COVID-19 circumstances presented a new level of digital disruption, and data science is no longer the "shiny object" in the room -- it is a necessity that touches every industry and line of business.

The Fourth Annual Data Science Connect Conference 2021: "Data Science in a Changing World" will feature data experts and practitioners across industries and disciplines demonstrating the impact of data science in today's changing world.

Data Science Connect

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dscconf2021

Welcome Remarks Day 1 - Workshops

AWS Welcome | Reinventing Your Business with Data: Cloud and AWS Overview for Data & Analytics

Anomaly Detection in Time Series

Data Science in Telecom

A Democratic World Wide Web: An Introduction and Implementation of the Plebeian Algorithm to Freely Combat Misinformation

Pragmatic Machine Learning

Data Science Made Real

Can Humans Learn Like Machines? The Case for Human Machine Learning.

Hold on Doctor, Let me Google That

New ML Dimension: Build Neural Networks and Launch ML Models into Production in 1 Day

Dashboards and Data Visualizations in Spotfire with AI and NLP

Improving Cyber Threat Detection with Machine Learning, Visualizations and Graph Analytics

Deep Learning with PyTorch: A Beginner's Intro

Welcome Remarks Day 2 - Presentations & Panels

Analytics Market Overview & Trends, plus Recent Customer Success Stories | How PGA Tour is Revolutionizing the Fan Experience via AIML & Analytics

The People Case: How the Right People in the Right Roles Can Transform an Analytics Strategy

Modernizing Data Science and Analytics Roles

Open Data Access for Social Good - Responding to COVID-19 with Spatial Data Science

Ontology Drives Data Agility

Search and Recommender Systems for Healthcare

Akkio Hiring Booth

Architecting Data Science Services in AWS

Renewable Energy: Innovating with Geoanalytics and Machine Learning in the Energy Industry

Data-Driven Innovation

Democratization of Data With No Code/Low Code Movement

Build Bigger Better: Accelerating Data Science Development at Lowe's

Identifying and Addressing Data Bias

PANEL: Unlocking the Potential of Data Across Industry

Using Data Science to Inform Talent Strategy

Improving Data Science ROI using ML Ops

From Academia to the Corporate World!!

How to Keep the User and the Experience at the Center

Testing Your Models in Production With Drifter-ML

The Democratization of Data Science in the Enterprise

41 - Improving Cyber Threat Detection with Machine Learning, Visualizations and Graph Analytics

Analytics is a Team Sport

How Data Can Superpower Your Customer Experience

The Importance of Context

Coming Soon

The Business Imperative of Data: 5 Emerging Data Trends Every Executive Needs to Know

PANEL: Driving Successful AI Projects at Scale - What's Needed in Your Industry?

Using Data Stability to Build Resilient Predictive Models

A Greater Foundation for Machine Learning

911 Calls and Community Needs: Standardizing and Analyzing Calls for Service Data

Is AutoML a Panacea for Data Science Talent Shortages?

Building a Healthier World Through Better Fruits & Vegetables

Closing Remarks