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  • Video

    November 14, 2024
    Protiviti can assist with leveraging artificial intelligence capabilities within Salesforce to build customer satisfaction, better forecasting and greater pipeline. Learn from Douglas Sellers, Managing Director, how we guide you through responsible implementation that protects your data and achieves your transformation and innovation goals.
  • Newsletter

    December 4, 2025
    For 2025 we asked a larger-than-usual group of Protiviti colleagues across the globe to help identify the most pressing compliance issues in their market. Artificial intelligence, financial crime, privacy and security, operational resilience, third party risk management, consumer protection, compliance function optimisation, and resourcing were identified as priorities in all regions.
  • Video

    November 15, 2024
    Learn from Scott Wisniewski, Managing Director, how we can help you govern artificial intelligence while maximising it to its full effect, including operationaliging GenAI use cases. We can also help you modernise your applications on SaaS-based offerings, reduce technical debt and create a unified service delivery experience for your employees, stakeholders and business.
  • Podcast

    March 13, 2025
    In this episode, Protiviti Managing Directors Constantine Boyadjiev and Todd Pleune delve into the various use cases of AI and its future possibilities. They discuss strategies for leaders to cultivate a culture of curiosity that encourages teams to embrace AI effectively. Tune in to discover high-level machine learning opportunities and large language models that can enhance your daily business…
  • Podcast

    July 7, 2025
    This episode of Protiviti's Blind Spots in the Boardroom podcast Protiviti Managing Director and host Constantine Boyadjiev welcomes Joel Wuesthoff, a Managing Director in Protiviti’s Legal Consulting practice. They discuss the intersection of AI adoption and corporate governance and explore both the opportunities and risks associated with generative AI and large language models, emphasising the…
  • Video

    November 21, 2024
    In this episode of Protiviti Legal Perspectives, host Chad Volkert, Global Solutions leader at Protiviti, sits down with Tom Frohne, senior vice president of Protiviti’s Legal Consulting practice, to discuss the evolving landscape of complex litigation management. With over 25 years of experience spanning both law firm operations and legal consulting, Tom provides invaluable insights into the…
  • Video

    December 21, 2024
    In this episode of the Protiviti Legal Perspectives podcast, host Chad Volkert, Global Solutions leader at Protiviti, welcomes Steve Baron, a managing director in Protiviti’s Legal Consulting practice, to discuss the evolving landscape of legal services and how Protiviti is helping organisations navigate today’s most complex legal challenges. With over 25 years of experience in the legal industry…
  • Podcast Transcript

    July 20, 2023
    AI is disrupting almost every industry right now, so it’s not surprising that machine learning techniques are being used to improve quantum computers and accelerate the coming of fault-tolerant systems. Applications may have an advantageous business impact sooner than we thought. Join Protiviti’s Konstantinos Karagiannis for a chat with Michael Hush from Q-CTRL and learn how they’re squeezing a…
  • Podcast

    July 12, 2023
    AI is disrupting almost every industry right now, so it’s not surprising that machine learning techniques are being used to improve quantum computers and accelerate the coming of fault-tolerant systems. Applications may have an advantageous business impact sooner than we thought. Join Protiviti’s Konstantinos Karagiannis for a chat with Michael Hush from Q-CTRL and learn how they’re squeezing a…
  • Podcast

    May 29, 2024
    Large Language Models are … large. Forget Bitcoin and recharging electric vehicles; the grid could be toppled by powering AI in a few years. It would be optimal if AI could run on more underpowered edge devices. What if there was a quantum-inspired way to make LLMs smaller without sacrificing overall performance in combined metrics? We explore a way to do that and other advanced ideas like…
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