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AI market evolution: Data and infrastructure transformation through AI

CIO

The majority (91%) of respondents agree that long-term IT infrastructure modernization is essential to support AI workloads, with 85% planning to increase investment in this area within the next 1-3 years. While early adopters lead, most enterprises understand the need for infrastructure modernization to support AI.

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Securing the print infrastructure amid a growing threat landscape

CIO

The print infrastructure is not immune to security risks – on average, paper documents represent 27% of IT security incidents. It has a long heritage in end-user computing and continues to drive security innovation across its personal systems and print business.

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Balance between innovation and market adaptability key to Tencent Cloud’s AI success

CIO

Despite these opportunities, Tencent Cloud faces challenges from competitors, requiring a careful balancing act between innovation and market adaptability. While this demonstrates Tencent Cloud’s technical capabilities, the real challenge lies in ensuring the scalability and consistency of these solutions across multiple industries.

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Extending AI innovation to the edge

CIO

With AI at the epicenter of innovation today, bringing AI into Industry 4.0 From plant automation and predictive maintenance in manufacturing to delivering hyper-personalized shopping experiences in retail, edge AI offers a range of possibilities and encourages innovation across industries.

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Want AI? Here’s how to get your data and infrastructure AI-ready

CIO

CIOs are responsible for much more than IT infrastructure; they must drive the adoption of innovative technology and partner closely with their data scientists and engineers to make AI a reality–all while keeping costs down and being cyber-resilient. Artificial intelligence (AI) is reshaping our world.

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The future of healthcare: Why enterprises must embrace AI innovation

CIO

The intersection of AI, software, and data management is set to revolutionize healthcare and will serve as a critical driver of medical innovation and improved patient outcomes. Beyond improved patient outcomes, AI integrated into site reliability engineering can help improve the scalability of software systems.

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Scalable training platform with Amazon SageMaker HyperPod for innovation: a video generation case study

AWS Machine Learning - AI

To accelerate iteration and innovation in this field, sufficient computing resources and a scalable platform are essential. These challenges underscore the importance of robust infrastructure and management systems in supporting advanced AI research and development.