
Applying Machine Learning & AI to Finance, Healthcare & Technology
AUSTIN, TX | FEBRUARY 18-19
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
Senior Data Scientist at GM Chief Data Scientist at Q2ebanking Chief Machine Learning Architect at phdata.io Professor, School of Information at Dell Medical School, University of Texas at Austin Lead Data Scientist at ScaleFactor VP Data Science at Square Panda President at PlayWell LLC President at NumFocus Sr Manager - Big Data Platform Engineering at Charles Schwab North America Chief Data Scientist at Accenture AI Founder & CEO at Lucea AI Head of Customer Facing Data Science Organization at Explorium Eero Laaksonen – CEO at Valohai Analytics Project Leader at New York-Presbyterian Hospital AVP, Data Science at Comerica Bank VP/Head of Data Science at Dun & Bradstreet Manager, Product Science at Indeed Director, Digital Insights at CGI Sr. Manager, Applied Data Science at Dell Technologies Principal Associate Data Scientist at Capital One Manager, Risk Analytics and Data Science at Populus Financial Group Group Manager – Financial Engineering at S&P Global Market Intelligence Head of Data Science at Capital One Manager, Analytics/Data Science at Zynga Senior Data Scientist at Signify Health VP Research and Intelligence at Forcepoint
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
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
3:45 pm – 4:15 pm – Afternoon Coffee
Networking, Exhibitor Meet & Greet
4:15 pm – 4:35 pm – Asynchronous Model Training & Version Control for Jupyter Notebooks
Eero Laaksonen – CEO at Valohai
4:35 pm – 5:05 – Building Data Science Infrastructure
Caitlin Hudon – Lead Data Scientist at OnlineMedEd
5:05 pm – 6:05 pm – The Roadmap to Beautiful and Meaningful Data
Patrick McGarry – Head of Strategic Partnerships at data.world
6:05 pm – 6:10 pm – Closing remarks
attendees from

And many more!

DATE AND TIME
February 18, 2020 | 8 AM – 7 PM CST
February 19, 2020 | 8 AM – 7 PM CST
LOCATION
Brazos Hall, 204 E 4th St,
Austin, TX 78701
Contact
e: info@formulated.by
t: (415) 322-0760