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Before today’s generative AI caught fire in the tech world, predictive AI was all the rage. It aimed to give a sneak peek into the future by analyzing piles of data. Now, imagine stirring both these tech flavors into one epic mix. That’s exactly what Pecan AI is cooking up. This eight-year-old company isn’t new to the predictive scene, and with a hefty $116 million in their fundraising pot – $66 million freshly added in February 2022 – they’re turning up the heat.
The fresh-from-the-oven tool they’ve unveiled is called Predictive GenAI. Think of it as a power smoothie blending the best chunks of modern generative AI with the solid base of predictive machine learning. Here’s the inside scoop: even though we’ve witnessed a generative AI boom, it’s not really the go-to for making forecasts. That’s where Pecan AI’s magic comes in, tweaking generative AI’s raw talent to start shining in predictions too.
What’s the deal with making predictive AI user-friendly? Pecan AI has its eye on that prize. It’s no secret that in the past, AI platforms, especially the predictive kind, were like exclusive clubs for data scientists. Pecan AI’s game plan is to fling those doors wide open, making AI something that not just the tech-experts, but also the business-minded folks can buddy up with.
Diving deeper into Pecan AI’s toolbox, we’ve got a couple of shiny new features. First up, Predictive Chat. Picture this: a chatbot that’s not just chatty but can help you wrestle down those tough business problems with precision. Just type in your question, and the clever bot helps you pinpoint the right predictive framework to tackle it.
Then there’s the Predictive Notebook – it’s like getting a data science playbook written directly by generative AI. Fueled by Pecan AI’s very own SQL-based wizardry, it’s a step-by-step guide transforming your raw data into gold… I mean, an AI-sculpted format ready for predictive brilliance. It even lets the data-heads in you dabble with the code in SQL if you want to get your hands dirty.
Here’s a little secret about regular generative AI – it’s not that hot at making predictions. Sure, it can whip up chatbots, summarize stuff, and even draft reports, but when it comes to forecasting, not so much. The main hiccup? Its training data doesn’t come in a prediction-friendly format. Generative AI is at a bit of a loss when faced with the nitty-gritty of molding this raw data into a sleek, predictive model-ready design – usually, a job for the seasoned data scientist.
And don’t even get me started on vector databases. They kind of help, but they’re like bringing a knife to a gunfight – not quite enough for the complexity of true predictive modeling. You’re either stuck with overly simple models or, guess what, calling in a data scientist for a data-prep workout.
But fear not. Pecan AI isn’t stopping at chit-chat and coding shortcuts. They’re pushing the boundaries, patenting new ways to cut down on the grunt work of organizing and prepping data – think of it as the sous-chef in this AI kitchen. Improving prediction starts with cleaner data, avoiding mishaps like data leakage, where training info could sneak into the model and mess up its predictions.
Bottom line: Pecan AI is out here redefining the predictive game, blending the latest AI treats to serve up something that businesses can really sink their teeth into.