Insight Search

Sort by:
  • Whitepaper

    March 16, 2022
    Pandemic-related policies and regulation, interest rate environment are top concerns in financial services industry The continuing global challenges and potential existential threat posed by the ongoing COVID-19 pandemic. Political divisiveness and polarisation. Social and economic unrest. Gridlock. Artificial intelligence (AI), automation and other rapidly developing digital technologies. Rapid…
  • Survey

    December 9, 2021
    Key issues being discussed around the globe in the boardroom and C-suite Massive disruptions in the global supply chain. Challenges in attracting and retaining talent to address needs all across the enterprise. The Delta and Omicron variants. Cyber attacks and ransomware. Geopolitical tensions in specific regions and shifts on issues related to climate change. Long-overdue shifts in expectations…
  • 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…
  • Client Story

    February 6, 2023
    Using spend analytics findings, Protiviti helped the client build and strengthen a procurement department with a custom procurement taxonomy. Working with the client’s first procurement leader, we helped secure an e-sourcing tool.
  • Newsletter

    November 13, 2024
    Almost every organisation around the world is trying to figure out what artificial intelligence (AI) offers and how to deploy it to move the business forward. A road map can help directors engage more effectively in these strategic conversations. With the emergence of generative AI (GenAI), organisations all over the globe are taking a close look at the tremendous promise AI offers in…
  • Podcast

    September 7, 2022
    An 85-year-old idea may hold the key to nearly error-free qubits. The Majorana fermion has taken on almost mythical status, but Microsoft recently solved a critical technical hurdle to creating topological qubits with the particle. How close are we to quantum computers with this technology? What other future developments can we expect from Azure Quantum? Join host Konstantinos Karagiannis for a…
  • 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…
  • 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…
  • 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…
  • 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…
Loading...