CIO
DECEMBER 5, 2024
The world must reshape its technology infrastructure to ensure artificial intelligence makes good on its potential as a transformative moment in digital innovation. Its clear that the technology firms must understand how this technology will impact if it is to deliver on the promise of a secure and trustworthy AI.
CIO
NOVEMBER 4, 2024
The Cybersecurity Maturity Model Certification (CMMC) serves a vital purpose in that it protects the Department of Defense’s data. But certification – which includes standards ensuring that businesses working with the DoD have strong cybersecurity practices – can be daunting.
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CIO
OCTOBER 24, 2024
But when it comes to cybersecurity, AI has become a double-edged sword. While poised to fortify the security posture of organizations, it has also changed the nature of cyberattacks. Take for instance large language models (LLMs) for GenAI. Data privacy in the age of AI is yet another cybersecurity concern.
CIO
DECEMBER 16, 2024
As Saudi Arabia accelerates its digital transformation, cybersecurity has become a cornerstone of its national strategy. With the rise of digital technologies, from smart cities to advanced cloud infrastructure, the Kingdom recognizes that protecting its digital landscape is paramount to safeguarding its economic future and national security.
Advertiser: Data Robot
In our eBook, Building Trustworthy AI with MLOps, we look at how machine learning operations (MLOps) helps companies deliver machine learning applications in production at scale. AI operations, including compliance, security, and governance. AI ethics, including privacy, bias and fairness, and explainability.
CIO
MARCH 20, 2025
After more than two years of domination by US companies in the arena of artificial intelligence,the time has come for a Chinese attackpreceded by many months of preparations coordinated by Beijing. Its approach couldchange the balance of power in the development of artificial intelligence.
CIO
JANUARY 9, 2025
Generative artificial intelligence ( genAI ) and in particular large language models ( LLMs ) are changing the way companies develop and deliver software. These autoregressive models can ultimately process anything that can be easily broken down into tokens: image, video, sound and even proteins.
Speaker: Maher Hanafi, VP of Engineering at Betterworks & Tony Karrer, CTO at Aggregage
Executive leaders and board members are pushing their teams to adopt Generative AI to gain a competitive edge, save money, and otherwise take advantage of the promise of this new era of artificial intelligence.
Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage
In this exclusive webinar, Christophe will cover key aspects of his journey, including: LLM Development & Quick Wins 🤖 Understand how LLMs differ from traditional software, identifying opportunities for rapid development and deployment.
Advertiser: Data Robot
Many organizations are dipping their toes into machine learning and artificial intelligence (AI). Download this comprehensive guide to learn: What is MLOps? How can MLOps tools deliver trusted, scalable, and secure infrastructure for machine learning projects?
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Automation and machine learning are augmenting human intelligence, tasks, jobs, and changing the systems that organizations need in order not just to compete, but to function effectively and securely in the modern world.
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