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  • Podcast

    June 26, 2024
    Error correction typically involves a lot of physical qubits and using them to create one logical qubit. Ratios vary by modality and approach, so getting a single fault-tolerant qubit may take seven to a thousand physical ones. What if there was a way to correct most of the errors that appear on each qubit instead? Scaling up from there would certainly be much easier, getting us to machines that…
  • Podcast

    March 6, 2024
    Quantum computing needs error-corrected, logical qubits to exit the noisy intermediate-scale quantum (NISQ) era and bring real advantage to practical business and other use cases. A recent experiment at Harvard succeeded at creating 48 logical qubits on a neutral atom platform, and the techniques will be implemented in production systems in the future. We may have 100 logical qubits by 2026! Join…
  • Podcast Transcript

    September 1, 2021
    Like organisations in virtually every industry today, utilities are addressing a number of critical challenges and trends in the market, from infrastructure demands, to calls to improve the customer experience, to talent demands, and much more. How will the future for utilities evolve? In this informative podcast, Peter Tumminello and Claire Gotham offer a number of interesting insights into…
  • Podcast

    September 1, 2021
    Like organisations in virtually every industry today, utilities are addressing a number of critical challenges and trends in the market, from infrastructure demands, to calls to improve the customer experience, to talent demands, and much more. How will the future for utilities evolve? In this informative podcast, Peter Tumminello and Claire Gotham offer a number of interesting insights into…
  • 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…
  • Whitepaper

    July 22, 2021
    The future of organisations will be built on the ability to work securely from anywhere, using any device at any time. This was made clear during the COVID-19 pandemic, which forced millions of workers to work from home using company-owned or personal devices. As the velocity and persistence of cybersecurity attacks increase daily and digital transformation continues to be a priority for…
  • Insights paper

    December 2, 2024
    Navigate the dynamic digital landscape of 2025 and beyond. Stay ahead with agility, insights, and a customer-centric approach. Embrace emerging trends for an innovative digital experience."
  • Whitepaper

    December 11, 2022
    Governments around the globe have engaged increasingly in offensive economic-sanction tactics in response to geopolitical conflicts, social injustice and violations of basic human rights. For fear of not being able to exit positions, leery market participants and investors have been swift to react. The economic ramifications of sanctions extend beyond the borders of the sovereign nations upon…
  • Whitepaper

    May 2, 2023
    The big picture: Protiviti’s inaugural Global Technology Survey shows TMT companies are streamlining operations to save costs while managing a wide range of technology-related risks that could impede their ability to innovate. Go deeper: The survey underscores the need for companies to: Address challenges to innovation such as security and privacy-related risks, changing regulations…
  • Podcast

    March 20, 2024
    In 1981, Richard Feynman gave a keynote that proposed simulating physics with computers. We’ve come a long way with the resulting quantum computers, and you may have heard about business use cases for them. But how much progress has been made in using the machines to understand the universe? Who better to ask than Dr. Harry Cliff from the Large Hadron Collider? He discusses how quantum computers…
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