Is AI Going To Take Your Job? : Hear it From Data Science Expert | Intellipaat Podcast - 01
91Welcome to the first episode of the Intellipaat Podcast. In this episode, we dive deep into the intriguing question: "Is AI Going to Take Your Job?" Our guest, Mr. Srinath Sivalenka, an accomplished Lead Data Scientist at AB InBev and formerly associated with Microsoft, shares his expertise and insights on this critical topic.
Mr. Srinath has worked around Generative AI projects, so through this conversation, you will gain a clear understanding of what generative AI truly signifies and how it's shaping the landscape of industries. Besides that, we will also conversate about various aspects of AI, including Deep Learning, Machine Learning, Explainable AI, and Edge AI. If you're new to the field of data science and wondering how to embark on a career journey, this podcast episode has got you covered.
So, to learn more about AI, and have an initial context about how to set out for your data science journey stay tuned until the end of this video.
#GenerativeAI #DataSceinceForBeginners #Podcast #ExplainableAI #EdgeAI #DataScienceRoadmap #GenerativeAIPodcast #Intellipaat #IntellipaatPodcast
🔵 The areas of conversation are highlighted below:
0:00 - Highlights of the Podcast
0:52 - Introduction
2:08 - How has your journey been in Data Science?
4:40 - What challenges did you encounter while starting your career in Data Science?
7:40 - Programming can prove to be a challenge for many. So, what key areas should one focus on and then build upon to become a data scientist?
11:35 - What is generative AI?
16:35 - What is this emerging term 'Explainable AI' all about? And what problem does it address?
20:36 - What tasks do data scientists have to perform on a daily basis?
24:09 - What parameters make it easier for a beginner data scientist to enter the service industry?
28:57 - Tell us more about the data science problems and projects you have taken on?
33:42- Is it important to have critical knowledge about businesses to solve data science problems?
35:40 - Are organizations expecting candidates to have MLOps expertise?
38:50 - What is Edge AI?
44:18 - What will be your advice to all of our aspiring data scientists out there?
46:32 - Which one would you choose: Pytorch or Tensorflow?
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