Listen "Learn more about the Data & Analytics Practice at EPAM"
Episode Synopsis
Timestamps:
(00:00) – Intro, ‘This or that’ game
(02:00) – Overview of the data practice at EPAM
(07:50) – What’s data of great quality and how do you get it?
(10:05) – How does your team leverage AI technologies at EPAM, and what impact do they have on Data practice?
(11:25) – What are the
limitations of AI?
(14:15) – Recommendations for professionals looking to incorporate AI into their daily work
(17:30) – Recommendations on AI prompting
(19:15) – What are some misconceptions people have about data?
(22:45) – Key practices for executing data projects successfully
(27:45) – What key skills and qualifications do you look for in potential team members?
(31:15) – What are career growth opportunities within data practice?
(33:00) – Outro
(00:00) – Intro, ‘This or that’ game
(02:00) – Overview of the data practice at EPAM
(07:50) – What’s data of great quality and how do you get it?
(10:05) – How does your team leverage AI technologies at EPAM, and what impact do they have on Data practice?
(11:25) – What are the
limitations of AI?
(14:15) – Recommendations for professionals looking to incorporate AI into their daily work
(17:30) – Recommendations on AI prompting
(19:15) – What are some misconceptions people have about data?
(22:45) – Key practices for executing data projects successfully
(27:45) – What key skills and qualifications do you look for in potential team members?
(31:15) – What are career growth opportunities within data practice?
(33:00) – Outro
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