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How the world can tackle the power demands of artificial intelligence

CIO

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.

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Extend large language models powered by Amazon SageMaker AI using Model Context Protocol

AWS Machine Learning - AI

For MCP implementation, you need a scalable infrastructure to host these servers and an infrastructure to host the large language model (LLM), which will perform actions with the tools implemented by the MCP server. You ask the agent to Book a 5-day trip to Europe in January and we like warm weather.

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Camelot Secure’s AI wizard eases path to cybersecurity compliance

CIO

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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AI security analytics: Turning your data into defenses

CIO

Artificial intelligence (AI) is helping security teams modernize how they detect, investigate, and respond to threats not by replacing analysts or reinventing cybersecurity, but by making existing workflows faster, smarter, and more efficient. The bottom line Deploying AI for cybersecurity doesnt have to be complicated.

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Build Trustworthy AI With MLOps

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.

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Dulling the impact of AI-fueled cyber threats with AI

CIO

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.

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Saudi Arabia’s cybersecurity strategy: Building a resilient digital future

CIO

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.

Strategy 158
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Generative AI Deep Dive: Advancing from Proof of Concept to Production

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.

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Launching LLM-Based Products: From Concept to Cash in 90 Days

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.

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MLOps 101: The Foundation for Your AI Strategy

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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ERP Migration: Why Data Quality Comes First

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.