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AI, Cybersecurity and the Rise of Large Language Models

Palo Alto Networks

Artificial intelligence (AI) plays a crucial role in both defending against and perpetrating cyberattacks, influencing the effectiveness of security measures and the evolving nature of threats in the digital landscape. A large language model (LLM) is a state-of-the-art AI system, capable of understanding and generating human-like text.

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Deploy large language models for a healthtech use case on Amazon SageMaker

AWS Machine Learning - AI

To support overarching pharmacovigilance activities, our pharmaceutical customers want to use the power of machine learning (ML) to automate the adverse event detection from various data sources, such as social media feeds, phone calls, emails, and handwritten notes, and trigger appropriate actions.

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Architect defense-in-depth security for generative AI applications using the OWASP Top 10 for LLMs

AWS Machine Learning - AI

Generative artificial intelligence (AI) applications built around large language models (LLMs) have demonstrated the potential to create and accelerate economic value for businesses. We then discuss how building on a secure foundation is essential for generative AI.

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Top 10 barriers to strategic IT success

CIO

On the one hand, artificial intelligence has helped both technology departments and the business units to work better, faster, and cheaper. Other top challenges included budgetary constraints, compliance with laws and regulations, and responding to inquiries from other leaders within the organization. 1 challenge listed.

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10 best practices when partnering for strategic skills

CIO

In addition to AI and machine learning, data science, cybersecurity, and other hard-to-find skills , IT leaders are also looking for outside help to accelerate the adoption of DevOps or product-/program-based operating models. Last June, for example, Dun & Bradstreet launched D&B.AI

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7 sins of digital transformation

CIO

Over the past few years, CIOs have focused on enabling hybrid work, driving efficiencies through automation, modernizing applications, enabling machine learning predictions, and maturing the data-driven organization. In addition, business stakeholders often demand fast results.

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7 enterprise data strategy trends

CIO

Real-time data gets real — as does the complexity of dealing with it CIOs should prioritize their investment strategy to cope with the growing volume of complex, real-time data that’s pouring into the enterprise, advises Lan Guan, global data and AI lead at business consulting firm Accenture.

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