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  • Newsletter

    September 24, 2025
    Welcome to this quarter’s edition of Protiviti’s Manufacturing and Distribution newsletter! In this issue, we spotlight the industry’s most pressing talent risks, explore how CFOs are navigating technology change, and share insights on building confidence in AI and data. Don’t miss our top reads on ERP transformation, sustainability, and cost optimisation shaping the future of the industry
  • Client Story

    March 10, 2023
    United Way of Greater Toronto (UWGT), which has been mobilising volunteers and resources to help those in need since 1973. Despite its long-standing success, the organisation was losing market share to competitors, making it harder to meet its mission. With an existing relationship with Protiviti, UWGT reached out for help to revamp its legacy donation platform by focusing on technology,…
  • Newsletter

    March 12, 2025
    The economy, talent and cyber threats represent the most pressing risk issues organisations face over both the near- and long-term, with artificial intelligence (AI) concerns lurking as well. Yet board members and executives view their organisations as more resilient and better prepared to manage through change. These are among the notable findings in the latest Executive Perspectives on Top…
  • Newsletter

    September 2, 2024
    Dealing with regulatory change and uncertainty continuously ranks among the top risks identified by board members and C-suite executives across the globe. Some believe that recent U.S. Supreme Court decisions will increase this risk for companies doing business in the United States, while others applaud the Court’s actions. What is happening, and what does this mean for boards and their companies?
  • Podcast

    October 8, 2024
    An increasingly important issue for board members to address today is sustainability – specifically, sustainable sourcing and operations. These challenges not only have global compliance implications, but also brand and reputation issues, which are especially important to the board.In this episode, we speak with Protiviti’s Radhi Subramanian and Debjani Mallick about strategic and sustainable…
  • Survey

    December 12, 2023
    TMT executives were asked to identify the biggest threats they anticipate over the next 12 months and a decade ahead. Many of the risks cited correlate in many ways and can be categorised under two broad themes: foundational risks, which are essentially challenges that leaders must address to keep their business thriving, and risks that are essential for continued growth and expansion.
  • Client Story

    March 17, 2021
    The impending retirements of two key executives would constitute a significant disruption for any enterprise. It’s even more disruptive when the business’s legacy customer relationship management (CRM) system was home-built by the departing CIO, and other legacy systems split customer data into separate collections. Under such circumstances, a few agile interventions might be called for. As with…
  • Whitepaper

    February 18, 2021
    Companies aggressively moved to the public cloud in 2020, driven in part by the pandemic and the shift to a remote workforce. That pace is expected to accelerate in 2021, as more and more companies move applications and data to the cloud to achieve the benefits that have been touted for years, including cost savings, flexibility and on-demand scalability. It would be a challenge for an individual…
  • Podcast

    April 16, 2025
    In this Episode, host Frank Kurre welcomes Ann Rodriguez, a seasoned executive who brings extensive leadership experience from Deutsche Bank, GE Capital, Wells Fargo, Wachovia, and Goldman Sachs. Together, they explore the evolving landscape of digital assets and their implications for board governance. Their discussion delves into key elements of effective governance frameworks, emerging risk…
  • 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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