Cloud Data Summit

Date: October 16-17, 2019


Jay Natarajan

Jay Natarajan

US AI Lead, Microsoft

Lead Architect, Microsoft

Barr Moses

Barr Moses

Co-founder & CEO of Monte Carlo Data

Joshua Cottrell

Joshua Cottrell

Co-founder & Consultant

Cottrell Consulting

Jeff Baird

Manager of Data & Integration Services


Joseph Perez

Dr. Joe Perez

Senior Systems Analyst, Team Lead NC Department of Health and Human Services

Daniel O’Connor

Daniel O'Connor

Head of Product Data Practice

Aware Web Solutions Inc.

Eric Axelrod

President & Chief Architect, DIGR

Executive Advisor, AdvisoryCloud

Kurt Cagle

Kurt Cagle

CEO of Semantical LLC, Contributor to Forbes and Managing Editor of Cognitive World

David Flynn

CEO and Co-founder at Hammerspace

Investor and Board Advisor at Excelero


Deal Daly

Field CTO, Hammerspace

Advisor, SMJ

Dan Linstedt

Dan Linstedt

Inventor of Data Vault Methodology

CEO of LearnDataVault

CTO and Co-Founder of Scalefree.


Gary Cokins

Founder and CEO, Analytics-Based Performance Management LLC


How to craft high level data strategy to become an AI company

Jay Natarajan

In the world of AI, getting your data strategy right would help you to transform your organization and unlock new use cases for AI and ML.

In this session we will address how to craft high level data strategy to become an AI company.

How elastic cloud Data Warehousing platforms like Snowflake and BigQuery make Data Vault very practical, and how these platforms allow for drastic architecture changes once you are no longer bound by the constraints of traditional database & data integration platforms.

How the Cloud transforms data architecture

Dan Linstedt

Do you trust the data or ‘go with your gut?’ When there’s a discrepancy between gut feeling and a report sitting on a desk, 90% of decision makers will go with their 'gut feel' over the data.

Jeff Baird

  • Several years ago, Jeff Baird decided to see if he could influence 'the gut feel' and affect what should be an objective KPI.
  • He partnered with the Data Science team at Utah Valley University to set up a booth giving away fresh cookies. They asked the students to tell them which cookie tasted best.
  • Like with any good research, there was a twist. Jeff will share how he was able to affect which cookie was better.
  • As well as 3 unexpected and unconventional tips to help make you and your data more persuasive and influence decision makers.

The concept of “data downtime” — periods of time when your data is partial, erroneous, missing or otherwise inaccurate.

Data downtime is highly costly for data-driven organizations and affects almost every team, yet is often addressed ad hoc in a reactive manner.

We’ll discuss why data downtime matters to the data industry, signs you may have a data downtime problem, how to address it proactively, and the incredible leverage you’ll provide to your company and customers if you do.

Why data downtime matters to the data industry, signs you may have a data downtime problem, how to address it proactively,

Barr Moses

Making Data Actionable: From Concept to Reality

Dr. Joe Perez

American mathematician John Tukey once said, "The greatest value of a picture is when it forces us to notice what we never expected to see."

What value do you see in your data? And what ideas do you have when you see it?

Learn how you can capitalize on your ideas and turn them into reality by blending the internal with the external, leveraging them into a cohesive strategy for both the short term AND the long term.

See the five "Stages of the Spectrum" in action while discovering the difference between impact and influence, and how that plays into making data actionable.

An emerging application built around triple stores, knowledge bases are likely to become a central facet of enterprise data management, providing a bridge that connects content management, event streams and traditional data stores.

Join Forbes writer Kurt Cagle as he illustrates one such knowledge base and examines the implications of this tech in the AI space.

Democratizing Data: Knowledge Bases and Semantic Hubs

Kurt Cagle

The importance of good data visualization

Joshua Cottrell

Dashboards close cloud data deals.

Dashboards should be an integral part of that strategy.

His experience building dashboards and command centers for Google, Apple, Lego, Gatorade, Microsoft and others (from the sales cycle all the way through to hand-off)

Why dashboards worked so well to close those deals and win project buy-inCommon dashboard use cases and pitfalls to avoid.

How to integrate dashboards into the early stages of your project/sales cycleBalancing actionability and visual design

Trends like hybrid multi-cloud make infrastructure complex, and all the design points for storage, either as appliances or services, further complicate the journey towards digital transformation.

We are weighed down by the idea that data gravity restricts our options for what and where we can consume data, but what if there was a better way to make data available to users?

In this conference, David Flynn will deconstruct our preconceptions of how to manage data on the hybrid multi-cloud; improving the agility, efficiency, and control of data across the organization.

Defy Data Gravity with Data-as-a-Service

David Flynn

How the cloud changes Product Information Management

Daniel O’Connor

Head of Product Data Practice

Aware Web Solutions Inc.

The cloud has profoundly changed how product data is created and syndicated between manufacturers and retailers across the globe.

From decreasing the Time-to-Market of products to reducing the cost of managing the systems required for Product Information Management, the cloud has provided all sizes of businesses the opportunity to improve their data quality.

Yet data quality is still not getting significantly better even as retailers put more pressure on their vendors to provide more content.

Gone are the days of jobs taking days to run, constant server capacity bottlenecks, and restricting business initiatives based on your ability to implement and manage systems.

Cloud IaaS, PaaS, and DWaaS platforms have fundamentally changed how systems are deployed and workloads are managed.

Many things are different. But some remain the same. Cut through the hype and see exactly how others have successfully migrated data platforms to the cloud.


Eric Axelrod

Upcoming Events

North America

May 26-27, 2020

Asia Pacific

June 21-22, 2020

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