20. Friendship & Career Growth - A Talk With Surekha Reddy (Cognogent) & Aruna Nadesan (Exponential AI)

Women in Big Data Podcast: Career, Big Data & Analytics Insights

Listen and get insights into Friendship & Career Growth in this talk with Surekha Reddy and Aruna Nadesan. Surekha is the Founder & Chief Product and Technology Officer at Cognogent, an AI Start-up streamlining complex RFP processes through AI-driven solutions. Aruna is the Chief Product Officer at Exponential AI, a Healthcare AI Platform Company that helps Health Enterprises build smarter processes.

In this episode of the Women in Big Data Podcast, we explore the significance of Friendship & Career Growth. Tune in to discover how this can enhance your professional and personal journey.

"Be growth mates. If you look around, you might have that one friend who is in the same industry, or following that industry, or in that space, for example. And you know, be there for each other, not only to help intellectually, but also create opportunities for growth and learn from each other. This is my advice to everyone: always look for how you can become good growth mates with your friends." - Aruna Nadesan

• 01:27 - The start of Surekha's & Aruna's friendship
• 03:40 - Constructive feedback in friendship
• 08:00 - Insights gained from friendship
• 08:52 - Friendship & Career Growth: the one thing you really need to know
• 10:03 - Who's a woman in big data that you admire and why?
• 11:34 - What is the best career advice you have ever got?
• 13:48 - What three ingredients go into your successful career recipe?

Guest Info

• LinkedIn: Surekha Reddy
• LinkedIn: Aruna Nadesan

Resources

• Linkedin: Cognogent
• LinkedIn: Exponential AI
• Website: Cognogent
• Website: Exponential AI

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챕터

1. Intro (00:00:00)

2. The start of Surekha's & Aruna's friendship (00:01:27)

3. Constructive feedback in friendship (00:03:40)

4. Insights gained from friendship (00:08:00)

5. Friendship & Career Growth: the one thing you really need to know (00:08:52)

6. Who's a woman in big data that you admire and why? (00:10:03)

7. What is the best career advice you have ever got? (00:11:34)

8. What three ingredients go into your successful career recipe? (00:13:48)

9. Outro (00:16:13)