The Fifth Annual Data Science Connect Conference 2022: "Data Science: What Lies Ahead" will feature data experts and practitioners across industries and disciplines as they discuss what lies ahead for data science in their respective industries and domains.

Data Science Connect

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dscconf2022

Welcome Remarks

KEYNOTE: It’s a Matter of Semantics

KEYNOTE: The Economics of Data

How Product Management Drives Maturity and Success in the Data Revolution

Winning the Room: Creating and Delivering an Effective Data-Driven Presentation

Day ONE - How to Use a Semantic Layer on Big Data to Drive AI & Bi Impact

Data Strategy Amplifies AI/ML Strategy

Ethical AI at Scale

Fireside Chat: Innovation and Intellectual Property – What You Need to Know

Image Search:  Joy and Interaction in the Online Discovery Experience

A Love for Storytelling Through Natural Language Processing

Data Meets CX: How Data Can Make Your Customer Experiences Better

Creativity in Data Science

Explainable AI:  Bridging the Belief Gap

Data Science: What Lies Ahead

The Decade of the Data Engineer

How to Learn Tough Technical Subjects in 4 Simple Steps

Is Everyone a Data Scientist? Democratizing Data in the 21st Century

Using Transfer Learning to Accelerate Model Development

Building the Plane While Flying It: Driving Data Innovation Without Pumping the Brakes

Build a Career with Purpose and Passion

Plotting a Course through the Bermuda Triangle of Enterprise Data

Robust Synthetic Control with Data Science

Maximize the ROI of Human Movement Data

Accelerating Analytics and AI with Knowledge Graphs

Use of AI in the Manufacturing Industry

ROA: Defining Analytics Benefits

The Real Smart Home Provided by AI

Lessons from Data Science in Telecom

Network Science Applications in Business Intelligence

Digital Twins: The Next Frontier in Data Science for Prescriptive Analytics

Manufacturing Analytics: Driving Productivity, Profitability, and Transformation

Personalizing User Experiences with User-Based Collaborative Filtering Recommender Engines

Enabling Success in Data Science

Experiment Rigor for the Design and Analysis of Switchback Experiments

Intro to Tableau: Finding Your Sweet Spot with a Halloween Dataset

Let’s Jump into Python!

Why the Future of AI Is Everyday AI

A Deep Dive into Deep Learning

Honest-ML: A Tool for Machine Learning with Confidence

Build Your Knowledge Graph in Four Clicks

The Platform for Everyday AI: From Data to Insights for Non-Coders & Analysts

Make Pseudo Data With GAN

Ganapathi Pulipaka, PhD

Day 2 Welcome Remarks

Job Crafting for Data Practitioners and Executives

The Platform for Everyday AI: From Data to Insights for Coders & Data Scientist

It’s Not All About Your Algorithms…It’s the Data That Makes the Difference

EDA Tips and Tricks: Building Better Data Pipelines

Closing Remarks

Day TWO How to Use a Semantic Layer on Big Data to Drive AI & Bi Impact