WEBINAR PANEL

HOW TO DEMOCRATIZE DATA AND SCALE AUGMENTED ANALYTICS

Tuesday, June 29, 2021

11:00 am PT (2:00 pm ET)
Gal Barnea
Database Engineering Lead, Amazon Redshift
Jay Schuren
SVP of Customer Success & Enablement
Kirk Borne, Ph.D.
Chief Science Officer
Daniel Gray
VP, Solutions Engineering
Dave Mariani
Co-founder & Chief Technology Officer
Your Moderator

Learn from top strategists and technologists about actionable strategies to effectively democratize data and scale augmented analytics.

You’re invited!

Join this webinar panel for practical advice on how to evolve your business intelligence with augmented analytics, scale data science initiatives, break down enterprise data silos, and optimize your cloud analytics infrastructure at scale.


The discussion will focus on making more data accessible to various stakeholders across your organization and integrating predictive and prescriptive analytics to support smarter data-driven decision-making at scale.

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In this webinar

You will learn about:

  • Democratizing data: making data as consumable as possible while keeping things safe and clean with data stewardship, curation and governance.
  • Augmented Analytics: scaling machine learning, augmented, predictive and prescriptive analysis strategies as they apply to faster insights and business outcomes
  • Integrating AI and BI: sharing AI/ML model outputs with enterprise BI teams to create a 360 degree feedback loop.
  • Data Literacy: the role of a semantic layer as part of a broader data fabric that forms a central repository of enterprise metrics to support self-service BI and scalable data science programs.
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Who should join

Data and analytics leaders and practitioners (including Chief Data Officers, data scientists, business intelligence, and analytics professionals) who are looking to make data more accessible to everyone in their organization.

REGISTER

Speakers
Gal Barnea
Database Engineering Lead, Amazon Redshift
AWS

Gal leads the Database Engineering team at Amazon Redshift. In this capacity, Gal works closely with Redshift’s most strategic customers word-wide to optimize and maximize the business value they gain from their data warehouse. During his career, Gal built & lead engineering teams oversaw large-scale data and analysis initiatives and worked with some of the world’s largest brands. In his spare time, Gal enjoys cycling in the Bay Area hills and following way too much sports.

Jay Schuren
SVP of Customer Success & Enablement
DataRobot

Jay is an industry veteran who has been with DataRobot since 2017 as a Data Scientist and General Manager prior to his current role. Prior to joining DataRobot, Jay held research and leadership roles at Nutonian and the Air Force Research Laboratory, andBettis Atomic Power Laboratory. Jay holds a Ph.D. in Mechanical Engineering from Cornell University.

Kirk Borne, Ph.D.
Chief Science Officer
DataPrime, Inc.

Kirk has been an influetial globally recognized leader in the data science space for 20 years. His areas of passion and focus include Big Data & Data Science, Artificial Intelligence (AI), and Astrophysics. Kirk is also the co-creator of the field of Astroinformatics.

 

Daniel Gray
VP, Solutions Engineering
AtScale

Daniel Gray brings rich experience in technical solutions engineering as well as software engineering to his work with global enterprise organizations. Prior to joining AtScale to lead the Solutions Engineering team, Daniel spent many years in the analytics space including Hewlett-Packard’s Advanced Technology Center, Vertica, and Domino Data Lab. When he’s not in the office or onsite with customers, you’ll find Daniel running, climbing, hiking, and biking – basically anything outdoors.

Dave Mariani
Co-founder & Chief Technology Officer
AtScale

Dave is one of the co-founders of AtScale and is the Chief Strategy Officer. Prior to AtScale, he was VP of Engineering at Klout & at Yahoo! where he built the world’s largest multi-dimensional cube for BI on Hadoop. Mariani is a Big Data visionary & serial entrepreneur.