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The key to operational AI: Modern data architecture

CIO Business Intelligence

To fully benefit from AI, organizations must take bold steps to accelerate the time to value for these applications. Just as DevOps has become an effective model for organizing application teams, a similar approach can be applied here through machine learning operations, or “MLOps,” which automates machine learning workflows and deployments.

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Enter the next phase of Industry 4.0 with edge AI

CIO Business Intelligence

Two things play an essential role in a firm’s ability to adapt successfully: its data and its applications. Which is why modernising applications is so important, especially for traditional businesses – they need to keep pace with the challenges facing trade and commerce nowadays. That’s why the issue is so important today.

Industry 305
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20 powerful women shaping the networking industry

Network World

She started out as senior director of engineering and climbed the ranks to excel at numerous positions, including senior vice president and general manager of Ciscos Cloud, Compute, and IoT business, chief strategy officer, and general manager of applications. She has worked in media, communications, and networking industries.

Network 363
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How to translate your executive IT resume for a new industry

CIO Business Intelligence

With over two decades in technology and leadership roles, Sewell, whose identity has been anonymized for this article, was confident her skills and experiences would transfer but felt that her resume might not stand out for industries outside the public sector.

Industry 305
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Product Transformation: Adapting Your Solutions for Cloud Models

Speaker: Ahmad Jubran, Cloud Product Innovation Consultant

Many do this by simply replicating their current architectures in the cloud. Those previous architectures, which were optimized for transactional systems, aren't well-suited for the new age of AI. In this webinar, you will learn how to: Take advantage of serverless application architecture.

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Nvidia GTC 2025: What to expect from the AI leader

Network World

Last year, Nvidias GTC 2024 grabbed headlines with its introduction of the Blackwell architecture and the DGX systems powered by it. Expect GTC 2025 to further solidify Nvidias position as an AI leader as it showcases practical applications of generative AI, moving beyond theoretical concepts to real-world implementations.

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Enter the next phase of Industry 4.0 with edge AI

CIO Business Intelligence

Two things play an essential role in a firms ability to adapt successfully: its data and its applications. Which is why modernising applications is so important, especially for traditional businesses they need to keep pace with the challenges facing trade and commerce nowadays. Thats why the issue is so important today.

Industry 245