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Salted caramel. Yin and yang. Rock And Roll. Predictive ai and generative ai. They are all combinations that have a greater impact when together than alone. And today we are here to explore that last combination: ai/predictive-modeling-lp/?utm_medium=partner_affiliate&utm_source=kdnuggets&utm_motion=selfserve&utm_campaign=kdnuggets_jan2024&utm_content=power+up” rel=”noopener” target=”_blank”>Pecan Predictive GenAI. What is it and how will it change your experience with ai?
Let's explore the capabilities of Predictive GenAI and discover how it improves the accessibility, efficiency, and impact of using predictive analytics in your business.
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Definition of Predictive GenAI
What does predictive GenAI mean?
Pecan's Predictive GenAI combines predictive ai and generative ai. Predictive GenAI uses generative ai methods to support the predictive modeling process, including defining the necessary model, generating an initial framework, and offering guidance for fine-tuning the model.
Predictive modeling refers to traditional machine learning methods that acquire information from training data and then use that analysis to make predictions with new data.
Consider a customer churn prediction model as an example. By analyzing historical customer data, machine learning algorithms can identify behavioral patterns that often lead to customer churn. The model can then examine current customer data to detect those same patterns, identifying people at risk of churn in the future.
Pecan ai has successfully helped many clients tackle that modeling task over the years. (These pioneers are gaining a competitive advantage, outpacing the 61% of CEOs who haven't even begun to explore predictive ai, according to McKinsey.)
While predicting customer churn is a commonly discussed use case for predictive analytics, even this example of predictive ai presents challenges. Even seasoned professionals can find it puzzling to choose the optimal approach, and something seemingly as basic as defining “churn” from a particular business can lead to disagreements. The process of gathering requirements, establishing a shared understanding with the business, and manually coding to meet specific needs can be time-consuming, requires specialized technical expertise, and carries a degree of risk.
As you can imagine, tackling predictive tasks in more specific industries or departments can be even more difficult. What if instead of predicting customer churn, you wanted to predict:
- Which of your city's fleet of garbage trucks will break down in the next month, based on their service and mileage records?
- The time it will take for a food delivery to arrive at your home based on weather, traffic, and restaurant selection.
- The likely winner of wrestling competitions, given information about past competitions and the physical characteristics of the contestants.
These may be less common predictive tasks, but they could be incredibly useful for those who need to know those answers. However, it is unlikely that you will find a pre-built tool that helps you create predictive models for these questions. As far as we know, there is currently no “wrestling contest prediction software solution” available on the market (but hey, there is a free starter idea for you).
So, whether you have a common business challenge like attrition or a very specific problem, you face an uphill battle in building a predictive model to help solve it. Your options may seem limited: do you need to manually code a solution? Hire a team of data scientists to take on the task and prepare to wait six months to a year for a model that may or may not meet your real needs?
No. Because Predictive GenAI is now here to help you achieve your predictive modeling goals, without needing to dive into coding or statistics. With Predictive GenAI, you'll arrive at accurate predictions easier and much faster, a marked improvement over the slow and tedious processes of the past.
What predictive GenAI can do
Whether it's customer churn, truck maintenance, or anything else you need to solve with a predictive model, our Predictive GenAI is here to help. But what does the “GenAI” component bring to the picture?
As you probably know, humans can have deep and insightful interactions with generative ai tools using simple natural language. Dialogues with GenAI can produce a variety of creative outputs, including text, images, audio, synthetic data, code, and more. If you've ever bombarded ChatGPT with silly questions, you'll have experienced firsthand GenAI's remarkable ability to handle the variety of information that humans can provide.
Pecan's Predictive GenAI transforms human input into predictive models. Our Predictive GenAI capabilities make it possible to translate your business concern into a predictive model faster than ever, no matter how specific or specific your needs may be.
First, Predictive Chat will gather essential information about your goals and help you define a “predictive question” that your model can answer. Asking a question may seem like a relatively minor step in the process, but at Pecan we've found it to be essential. For example, consider the customer churn model mentioned above. “Defection” from a company may mean that you will never hear from a customer again; For another company, it could mean a reduction in activity (but not the complete end of the relationship).
Defining these details as part of predictive questions is like specifying the precise amount of ingredients in a recipe. Sure, water is part of your list of ingredients for baking bread, but the amount of water makes a huge difference in your final product.
Predictive Chat guides you through determining all of these critical ingredients to make it as easy as possible to create a successful predictive model. There's no need to guess – you'll know from the start exactly what to predict and what will be relevant to your business needs and goals.
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Pecan's Predictive GenAI provides fast and seamless predictive modeling
You'll then transition into an SQL-based Predictive Notebook experience that guides you through your next steps. Using GenAI, our Predictive Notebook is preloaded with SQL queries, so you don't need to write them yourself. Simply modify them where necessary to make the adjustments you want. You won't have to strain to analyze which fields are relevant, which tables to join and how, or what aggregations you'll need.
The combination of predictive and generative ai will lead to better business results. Pecan's Predictive GenAI presents a powerful way to gain business value by combining these technologies.
How Predictive GenAI will transform your ai efforts
It is not always easy for data analysts and entrepreneurs to translate their business concerns into well-defined and executable predictive modeling tasks. Pecan's Predictive GenAI now handles precisely that translation: from business need to predictive model. Its generative component can understand and search for the necessary information about business needs.
With Predictive GenAI, you no longer have to ask, “Could we build a model to predict that?” The hassles of previous ai efforts are a thing of the past. You won't need to try to learn Python, or hire a data scientist for your team at a cost of $250,000 or more per year, or find a consulting company that could Be able to grasp the nuances of your business.
Instead, simply sit down for a chat and begin your journey to success with Pecan's Predictive GenAI.
Can ai/predictive-modeling-lp/?utm_medium=partner_affiliate&utm_source=kdnuggets&utm_motion=selfserve&utm_campaign=kdnuggets_jan2024&utm_content=power+up” rel=”noopener” target=”_blank”>start free. We can't wait to see what you'll predict.