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 AI
- How companies can get started with the adoption of AI, including concrete strategies with real-world examples
- Steps to recognize AI opportunities that are most suitable for businesses
- The Five Pillars for AI Preparation: Data Readiness, Cultural Readiness, Skills Readiness, Infrastructure Readiness, Budget Readiness
- How to effectively implement AI solutions without hiring a team of data scientists, etc.
- What is and isn't appropriate to expect from AI
- The differences between software automation, robotic process automation (RPA), and AI
- Why the success of AI is a combination of model success, business success, and user success
- Examples of "Vanity AI" and why such pursuits are pointless
- Why Machine Learning (ML) is the core driver of business AI applications
- What a successful AI initiative looks like and how to ensure that AI models see more success than failure
- Why companies are slow to adopt AI even though the need and desire to do so is there
- The best way to reach out and find out more: kavita@opinosis.ai
