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Datax New York NovemberNov 06 2019 - NovemberNov 07 2019 Europe/MadridNew York, United States

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DATAx New York is a cross-industry event for business leaders, strategists, and practitioners looking for best practices and strategic insights to help increase business growth and gain marketplace advantage.

DATAx provides a unique blend of data-focused content tailored to help you find real-world solutions to common challenges.

Our program is specifically curated to examine the most relevant topics on the minds of data scientists and business decision-makers. With an emphasis on collaboration, DATAx is the event where the technical and strategic conversations that change business models are started.

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New York, United States

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Nov 06 07:00
Breakfast
Nov 06 08:20
Opening Welcome
Nov 06 08:30
CDO KEYNOTE PANEL DISCUSSION: Implementing an Effective Business-wide Data Strategy
Nov 06 09:00
GENERAL SESSION: The Future of the Data Stack: How to be Successful in Your Own Transformation
Nov 06 09:30
Roundtable Session
Nov 06 10:00
MORNING NETWORKING BREAK
Nov 06 10:30
Chairman Welcome
Nov 06 10:35
Fueled by Data & Exponential Technologies – The Cognitive Enterprise – (Track 1)
Nov 06 10:35
USE CASE: Going Beyond Big Data: Taking ML to the Next Level – (Track 2)
Nov 06 11:05
THOUGHT LEADERSHIP: Maximize the Value of Your Data: Transform Your Business – (Track 1)
Nov 06 11:05
Using AI & ML to Anticipate Patient Needs – (Track 2)
Nov 06 11:25
USE CASE: Designing a Data Science Center of Excellence (CoE) – (Track 1)
Nov 06 11:55
THOUGHT LEADERSHIP: ModelOps: The Key to Conquering Analytics’ Last Mile – (Track 1)
Nov 06 12:15
Overcoming Organizational Challenges In Data Science – (Track 1)
Nov 06 12:15
PANEL DISCUSSION: Governing Mass Data – Deploying AI in the Highly-Regulated Health Science Environment – (Track 2)
Nov 06 13:00
Lunch
Nov 06 14:00
A History of Making Data Science: AIG, Amazon & Albertsons – (Track 1)
Nov 06 14:30
Human Side of Data – The Application of Design for Data Products – (Track 1)
Nov 06 15:00
PANEL DISCUSSION: Using the Power of Data to Drive Business Growth – (Track 1)
Nov 06 15:00
Scalable & Agile Machine Learning Strategies – (Track 2)
Nov 06 15:30
How Hopper Creates Data-Driven Customer Value – (Track 1)
Nov 06 15:50
AFTERNOON NETWORKING BREAK
Nov 06 16:20
PANEL DISCUSSION: Utilizing AI to Transform Enterprise Risk Management – (Track 1)
Nov 06 16:50
Kick-Off Party and Speaker Meet & Greet
Nov 07 07:00
Breakfast
Nov 07 08:30
Opening Welcome
Nov 07 08:45
KEYNOTE: How to Effectively Build a Data Team
Nov 07 09:15
KEYNOTE: How to Go from Data Poor to Data Rich Without Getting Sidelined by Compliance Rules
Nov 07 09:45
KEYNOTE ADDRESS: How to Effectively Leverage AI & Machine Learning to Achieve Powerful Business Results
Nov 07 10:30
MORNING NETWORKING BREAK
Nov 07 11:00
DATAx Lab: Data Visualization with Tableau
Nov 07 11:05
USE CASE: How Getty Images Is Balancing Insights, Algorithms & Data Engineering to Increase Revenue – (Track 1)
Nov 07 11:05
USE CASE: WW’s Strategies to Build An In-House Machine Learning Framework – (Track 2)
Nov 07 11:35
How to Present Test Results to Inspire Action – (Track 1)
Nov 07 11:35
Microservices, Plugins, and Integrations: Strategies and Technologies That Drive Adoption of Data Science Solutions at JW Player – (Track 2)
Nov 07 12:05
Using Contextual Ad Targeting to Drive Higher Conversion Rates – (Track 1)
Nov 07 12:05
USE CASE: Verizon Media’s Real-Time Enterprise – (Track 2)
Nov 07 12:35
THOUGHT LEADERSHIP: Algorithm vs. Data – What You Should Know Before Implementing Al – (Track 1)
Nov 07 12:55
LUNCH
Nov 07 14:00
USE CASE: How Airbnb Utilizes Data UX – (Track 1)
Nov 07 14:30
Data Analytics – (Track 1)
Nov 07 14:30
MLOps: Challenges and Progress in Deploying Machine Learning in Production – (Track 2)
Nov 07 15:00
Afternoon Break
Nov 07 15:15
Afternoon Greeting
Nov 07 15:20
GENERAL SESSION: Harnessing the Power of Data to Impact Humanity
Nov 07 15:50
GENERAL SESSION: Reality Isn’t for Everyone
Nov 07 16:20
KEYNOTE: Robots to the Rescue
Nov 07 16:45
End of DATAx NY
Nov 07 16:50
Closing Remarks

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