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Comprehensive data management for AI: The next-gen data management engine that will drive AI to new heights

CIO

The data is spread out across your different storage systems, and you don’t know what is where. As the next generation of AI training and fine-tuning workloads takes shape, limits to existing infrastructure will risk slowing innovation. Through relentless innovation. How did we achieve this level of trust?

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Gartner projects major IT spending increases for 2025

CIO

The company also plans to increase spending on cybersecurity tools and personnel, he adds, and it will focus more resources on advanced analytics, data management, and storage solutions. The rapid accumulation of data requires more sophisticated data management and analytics solutions, driving up costs in storage and processing,” he says.

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Automate Amazon Bedrock batch inference: Building a scalable and efficient pipeline

AWS Machine Learning - AI

To address this consideration and enhance your use of batch inference, we’ve developed a scalable solution using AWS Lambda and Amazon DynamoDB. Conclusion In this post, we’ve introduced a scalable and efficient solution for automating batch inference jobs in Amazon Bedrock. This automatically deletes the deployed stack.

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Unlocking the full potential of enterprise AI

CIO

These narrow approaches also exacerbate data quality issues, as discrepancies in data format, consistency, and storage arise across disconnected teams, reducing the accuracy and reliability of AI outputs. Reliability and security is paramount. Without the necessary guardrails and governance, AI can be harmful.

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Strategies for telecom executives: Balancing innovation and OPEX

CIO

As telecom executives work to navigate these challenges, finding a balance between fostering innovation and managing operating expenses is no longer optional it is a necessity for survival. This speed to market supports innovation while keeping costs in check, as telecoms quickly adapt to new opportunities.

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Simplify your storage management by leveraging a universal storage layer

CIO

A universal storage layer can help tame IT complexity One way to resolve this complexity is by architecting a consistent environment on a foundation of software-defined storage services that provide the same capabilities and management interfaces regardless of where a customer’s data resides.

Storage 167
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Unleash the power of generative AI with Amazon Q Business: How CCoEs can scale cloud governance best practices and drive innovation

AWS Machine Learning - AI

To maintain their competitive edge, organizations are constantly seeking ways to accelerate cloud adoption, streamline processes, and drive innovation. Readers will learn the key design decisions, benefits achieved, and lessons learned from Hearst’s innovative CCoE team. This post is co-written with Steven Craig from Hearst.