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Applying Machine Learning and AI to finance, healthcare and technology

Austin, February 21-22 2019

The Data Science Salon is a destination 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, drinks, and entertainment.

About

Data Science Salon unites the brightest leaders in the technology, healthcare and finance industries in Austin data science fields.

The Data Science Salon Austin is a two-day 250 person conference focused on AI and ML. The audience consists of senior technical folks, heads and directors of data science, data engineers, analysts and managers. The format includes a combination of talks, workshops, and panels with an optional expo and lots of time for networking in a casual environment with entertainment. We’ve collected extensive data to figure out just the right mix of people, content, and entertainment to make our conferences as seamless, informative, and fun as possible. Learn how to solve real-world problems by harnessing disruptions in data, artificial intelligence, machine learning, and cutting-edge technologies.

Speakers

Days

data science execs and practitioners

Workshops

About

Data Science Salon unites the brightest leaders in the technology, healthcare and finance industries in Austin data science fields.

The Data Science Salon Austin is a two-day 250 person conference focused on AI and ML. The audience consists of senior technical folks, heads and directors of data science, data engineers, analysts and managers. The format includes a combination of talks, workshops, and panels with an optional expo and lots of time for networking in a casual environment with entertainment. We’ve collected extensive data to figure out just the right mix of people, content, and entertainment to make our conferences as seamless, informative, and fun as possible. Learn how to solve real-world problems by harnessing disruptions in data, artificial intelligence, machine learning, and cutting-edge technologies.

Meet our speakers

Julie Hollek

Sr Data Scientist,
Twitter

Stanislaw Schmal

Senior Consultant Analytics & Digitization,
Lufthansa Industry Solutions

Namita Lokare

Sr. Biomedical Algorithm Engineer,
LVL Technologies Inc

Gerald Fahner

Principal Data Scientist,
FICO

Lex Roman

Senior Product Designer,
The Black Tux

Bojan Babic

Sr Software Engineer,
Groupon

Robert Welborn

Head of Data Sciences and Advanced Analytics,
General Motors

Brittany Rockwell

AI Scientist,
National Bank Financial

Andy Terrel

President,
NumFocus

David Patschke

Director of AI Machine Learning Strategy,
Dell

Randi R. Ludwig

Data Scientist,
Dell

Sophia Parafina

Sr. Product Manager – Open Source,
Anaconda

Patrick McGarry

Head of Data Community,
Data.World

Sridharan Kamalakannan

Principal Data Scientist,
Humana

Marc Boudria

VP Artificial Intelligence,
HyperGiant

Benjamin Batorsky

Data Scientist,
ThriveHive

Eunice Chendjou

Founder and CEO,
DataGig

Hillary Green-Lerman

Senior Curriculum Lead,
Data Camp

Olcan Sercinoglu

Founder and CEO,
Scaled Inference

Laura Norén

Director of Research,
Obsidian

Jeffrey Yau

Chief Data Scientist,
AllianceBernstein

Lynn Pausic

Co-founder,
Expero

Schedule

 

Day 1 | Workshops

08:00 – 08:55

Breakfast & Registration

08:55 – 09:00

Intention for the day

09:00 – 10:00

Workshop | In your own words: Computing customer similarity using website text data

Benjamin Batorsky – Data Scientist, ThriveHive

10:00 – 10:30

COFFEE BREAK

& Networking

10:30 – 11:45

Workshop | An Experiment on Data Science Algorithms Enabled by a Pilosa Index

Marc Boudria – VP Artificial Intelligence, HyperGiant

11:45 – 13:00

How to Optimize Conversions with Learned Segments

Olcan SercinogluFounder and CEO, Scaled Inference

13:00 – 14:00

LUNCH BREAK & Networking

14:00 – 15:00

Workshop | Are you sure you’re an ethical technologist? Build your ethical imagination

Laura NorénDirector of Research, Obsidian

15:00 – 15:30

COFFEE BREAK & Networking

15:30 – 17:00

Workshop | How to Build a Data-Driven Culture

Patrick McGarry – Head of Data Community, Data.World

17:00 – 19:00

OPENING RECEPTION & Networking

Schedule

 

Day 1 | Workshops

08:00 – 08:55

Breakfast & Registration

08:55 – 09:00

Intention for the day

09:00 – 10:00

Workshop | In your own words: Computing customer similarity using website text data

Benjamin Batorsky – Data Scientist, ThriveHive

10:00 – 10:30

COFFEE BREAK & Networking

10:30 – 11:45

Workshop | An Experiment on Data Science Algorithms Enabled by a Pilosa Index

Marc Boudria – VP Artificial Intelligence, HyperGiant

11:45 – 13:00

How to Optimize Conversions with Learned Segments

Olcan SercinogluFounder and CEO, Scaled Inference

13:00 – 14:00

LUNCH BREAK & Networking

14:00 – 15:00

Workshop | Are you sure you’re an ethical technologist? Build your ethical imagination

Laura NorénDirector of Research, Obsidian Security

15:00 – 15:30

COFFEE BREAK & Networking

15:30 – 17:00

Workshop | How to Build a Data-Driven Culture

Patrick McGarry – Head of Data Community, Data.World

17:00 – 19:00

OPENING RECEPTION & Networking

Day 2 | Sessions

08:00 – 08:55

Registration

08:55 – 09:00

Welcome

Anna & Jeremy – Formulatedby

09:00 – 09:15

Meditation

09:15 – 09:45

Machine Learning is Hard (and you’re probably not very good at it)

Randi R. LudwigData Scientist, Dell

09:45 – 10:15

Applications of Embeddings and Deep Learning at Groupon

Bojan Babic – Sr Software Engineer, Groupon

10:15 – 10:35

Python in Production

Sophia Parafina – Sr Product Manager, Anaconda, Inc

10:35 – 11:05

COFFEE BREAK & Networking

11:05 – 11:35

AI for Audio Recognition Service: IoT & analytics in practice. Live demonstrator: Condition based maintenance

Stanislaw Schmal Senior Consultant Analytics & Digitization, Lufthansa Industry Solutions

11:35 – 12:05

Automated Feature Engineering

Namita Lokare – Sr. Biomedical Algorithm Engineer, LVL Technologies Inc

12:05 – 12:35

Solving Explainable AI Challenges for the FICO®Score

Gerald Fahner – Senior Principal Scientist, FICO

12:35 – 13:05

The UX of Data

Lex Roman – Senior Product Designer, Growth, The Black Tux

13:05 – 14:05

LUNCH BREAK & Networking

14:05 – 14:35

Machine Learning and Data Monetization

Robert Welborn – Head of Data Sciences & Advanced Analytics, General Motors

14:35 – 15:20

Panel | Emerging Trends in AI and Machine Learning, Looking at the Year Ahead

David Patschke (Moderator) – Director of AI Machine Learning Strategy, Dell

Eunice Chendjou – Founder and CEO, DataGig

Jeffrey Yau – Chief Data ScientistAllianceBernstein

Lynn Pausic Co-founder, Expero

15:20 – 15:50

Product(ive) Data Science

Julie Hollek – Sr Data Scientist, Twitter

15:50 – 16:10

COFFEE BREAK & Networking

16:10 – 16:40

The Open Data Science Platform

Andy Terrel – President, NumFocus

16:40 – 17:00

Data Scientists are Educators!

Hillary Green-Lerman – Senior Curriculum Lead, Data Camp

17:00 – 17:30

Recent Advances in NLP and How they Impact Trading

Brittany Rockwell – AI Scientist, National Bank Financial

17:30 – 18:00

Interpretable Predictive Models in the Healthcare Domain

Sridharan Kamalakannan – Principal Data Scientist, Humana

18:00 – 18:05

CLOSING REMARKS

Anna & Jeremy – FormulatedBy

Day 2 | Sessions

08:00 – 08:55

Registration

08:55 – 09:00

Welcome

Anna & Jeremy – Formulatedby

09:00 – 09:15

Meditation

09:15 – 09:45

Machine Learning is Hard (and you’re probably not very good at it)

Randi R. LudwigData Scientist, Dell

09:45 – 10:15

Applications of Embeddings and Deep Learning at Groupon

Bojan Babic – Sr Software Engineer, Groupon

10:15 – 10:35

Python in Production

Sophia Parafina – Sr Product Manager, Anaconda, Inc

10:35 – 11:05

COFFEE BREAK & Networking

11:05 – 11:35

AI for Audio Recognition Service: IoT & analytics in practice. Live demonstrator: Condition based maintenance

Stanislaw Schmal Senior Consultant Analytics & Digitization, Lufthansa Industry Solutions

11:35 – 12:05

Automated Feature Engineering

Namita Lokare – Sr. Biomedical Algorithm Engineer, LVL Technologies Inc

12:05 – 12:35

Solving Explainable AI Challenges for the FICO® Score

Gerald Fahner – Senior Principal Scientist, FICO

12:35 – 13:05

The UX of Data

Lex Roman – Senior Product Designer, Growth, The Black Tux

13:05 – 14:05

LUNCH BREAK & Networking

14:05 – 14:35

Machine Learning and Data Monetization

Robert Welborn – Head of Data Sciences & Advanced Analytics, General Motors

14:35 – 15:20

Panel | Emerging Trends in AI and Machine Learning, Looking at the Year Ahead

David Patschke (Moderator) – Director of AI Machine Learning Strategy, Dell

Eunice Chendjou – Founder and CEO, DataGig

Jeffrey Yau – Chief Data ScientistAllianceBernstein

Lynn Pausic Co-founder, Expero

15:20 – 15:50

Product(ive) Data Science

Julie Hollek – Sr Data Scientist, Twitter

15:50 – 16:10

COFFEE BREAK & Networking

16:10 – 16:40

The Open Data Science Platform

Andy Terrel – President, NumFocus

16:40 – 17:00

Data Scientists are Educators!

Hillary Green-Lerman – Senior Curriculum Lead, Data Camp

17:00 – 17:30

Recent Advances in NLP and How they Impact Trading

Brittany Rockwell – AI Scientist, National Bank Financial

17:30 – 18:00

Interpretable Predictive Models in the Healthcare Domain

Sridharan Kamalakannan – Principal Data Scientist, Humana

18:00 – 18:05

CLOSING REMARKS

Anna & Jeremy – FormulatedBy

What people are saying

“The Data Science Salon series is the most important new conversation happening in the industry right now.” Eduardo Arino de la Rubia

Domino Data Lab

“Their conferences are smaller, more intimate, with lots of opportunities for workshops and networking, which helps fill that need in the data science community to get together from time to time.” Roger Magoulas

O’Reilly Media

“I think it’s easy to get preoccupied with the project of the day. What I appreciate about the Data Science Salon is that it’s a conference I actually want to go to – it’s fun, you learn some great things, you meet some great people, and at the end of the day you feel energized rather than drained. It’s taken me out of my silo and put me in the community. I think it’s great.” Jack Parmer

Plotly

“Both Viacom and Data Science Salon are known for being at the forefront of their fields. We’re proud to provide a platform for DSS, and to host the most relevant conversations on data science in media and entertainment.” Das Dasgupta

Viacom

When

Thursday, February 21, 8:00 AM – 7:00 PM CST

Friday, February 22, 8:00 AM – 7:00 PM CST

 

Where

Dell – Round Rock 2, East Entrance,

501 Dell Way, Round Rock,

TX 78664

Contact

info@formulated.by

(415) 322-0760

DATE AND TIME

Thursday, February 21, 2019

8:00 AM – 7:00 PM CST

Friday, February 22, 2019

8:00 AM – 7:00 PM CST

LOCATION

Dell – Round Rock 2, East Entrance,

501 Dell Way, Round Rock,

TX 78664

Contact

info@formulated.by

(415) 322-0760