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Accelerate AWS Well-Architected reviews with Generative AI

AWS Machine Learning - AI

As systems scale, conducting thorough AWS Well-Architected Framework Reviews (WAFRs) becomes even more crucial, offering deeper insights and strategic value to help organizations optimize their growing cloud environments. In this post, we explore a generative AI solution leveraging Amazon Bedrock to streamline the WAFR process.

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Freshworks lays off 660 — about 13 percent of its global workforce — despite strong earnings, profits

CIO

We believe this will help us accelerate our growth and simplify the way we work, so that we’re running Freshworks in a way that’s efficient and scalable.” We shifted a number of technical resources in Q3 to further invest in the EX business as part of this strategic review process.

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Technical Review: A Trusted Look Under the Hood

TechEmpower CTO

The answer is to engage a trusted outside source for a Technical Review – a deep-dive assessment that provides a C-suite perspective. At TechEmpower, we’ve conducted more than 50 technical reviews for companies of all sizes, industries, and technical stacks. A technical review can answer that crucial question.

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The key to operational AI: Modern data architecture

CIO

Technology: The workloads a system supports when training models differ from those in the implementation phase. Ensuring effective and secure AI implementations demands continuous adaptation and investment in robust, scalable data infrastructures. To succeed, Operational AI requires a modern data architecture.

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Six steps to creating a successful IT strategy: A guide for CIOs

CIO

This means conducting a SWOT analysis to identify IT strengths — like skilled talent, relevant technologies, strong vendor relationships, and rapid development capabilities — and addressing weaknesses such as outdated systems, resource limitations, siloed teams, and resistance to change.

Strategy 200
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Cloud analytics migration: how to exceed expectations

CIO

A modern data and artificial intelligence (AI) platform running on scalable processors can handle diverse analytics workloads and speed data retrieval, delivering deeper insights to empower strategic decision-making. Intel’s cloud-optimized hardware accelerates AI workloads, while SAS provides scalable, AI-driven solutions.

Analytics 146
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Unlocking the full potential of enterprise AI

CIO

Research from Gartner, for example, shows that approximately 30% of generative AI (GenAI) will not make it past the proof-of-concept phase by the end of 2025, due to factors including poor data quality, inadequate risk controls, and escalating costs. [1] AI in action The benefits of this approach are clear to see.