Thursday, November 19th (Day 1) Data Engineering & Cloud Computing

Designing and implementing the tools and architecture for an analytics infrastructure can be complex. Considerations for scalability, tools, the right frameworks (open source or proprietary), platforms (on-premise, cloud, or hybrid), integration, adoption and migration, and security will help you build the right data infrastructure.

These sessions will help you learn to build an analytics infrastructure that unlocks the value of your data.

Friday, November 20th (Day 2) Data Science, ML & AI

Asking the right questions, manipulating data sets, and creating visualizations to communicate results can be challenging. Which frameworks, tools, and languages should you use to accomplish your goals?

These sessions will bring together data science, machine learning, and aritificial intelligence thought-leaders that will dive deep to showcase real-world scenarios and applications to help you in your journey to solve your organizations most complex problems.

2

Days

25+

Speakers

3000+

Attendees

100+

Prizes

Why attend #PHXDATA20 Virtual Summit?

Reasons to Attend

  • Learn about real-world use-cases from companies transforming their business.
  • Gain knowledge through best practices for productionizing data platforms on-prem and in the cloud.
  • Learn about the latest data science, ML & AI frameworks.
  • See how leading companies successfully approach digital transformation.
  • Get insight into how data and AI together are unified to innovate business
  • Gain deeper understandings of industries shaping the future.
  • Expand your personal network by connecting with other practitioners and thought-leaders.

Who Will Attend

  • Data Engineers
  • Data Analysts
  • Data Scientists
  • Cloud Engineers
  • Cloud Architects
  • Cloud Developers
  • Cloud Administrators
  • Data Practitioners
  • Business Executives

#PHXDATA20 Speakers Will Be Announced on Nov 1st! 2019 Speakers

Hari Gottipati

SVP, Head of Data Engineering
Marsh

Ron Zhang

Director of Engineering
Oshkosh Corporation

Swati Shah

Lead Technical Product Manager
PayPal

Srivatsan Srinivasan

Chief Data Scientist
Cognizant

Shashank Kapoor

Machine Learning Engineer
American Express

Thejas Nair

Director of Engineering
Cloudera

Robert Sanders

Director of Big Data Engineering
Clairvoyant

Jordan Birdsell

Chief Machine Learning Architect
phData

Lenin Aboagye

Chief Security Architect
Kogni

Carlos Morillo

Solutions Engineer
Unravel Data

Kiran Ramineni

Sr. Data Scientist
Intel

Priyanka Mishra

Technical Product Manager
Paypal

Moussa Koulbou

Director of Engineering
Edgenuity

Ravishankar Rajalingam

Sr. Solutions Architect
Databricks

Sindhu Pillai

Sr. Business Systems Analyst
PayPal

Michael Arnold

Principal Systems Engineer
Clairvoyant

Curtis Bennett

Solutions Architect
Vertica

Ravneet Ghuman

Sr. Data Scientist
American Express

Raghav Jandhyala

Sr. Director, Product Management
SAP

Gopal Swaminathan

Director, Client Success
Saama

Ram Pedapatnam

Lead Data Engineer
Clairvoyant

Crystal Taggart

Founder, Data Scientist
Atlas AI

Tanya Jackson

Sr. Solutions Engineer
Gray Matter Systems

Hui Huang

Founder
Sparx Lab

Partha Rangachari

Data Practice Leader
Sogeti

Charles Zhan

Sr. Data Scientist & Engineer
Carvana

Network Connect with industry peers!

Meet other data engineering and data science thought-leaders and practictioners and expand your network!

Schedule Tracks & Sessions:

This year the conference will take place over 2 days and broken into 2 tracks to provide even more great speakers and content.

Please check back on November 1st for the full conference schedule.

Community Support 2019 Sponsors