Welcome to episode 15 of AI Mentors, the podcast that helps you pave the way for a successful career in the world of Data Science and AI.
Powered by Alldus International the premium AI Workforce Solutions, our top consultant’s interview AI Leaders and Data Scientists from around the world about their personal journey to becoming a front-runner in AI. Guests offer practical advice to those interested in becoming a leader in Data Science.
In today’s episode, our guest is Alex Siegman, AI Technical Program Manager at Dow Jones in New York City. Alex is an experienced leader in AI and Machine Learning and he is focused on managing projects, products and people to successfully design, develop and deploy revenue-driving technologies.
In his role at Dow Jones, Alex leverages education, evangelism and design thinking techniques to empower every employee, team and department with the skills and resources necessary to properly utilize AI/ML. He also designs and launches AI driven projects across the organization and works with partner teams to identify and manage opportunities for new product development in the AI space.
In the show, Alex will share with you:
- How he became involved in a career in Artificial Intelligence
- Moving from Artificial Narrow Intelligence into Artificial General Intelligence
- How Dow Jones are leveraging AI within their organisation
- Advice on how to forge a career in AI and Data Science
- Transitioning into a Data Science career from a unique background
- What a great Data Scientist looks like
What were your key learns from Alex’s podcast? What takeaways did you gain from the show to help in your AI and Data Science aspirations? I would love to hear your thoughts so please leave a comment below.
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