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10 Game-Changing Insights from Running Global Data & AI Automation Projects

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Content provided by Jeremy Roberts and Sameer Khan, Jeremy Roberts, and Sameer Khan. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Jeremy Roberts and Sameer Khan, Jeremy Roberts, and Sameer Khan or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

🎙️ New Podcast Episode Alert! 🎙️

In this week's episode, we're diving deep into the world of running large scale AI automation and Data projects. Join us as we explore 10 crucial lessons for successful project delivery. From managing timelines to tackling scope creep and integration challenges, we've got you covered!

🔵 Don't commit to a set-in stone delivery timeline
🔵 Watch out for project scope creep
🔵 Be very skeptical of integration between new vendors with existing systems
🔵 Business must commit resources to align on expectations
🔵 Garbage in is garbage out
🔵 Change management will make or break your project
🔵 Inadequate testing can lead to operational issues
🔵 Don't rely on limited stakeholders
🔵 Keep an eye on unexpected expenses
🔵 Performance bottlenecks will reduce scalability

Tune in and gain insights to ensure your projects are on track for success. Don't miss out, hit that play button and level up your project management skills! 💼📈 #AIautomation #Chatgpt #ProjectManagement #TechIntegration #PodcastEpisode

Support the show

Follow us on Twitter @sameerkhan or @jeremyaroberts or leave us a review on iTunes: https://podcasts.apple.com/us/podcast/analyticstoday-podcast/id1044308732

Subscribe to our free AI to ROI newsletter

Consult with us

www.analyticstodaypodcast.com

  continue reading

88 episodes

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iconShare
 

Fetch error

Hmmm there seems to be a problem fetching this series right now. Last successful fetch was on November 28, 2025 23:36 (14d ago)

What now? This series will be checked again in the next day. If you believe it should be working, please verify the publisher's feed link below is valid and includes actual episode links. You can contact support to request the feed be immediately fetched.

Manage episode 382079756 series 2907196
Content provided by Jeremy Roberts and Sameer Khan, Jeremy Roberts, and Sameer Khan. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Jeremy Roberts and Sameer Khan, Jeremy Roberts, and Sameer Khan or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

🎙️ New Podcast Episode Alert! 🎙️

In this week's episode, we're diving deep into the world of running large scale AI automation and Data projects. Join us as we explore 10 crucial lessons for successful project delivery. From managing timelines to tackling scope creep and integration challenges, we've got you covered!

🔵 Don't commit to a set-in stone delivery timeline
🔵 Watch out for project scope creep
🔵 Be very skeptical of integration between new vendors with existing systems
🔵 Business must commit resources to align on expectations
🔵 Garbage in is garbage out
🔵 Change management will make or break your project
🔵 Inadequate testing can lead to operational issues
🔵 Don't rely on limited stakeholders
🔵 Keep an eye on unexpected expenses
🔵 Performance bottlenecks will reduce scalability

Tune in and gain insights to ensure your projects are on track for success. Don't miss out, hit that play button and level up your project management skills! 💼📈 #AIautomation #Chatgpt #ProjectManagement #TechIntegration #PodcastEpisode

Support the show

Follow us on Twitter @sameerkhan or @jeremyaroberts or leave us a review on iTunes: https://podcasts.apple.com/us/podcast/analyticstoday-podcast/id1044308732

Subscribe to our free AI to ROI newsletter

Consult with us

www.analyticstodaypodcast.com

  continue reading

88 episodes

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