39 min

Measuring the Value of AI Solutions Data Bytes

    • Technology

Discussion on AI in Business


[00:01:00] Sadie introduces the main conversation topics.
[00:01:20] Cal shares his anticipation for future meetups.
[00:01:26] Discussion on the rapid developments in AI.
[00:02:03] Key indicators companies overlook when identifying AI opportunities.


[00:02:28] Cal elaborates on challenges and solutions in AI opportunity realization and measurement.
[00:03:41] Approaches to mapping out the value of AI projects.


[00:04:53] Sadie questions the average time to see benefits from AI implementation.
[00:05:52] Cal discusses AI implementation timelines and the importance of build vs. buy decisions.


[00:08:20] Discussion on successful integration of AI into workflows and overcoming adoption barriers.
[00:09:23] The role of AI literacy in preventing unintended consequences.


[00:13:08] Conversation shifts to responsible AI and baseline principles for ethical considerations.
[00:14:16] Cal emphasizes the comprehensive nature of responsible AI beyond ethics.


[00:20:33] Cal shares his journey to founding Panda Data and its acquisition.
[00:24:52] Discussion on navigating the challenges in highly regulated industries.
[00:27:41] Cal's personal motivations and overcoming obstacles.
[00:32:09] What's next for Cal at Further and the vision for AI auditing practice.


[00:36:14] Cal shares his personal goal of visiting 100 countries and its relevance to understanding AI and data science.




---

Support this podcast: https://podcasters.spotify.com/pod/show/women-in-data/support

Discussion on AI in Business


[00:01:00] Sadie introduces the main conversation topics.
[00:01:20] Cal shares his anticipation for future meetups.
[00:01:26] Discussion on the rapid developments in AI.
[00:02:03] Key indicators companies overlook when identifying AI opportunities.


[00:02:28] Cal elaborates on challenges and solutions in AI opportunity realization and measurement.
[00:03:41] Approaches to mapping out the value of AI projects.


[00:04:53] Sadie questions the average time to see benefits from AI implementation.
[00:05:52] Cal discusses AI implementation timelines and the importance of build vs. buy decisions.


[00:08:20] Discussion on successful integration of AI into workflows and overcoming adoption barriers.
[00:09:23] The role of AI literacy in preventing unintended consequences.


[00:13:08] Conversation shifts to responsible AI and baseline principles for ethical considerations.
[00:14:16] Cal emphasizes the comprehensive nature of responsible AI beyond ethics.


[00:20:33] Cal shares his journey to founding Panda Data and its acquisition.
[00:24:52] Discussion on navigating the challenges in highly regulated industries.
[00:27:41] Cal's personal motivations and overcoming obstacles.
[00:32:09] What's next for Cal at Further and the vision for AI auditing practice.


[00:36:14] Cal shares his personal goal of visiting 100 countries and its relevance to understanding AI and data science.




---

Support this podcast: https://podcasters.spotify.com/pod/show/women-in-data/support

39 min

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