DZone
MAY 3, 2019
And software testing is being forced to be reinvented every day due to the introduction of new technologies like artificial intelligence, virtualization, and predictive analysis. In 2019, we are expecting a lot of new changes in the web and this further poses a challenge in the testing cycle.
O'Reilly
FEBRUARY 18, 2020
This year’s growth in Python usage was buoyed by its increasing popularity among data scientists and machine learning (ML) and artificial intelligence (AI) engineers. Also: infrastructure and operations is trending up, while DevOps is trending down. Software architecture, infrastructure, and operations are each changing rapidly.
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O'Reilly
MARCH 2, 2020
The most important is discovering how to work with data science and artificial intelligence projects. This year’s growth in Python usage was buoyed by its increasing popularity among data scientists and machine learning (ML) and artificial intelligence (AI) engineers. Coincidence?
Testsigma
FEBRUARY 12, 2021
Are you aware that the scale of the app testing industry in 2019 was over USD$ 40 billion? In 2019, we had previously projected the demand for IoT research at $781.96billion. 38% of organisations were expected to introduce machine-learning initiatives in 2019, according to the Capgemini World Efficiency survey. Hyperautomation.
Testsigma
DECEMBER 8, 2019
DevOps has been around for about a decade now and has become a crucial automation process that enables organizations to deploy changes to a system in production quickly and efficiently. To make sure quality is maintained between all these deployments, continuous testing is now being fused with DevOps giving birth to DevTestOps.
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