Expero | Gallery

Explore our Gallery.

By Type By Industry By Solution

Lightning Talks Demos Online Seminars Case Studies Visualizations

Lighting Talks

What is a Data Product?

Data Products
Machine Learning CI/CD Pipeline
Data Science as a Product
Scalable Data Science

Apache Kafka 101

Apache Kafka Overview
Producer + Consumer API
Kafka Connect, Kafka Streams API, and KSQL
Use Cases

Alternative Investments: Part 3

User Experience and Expectations
Millennials in the Workforce
Modernization
Modern UI Conventions

VIEW ALL LIGHTNING TALKS

Demos

Road Risk & Driver Safety Using IoT Data with Moove.ai

Real Time IoT
Machine Learning & Analytics
Risk Modeling
Fleet & Auto

Fleet Management & Scheduling

Routing
Optimization
Route Recommendations
Machine Learning & Analytics

Visualize Supply Chain Planning II

Time Series & Real-time Data
Risk Visibility
Operation Components
Executive Dashboard

Online Seminars

Energy Round Table with TigerGraph

Energy and IoT Connected Systems
Cut Costs by 10% using Graph Technology
ML Methods and Approaches
Increasing accuracy of Energy Data

Fraud Detection Round Table with TigerGraph

Graph for all Fraud types
Cut costs by 10% with Graph + ML
Drive real-time fraud detectiondecisions
ML approaches combined with Graph

Technological Foundation of Data Products

Data Versioning
Computational Graphs
Machine Learning CI/CD
Deploying Data Products

VIEW ALL ONLINE SEMINARS

Case Studies

How can 3D and VR help you find a new home?

MyHouseby wanted users to love the experience of discovering and customizing their new home in new ways using new technologies.

Predictive Analytics for Kinsa Health

Can you predict and plan for the flu?

Knowing who has the flu is hard. Doctors assess the small minority of sick people who make it into a clinic and send the test results to the CDC every few weeks. The CDC models this information and retroactively corrects their national influenza like illness (ILI) report every two weeks.

Optimizing A Multi-National Supply Chain

Bringing Visibility to a Complex Data Lake

The data over fifty years of operation was messy and segregated, so the regional planners often relied on localized tribal knowledge to get customers product in time to meet SLAs. This intuition-driven delivery mechanism was ripe for system wide optimization to improve overall efficiency and reduce network costs.

VIEW ALL CASE STUDIES

Visualizations

VIEW ALL VISUALIZATIONS