Systems | Development | Analytics | API | Testing

November 2020

Predictive Real-Time Operational ML Pipeline: Fighting First-Day Churn

Retaining customers is more important for survival than ever. For businesses that rely on very high user volume, like mobile apps, video streaming, social media, e-commerce and gaming, fighting churn is an existential challenge. Data scientists are leading the fight to convert and retain high LTV (lifetime value) users.

Kubeflow: Simplified, Extended and Operationalized

The success and growth of companies can be determined by the technologies they rely on in their tech stack. To deploy AI enabled applications to production, companies have discovered that they’ll need an army of developers, data engineers, DevOps practitioners and data scientists to manage Kubeflow — but do they really? Much of the complexity involved in delivering data intensive products to production comes from the workflow between different organizational and technology silos.

Predicting Ad Performance in Real-Time: PadSquad & Iguazio at the Data Science Salon

In this talk, Daniel Meehan, CEO & Founder of PadSquad explains how to build a predictive AI application which can analyze events and impressions from online ads in real-time. He discusses how to run and analyze thousands of real-time and batch events per second for ad performance optimization.