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Have we reached the end of ‘too expensive’ for enterprise software?

CIO

GenAI as a standard component in enterprise software Companies need to recognize generative AI for what it is: a general-purpose technology that touches everything. It will become part of the standard software development stack, as well as an integral enabler of new or existing features.

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From project to product: Architecting the future of enterprise technology

CIO

For CIOs leading enterprise transformations, portfolio health isnt just an operational indicator its a real-time pulse on time-to-market and resilience in a digital-first economy. Understanding and tracking the right software delivery metrics is essential to inform strategic decisions that drive continuous improvement.

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GitHub Removes Data Barriers for EU Enterprises 

Xebia

On October 29, 2024, GitHub, the leading Copilot-powered developer platform, will launch GitHub Enterprise Cloud with data residency. This will enable enterprises to choose precisely where their data is stored — starting with the EU and expanding globally.

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When is data too clean to be useful for enterprise AI?

CIO

But along with siloed data and compliance concerns , poor data quality is holding back enterprise AI projects. So, before embarking on major data cleaning for enterprise AI, consider the downsides of making your data too clean. And while most executives generally trust their data, they also say less than two thirds of it is usable.

Data 211
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The Forrester Wave™: AI/ML Platforms: Vendor Strategy, Market Presence, and Capabilities Overview

As enterprises evolve their AI from pilot programs to an integral part of their tech strategy, the scope of AI expands from core data science teams to business, software development, enterprise architecture, and IT ops teams.

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6 technologists discuss how no-code tools are changing software development

TechCrunch

As we learned from our last survey of investors active in the space earlier this month , the technology democratizes access to modern software development, but there are still some kinks to iron out. As long as you have software, there will always be a need for people that are capable of engineering software from the ground up.

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Sleuth wants to use AI to measure software developer productivity

TechCrunch

The evidence is mixed on this, but in the software industry particularly, remote work exacerbated many of the challenges that employees already faced. “Developers, no longer in the same room, need a way to coordinate around deploys and a quick way to discover when a deploy has gone wrong.

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IDC Analyst Report: The Open Source Blind Spot Putting Businesses at Risk

In a recent study, IDC found that 64% of organizations said they were already using open source in software development with a further 25% planning to in the next year. Most organizations are unaware of just how much open-source code is used and underestimate their dependency on it.