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  • Podcast

    September 15, 2023
    In this episode, hosted by Protiviti Associate Director Alyse Mauro Mason, we focus on financial inclusion, defining financial inclusion and its impact, what it means for your business, and how to manage the risk of more inclusive credit and lending practices.Alyse’s guests are Tracie Anderson of TransUnion and Shelley Metz-Galloway of Protiviti.Tracie is Principal, Economic Inclusion Strategy, U…
  • Podcast Transcript

    September 15, 2023
    In this episode, hosted by Protiviti Associate Director Alyse Mauro Mason, we focus on financial inclusion, defining financial inclusion and its impact, what it means for your business, and how to manage the risk of more inclusive credit and lending practices.Alyse’s guests are Tracie Anderson of TransUnion and Shelley Metz-Galloway of Protiviti.Tracie is Principal, Economic Inclusion Strategy, U…
  • Whitepaper

    August 22, 2021
    The continuing global challenges and potential existential threat posed by the COVID-19 pandemic. Political divisiveness and polarisation. Social and economic unrest. AI, automation and other rapidly developing digital technologies. Rapid shift to virtual work environments. Changes in the geopolitical landscape. Shifting customer preferences. Volatile unemployment levels. Record low interest…
  • Whitepaper

    July 27, 2022
    Robotic process automation (RPA) was first used to execute predetermined, rules-based tasks twenty or so years ago. Since then, RPA has functioned as a virtual workforce for businesses, which benefit from its power to collect data, execute processes rapidly and unerringly, and facilitate higher levels of quality — while enhancing customer satisfaction.We’ve previously addressed at length the …
  • 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…
  • Client Story

    April 9, 2021
    Data privacy has become a strategic priority as companies adapt to comply with rapidly proliferating data privacy laws. Recent years have seen the adoption of the European Union’s General Data Protection Regulation (GDPR), the more recent California Consumer Protection Act (CCPA), and similar regulations. These safeguards require companies to document the types of protected personal data used in…
  • Survey

    January 24, 2022
    As CIOs strive to foster a data-first mindset throughout their organisations, they’ll discover that their CFOs are targeting the same objective in their finance groups — to make better decisions and take smarter risks. Protiviti’s 2021 Global Finance Trends Survey, an annual global survey of CFOs and finance leaders, shows that CFOs are strengthening their already-intense focus on data analytics…
  • Podcast

    April 19, 2023
    Data management is a critical component of an organisation’s reporting and required disclosures, whether they are for regulatory authorities or stakeholders. The needs are no different when it comes to environmental, social and governance (ESG) – an area of growing global importance for organisations worldwide. In this podcast, Protiviti Associate Director Alyse Mauro Mason interviews Protiviti…
  • Podcast Transcript

    June 16, 2023
    Data management is a critical component of an organisation’s reporting and required disclosures, whether they are for regulatory authorities or stakeholders. The needs are no different when it comes to environmental, social and governance (ESG) – an area of growing global importance for organisations worldwide. In this podcast, Protiviti Associate Director Alyse Mauro Mason interviews Protiviti…
  • Flash Report

    November 1, 2023
    In this Flash Report, we summarise the key directives contained in the executive order, address key takeaways and concerns for organisations to consider, and outline steps businesses can take to prepare for changes in the AI regulatory landscape.
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