Business case for AI with Kavita Ganesan

Kavita Ganesan, an AI strategist, advisor, and educator, spoke to Rudolf Falat, founder of the Voice of FinTech podcast, about successfully implementing AI in business.

Here is what they covered:

Kavita's background and her journey to AIHow companies can get started with the adoption of AI, including concrete strategies with real-world examplesSteps to recognize AI opportunities that are most suitable for businessesThe Five Pillars for AI Preparation: Data Readiness, Cultural Readiness, Skills Readiness, Infrastructure Readiness, Budget ReadinessHow to effectively implement AI solutions without hiring a team of data scientists, etc.What is and isn't appropriate to expect from AIThe differences between software automation, robotic process automation (RPA), and AIWhy the success of AI is a combination of model success, business success, and user successExamples of "Vanity AI" and why such pursuits are pointlessWhy Machine Learning (ML) is the core driver of business AI applicationsWhat a successful AI initiative looks like and how to ensure that AI models see more success than failureWhy companies are slow to adopt AI even though the need and desire to do so is thereThe best way to reach out and find out more: [email protected]