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{"id":15651,"date":"2020-10-26T19:46:07","date_gmt":"2020-10-26T14:46:07","guid":{"rendered":"http:\/\/quality-spectrum.com\/?p=15651"},"modified":"2020-10-26T21:39:29","modified_gmt":"2020-10-26T16:39:29","slug":"testing-ai-products","status":"publish","type":"post","link":"http:\/\/quality-spectrum.com\/testing-ai-products\/","title":{"rendered":"Testing AI products"},"content":{"rendered":"

How would you go about testing an AI product? Join me at\u00a0QA&TEST Conferences<\/a>\u00a0where we will debate the topic on Oct 30.<\/p>\n

I’ve been fortunate to work on that problem a few times in past years, in my experience this is not a straight forward answer..<\/p>\n

Biggest reason for me – it’s not easy to establish clear oracles (I didn’t use the word requirements..) which creates a complete new dynamics to test these products.<\/p>\n

The test objectives of these systems are therefore going to be a bit different, and wouldn’t be just about testing the actual model,<\/p>\n

I’d stretch it from the beginning – ‘capturing of data’ and then take to the other extreme – ‘is the model predictions good enough’ – not an easy answer to give, but worth investigating.<\/p>\n<\/div>

<\/div><\/div><\/div><\/div><\/div>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":3,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[52],"tags":[],"yoast_head":"\nTesting AI products - Quality Spectrum<\/title>\n<meta name=\"robots\" content=\"index, follow\" \/>\n<meta name=\"googlebot\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<meta name=\"bingbot\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"http:\/\/quality-spectrum.com\/testing-ai-products\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Testing AI products - Quality Spectrum\" \/>\n<meta property=\"og:url\" content=\"http:\/\/quality-spectrum.com\/testing-ai-products\/\" \/>\n<meta property=\"og:site_name\" content=\"Quality Spectrum\" \/>\n<meta property=\"article:published_time\" content=\"2020-10-26T14:46:07+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2020-10-26T16:39:29+00:00\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@aali_khalid\" \/>\n<meta name=\"twitter:site\" content=\"@aali_khalid\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Organization\",\"@id\":\"http:\/\/quality-spectrum.com\/#organization\",\"name\":\"Quality Spectrum\",\"url\":\"http:\/\/quality-spectrum.com\/\",\"sameAs\":[\"https:\/\/www.linkedin.com\/in\/alikhalid\/\",\"https:\/\/www.youtube.com\/c\/QualitySpectrum\",\"https:\/\/twitter.com\/aali_khalid\"],\"logo\":{\"@type\":\"ImageObject\",\"@id\":\"http:\/\/quality-spectrum.com\/#logo\",\"inLanguage\":\"en-US\",\"url\":\"http:\/\/quality-spectrum.com\/wp-content\/uploads\/2019\/11\/QS-logo-mobile-e1574510459832.png\",\"width\":40,\"height\":40,\"caption\":\"Quality Spectrum\"},\"image\":{\"@id\":\"http:\/\/quality-spectrum.com\/#logo\"}},{\"@type\":\"WebSite\",\"@id\":\"http:\/\/quality-spectrum.com\/#website\",\"url\":\"http:\/\/quality-spectrum.com\/\",\"name\":\"Quality Spectrum\",\"description\":\"Redefining software quality\",\"publisher\":{\"@id\":\"http:\/\/quality-spectrum.com\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":\"http:\/\/quality-spectrum.com\/?s={search_term_string}\",\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"en-US\"},{\"@type\":\"WebPage\",\"@id\":\"http:\/\/quality-spectrum.com\/testing-ai-products\/#webpage\",\"url\":\"http:\/\/quality-spectrum.com\/testing-ai-products\/\",\"name\":\"Testing AI products - 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