Presented by

MIAMI, SEPTEMBER 10-11

APPLYING AI & MACHINE LEARNING TO FINANCE, HEALTHCARE & Hospitality

The data science salon 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 decisionmakers in data science in an intimate setting at Data Science Salon MIA, the only vertically-focused industry conference series around applications AI and Machine Learning in Finance, Hospitality, and Healthcare. 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 MIA, 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 Salons are one or two- day events hosted at Blue Chip companies. Over 50% of our 200-500 attendees at each conference are data decision makers (Sr. Data Scientists and above). And we are the only data science conference with a gender balance in our speaking roster.

WHAT TO EXPECT

Data Science Salon Miami provides a common framework for thinking about what Machine Learning and AI means to the finance, healthcare and hospitality industries. The conference is organized into two days:

Day one consists of a mix of technical and conceptual hands-on workshops. You will walk away with actionable insights from those working on the frontlines of Machine Learning in the enterprise.

Day two consists of one general track covering: machine learning and AI applications in finance, healthcare and hospitality and specific break out sessions for finance and healthcare use cases.

Every major application of Machine Learning in finance, healthcare and hospitality will be covered.

A SAMPLE OF TOPICS COVERED

Putting ML Apps into production

PERSONALIZATION AT SCALE WITH AI

CLOUD AUTOMATION AND MACHINE LEARNING

Building ML pipelines to generate decisions faster

Natural Language Processing & Deep Learning

Engineering for Data Science

Scaling ML Production

Data Science Teams: Managing, Building, Collaboration

Improving Data Quality

Machine learning best practices

Data strategy and governance

Data ethics and bias

AND MORE!

data science execs and practitioners

Speakers

Days & tracks

Immersive experience

Meet our Speakers

Matt Denesuk

SVP, Data Analytics & AI ,
Royal Caribbean Cruises Ltd.

Sangeeta Krishnan

Former Director, Enterprise Data Management & Strategy
Asembia

Laura Gabrysiak

Data Scientist,
VISA

Douglas Hamilton

Chief Data Scientist,
NASDAQ’s Machine Intelligence Lab

Aaron Cheng

VP of Data Science & Solutions,
Dotdata

Jason Dolatshahi

Director of Data Science,
Stash

Derek Plansky

Principal,
Informatic Ideas

Nathan Black

Chief Data Scientist,
QuantHub

Connie Yee

Data Scientist,
Bloomberg

Hong Wang

Data Scientist,
Independent Purchasing Cooperative

Moody Hadi

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

Leah Forkosh Kolben

Co-founder & CTO,
cnvrg.io

Michael Zelenetz

Analytics Project Leader,
New York Presbyterian Hospital

Dalela Bharati

Product Owner- Data & Analytics,

Rochelle March

Senior Analyst,
Trucost

Catalina Arango – Founder and CEO, Extrations

Catalina Arango

Data Scientist,
Florida Power & Light Company

Manasi Vartak

Co-founder and CEO,
Verta.AI

Jeff Sharpe

Manager / Master Software Engineer,
Capital One

Niraj Tank

Sr. Manager, Software Engineering,
Capital One

Manojit Nand

Senior Data Scientist,
JPMorgan Chase & Co.

Stanislaw Schmal

Data Analytics & Strategy Lead,
Lufthansa Industry Solutions

Joshua Malina

Senior Machine Learning Engineer,
AMEX

Surya Gupta

Postdoctoral Researcher,
VIB-UGent

Carlos Ariza

Chief Data Scientist,
Creative Artists Agency

Rupal Agrawal

AVP, Data Analytics and AI,
Royal Caribbean Cruises Ltd.

David Whitney

Neural Research/Data Scientist,
Max Planck Florida Institute for Neuroscience

Michelle Coca

AVP, Data Scientist, Business Intelligence & Analytics,
Amerant Bank

Hemalatha B Raju

Lead Data Scientist,
Biorasi

Charles Alcorn

Head of Data Science,
Roche Molecular Systems

Joseph Salvatore

Director of Data Science,
Idea Financial

media partners

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 – A Sustainable Agenda: Using ESG data to quantify company and portfolio impact
Moody Hadi, Group Manager – Financial Engineering at S&P Global Market Intelligence & Rochelle March, Senior Analyst at Trucost

9:45 am – 10:05 am – Processing Raw Financial Data: Challenges and Solutions
Connie Yee, Data Scientist at Bloomberg

10:10 am – 10:40 am – Improving Data Quality
Michelle Coca – AVP, Data Scientist, Business Intelligence & Analytics at Amerant Bank

10:45 am – 11:15 am – Re-Inventing Customer Engagement using Machine Learning
Laura Gabrysiak, Decision Analytics Architect at VISA

11:15 am – 11:35am – Coffee & Entertainment
Networking, Exhibitor Meet & Greet

11:35 am – 12:05 pm – Operationalize ML by Empowering People
Jeff Sharpe, Manager / Master Software Engineer at Capital One & Niraj Tank, Sr. Manager, Software Engineering at Capital One

12:10 pm – 12:30 pm – Cloud Automation and Machine Learning
Leah Forkosh Kolben, Co-founder & CTO at cnvrg.io

12:35 pm – 1:05 pm – AI and the Index Management Problem
Douglas Hamilton, Chief Data Scientist at NASDAQ’s Machine Intelligence Lab

1:05 pm – 2:00 – Lunch & Sponsor Table Crawl
Networking, Exhibitor Meet & Greet

2:00 pm – 2:45 pmPanel – AI & ML Trends and Applications in Finance
Moody Hadi, Group Manager – Financial Engineering at S&P Global Market Intelligence
Jeff Sharpe, Manager/Master Software Engineer at Capital One
Laura Gabrysiak, Data Scientist at VISA
Joseph Salvatore, Director of Data Science at Idea Financial

2:50 pm – 3:20 pm – Fraud Prevention from the Ground Up
Jason Dolatshahi, Director of Data Science at Stash

3:25 pm – 3:55 pm – Privacy and Algorithmic Fairness
Manojit Nand, Senior Data Scientist at JPMorgan Chase & Co.

3:55 pm – 4:15 pm – Afternoon Coffee
Networking, Exhibitor Meet & Greet

4:15 pm – 4:45 pmTime Series Analysis with Pandas
Joshua Malina, Senior Machine Learning Engineer at AMEX

4:50 pm – 5:10 – Being Agile when Developing AI Products
Manasi Vartak, Co-founder and CEO at Verta.AI

5:15 pm – 6:00 pm – DSSe Panel
Catalina Arango, Data Scientist at FPL
Michelle Coca, AVP, Data Scientist, Business Intelligence & Analytics at Amerant Bank
Hong Wang, Data Scientist at Independent Purchasing Cooperative
Rochelle March, Senior Analyst at Trucost

6:00 pm – 8:00 pm – Opening reception

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 – Medical Content Management Concepts and A Roadmap to Support Clinical Decision Support Software in a Global Marketplace 
Charles Alcorn, Head of Data Science at Roche Molecular Systems

9:45 am – 10:15 am – Keep your Customers Happy with Data Analytics
Stanislaw Schmal, Data Analytics & Strategy Lead at Lufthansa Industry Solutions

10:20 am – 10:50 am – People, Ships, & Destinations: How the Cruise Industry will Drive Enterprise AI Innovation, and Make People Happier
Matt Denesuk, SVP, Data Analytics & AI at Royal Caribbean Cruises Ltd.

10:55 am – 11:15 am – Scale Your Data Science Practice with Automation
Aaron Cheng, Vice President of Data Science and Solutions at dotData

11:15 am – 11:35am – Coffee & Entertainment
Networking, Exhibitor Meet & Greet

11:35 am – 12:05 pm – Rocky Journey to AI Adoption
Sangeeta Krishnan, Former Director, Enterprise Data Management and Strategy at Asembia

12:10 pm – 12:40 pm – How I Learned to Stop Worrying and Love Graph Databases
Michael Zelenetz, Analytics Project Leader at New York Presbyterian Hospital

12:45 pm – 1:15 pm – Deep Learning Applications in the Biosciences
David Whitney, Neural Research/Data Scientist at Max Planck Florida Institute for Neuroscience

1:15 pm – 2:15 – Lunch & Sponsor Table Crawl
Networking, Exhibitor Meet & Greet

2:15 pm – 2:35 pmHuman Machine Learning
Nathan Black, Chief Data Scientist at QuantHub

2:35 pm – 3:20 pmMachine Learning Best Practices Panel
Derek Plansky (Moderator), Principal at Informatic Ideas
Carlos Ariza, Chief Data Scientist at Creative Artists Agency
Rupal Agrawal, AVP, Data Analytics and AI at Royal Caribbean Cruises Ltd.
Hemalatha B Raju, Ph.D., Lead Data Scientist at Biorasi

3:25 pm – 4:05 pm – A Product Development Approach to Improving Data Quality
Dalela Bharati, Product Owner- Data and Analytics at Booking.com

4:05 pm – 4:35 pm – Afternoon Coffee
Networking, Exhibitor Meet & Greet

4:35 pm – 4:55 pm – The Tabloid Proteome: Orthogonal use of public proteomics data to derive biologically related protein network
Surya Gupta, Postdoctoral Researcher at VIB-UGent

4:55 pm – 5:25 pm – AI and ML for the Data Quality of Clinical Trial Studies
Hemalatha B Raju, Ph.D., Lead Data Scientist at Biorasi

5:25 pm – 5:35 pmClosing Remarks

attendees from

And many more!

DATE AND TIME

Sept 10  |  8:00 AM – 8:00 PM EST

Sept 11  |  8:00 AM – 6:00 PM EST

 

LOCATION

CIC Miami,

1951 NW 7th Ave

Miami, FL 33136

 

Contact

info@formulated.by  |  (415) 322-0760