Over the past year, I’ve discussed AI’s impact on how organizations and CMOs should think about growth. While I use AI in several talks and have had the opportunity to help firms turn AI into revenue, I wanted to understand how AI works.
So, about six months ago, I began prepping for the four-month MIT AI No-code course I’m taking. About two-thirds of the way through, I’m learning about clustering, machine learning, neural networks, and GenAI and how they work.
The insights are impactful about how AI will change the way we work and think in significant ways:
Democratizing Knowledge
We know the introduction of GenAI has put AI within reach because you’re inputting a prompt, and the ChatGPT or your favorite LLM generates new information to assess and use. No-code goes deeper and puts the power of building models into your team’s hands to solve the challenges your firm is specifically grappling with, whether understanding the sentiment of churning customers or determining what leads to cancellations.
Information Gain
In AI, information gain will drive decision-making in unexpected ways. In AI, information gain is a term used to describe the feature that will provide the most information to begin the design of the decision tree. This allows AI to become an accelerant in dictating how your company pivots because your firm has the insights to harness and uncover product-market fit or customer-product fit and predict which customers are the right fit.
Firms that use AI to understand their data will move at lightning speed because they can invest in productive activities and eliminate ones that don’t work. Firms that don’t embrace AI will continue to fly blind and be left behind.
Customer-centricity and Personalization
Customer-centricity and personalization are taking center stage. When you deeply understand your customers’ sentiments about your products, services, and operating methods, the need to integrate the pre- and post-sales process, often called the bowtie, is greater. Now, you’re seeing the world from the customer’s perspective.
These insights will allow you to build a deeper customer layer or relationships throughout the customer journey. The insights will also give sales, marketing, and customer success teams data on how to pivot for each customer, enabling them to personalize the customer experience for each customer. We know that when customers feel seen and heard, they buy.
AI isn’t something to be afraid of. It’s to be embraced. No-code AI is changing how I think about insights and what’s possible when you leverage different data types and AI methods because it’s more than just GenAI.
If you want to learn more about my journey, watch this space and connect with me. I’d also like to hear more about your AI journey.
