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The cloud computing revolution has brought a massive data tsunami.
Suddenly, companies were drowning in more data than they knew what to do with.Â
Data analysts became the lifeguards, using data visualization to make sense of "what happened" and "why."
But that was just the warm-up act.
Remember when machine learning started going mainstream?
It started being used in all sorts of consumer applications:
And while it wasn’t nearly the type of AI earthquake that came after more recent innovations like OpenAI/ChatGPT, it sure improved our lives!
Only one hiccup –Â
For companies that weren’t tech giants, implementing machine learning took serious effort and resources.
Not every business could just flip the switch.
With time, automated machine learning (AutoML) solutions have emerged.
No-code interfaces allowed non-technical domain experts to automate various processes like data analysis, model building, model retraining, and even employee enablement.
And even though these solutions offered a quick way for go-to-market teams to spin up models and tackle everyday challenges – gaps still remained.
That's where LLMs came into the picture, giving us unprecedented ability to:
When you take a predictive model and combine it with proprietary LLMs trained on the company’s data, you end up with what we call Predictive AI 2.0
Large language models (LLMs) are advanced AI models that can read and understand data almost like humans.Â
But LLMs are not exclusive to content writing. With LLMs trained on B2B data, Predictive AI can:
Pretty incredible stuff, right?
The smartest B2B revenue leaders are tapping into Predictive AI to gain a huge competitive edge:
1. Spot revenue opportunities in existing pipelines
2. Optimize sales strategies based on forward looking trends
3. Detect churn trends and product-usage changes
By leveraging Predictive AI 2.0, these leaders can steer their ships with data-driven decisions that actually move the revenue needle.
While others are still reacting to the past, the savviest leaders are using Predictive AI to create the future they want.
If cutting-edge technologies like this are being embraced, can you afford not to take a look?
Food for thought as you chart your own course.
