Remove Innovation Remove Metrics Remove Vendor Management
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How today’s enterprise architect juggles strategy, tech and innovation

CIO

Innovator/experimenter: enterprise architects look for new innovative opportunities to bring into the business and know how to frame and execute experiments to maximize the learnings. enterprise architects need to balance innovation with the practical realities of contracts and service agreements.

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6 best practices for better vendor management

CIO

And how well an IT leader deals with and orchestrates vendor relationships can mean the difference between a well-organized and efficient IT operation and a mess that costs an organization millions of dollars without delivering positive results. Here are several key tips for making the most of vendor relationships.

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4 recs for CIOs as they implement agentic AI

CIO

Theyre rapidly experimenting with agentic AI in isolated workflows to capture quick wins but scaling enterprise-wide only after clear success metrics are met,particularly around security, observability, and human-in-the-loop validations. CIOs are deliberately choosing a fast in pilots, slow in production mindset, he says.

Survey 184
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Navigating the cloud maze: A 5-phase approach to optimizing cloud strategies

CIO

Cloud cost visibility, cost insights, cost governance, defining a cloud baseline infrastructure and vendor management are essential components of a comprehensive cloud financial management strategy. This point in the journey is where enterprises have achieved what I feel is the true essence of making money with the cloud.

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10 best practices when partnering for strategic skills

CIO

Collaboration with external partners allows enterprises to enhance their IT prowess, drive innovation, and bridge skill gaps more effectively amid a swiftly evolving digital landscape,” says Arpita Dwivedi, practice director at Everest Group. Double down on vendor management. Staff augmentation and outsourcing are nothing new.

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5 ways to maximize your cloud investment

CIO

Optimizing cloud investments requires close collaboration with the rest of the business to understand current and future needs, building effective FinOps teams, partnering with providers, and ongoing monitoring of key performance metrics. We need hard metrics because we’re running 800 instances of cloud computers.

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Build a multi-tenant generative AI environment for your enterprise on AWS

AWS Machine Learning - AI

In this second part, we expand the solution and show to further accelerate innovation by centralizing common Generative AI components. Model monitoring – The model monitoring service allows tenants to evaluate model performance against predefined metrics. Both Amazon SageMaker and Amazon Bedrock are integrated with AWS CloudTrail.