It didn’t all change in March 2020. Not really. The UK high street has been in the throes of a gradual revolution for decades. From the rise of ecommerce, to the birth of mobile, social commerce, and a growing emphasis on experience, change has been underway for a while. In fact for many, the pandemic has acted as a wake-up call. Digital transformation was no longer a ‘nice to have’ but a matter of survival. Necessity sparked innovation and customers are enjoying more flexibility and conveni ...
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תוכן מסופק על ידי The EPAM Continuum Podcast Network and EPAM Continuum. כל תוכן הפודקאסטים כולל פרקים, גרפיקה ותיאורי פודקאסטים מועלים ומסופקים ישירות על ידי The EPAM Continuum Podcast Network and EPAM Continuum או שותף פלטפורמת הפודקאסט שלהם. אם אתה מאמין שמישהו משתמש ביצירה שלך המוגנת בזכויות יוצרים ללא רשותך, אתה יכול לעקוב אחר התהליך המתואר כאן https://he.player.fm/legal.
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Silo Busting 62 Human Testing and Generative AI with Tariq King and Ira Livshits
MP3•בית הפרקים
Manage episode 371517583 series 3215634
תוכן מסופק על ידי The EPAM Continuum Podcast Network and EPAM Continuum. כל תוכן הפודקאסטים כולל פרקים, גרפיקה ותיאורי פודקאסטים מועלים ומסופקים ישירות על ידי The EPAM Continuum Podcast Network and EPAM Continuum או שותף פלטפורמת הפודקאסט שלהם. אם אתה מאמין שמישהו משתמש ביצירה שלך המוגנת בזכויות יוצרים ללא רשותך, אתה יכול לעקוב אחר התהליך המתואר כאן https://he.player.fm/legal.
The era of generative AI needs humans… not just the data sets they create. Now and going forward, companies will need to depend on perceptive, intelligent, creative humans who can evaluate and, when necessary, stand up to the black box output AI throws at them. What kind of traits do such people embody? Where might we find them? What might they teach the rest of us? That’s what this episode of *Silo Busting* is all about. Tariq King, our VP and Head of Product-Service Systems, and Ira Livshits, Senior Data Scientist at EPAM, meet the test-based questions of Producer Ken Gordon with knowledge and aplomb. King, who spent much of his career hiring testers, says he looks for “the way that someone actually approaches solving problems and thinking perhaps in a different way or from a different perspective.” Livshits notes that with testing in generative AI, “sometimes there is no right or wrong” and that a tester will “have to act or decide based on his or her understanding of the field and maybe intuition.” In short, she says, testing has become much less of a black-and-white job. Together King and Livshits create a model conversation. They talk about how explainability fits in here, why musicians and liberal arts people make for good testers, the importance of being able to relate findings to a given audience (“[if] I have a PhD focused on machine learning, probably I can understand certain things in a different way than someone who may not have that degree,” says King), and how generative AI is bringing the role of testing closer to the fore. Go on, give it a test-listen. Host: Alison Kotin Engineer: Kyp Pilalas Producer: Ken Gordon
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162 פרקים
MP3•בית הפרקים
Manage episode 371517583 series 3215634
תוכן מסופק על ידי The EPAM Continuum Podcast Network and EPAM Continuum. כל תוכן הפודקאסטים כולל פרקים, גרפיקה ותיאורי פודקאסטים מועלים ומסופקים ישירות על ידי The EPAM Continuum Podcast Network and EPAM Continuum או שותף פלטפורמת הפודקאסט שלהם. אם אתה מאמין שמישהו משתמש ביצירה שלך המוגנת בזכויות יוצרים ללא רשותך, אתה יכול לעקוב אחר התהליך המתואר כאן https://he.player.fm/legal.
The era of generative AI needs humans… not just the data sets they create. Now and going forward, companies will need to depend on perceptive, intelligent, creative humans who can evaluate and, when necessary, stand up to the black box output AI throws at them. What kind of traits do such people embody? Where might we find them? What might they teach the rest of us? That’s what this episode of *Silo Busting* is all about. Tariq King, our VP and Head of Product-Service Systems, and Ira Livshits, Senior Data Scientist at EPAM, meet the test-based questions of Producer Ken Gordon with knowledge and aplomb. King, who spent much of his career hiring testers, says he looks for “the way that someone actually approaches solving problems and thinking perhaps in a different way or from a different perspective.” Livshits notes that with testing in generative AI, “sometimes there is no right or wrong” and that a tester will “have to act or decide based on his or her understanding of the field and maybe intuition.” In short, she says, testing has become much less of a black-and-white job. Together King and Livshits create a model conversation. They talk about how explainability fits in here, why musicians and liberal arts people make for good testers, the importance of being able to relate findings to a given audience (“[if] I have a PhD focused on machine learning, probably I can understand certain things in a different way than someone who may not have that degree,” says King), and how generative AI is bringing the role of testing closer to the fore. Go on, give it a test-listen. Host: Alison Kotin Engineer: Kyp Pilalas Producer: Ken Gordon
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162 פרקים
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