As a Data Bytes Listener, you get an exclusive discount for WiD Pro Membership. Join here (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. --- Support this podcast: https://podcasters.spotify.com/pod/show/women-in-data/support