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(Intro 00:00:00) Companies leaping into AI without solid data foundations.

(00:01:12) Importance of conferences for connecting and learning.

(00:01:26) Christina emphasizes energy and storytelling at tech conferences.

(00:02:17) LinkedIn connections making conference experiences better.

(00:02:33) Christina’s background at Google and Waze.

(00:03:13) Analytics ascendancy model explained.

(00:04:10) Common issue of companies jumping into AI prematurely.

(00:05:38) Importance of sequential steps in the analytics journey.

(00:06:23) Christina’s ACE framework (Advise, Create, Educate).

(00:07:06) Roles of advising, creating content, and educating.

(00:08:22) Handling C-suite pressure regarding AI hype.

(00:09:07) Evaluating current capabilities and setting expectations.

(00:10:27) Common pitfalls in the analytics journey.

(00:12:20) Challenges and risks in advanced analytics.

(00:13:57) Regulation and risk in finance and healthcare.

(00:14:59) Responsibility for assessing risk and regulation.

(00:15:19) Cross-functional nature of risk assessment.

(00:16:12) Advice on continuing the analytics journey.

(00:16:44) Maintaining a positive mindset and continuous learning.

(00:18:27) Future role of AI in analytics.

(00:19:41) AI’s potential and limitations in turbocharging analytics.

(00:21:49) Christina’s personal analytics journey.

(00:22:27) From studying statistics to founding Dare to Data.

(00:25:33) Advice for aspiring data professionals.

(00:25:37) Importance of curiosity, learning, and communication skills.

(00:27:14) Being a translator between business and technology.

(00:27:49) Christina’s SQL courses on LinkedIn Learning.

(00:28:35) Future courses and learning opportunities.

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