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.

Journeys to Democratize Data+AI

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by Sandeep Uttamchandani

4.0(2 reviews)

10 episodes

Updated Daily

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Podcast Overview

Organizations are data rich but information poor! To truly become data-driven, each episode covers the modernization journey of organizations across different verticals in making their Data+AI self-service. The podcast is hosted by Dr. Sandeep Uttamchandani -- an entrepreneur and O'Reilly book author of "The Self-service Data Roadmap." Our mission with this podcast is to share knowledge and experiences so the power of Data+AI can create a data-driven world providing equal opportunities for everyone!

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Publishing Since

9/20/2020

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Recent Episodes

December 11, 2021

Sandeep's Quicktake: Getting teams to not just look at wrong labels in ML data

Democratize is not one big strategy but 100s of small things that you put in place. Quicktake is a series of short practical tips to get you started towards making data and AI widely accessible and self-service within your organization. This tip covers an important myth: To improve model accuracy, start by verifying the correctness of labels. Typically, there is only a small percentage of miss predictions that are related to wrong labels. Often times the biggest reason for model inaccuracies is the poor quality of data samples. Train the team just that instead of jumping to fix the incorrect labels, start by analyzing a sample of results that were misclassified and make a judgment call on whether to invest in fixing the labels going back and looking at opus deposit useful.

December 11, 2021

Sandeep's Quicktake: How to handle misclassified predictions

Democratize is not one big strategy but 100s of small things that you put in place. Quicktake is a series of short practical tips to get you started towards making data and AI widely accessible and self-service within your organization. This tip covers 3 recipes on handling misclassified ML predictions within your product.

December 3, 2021

Journey to democratize AI for digital agriculture

In this episode, my guest is Daniel Mccaffery. Daniel is a technology thought leader driving Data and Analytics at Climate Corporation (a division of Bayer). Daniel shares his insights on using ML to provide personalized recommendations for helping farmers grow crops with higher yield, profitable and sustainability. This involves deciding the right seed, right crop protection, density levels across different parts of the farm, etc. This is a fascinating example of AI and physical sciences coming together to build an innovative product offering. Daniel and I had a blast covering several topics: the building of models, model deployment and re-training, explainability for farmers to understand the recommendations, managing bias, experimentation A/B testing, monitoring drifts, data labeling, and perspectives on key bottlenecks in going from idea to ROI.

10 total episodes available

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Frequently asked questions

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What is Journeys to Democratize Data+AI?: Organizations are data rich but information poor! To truly become data-driven, each episode covers the modernization journey of organizations across different verticals in making their Data+AI self-service. The podcast is hosted by Dr. Sandeep Uttamchandani -- an entrepreneur and O'Reilly book author of "The Self-service Data Roadmap."

Our mission with this podcast is to share knowledge and experiences so the power of Data+AI can create a data-driven world providing equal opportunities for everyone!
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.

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