{"id":1609,"date":"2019-04-02T03:06:26","date_gmt":"2019-04-02T03:06:26","guid":{"rendered":"http:\/\/kusuaks7\/?p=1214"},"modified":"2023-08-25T14:39:24","modified_gmt":"2023-08-25T14:39:24","slug":"the-role-of-a-modern-tester-in-the-era-of-machine-learning-ml-and-artificial-intelligence-ai","status":"publish","type":"post","link":"https:\/\/www.experfy.com\/blog\/bigdata-cloud\/the-role-of-a-modern-tester-in-the-era-of-machine-learning-ml-and-artificial-intelligence-ai\/","title":{"rendered":"The Role of a Modern-Tester in The Era of Machine Learning (ML) and Artificial Intelligence (AI)"},"content":{"rendered":"

We keep hearing about new solutions for test automation and\u00a0continuous testing<\/a>. Such solutions aim to increase the test automation authoring as well as the maintenance associated with these tests as the product evolves.<\/p>\n

With this trend, many software quality engineers, SDET, and test automation architects are asking themselves whether their job is at risk, and what\u2019s the future holds for them?<\/p>\n

Prior to answering these questions, and re-profiling the modern testers role, let\u2019s examine the terms ML\/AI, the algorithms behind these tools, as well as the tools landscape as of today.<\/p>\n

Artificial Intelligence<\/h2>\n

Artificial Intelligence<\/b>: Sometimes called\u00a0machine intelligence<\/b>, is\u00a0intelligence\u00a0demonstrated by\u00a0machines, in contrast to the\u00a0natural intelligence<\/b>\u00a0displayed by humans and other animals. In\u00a0computer science\u00a0AI research is defined as the study of \u201cintelligent agents\u201d: any device that perceives its environment and takes actions that maximize its chance of successfully achieving its goals. The term \u201cartificial intelligence\u201d is applied when a machine mimics \u201ccognitive\u201d functions that humans associate with other\u00a0human minds, such as \u201clearning\u201d and \u201cproblem solving\u201d.<\/p>\n

Machine Learning<\/h2>\n

Machine Learning<\/b>: Is a subset of\u00a0artificial intelligence\u00a0in the field of\u00a0computer science\u00a0that often uses statistical techniques to give\u00a0computers\u00a0the ability to \u201clearn\u201d (i.e., progressively improve performance on a specific task) with\u00a0data, without being explicitly programmed. In a recent blog post from\u00a0Mabl<\/a>, ML was also defined as \u201cMachine learning is the process of continuously presenting a machine with a well defined data sample so that behavior can be developed<\/strong>\u201c<\/em><\/p>\n

Common Methods for Developing ML\/AI<\/p>\n