The 2025 NVIDIA GPU Technology Conference (GTC) showcased groundbreaking advancements and innovations in the field of AI and quantum computing. Among the highlights were the introduction of the Blackwell Ultra AI chips, the unveiling of the Groot N1 AI model for robotics, and a partnership with GM to develop custom AI systems for autonomous vehicles. To provide deeper insights into these developments, we have gathered expert commentary from leading voices at WitnessAI and Protegrity.
Quantum Day & Quantum Computing Initiatives
Clyde Williamson, Senior Product Security Architect at Protegrity, shared his thoughts on NVIDIA’s announcement of its first Quantum Day at GTC:
“In light of NVIDIA announcing its first Quantum Day at GTC, I’d like to offer what may be counterintuitive advice to businesses: stay grounded, now is only the time to plan. Despite some of the flashy headlines, quantum is still nascent and likely still has years in development – not to say that the developments we do have aren’t exciting. We’ve all seen the news articles discussing how every encryption in the world can be broken at any time, but this is an unhelpful narrative rooted in fearmongering. While it is true that quantum computers have the potential to break conventional algorithms in a fraction of the time it would take traditional computers, reality shows a narrow use case that may or may not happen on an undetermined timeline. While we’re still figuring out what that exact timeline is, over the next few years is the perfect time for businesses to plan and solidify their quantum resistance. We already have new algorithms that can replace the older, susceptible ones. Tokenization is another quantum-resistant solution that can help protect against future threats posed by quantum computing. But it’s all still in the future. Don’t let fear and uncertainty guide your decision-making; focus on protecting your most valuable asset: data.”
AI Scaling and Computational Demands
James Rice, VP of Product Marketing at Protegrity, commented on the implications of AI scaling highlighted at GTC:
“NVIDIA’s GTC event highlights how our industry is transforming due to immense growth in AI scaling. These systems can create intelligent workflows that autonomously generate insights and increase business value. As they become more sophisticated, AI systems use large volumes of structured and unstructured data that often include sensitive information, posing the risk of data exposure, breaches, and malicious attacks. These potential avenues for data to be compromised demand heightened computational requirements and enhanced data protection or privacy to support them. A multi-faceted approach is a necessity in securing AI data. Data-centric security capabilities like redaction, anonymization, and de-identification must work in tandem with innovation to protect data while increasing data utility when using AI and open-source tools. Regular risk assessments paired with data protection solutions that reduce friction in analytics can help organizations adopt AI technology while maintaining security, privacy, and compliance. Holistic data security that embeds protection into the data itself allows organizations and individuals to embrace AI while keeping our data safe when used for training models or feeding GenAI pipelines.”
Overall Trajectory of AI in the Marketplace
Rick Caccia, CEO of WitnessAI, provided his perspective on the rapid pace of AI integration into applications:
“We continue to see new AI apps come to market at a rapid pace, and the embedding of AI into existing apps is happening even more quickly. Every app will be AI-enabled in the same way that every app is Web-enabled. Being able to see and understand how AI use affects data privacy and user safety will be even more important when AI is everywhere.”
The insights underscore the transformative potential of AI and quantum computing while emphasizing the importance of strategic planning and robust data security measures. As the industry continues to evolve, staying informed and prepared will be key to leveraging these technologies effectively.
