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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

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Demos

Financial Crimes Investigation Workbench

Financial Crime
ML & Graph Technology
Investigation Workbench
Deep Link Analytics

DataStax Astra Demo

Porting an existing DataStax Enterprise application to DataStax Astra
Astra allows for administration-free database services
Use the same DataStax tooling and modeling studio for Astra
All your APIs continue to work as you expect when moving to Astra

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

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

Online Seminars

Entity Resolution, Customer 360, & Recommendations Round Table with TigerGraph

Create a single view of each customer
Unify data for predictive analytics
Learn insights for recommendations
Find customer patterns and journeys

Optimize Supply Chains Using Machine Learning Superpowers

Monitor KPIs across your supply chain
Optimize with "what-if analysis"
Model rough-cut planning scenarios
Enrich external data with market factors

Graph Product Selection Round Table

Organizational Readiness
Graph Product Shoot Out
How to Build Enterprise Applications
Scoring, Hidden Costs, Intangibles

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Case Studies

How has the storage reservoir of CO2 has changed over time

“Expero was fundamental to the success on this project, effectively communicating their progress throughout and helping our scientists develop an understanding of deep learning techniques.”

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.

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Visualizations

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