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  • Podcast Transcript

    August 25, 2021
    Open source helped revolutionise classical computing. What can it do for quantum? EPiQC is a collaboration across five universities that is developing a range of open-source tools to connect algorithms to quantum computers, including programming languages, compilers, optimisers, and more. They’re also working on benchmarking, which is much needed as different types of quantum systems come online…
  • Infographic

    July 25, 2022
    Pushing for digital transformation and enhanced data analytics, protecting personal data and maintaining privacy for customers and key stakeholders are the top overall priorities for CFOs and finance leaders in TMT. Read more insights in Security, Data, Analytics and ESG Top 2021 Priorities for TMT Finance Leaders. Download Infographic
  • Podcast

    April 1, 2020
    This is a series of podcasts on GRC programmes and technologies, obtaining perspectives from Protiviti leaders and subject-matter experts around the world on GRC drivers, innovations and challenges in their markets. This episode features conversation with Owen Strijland, a director with Protiviti’s Technology Consulting practice based in Amsterdam. Owen offers his viewpoints on GRC developments…
  • Podcast Transcript

    April 1, 2020
    This is a series of podcasts on GRC programmes and technologies, obtaining perspectives from Protiviti leaders and subject-matter experts around the world on GRC drivers, innovations and challenges in their markets. This episode features conversation with Owen Strijland, a director with Protiviti’s Technology Consulting practice based in Amsterdam. Owen offers his viewpoints on GRC developments…
  • Whitepaper

    February 4, 2021
    The healthcare technology landscape is experiencing a full-blown disruption with growing global health impacts from the likes of pandemics (COVID-19), global cyberattacks (WannaCry) and the overall push to innovative digital and advanced analytics capabilities aimed at increasing the quality of care, improving the health of communities, reducing costs and connecting the patient across various…
  • Survey

    December 19, 2023
    CPG and retail finance leaders cite ESG, inflation and data security as top prioritiesWhether it is dealing with inflation, supply-chain disruptions or workforce challenges, finance leaders in the retail and consumer packaged goods (CPG) industries are leading their organisations’ efforts to navigate today’s uncertain market environment. Increasingly, companies are leaning on finance leaders to…
  • Infographic

    May 14, 2024
    Finance leaders in the retail and consumer packaged goods (CPG) industries are leading their organisations’ efforts to navigate today’s uncertain market environment. Whether it is dealing with inflation or supply-chain disruptions, the leaders are stepping outside their comfort zones to provide strategic guidance across all facets of the business.
  • 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…
  • Insights paper

    March 20, 2024
    In today's digital age, data privacy management is paramount for businesses and individuals alike. With the ever-changing regulatory landscape surrounding data protection, organisations must adapt swiftly to ensure compliance and maintain trust with their customers and stakeholders. However, both data sovereignty and localisation play an important role in privacy, as discussed in a previous post…
  • 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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