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On-Demand Webinar

Predictive Analytics: Getting Actual Value from Machine Learning

How to avoid being one of the 75% of AI projects that "underwhelm"

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75% of AI and ML projects fail

At Pecan, we believe predictive analytics is one of the most effective ways for companies to get real business value from machine learning. Accurately predicting the immediate future of customer churn, or forecasting demand is the ultimate evolution of an analytics team. When it works, it's close to magic.

But despite its potential, even the most data-savvy companies can't agree on team structure, outsourcing, open source libraries and even what to predict for.

In this webinar, we shared the essential components of predictive analytics to get value in the shortest time possible.

 

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"Prediction is just the logical evolution of big data, but it's simply not scalable to work months on every new model. That's where the Pecan magic comes in, cutting development time from months to days. "

Assaf Shahaf
Head of BI, Appsflyer

We improved forecast accuracy in our seasonal business, and we have a deeper understanding of the variables that may influence a consumer demand signal. By partnering together with Pecan, we are continuing our focus on what consumers want to purchase at the right time and place. ”

Bertrand Klehr
VP Supply Chain, Johnson & Johnson

"Predictive analytics is marching towards automation and I believe Pecan has built a great product for it. The Pecan platform enables business analysts to reduce the complexity of building and deploying predictive models and will help transform the way data science projects are executed."

Eran Abikhzer-Agam
VP Data, Fiverr

"With Pecan, we are able to spin up new predictive models for churn and lifetime value predictions as easily as using a BI tool. Our business analysts are now doing data science with Pecan—it’s amazing."

Evyatar Livny
Director of Product, SciPlay Coorporation

About Pecan

Pecan is an automated AI-based predictive analytics platform that simplifies and speeds the process of building and deploying predictive models in various customer-related and operational use-cases. Pecan does not require any data preparation, engineering or prepossessing - it connects directly to raw data, and uses neural networks to automate the entire predictive process.