Listen "Innovation and Data Science Leadership"
Episode Synopsis
(00:01:02) Role and responsibilities explained(00:01:39) AI impact on analytics maturity(00:02:17) Analytics maturity study findings(00:03:01) Reflections on industry progress(00:03:39) Leadership gaps and silos(00:04:27) Breaking down organizational silos(00:04:53) Accessibility in data tools(00:05:24) Data tools transforming organizations(00:05:55) Growing demand for data insights(00:06:47) Value of data science roles(00:07:04) Opportunities and challenges in analytics(00:07:56) Workflow automation in practice(00:08:15) Empowering subject matter experts(00:09:54) Automating insights delivery explained(00:11:04) Automation examples in finance(00:11:49) Workflow automation benefits highlighted(00:12:12) Leadership strategies across industries(00:13:03) Helping people realize potential(00:14:11) Overcoming self-limiting beliefs(00:15:19) Leadership advice for contributors(00:16:06) Creating internal user groups(00:17:11) Demonstrating leadership opportunities(00:18:24) Practical ways to show leadership(00:19:32) Recognizing strengths in others(00:20:27) Lessons on articulating value(00:23:02) Asking “why” to find impact
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