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AI and Machine Learning Need Quality Assurance

Information Week

Artificial intelligence and machine learning are not “set and forget” technologies. They need quality assurance to operate, and continue to operate, as intended.

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Quality Assurance (QA) In The Context of AI

CTOvision

Quality Assurance (QA) is such a core part of any technology or business delivery that […]. Everyone who has ever worked on a software project knows that you don’t just simply put code and content out to your customers, employees, or stakeholders without first testing it to make sure it’s not broken or dead on delivery.

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10-year forecast shows growth in network architect jobs while sysadmin roles shrink

Network World

The growth of computer and mathematical occupations is expected to stem from demand for upgraded computer services, continued development of artificial intelligence (AI) solutions, and an increasing amount of data available for analysis,” the BLS stated. “In In addition, the number and severity of cyberattacks and data breaches on U.S.

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5 dead-end IT skills — and how to avoid becoming obsolete

CIO Business Intelligence

That means IT veterans are now expected to support their organization’s strategies to embrace artificial intelligence, advanced cybersecurity methods, and automation to get ahead and stay ahead in their careers. In software development today, automated testing is already well established and accelerating.

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Certivo, a new PSL spinout led by Seattle tech vet, brings AI to compliance management

GeekWire

Certivo Photos) Longtime Seattle tech leader Kunal Chopra is heading up a new spinout from Pioneer Square Labs called Certivo , which is using artificial intelligence to rethink compliance management. The software can also handle ethical sourcing, supply chain traceability, quality assurance, and sustainability frameworks.

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AI for Decision-Makers: How to Win Trust from the Outset

CIO Business Intelligence

In business, data science and artificial intelligence are usually geared towards powerful efficiencies and growth. This includes ensuring any analytical conclusions are not only built on extensive data, but also run through a rigorous quality assurance process. Artificial Intelligence, Machine Learning

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12 AI predictions for 2025

CIO Business Intelligence

He expects the same to happen in all areas of software development, starting with user requirements research through project management and all the way to testing and quality assurance. Weve seen so many reference implementations, and weve done so many reference implementations, that were going to see massive adoption.

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