In this episode, I give an overview of my PiCAA Framework, which is a framework I shared at my keynote talk for Netguru’s annual conference, Burning Minds. This framework helps with brainstorming machine learning use cases or reverse engineering them, starting with the tactic. Throughout the episode, I give context to the preliminary types of work and preparation you and your team would want to do before implementing PiCAA, as well as the process and potential pitfalls you may run into, and the end results that make it a beneficial tool to experiment with. 
 
Highlights/ Skip to:
<ul><li style="font-weight:400;">Where/ how you might implement the PiCAA Framework (1:22)</li>
<li style="font-weight:400;">Focusing on the human part of your ideas (5:04)</li>
<li style="font-weight:400;">Keynote excerpt outlining the PiCAA Framework (7:28)</li>
<li style="font-weight:400;">Closing a PiCAA workshop by exploring what could go wrong (18:03)</li>
</ul>
Links
<ul><li style="font-weight:400;"><a href='https://designingforanalytics.com/resources/episodes/106-ideaflow-applying-the-practice-of-design-and-innovation-to-internal-data-products-w-jeremy-utley/'>Experiencing Data Episode 106 with Jeremy Utley</a></li>
<li style="font-weight:400;"><a href='https://designingforanalytics.com/thecommunity'>The Data Product Leadership Community</a></li>
<li style="font-weight:400;"><a href='https://designingforanalytics.com/podcast'>Ask me a question (below the recent episodes)</a></li>
</ul>

In this episode, I give an overview of my PiCAA Framework, which is a framework I shared at my keynote talk for Netguru’s annual conference, Burning Minds. This framework helps with brainstorming machine learning use cases or reverse engineering them, starting with the tactic. Throughout the episode, I give context to the preliminary types of work and preparation you and your team would want to do before implementing PiCAA, as well as the process and potential pitfalls you may run into, and the end results that make it a beneficial tool to experiment with. Highlights/ Skip to: Where/ how you might implement the PiCAA Framework (1:22) Focusing on the human part of your ideas (5:04) Keynote excerpt outlining the PiCAA Framework (7:28) Closing a PiCAA workshop by exploring what could go wrong (18:03) Links Experiencing Data Episode 106 with Jeremy Utley The Data Product Leadership Community Ask me a question (below the recent episodes)

In this episode, I give an overview of my PiCAA Framework, which is a framework I shared at my keynote talk for Netguru’s annual conference, Burning Minds. This framework helps with brainstorming machine learning use cases or reverse engineering them, starting with the tactic. Throughout the episode, I give context to the preliminary types of work and preparation you and your team would want to do before implementing PiCAA, as well as the process and potential pitfalls you may run into, and the end results that make it a beneficial tool to experiment with.&nbsp;
&nbsp;
Highlights/ Skip to:
<ul><li>Where/ how you might implement the PiCAA Framework (1:22)</li>
<li>Focusing on the human part of your ideas (5:04)</li>
<li>Keynote excerpt outlining the PiCAA Framework (7:28)</li>
<li>Closing a PiCAA workshop by exploring what could go wrong (18:03)</li>
</ul>
Links
<ul><li><a href="https://designingforanalytics.com/resources/episodes/106-ideaflow-applying-the-practice-of-design-and-innovation-to-internal-data-products-w-jeremy-utley/" rel="noopener noreferrer">Experiencing Data Episode 106 with Jeremy Utley</a></li>
<li><a href="https://designingforanalytics.com/thecommunity" rel="noopener noreferrer">The Data Product Leadership Community</a></li>
<li><a href="https://designingforanalytics.com/podcast" rel="noopener noreferrer">Ask me a question (below the recent episodes)</a></li>
</ul>

124 - The PiCAA Framework: My Method to Generate ML/AI Use Cases from a UX Perspective

Is the value of your enterprise analytics SAAS or AI product not obvious through it’s UI/UX? Got the data and ML models right...but user adoption of your dashboards and UI isn’t what you hoped it would be?

While it is easier than ever to create AI and analytics solutions from a technology perspective, do you find as a founder or product leader that getting users to use and buyers to buy seems harder than it should be?

If you lead an internal enterprise data team, have you heard that a ”data product” approach can help—but you’re concerned it’s all hype?

My name is Brian T. O’Neill, and on Experiencing Data—one of the top 2% of podcasts in the world—I share the stories of leaders who are leveraging product and UX design to make SAAS analytics, AI applications, and internal data products indispensable to their customers. After all, you can’t create business value with data if the humans in the loop can’t or won’t use your solutions.

Every 2 weeks, I release interviews with experts and impressive people I’ve met who are doing interesting work at the intersection of enterprise software product management, UX design, AI and analytics—work that you need to hear about and from whom I hope you can borrow strategies.

I also occasionally record solo episodes on applying UI/UX design strategies to data products—so you and your team can unlock financial value by making your users’ and customers’ lives better.

Hashtag: #ExperiencingData. 

JOIN MY INSIGHTS LIST FOR 1-PAGE EPISODE SUMMARIES, TRANSCRIPTS, AND FREE UX STRATEGY TIPS
https://designingforanalytics.com/ed

ABOUT THE HOST, BRIAN T. O’NEILL:
https://designingforanalytics.com/bio/

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Technology

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Is the value of your enterprise analytics SAAS or AI product not obvious through it’s UI/UX? Got the data and ML models right...but user adoption of your dashboards and UI isn’t what you hoped it would be? While it is easier than ever to create AI and analytics solutions from a technology perspective, do you find as a founder or product leader that getting users to use and buyers to buy seems harder than it should be? If you lead an internal enterprise data team, have you heard that a ”data product” approach can help—but you’re concerned it’s all hype? My name is Brian T. O’Neill, and on Experiencing Data—one of the top 2% of podcasts in the world—I share the stories of leaders who are leveraging product and UX design to make SAAS analytics, AI applications, and internal data products indispensable to their customers. After all, you can’t create business value with data if the humans in the loop can’t or won’t use your solutions. Every 2 weeks, I release interviews with experts and impressive people I’ve met who are doing interesting work at the intersection of enterprise software product management, UX design, AI and analytics—work that you need to hear about and from whom I hope you can borrow strategies. I also occasionally record solo episodes on applying UI/UX design strategies to data products—so you and your team can unlock financial value by making your users’ and customers’ lives better. Hashtag: #ExperiencingData. JOIN MY INSIGHTS LIST FOR 1-PAGE EPISODE SUMMARIES, TRANSCRIPTS, AND FREE UX STRATEGY TIPS https://designingforanalytics.com/ed ABOUT THE HOST, BRIAN T. O’NEILL: https://designingforanalytics.com/bio/

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124 - The PiCAA Framework: My Method to Generate ML/AI Use Cases from a UX Perspective

124 - The PiCAA Framework: My Method to Generate ML/AI Use Cases from a UX Perspective

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