. Mais ces secteurs sont également soumis à des contraintes réglementaires de plus en plus strictes…sans compter les exigences de continuité des services, de sécurité, de portabilité et de souveraineté digitale. Dans ce contexte, comment les banques françaises peuvent-elles rester compétitives par rapport aux acteurs européens et américains, accroître leur agilité et se préparer à l’avenir ? Comment intégrer l’IA au sein des architectures existantes ? Quels sont les cas d’usages ? Et les applications pratiques pour ces secteurs ?

Cloud & IA : le début d’une nouvelle ère pour les services financiers ?

The financial fraud threat landscape is vast and constantly evolving, with new attack methods continuously testing the limits of financial institution protection systems. Current AI and ML models, which primarily rely on historical or internal data, have significant weaknesses. They often fail to keep up with the innovative tactics of fraudsters, leaving institutions vulnerable.

To counteract this, financial institutions can leverage synthetic data to enhance their defenses and better understand and respond to evolving fraud and money laundering schemes. Synthetic data helps simulate a wider range of scenarios, providing insights that internal data alone cannot offer. Consistent communication and intelligence data sharing between institutions are crucial for preventing or limiting the impact of financial fraud. Such collaboration enables institutions to stay informed about emerging threats and adapt their defenses accordingly.

Investing wisely in AI systems is essential. Financial institutions must allocate their budgets and resources to develop the most effective AI systems for fraud detection and protection, both now and in the future. This includes embracing synthetic data tools and fostering cross-industry cooperation. As the volume and cost of financial crime threats rise, banks and other financial services must move beyond reliance on internal structures. Instead, they should adopt the latest technology and collaborate more openly to detect and deter attacks.

AI and Synthetic Data: Fighting Financial Fraud and Protecting Customers

Fraudsters are exploiting the vulnerabilities of increasingly interconnected economies, leaving banks facing damaged customer relationships, intense regulatory scrutiny, and heightened reputational risk. 

Near-instant payment settlement leaves little time for traditional fraud detection procedures, adding to a costly and growing challenge. While human analysts are grappling with a complex payments landscape, suspicious activities are staying under the radar of legacy rules-based systems. Artificial intelligence is becoming paramount to improving detection of fraudulent transactions, yet low-quality data is hampering model performance. 

In a bid to improve the accuracy of their AI models, innovative banks are turning to secure intelligence sharing on fraudulent behaviours with external partners. Federated learning is capable of preserving customer privacy while enabling competing banks to share intelligence on bad actors, bolster machine learning models, and reduce operational costs. 

Hosted by The Banker in partnership with Red Hat, this webinar convened leading technology and banking executives leveraging AI to fight financial crime. Chaired by Elizabeth Lumley, Deputy Editor of The Banker, our panel explored use cases for automation in fraud detection, while spotlighting advantages of federated learning for the payments industry and beyond.

Combatting Payment Fraud with AI: A Webinar with The Banker

As financial institutions become more sophisticated in their use of Generative AI and move from experiments to production-grade enterprise deployments, they face several challenges including:

- A rapidly changing landscape of small to large LLMs including commercial and open-source LLMs utilizing RAG applications
- Data gravity, regulations, and security force firms to target multiple deployment environments including on-prem, private, and public cloud
- Others: Lack of accuracy, data response hallucinations, high latency, low scalability, and high costs
To seamlessly produce and deploy, they need to have a flexible and scalable end-to-end approach. Red Hat and 

NVIDIA work together to enable an end-to-end solution built on OpenShift AI and NVIDIA AI Enterprise, including NIM, that enables enterprises to maximize efficiency and performance and maximize their AI investment.

Unlock the Secrets: Successful Gen AI in Financial Services

Quick Code Ideas: Using Red Hat® Ansible® with ServiceNow

Quick Code Ideas: OpenShift® GitOps and OpenShift® AI together

Quick Code Ideas: Policy as Code with Ansible®

Quick Code Ideas: Deeper dive on Ansible®, load balancer and DNS

Quick Code Ideas: Using Red Hat® Ansible® to update load balancer and DNS

Quick Code Ideas: Ansible® and Rest APIs come together

Quick Code Ideas: Connect Red Hat® Ansible® over native protocols, not just SSH

Quick Code Ideas: Dive into Red Hat® Ansible® Lightspeed in Financial Services

Quick Code Ideas: How to use Red Hat® OpenShift® to run Gen AI

Quick Code Ideas: Ansible® workflows to scale automation across the globe

Quick Code Ideas: Solving small problems to fix bigger problems with Ansible®

Quick Code Ideas: Do you really know Ansible? Top 10 list

Quick Code Ideas

Model serving offers many benefits for integration into intelligent applications on-premise, in the public cloud or at the edge. Now you can use Red Hat® OpenShift® AI to make it even easier.

In this 5 minute Quick Code Ideas, Daniele will cover:

- What to know before using Red Hat OpenShift for model serving.
- Tips and tricks for getting started.
- How to get started.

Watch now.

Quick Code Ideas: Using OpenShift® AI for model serving

Model Serving

OpenShift

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Application Development

As an IT professional, many of the problems you face are multifaceted, complex and don’t lend themselves to simple solutions. The information technology community features useful and free information technology resources. Join to browse thousands of videos and webinars on ITIL best practices, IT security strategy and more presented by leading CTOs, CIOs and other technology experts.

Quick Code Ideas: Using OpenShift® AI for model serving

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