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  • Whitepaper

    April 3, 2020
    As the COVID-19 pandemic continues to disrupt business activity across the globe, organizations are reacting to unexpected challenges and adopting new business practices to align with social distancing, school closures and other public health measures. With this, organizations require a sudden shift to employees working from home, most literally overnight. A modernized collaboration and…
  • Research Guide

    December 25, 2021
    Helping Leaders with their Technology JourneyKey Considerations for Technology Modernization and TransformationCIOs play a critical role in transforming the world of work using automation and technology – but they can’t do it alone. Collaboration among the C-suite is critical. This guide contains informative insights and practical tips that CIOs, CISOs, and other technology and C-suite leaders…
  • Newsletter

    March 11, 2021
    Our global survey of C-level executives and directors on macroeconomic, strategic and operational risks highlights their views regarding a disruptive risk landscape over the next decade through 2030.[1]Our global survey captures insights from 1,081 C-level executives and directors across multiple industries, with broad geographic representation. As with our prior surveys, the results captured…
  • Newsletter

    September 8, 2021
    Ransomware attacks have been around for many years. In the past, cyber-threat actors would penetrate a company’s computer and network systems and obtain data with the objective of returning it upon payment. The demanded payments were usually smaller than the ransoms requested in recent incidents. Most of these incidents weren’t financially material, nor were they reported publicly. By contrast,…
  • Whitepaper

    May 1, 2022
    “To put it bluntly, will companies enact courageous ESG policies only when it does not hurt?…This is a moment of truth. Stakeholders have been increasingly mobilised to question the premises of companies’ professed ESG activities. All too frequently, corporations and their executives engage in marketing or obfuscation of what they’re actually doing — what could more accurately be called ‘ESG-…
  • Whitepaper

    March 4, 2021
    Pandemic-related policies and regulation, market conditions are top concerns in the healthcare industry The continuing global challenges and potential existential threat posed by the ongoing COVID-19 pandemic. Political divisiveness and polarization. Social and economic unrest. Gridlock. Artificial intelligence (AI), automation and other rapidly developing digital technologies. Rapid shift to…
  • Whitepaper

    April 29, 2022
    Geopolitical Instability Moves the Goalposts Again In this issue of the Credit Pulse, we look at credit risk considering the macroeconomic and geopolitical uncertainties that continue to shape the financial services industry in the opening months of 2022. We assess lessons learned during the pandemic and how they’re driving lenders to recalibrate operations to enable greater resiliency in the…
  • Whitepaper

    December 2, 2018
    Managing Technical Debt Is the Key to Maintaining Momentum Executive Summary It has been three years since Protiviti published The Road to Renewal: Modernizing Aging Core Systems at Financial Institutions. Technology and consumer expectations have both evolved considerably since that time. The cloud has matured and gained acceptance as viable infrastructure; architectures supporting…
  • Video

    December 11, 2020
    We often get asked, what is the difference between business continuity management (BCM) and operational resilience? Rather than look at the differences, we believe the best way to answer this question is to look at the relationship between these two programs.
  • Blogs

    April 29, 2022
    The Potential of Machine Learning (ML) to deliver value to banks has created something of a gold rush in adopting this methodology for banking applications. ML can produce immense benefits when applied to complex nonlinear problems where there is a large amount of data, particularly unstructured data. Use cases for incorporating machine learning in banking include asset management, fraud…
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