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Into the Future: The Fast Track for Financial Markets

By: IBM Line of Business View more from IBM Line of Business >>

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The finance industry vs. advanced threats: How to win the war

By: Vodafone

Type: eBook

The finance industry is going through a turbulent storm full of new challenges and concerns. 84% of enterprises experienced one or more breaches in the past 12 months (Fortinet, 2023 Global Cyber Skills Gap Report), while cyber crime is predicted to inflict damages totaling $8 trillion dollars globally in 2023 (Cyber security Ventures, 2022).

To survive this, financial services like you need to prioritize trust, security and resilience as your top 3 strategic areas to enable positive change.

Read this eBook for a deep dive into what issues financial services organizations are facing and how technology can help you be better prepared to overcome the challenges of today and the future.

These are also closely related to: "Into the Future: The Fast Track for Financial Markets"

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    Survival of the Nimblest: Creating a Flexible, Collaborative Culture

    By: Atlassian

    Type: Case Study

    For the better part of its history, ANZ Bank grew its reputation as a financial institution by staying the course. But the tides have shifted in the financial services industry. Today, it’s about speed and flexibility.

    To stay competitive, ANZ needed to offer the same level of innovation as their nimbler competitors. That meant embracing iterative processes and constant feedback so they wouldn’t be left in the wakes of fleeter vessels.

    Learn in this case study how ANZ is changing the way 50,000 employees work and think by embracing iterative processes and giving decision-making power to individuals at all levels of the org chart.

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    How to save resources with real-time cost optimization

    By: Pepperdata

    Type: Case Study

    This case study examines how a major financial services company used Pepperdata's real-time cost optimization to save $20 million annually by optimizing resource utilization and improving efficiency across data processing workloads.

    Key benefits include:

    • Automated resource allocation and scaling to match demand
    • Proactive identification and resolution of performance bottlenecks
    • Detailed visibility into cloud spending and optimization opportunities
    • And more

    Read the full case study now to see how Pepperdata's solution helped this financial services leader optimize cloud costs and boost efficiency.

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