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Law firms are using AI-based machines to do the research that used to define the role of first-year lawyers.
Trading decisions for our retirement accounts are managed by algorithmic robots crunching through massive amounts of historical data and real-time market metrics.
What businesses in industry after industry have uncovered is this: Processes that have large amounts of data, a representative model, and a generally understood set of rules are candidates for automation. However, for the reasons cited by Colvin, those of us in the test industry would be wise to heed cross-industry applications of analytics and machine learning and begin staking out the proper role of the machine in our testing domain.
L0 manual testing is entirely in the mode of manual testing.
L1 scripted testing has a firmly entrenched culture of scripting regression suites. L2 and above exploratory bots, as well as human-directed, generative, and fully autonomous testing are for organizations that have started to move into the realm of automating their cognitive and complex tasks.
For an L1 test organization well-versed in a world of automation, whether it be scripting of regression tests or the automation of build and deployment processes, analytics and machine learning represent the next generation of automation.
While many of the tasks across our diverse test practices are similar, each of our jobs has unique challenges, so priority will be determined by the specifics of our organizational context. So your job, when the machines can do testing, is to figure out what tasks you want them to do for you.A revolutionary new brand that is simplified, spirited and grounded in value for guests with a zest for life and a desire for human connection.
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