Applying Machine Learning & AI to Finance, Healthcare & Technology

AUSTIN, TX | FEBRUARY 18-19

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Get the Bigger Picture in Texas

Covering all major applications of AI and Machine Learning in all Data Science Salon verticals.

This flagship edition of the Data Science Salon sets the tone of the year ahead in data science. The Data Science Salon series is a unique vertical focused conference which brings together specialists face-to-face to educate each other, illuminate best practices, and innovate new solutions in a casual atmosphere with food, great coffee, and entertainment.

About

Get access to powerful decision makers in data science in an intimate setting at Data Science Salon Austin, the flagship conference in the DSS series around all major applications AI and Machine Learning. Learn from practitioners, technical experts and executives how to solve real-world problems by harnessing disruptions in data, artificial intelligence, machine learning, and cutting-edge technologies. At DSS Austin, we connect you with our powerful community face-to-face and digitally – each ticket comes with one year of access to DSS Insider, the content repository for all Data Science Salons.

Data Science Salon Austin has two dedicated tracks. Learn the latest technical skills from the tool creators themselves in our technical track. Or join executives and top machine learning practitioners in our uses cases track as they share exclusive success stories and paint a roadmap to ML success.

Data Science Salons are one or two day events hosted at Blue Chip companies. Over 50% of our 200-500 attendees at each conference are data decisionmakers (Sr. Data Scientists and above). And we are the only data science conference with a gender balance in our speaking roster.

A Sample of Topics Covered

PUTTING ML APPS INTO PRODUCTION

PERSONALIZATION AT SCALE WITH AI

CLOUD AUTOMATION AND MACHINE LEARNING

NATURAL LANGUAGE PROCESSING & DEEP LEARNING

ENGINEERING FOR DATA SCIENCE

SCALING ML PRODUCTION

IMPROVING DATA QUALITY

MACHINE LEARNING BEST PRACTICES

DATA STRATEGY AND GOVERNANCE

DATA ETHICS AND BIAS

RECOMMENDATION ENGINES

DESIGNING ML PIPELINES EFFICIENTLY

DEEP NEURAL NETWORKS

IMAGE RECOGNITION WITH ML

USING LARGE SCALE DATA SETS

DATA SCIENCE TEAMS: MANAGING, BUILDING, COLLABORATION

INTEGRATING OPEN SOURCE TOOLS INTO YOUR WORKFLOWS

ENHANCING THE VIEWER EXPERIENCE WITH MACHINE LEARNING & AI

CONTENT PERSONALIZATION AND MONETIZATION

AUDIENCE TARGETING AND SEGMENTATION (ACROSS PLATFORMS)

DATA AND AI FOR EMERGING PLATFORMS

DATA GOVERNANCE

AND MORE!

Immersive Days

Attendees

Speakers

Blue chip companies represented

dedicated tracks for practitioners + managers

Year access to DSS Insider + the DSS Online Community

Speakers

Elizabeth Chabot

Lead Data Scientist at ScaleFactor

Priscilla Boyd

Senior Manager, Data Analytics at Siemens Mobility

Andy Terrel

President at NumFocus

Amy DaalI

Founder & CEO at Lucea AI

Michael Zelenetz

Analytics Project Leader at New York-Presbyterian Hospital

Alex Schwarm

VP/Head of Data Science at Dun & Bradstreet

Boryana Manz

Manager, Data Science at Capital One

Caitlin Hudon

Lead Data Scientist at OnlineMedEd

Nancy Hornberger

Executive Vice President – Healthcare at ElectrifAi

Randi Ludwig

Sr. Manager, Applied Data Science at Dell Technologies

Fatih Akici

Manager, Risk Analytics and Data Science at Populus Financial Group

Moody Hadi

Group Manager – Financial Engineering at S&P Global Market Intelligence

Jacob Claussen

Manager, Analytics/Data Science at Zynga

Gerald Fahner

Senior Director, Data Science at FICO

Raffael Marty

VP Research and Intelligence at Forcepoint

Meltem Ballan

Data Science Lead at GM

Jesse Barbour

Chief Data Scientist at Q2ebanking

Jordan Birdsell

Chief Machine Learning Architect at phData

Ying Ding

Professor, School of Information & Dell Medical School at UT Austin

Eero Laaksonen

CEO at Valohai

Dhruv Bhargava

VP Data Science at Square Panda

Linnette Attai

President at PlayWell LLC

Darby Laffoon

Sr Manager of Data Science Engineering at Charles Schwab

Dedy Kredo

Head of Customer Facing Data Science Organization at Explorium

Kelsey Redman

AVP, Data Science at Comerica Bank

Chris Lindner

Manager, Product Science at Indeed

Raktim Saha

Director, Digital Insights at CGI

Patrick McGarry

Head of Strategic Partnerships at Data.World

Micah Price

Principal Associate Data Scientist at Capital One

Ilya Katsov

Head of Data Science at GridDynamics

Seemit Sheth

Head of Data Science at Capital One

Peter Guerra

North America Chief Data Scientist at Accenture AI

Joe Ray

Data Science & Engineering at Dell Technologies

Alyssa Simpson Rochwerger

VP, Data and AI at Appen

Marcelo Casas

SVP Data Science at GM Financial

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Schedule

Tap on the Day 1 and Day 2 tabs to switch between the schedule for each day

Day 1 schedule

8:00 am – 8:50 am – Registration & Coffee
Coffee, Healthy Snacks, and Networking

8:50 am – 9:10 am – Introduction & Morning Meditation

9:10 am – 9:40 am – Leveraging Entity-Resolution to Identify Customers in 3rd Party Data
Kelsey Redman – AVP, Data Science at Comerica Bank

9:40 am – 10:10 am – Model Monitoring Pipelines
Boryana Manz – Manager, Data Science at Capital One

10:15 am – 10:35 am – The Next Frontier of Data Science: Automated Feature Generation
Dedy Kredo – Head of Customer Facing Data Science Organization

10:35 am – 11:05 am – Behaviors in Bookkeeping
Elizabeth Chabot – Lead Data Scientist at ScaleFactor

11:05 am – 11:25am – Coffee & Entertainment
Networking, Exhibitor Meet & Greet

11:25 am – 11:55 am – Keys to Leading Highly Effective Data Science Teams
Darby Laffoon – Sr Manager – Big Data Platform Engineering at Charles Schwab

11:55 am – 12:25 pm – All Models Are Wrong, But Some Are Useful… Especially if you have the Right Data
Alex Schwarm – VP/Head of Data Science at Dun & Bradstreet

12:30 pm – 12:50 pm – Building a Data-Driven Price Management System: Lessons Learned and Best Practices
Ilya Katsov – Head of Data Science at GridDynamics

12:50 pm – 1:10 pm – 10 Questions Before You set-Up Your Data Science Team
Marcelo Casas – SVP Data Science at GM Financial

1:10 pm – 2:10 – Lunch & Sponsor Table Crawl
Networking, Exhibitor Meet & Greet

2:10 pm – 2:55 pm – DSSe Panel
Randi Ludwig – Sr. Manager, Applied Data Science at DELL
Meltem Ballan – Data Science Lead at GM
Ying Ding – Professor, School of Information and Dell Medical School at UT Austin
Nancy Hornberger – Executive Vice President – Healthcare at ElectrifAi

2:55 pm – 3:25 pm – Building a Recommender System from Node Embeddings on a Transaction Graph
Jesse Barbour – Chief Data Scientist at Q2ebanking

3:25 pm – 3:55 pm – Applied Machine Learning for Spreading Financial Statements
Moody Hadi – Group Manager – Financial Engineering at S&P Global Market Intelligence

3:55 pm – 4:25 pm – Afternoon Coffee
Networking, Exhibitor Meet & Greet

4:25 pm – 4:55 pm – A Hands-on Inquiry into Algorithmic Bias and Machine Learning Interpretability
Fatih Akici – Manager, Risk Analytics and Data Science at Populus Financial Group

4:55 pm – 5:25 – Bias In, Bias Out? How to Fight Biases in AI and Create Trust
Gerald Fahner – Senior Director, Data Science at FICO

5:25 pm – 5:55 pm – New Frontiers for Data Science in Banking
Seemit Sheth – Head of Data Science at Capital One
Micah Price – Principal Associate Data Scientist at Capital One

6:00 pm – 8:00 pm – Opening reception
At Penny Lane Street Bar, 115B San Jacinto Blvd, Austin, TX 78701
Make sure to get a drink token from the Formulatedby table, good for two drinks of your choice!

Day 2 schedule

8:00 am – 8:50 am – Registration & Coffee
Coffee, Healthy Snacks, and Networking

8:50 am – 9:10 am – Introduction & Morning Meditation

9:10 am – 9:40 am – Minority Report: Can we predict emergencies?
Michael Zelenetz – Analytics Project Leader at New York-Presbyterian Hospital

9:40 am – 10:10 am – Leveraging Machine Learning and Open Data for Smart Cities
Priscilla Boyd – Senior Manager, Data Analytics at Siemens Mobility

10:15 am – 10:35 am – Talk Title TBD
Joe Ray – Data Science and Engineering at Dell Technologies

10:35 am – 11:05 am – Process Automation using Machine Learning
Raktim Saha – Director, Digital Insights, CGI

11:05 am – 11:25am – Coffee & Entertainment
Networking, Exhibitor Meet & Greet

11:25 am – 11:55 am – Who will fight for AI in Healthcare
Amy Daali – Founder & CEO at Lucea AI

11:55 am – 12:25 pm – Discovering What Our Players Will Thank Us For
Jacob Claussen – Manager, Analytics/Data Science at Zynga

12:30 pm – 12:50 pm – MLOps: The Assembly Line of Machine Learning
Jordan Birdsell – Chief Machine Learning Architect at phData

12:50 pm – 1:10 pm – The Joys and Peril of AI at Scale
Peter Guerra – North America Chief Data Scientist at Accenture AI

1:10 pm – 2:10 – Lunch & Sponsor Table Crawl
Networking, Exhibitor Meet & Greet

2:10 pm – 2:55 pm – Panel: AI/ML Privacy and Compliance
Dhruv Bhargava – VP Data Science at Square Panda
Raffael Marty – VP Research and Intelligence at Forcepoint
Linnette Attai – President at PlayWell LLC
Andy Terrel – President at NumFocus

2:55 pm – 3:15 pm – How to Organize a Team to Build an AI Product That Works
Alyssa Simpson Rochwerger – VP, Data and AI at Appen

3:15 pm – 3:45 pm – What Indeed’s Job Market Data can tell us about Demographics and Trends in Data Science Careers
Chris Lindner – Manager, Product Science at Indeed