Business of AI
The talk will focus on the importance of clearly defining a specific problem and a use case, how to quantify the potential benefits of an AI solution in terms of measurable outcomes, evaluating technical feasibility in terms of technical challenges and limitations of implementing an AI solution, and envisioning the future of enterprise AI. Milica is an AI engineer and consultant driving the development and deployment of production-ready AI systems for diverse organizations. Her expertise spans custom machine learning, generative AI, and AI operationalization. With degrees in mathematics and statistics, she possesses a decade of experience in education and edtech, including curriculum design and machine learning instruction for technical and non-technical audiences. Prior to Google, Milica held a data scientist role in biotechnology and has a proven track record of advising startups, demonstrating a deep understanding of AI's practical application. Linkedin: https://www.linkedin.com/in/iammilica/ #computervision #ai #artificialintelligence #machinelearning #datascience 00:00 - Intro and Context 01:11 - Agenda Overview: Framing AI for Business 02:24 - Personal Background and AI Journey 04:50 - Living with Endometriosis and Workplace Awareness 06:46 - Mentorship Launch and Community Building 07:28 - Enterprise AI vs. Consumer AI 08:45 - Characteristics of Consumer AI 10:03 - Understanding AB Testing Across Domains 11:43 - Characteristics of Enterprise AI 13:08 - Why Explainability and Risk Matter in Enterprise 14:05 - AI Ideation Framework for Business Use Cases 16:01 - Mapping Value Chains and Business Processes 17:04 - Practical Scoping for Enterprise AI Projects 18:02 - Categorizing AI Use Cases: Automation, Prediction, Personalization 20:04 - Impact vs. Feasibility in AI Prioritization 20:23 - Estimating Cost Savings with AI Solutions 21:18 - Understanding Profit Margin with Real Examples 22:57 - Time Value of Money and AI Investment 25:25 - Net Present Value and AI ROI 28:46 - How AI Reduces Costs and Drives Growth 30:04 - Balancing Model Metrics with Business Impact 30:34 - Conclusion and Invitation to Connect