Sessions

A closer look: Exploratory Data Analysis with Spark and IntelliJ IDEA

Applied Privacy Engineering Study on SEER database

Best Practices for Prototyping Machine Learning Models for Healthcare

Big Data Modeling with Spark SQL: Make data valuable

Box Office Strategy: Do Release Dates Matter?

Building a Knowledge Graph for Data Science Training on the Web

Careers in Data Science

Data Acquisition Made Easy: Accessing social conversations at scale

Data is the New Business Currency

Data warehouse and Kubernetes: Lessons from ClickHouse Operator

Don't Talk Data to Me

E-Commerce Product Categorization at Scale

Electrifying Big Issues Through Analytics

Graph Theory Takes on the Opioid Epidemic

How to Teach an Old Firm New Tricks

Hybrid Transactional Analytical Processing (HTAP) with MariaDB Platform

Innovating with Data

Integrating Kafka with a Real-Time Database

Know Your Customer

Large scale streaming analytics using cloud based managed services

Location Analytics For Smart Grid Reliability

MetaConfig driven FeatureStore with Feature compute & Serving Platform powering Machine Learning @MakeMyTrip

Move Fast, Think Big: The Principles of Managing Large Scale Big Data and Application Development Projects

One (Key) Ring to Rule Them All: Unified Identity Management for Vantage

Open Data & Maps As Tools for More Impact

Optimization Algorithms for Deep Learning

Orchestration of Blue-Green deployment model with AWS Document DB and ECS cluster using Terraform

Patterns for Persistence and Streaming in Cloud Architectures

Pitney Bowes methodologies to Organize, Enrich and Analyze data from a location perspective

Real Time Face Detection through a Webcam Using AI

Scrum Overview

Securing IoT Data with Pervasive Encryption

So You got Hacked, how Quickly Can your Company Recover?

State of the Art of Innovation in Computer Vision

The challenges of data science for veteran media organizations

Time Series Forecasting of Programmatic Inventory at Scale

Unifying streaming and message queue with Apache Kafka

User Motivation: Refining Customer Segments with Location

Working with data from your most engaged customers