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.

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.

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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. 

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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

Learn the fundamentals about OpenShift Virtualization and what you need to understand when getting started.

OpenShift Virtualization 101: Fundamentals and Getting Started

Payments continue to change and expectations are expanding rapidly. Staying on top of it all is a challenge we can help with. Join payments expert, Ramon Villarreal, to take a look forward so you can better meet future demand.

In this Exec to Exec, get:

- Insights on how successful firms are using technology. 
- Trends that impact the future of payments.
- Guidance for setting yourself up for the future.

Watch now.

Exec to Exec: The future of payments

Creating new automation workflows faster based on ServiceNow ITSM has been very beneficial for customers as teams were freed from hours of manual efforts and could use a single source of truth in the ServiceNow configuration management database (CMDB). With many benefits, knowing how to get starting is key.

In this Quick Code Idea, Joon will provide insight into: 
  - Why you’d want to use Ansible with ServiceNow.
  - How to get started setting this up.
  - Things to think about before getting started.

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

The constant demand for new applications hasn’t slowed, and will likely grow with the public's understanding of AI capabilities. They will expect more, and in less time. 

In this Quick Code Idea, get:
  - Insight on what OpenShift AI  and GitOps offers.
  - The benefits of using them together.
  - How to get started OpenShift AI and GitOps together.

Watch now.

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

Join us for a 10-minute Coffee Break 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.

Join us to learn about: 
- The implications of these modernizations on regulatory compliance and market integrity. 
- The need for updated regulatory frameworks to keep pace with technological advancements, ensuring that new trading practices remain transparent and fair. 
- The impact of modernization on market accessibility, noting that advanced trading technologies are democratizing access to financial markets, allowing a broader range of participants to engage in trading activities. 
- The future of trading modernization, driven by artificial intelligence, machine learning, and other emerging technologies, which are expected to further enhance the efficiency and effectiveness of financial markets.

Modern Trading Platforms using AI

Explore the transformative power of AI in improving customer experiences, optimizing operations, and mitigating risks. Although AI has immense potential, navigating challenges such as data locality, regulatory compliance, privacy concerns, and the rapidly evolving AI landscape requires careful consideration.

The webinar will be led by industry experts, including Aric Rosenbaum, Chief Technologist on Red Hat’s Global Financial Services team, and Noreen Hansen, Senior Vice President, Hybrid Cloud & Infrastructure Practice, NTT Americas Inc. They will provide a comprehensive review of architectural approaches to AI, giving attendees valuable insights to make informed decisions tailored to their unique use cases.

This is an opportunity to explore the intersection of AI and hybrid environments and discover strategies for harnessing the full potential of AI while overcoming obstacles.

AI in a Hybrid World

Imagine if your teams had extra time to innovate to get you an edge over other financial firms, as you exceed customer expectations.

In this Exec to Exec, we’ll discuss how to:

  - Decrease potential risk.
  - Gain cost optimizations.
  - Steps to take to gain benefits.

Watch now.

Exec to Exec: How automation impacts the business teams in a financial firm

What to expect in financial services in 2024

Embedded finance: Creating the everywhere, everyday bank

How to turn financial services trends into action: Lessons from Sibos

Business impact of automation on financial firms

Observability in financial services

What’s new with Ansible for financial services

Intelligent security and cloud services

Red Hat Financial Services Coffee Break Series

Using data and intelligent automation to enhance digital capabilities is the key to creating new ways to differentiate and drive business growth. Red Hat, along with IBM, promote a proven method to enhance insurance processes with smart decisions and automation. Join us for 10 minutes to learn about how artificial intelligence and machine learning (AI/ML) can help improve automation using a hybrid cloud approach.

Join us for a 10-minute coffee break where we’ll cover:

- Shortening the innovation cycle using hybrid cloud approach.
- How adding AI/ML and automation can improve productivity.
- Ways that Red Hat supports co-creation with our customers and partners.

Intelligent claims, capabilities, and solutions

Cloud

Automation

IT Automation

Claims

claims processing

Insurance

Digital Transformation

Artificial Intelligence

Financial Services

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Intelligent claims, capabilities, and solutions

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