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Digital transformation 2025: What’s in, what’s out

CIO Business Intelligence

Driving a curious, collaborative, and experimental culture is important to driving change management programs, but theres evidence of a backlash as DEI initiatives have been under attack , and several large enterprises ended remote work over the past two years.

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9 IT resolutions for 2025

CIO Business Intelligence

And ensure effective and secure AI rollouts AI is everywhere, and while its benefits are extensive, implementing it effectively across a corporation presents challenges. Kenney plans to partner with commercial off-the-shelf software providers to facilitate a proof-of-concept of their out-of-the-box functionality.

IT 140
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The early returns on gen AI for software development

CIO Business Intelligence

Generative AI is already having an impact on multiple areas of IT, most notably in software development. Still, gen AI for software development is in the nascent stages, so technology leaders and software teams can expect to encounter bumps in the road.

Software 131
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From project to product: Architecting the future of enterprise technology

CIO Business Intelligence

Understanding and tracking the right software delivery metrics is essential to inform strategic decisions that drive continuous improvement. Wikipedia defines a software architect as a software expert who makes high-level design choices and dictates technical standards, including software coding standards, tools, and platforms.

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Introducing Amazon MWAA micro environments for Apache Airflow

AWS Big Data

This offering is designed to provide an even more cost-effective solution for running Airflow environments in the cloud. micro characteristics, key benefits, ideal use cases, and how you can set up an Amazon MWAA environment based on this new environment class. micro reflect a balance between functionality and cost-effectiveness.

Metadata 106
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Your New Cloud for AI May Be Inside a Colo

CIO Business Intelligence

Enterprises moving their artificial intelligence projects into full scale development are discovering escalating costs based on initial infrastructure choices. Many companies whose AI model training infrastructure is not proximal to their data lake incur steeper costs as the data sets grow larger and AI models become more complex.

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3 musts when recruiting vendors for AI

CIO Business Intelligence

Two years of experimentation may have given rise to several valuable use cases for gen AI , but during the same period, IT leaders have also learned that the new, fast-evolving technology isnt something to jump into blindly. All the major software vendors are putting it into their products, he says. And if it does work, its all upside.

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