🚀GenAI vs. Machine Learning: Cutting Through the Hype
🤖Generative AI (GenAI) is the hottest buzzword in business right now. Companies are racing to integrate it into their operations—but are they chasing the hype or solving real problems?
🎥In this video, Ben Hinson-Ekong breaks down the key differences between GenAI and Machine Learning (ML):
🔢ML excels at solving specific business problems like customer segmentation and predictive analytics.
🤖GenAI shines in automation, content creation, personalization, and powering customer interactions (e.g., chatbots and virtual assistants).
🤔Building a solid data science foundation is crucial before diving into GenAI. To illustrate, I share how I used RFM segmentation with K-Means clustering to help an e-commerce business identify high-value customers—and how GenAI can complement such solutions for long-term business value.
✨Key video takeaways:
➡️Why chasing GenAI without strategy is a costly mistake
➡️How GenAI and ML work together to create meaningful business impact
➡️The importance of systems thinkers who connect the dots between technology and strategy
👉 Watch the video to learn more. If you’re an executive or business leader curious about aligning advanced technologies with your goals, connect with Ben here: [ Ссылка ]
Chapter titles:
00:00 Introduction
00:12 ChatGPT making AI more accessible to general public
00:27 The AI Hype
01:02 AI Buzz vs Reality
01:52 The value of Machine Learning
02:14 How Generative AI can compliment Machine Learning
02:35 Example of GenAI and Machine Learning working together
03:35 Ben Hinson value proposition
03:43 Video summary proof of leadership
04:19 Invitation to connect
#GenerativeAI #ArtificialIntelligence #MachineLearning #DigitalTransformation #DataScience #hashtag #leadershipjourney
🎶 Music by Chromonicci
