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The impact of AI on edge computing

CIO

AI, including Generative AI (GenAI), has emerged as a transformative technology, revolutionizing how machines learn, create, and adapt. Edge processing keeps sensitive data local, addressing privacy concerns and ensuring compliance with data protection regulations. billion in 2027 with a compound annual growth rate (CAGR) of 86.1%

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Learn from past cloud-first mistakes for better AI

CIO

The cloud computing revolution brought with it many innovations, but also lessons about the pitfalls of rapidly adopting new technologies without a well-planned strategy. This balanced approach will help avoid past mistakes and build a robust foundation for future innovation. Learn more about the Dell AI Factory in this webinar. [1]

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How automation enables better data governance

CIO

The answer for many businesses has been automation, with countless large and highly regulated organizations turning to automation software to even the content management and compliance playing field. However, these innovative tools have been around for decades and are highly applicable and available.

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Singularity Energy raises $4.5 million seed round to decarbonize the grid

TechCrunch

It also uses machine learning to predict spikes and troughs in carbon intensity, allowing customers to time their energy use to trim their carbon footprints. The company initially focused on helping utility customers reduce their electricity costs by shaving demand or turning to battery storage. founder and CEO Wenbo Shi said.

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Prioritizing AI? Don’t shortchange IT fundamentals

CIO

In fact, for security, compliance, and efficiency reasons, CIOs will want to carefully manage which data generative AI has access to. As the cost of data storage has fallen, many organizations are keeping unnecessary data, or cleaning up data that’s out of date or no longer useful after a migration or reorganization.

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

AWS Machine Learning - AI

Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications. We first delve into the vulnerabilities, threats, and risks that arise from the implementation, deployment, and use of LLM solutions, and provide guidance on how to start innovating with security in mind.

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The Future of CISO: Chief Information Security Officers

N2Growth Blog

In addition to protecting the organization from cyber threats, this senior executive now plays a strategic role in ensuring that data assets and technologies are well-protected while supporting business innovation and growth. This shift toward predictive compliance will be critical in navigating the future of cybersecurity.