Created with the intent of bringing the unheard stories of this big world of technology to the masses, 'Talent First' explores the narratives of leaders driving the tech world and sheds light upon the people behind the machines by putting talent ahead of everything else.
Futurense - Talent First
Claim This Podcastby Futurense
48 episodes
Updated Weekly
Accepts GuestsHas SponsorsLocation 🇺🇸
Podcast Overview
Created with the intent of bringing the unheard stories of this big world of technology to the masses, 'Talent First' explores the narratives of leaders driving the tech world and sheds light upon the people behind the machines by putting talent ahead of everything else.
Language
🇺🇲
Publishing Since
9/14/2022
2 verified contact emails on file for Futurense - Talent First
Pitch yourself as a guest, propose sponsorships, or reach out directly to the host.
Recent Episodes
April 24, 2024
Want to pursue MSBA in the US? ft. Sina Ansari,Vahap Uysal & Raghav Gupta
<p> Planning to pursue an MS in the USA? Look no further! In this episode of 'Talent First' by Futurense, we're excited to bring you a conversation with Vahap Uysal, Professor of Finance, and Sina Ansari, Co-Director of the Business Analytics Program at DePaul University. Our esteemed guests share their insights on eligibility for pursuing an MS in Business Analytics, the scope of a career in Business Analytics in the US, the benefits of studying at DePaul's Chicago campus, the AI wave, and building a career in business analytics among others. Rest assured, this podcast will help aspirants looking to study abroad and navigate their US Master's journey successfully. In this podcast, you'll get insights on: - Eligibility for pursuing an MS in Business Analytics in the US - Scope of a career in Business Analytics - Benefits of studying at DePaul's Chicago campus - DePaul University's alumni network - Career Advice for Business Analytics aspirants And more! So what are you waiting for? Tune in now! </p>
April 5, 2024
How to Land a Job at Amazon in 2024? | Talent First ft. Vishal Nagpal & Raghav Gupta
<p>Welcome to another exciting episode of Talent First! Join us in today's podcast for an insightful conversation with Vishal Nagpal, Data Science and Analytics Leader at Amazon, India. Vishal has extensive experience in building data science and analytics teams, driving data-backed decisions across digital, customer marketing, product/app, ad-tech, and operations. In this episode, he shares his insights on the intersection of tech giants like Amazon and Flipkart with emerging trends in AI and OTT platforms like Netflix and Jio Cinema. </p> <p>In today's episode, you'll gain insights on: </p> <p>Vishal's Career Journey</p> <p>Corporate Ecosystem - Before and After</p> <p>Evolution of Amazon</p> <p>Amazon’s upcoming AI models</p> <p>How to get hired by Amazon</p> <p>Vishal's journey at Amazon</p> <p>ESOPs & Compounding</p> <p>Work-life balance</p> <p>Indian OTT platforms</p> <p>Netflix's audience acquisition </p> <p>Why IPL is free on Jio Cinema</p> <p>Flipkart’s OTT plans</p> <p>Upcoming Technologies</p> <p>And so much more. So, tune in now!</p>
March 22, 2024
Why are so many CEO's Engineers? | Talent First ft. Pradeep Menon & Raghav Gupta
<p> </p> <p>Welcome back to yet another exciting episode of Talent First! In today's podcast, we are honoured to host Pradeep Menon, MD, and Head of HSBC Technology India. Join us as he walks us through his career challenges and accomplishments and the tenets that helped him succeed.</p> <p> </p> <p>In today's podcast, Pradeep will share some valuable insights on:</p> <ul> <li>His professional journey - from his first engineering role to being the Head of HSBC’s Technology centres in India</li> <li>How an MBA degree from IIT prepared him for leadership roles</li> <li>Why it is important to have an engineering mindset to lead technology organisations</li> <li>Why it is important to be both – a specialist and a generalist for a successful career</li> <li>Significance of work-life balance while navigating high-intensity roles</li> <li>Role of analytics in logistics and finance</li> <li>Benefits of networking and how to do it right</li> </ul> <p> </p> <p> </p>
48 total episodes available
Deep-dive analytics for Futurense - Talent First
Frequently asked questions
Have a different question and can't find the answer you're looking for? Reach out to our support team by sending us an email and we'll get back to you as soon as we can.
- What is Futurense - Talent First?
- How often does this podcast release new episodes?
This podcast updates weekly.
- Where can I listen to this podcast?
This podcast is available on 4 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.
- Does this podcast accept guests?
Yes, this podcast regularly features guests.
Legal Disclaimer
Pod Engine is not affiliated with, endorsed by, or officially connected with any of the podcasts displayed on this platform. We operate independently as a podcast discovery and analytics service.
All podcast artwork, thumbnails, and content displayed on this page are the property of their respective owners and are protected by applicable copyright laws. This includes, but is not limited to, podcast cover art, episode artwork, show descriptions, episode titles, transcripts, audio snippets, and any other content originating from the podcast creators or their licensors.
We display this content under fair use principles and/or implied license for the purpose of podcast discovery, information, and commentary. We make no claim of ownership over any podcast content, artwork, or related materials shown on this platform. All trademarks, service marks, and trade names are the property of their respective owners.
While we strive to ensure all content usage is properly authorized, if you are a rights holder and believe your content is being used inappropriately or without proper authorization, please contact us immediately at hey@podengine.ai for prompt review and appropriate action, which may include content removal or proper attribution.
By accessing and using this platform, you acknowledge and agree to respect all applicable copyright laws and intellectual property rights of content owners. Any unauthorized reproduction, distribution, or commercial use of the content displayed on this platform is strictly prohibited.