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For founders who want to launch apps, ‘being non-technical is not a limitation’

TechCrunch

To get a look at how Intent tailors its approach to client needs and how the company helps clients get their products from inception to the market, we spoke with Wojciech Borkowski , its head of business development, and CTO Peter Tuszynski. How much of a limitation is that for launching an app?

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Our book “Software Architecture Metrics: Case Studies to Improve the Quality of Your Architecture” is published!

Apiumhub

He is a former practitioner of Agile methodologies, particularly extreme programming, with experience in practices like TDD, continuous integration, build pipelines, and evolutionary design. Before joining Thoughtworks, Neal was the chief technology officer at the DSW Group Ltd., Rene Weiss is a CTO at Finabro.

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Working With Legacy Code. Is it safe in Agile Environments?

Apiumhub

At this point, I suggest that you involve your Chief Technology Officer (CTO) or technical leaders to make this decision. Step 2: Prepare a continuous integration suite. Our tests should be executed after you commit to your continuous integration (CI) tool. – System seriously damaged.

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GSAS 2023: The Third Edition

Apiumhub

They believe that productive partnerships, collaboration, fast feedback, and small iterations are the best way to deliver successful software projects, using Agile methodologies and Extreme Programming practices, like Test-Driven Development, Simple Design, Pair-Programming, and Continuous Integration, in all our projects.

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A CIO’s first rule for automation: Have a clear business case

CIO

Priorities for CIOs Automating complex workflows will remain a CIO priority, says Petr Baudis, CTO and chief AI architect at London-based Rossum. We’ve implemented SAS’ AI/ML-based energy forecasting solution to improve our forecasting performance,” he says. million consumers.

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Kubernetes and Artificial Intelligence/Machine Learning (AI/ML) — Four Things to Understand Today

Blue Sentry

What types of technology fuel ML? Here are 5 things every CEO and CTO should understand about machine learning and AI. It’s an amazing technology, but it seems purpose-built for future problems — not today’s pesky woes. consumer goods, energy, healthcare, logistics, automotive, etc.) Kubernetes & ML.