Business case for AI with Kavita Ganesan

<p><a href="https://www.linkedin.com/in/kavita-ganesan/">Kavita Ganesan</a>, an AI strategist, advisor, and educator, spoke to <a href="https://www.rudolffalat.com/">Rudolf Falat</a>, founder of the <a href="https://www.voiceoffintech.com/">Voice of FinTech</a> podcast, about successfully implementing AI in business.</p><p>Here is what they covered:</p><ul> <li>Kavita's background and her journey to AI</li> <li>How companies can get started with the adoption of AI, including concrete strategies with real-world examples</li> <li>Steps to recognize AI opportunities that are most suitable for businesses</li> <li>The Five Pillars for AI Preparation: Data Readiness, Cultural Readiness, Skills Readiness, Infrastructure Readiness, Budget Readiness</li> <li>How to effectively implement AI solutions without hiring a team of data scientists, etc.</li> <li>What is and isn't appropriate to expect from AI</li> <li>The differences between software automation, robotic process automation (RPA), and AI</li> <li>Why the success of AI is a combination of model success, business success, and user success</li> <li>Examples of "Vanity AI" and why such pursuits are pointless</li> <li>Why Machine Learning (ML) is the core driver of business AI applications</li> <li>What a successful AI initiative looks like and how to ensure that AI models see more success than failure</li> <li>Why companies are slow to adopt AI even though the need and desire to do so is there</li> <li>The best way to reach out and find out more: kavita@opinosis.ai</li> </ul>