Automate manual, data-centric workflows with humans in the loop within clicks.
![Podcast thumbnail for Data, Operations, AI, and People [DOAP]](https://pod-engine-public.nyc3.cdn.digitaloceanspaces.com/images/rFIBANsxRUsM9azgk9ptutnQPumtMUwikzDwY75ZfB.png)
Data, Operations, AI, and People [DOAP]
Claim This Podcastby Ikigai Labs
2 episodes
Updated Daily
Accepts GuestsHas Sponsors
Podcast Overview
Automate manual, data-centric workflows with humans in the loop within clicks.
Language
🇺🇲
Publishing Since
1/17/2022
1 verified contact email on file for Data, Operations, AI, and People [DOAP]
Pitch yourself as a guest, propose sponsorships, or reach out directly to the host.
Recent Episodes
February 18, 2022
Episode 2: Munther Dahleh - Data, Decisions, Society, and Education
In Episode 2 of Data, Operations, AI, and People [DOAP], Devavrat Shah, Ikigai Labs’ CTO and co-founder, chats with Munther Dahleh—the founding director of IDSS at MIT. Together, they discuss IDSS and the role of data, data in organizations, and the role of education in creating data-enabled decision makers. Curious about seeing low-code tools in action? Read more here: https://ikigailabs.medium.com/we-know-how-much-money-you-lost-in-sales-this-year-3d1b1157c94e
January 17, 2022
Episode 1: Ashu Garg
In the inaugural episode of Data, Operations, AI, and People [DOAP], Vinayak Ramesh, Ikigai Labs’ CEO and co-founder, chats with Ashu Garg—the GP at Foundation Capital as well as an Ikigai Lab investor and board member. Together, they discuss a brief history of AI applications, the current landscape of enterprise AI, and exactly how you can utilize Ikigai as a tool today to empower your existing employees to transform your business. Curious about data operators? Read more here: https://ikigailabs.medium.com/data-operators-a9718d44201e Episode Transcription: https://medium.com/@ikigailabs/data-operations-ai-and-people-doap-podcast-97715bcd7854
2 total episodes available
Deep-dive analytics for Data, Operations, AI, and People [DOAP]
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 Data, Operations, AI, and People [DOAP]?
- How often does this podcast release new episodes?
This podcast updates daily.
- 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.