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 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