Last call! Secure your stack and shape the future! Help dev teams across the globe navigate their software supply chain security challenges.
Modernize your data layer. Learn how to design cloud-native database architectures to meet the evolving demands of AI and GenAI workloads.
Seven out of 10 application teams plan to add predictive analytics to their products in the next 12 months. But building predictive algorithms and embedding insights in an application presents a number of technical and practical challenges. In this webinar, we’ll explore best practices for building predictive applications and how to overcome the most common development challenges.
You’ll see:
-What is predictive analytics and what are the most popular uses for SaaS applications
-Common technical challenges for building predictive applications
-Best practices for implementing predictive applications
-A live demo of building a predictive model and embedding it in an application
