People + Data
Welcome to our fifth virtual summit.
This fall, we’ll focus on cutting through the noise to spotlight the role of social interaction and collaboration in the age of data. We’ll explore how it takes people + technology working together to successfully enable DataOps, design for data mesh, build data products, and win with agile data governance.
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Senior Research Fellow
Institute for Research of Intelligence Methodology
Innovation Fellow, Data & Analytics Strategy
Vice President of Data Engineering & Platform Analytics
Head of Data Governance
Penguin Random House UK
Product Owner Digital Products
Head of Product, Data Platform
Vice President, Strategy & Operations
SME Solutions Group
Senior BI Developer
Principal Product Manager
Amazon Web Services
Sr. Manager Data Strategy & Governance
Senior Manager, Data Engineering
Vice President, Partner Marketing
Director, Product Engineering
CEO and Co-Founder
CPO and Co-Founder
Chief Customer Officer
Marie Chatfield Rivas
Head of Strategic Partnerships
Sr. Partner Marketing Manager
CEO & Co-Founder, data.world
The Invention of Data
Innovation Fellow, Data & Analytics Strategy, West Monroe
The Business Case for a Chief Data Officer
The need for an executive responsible for an organization’s information assets today may seem obvious. But some organizations still struggle with making a business case for the role. And even existing chief data officers can be confounded about how to formally justify their existence. This session will share eye-popping findings and analyses from Mr. Laney’s study of hundreds of organizations with and without a CDO.
As any good scientist knows, and any good data scientist should know, most discoveries begin with a hypothesis. We see a lot of surveys about the CDO role but don’t really have much of a point to make or look at the impact a CDO makes. This study examined over 500 organizations to determine how businesses with a CDO operate differently, including:
- Do organizations with a CDO benefit in any way?
- How does having a CDO affect the level of data quality and data governance?
- How does having a CDO affect data democratization and monetization?
- How does having a CDO affect the ability of an organization to value its data?
- Is there a difference between actual C-level CDOs and those who are not?
- How do investors feel about companies with a CDO?
- Where do great CDOs come from and what is their desired career path?
Vice President of Data Engineering & Platform Analytics, Rapid7
Data Engineer, Rapid7
Senior Manager, Data Engineering, Rapid7
Senior Data Engineer, Rapid7
Taking Control of Your Data Workload - How to Get Out of Ticket Jail and Focus on Building an Innovative Data System
Do you ever feel like you’re stuck working through a pile of data tickets when you’d rather be designing the next data mesh or metrics store? We feel you, and we’ve been there too. In this session, we will discuss strategies to get ahead of the never ending one-off data requests and sustainably prioritize investing in the data roadmap needed to move the business forward.
Senior Fellow, Institute for Research of Intelligence Methodology
Data Intelligence: the Big-Data Revolution in the Intelligence Community
The more complicated data processes get, the more they are relegated to the technical people, while business experts stay out of the loop. But it’s critical that we get the non-technical people to be a committed part of the process, from defining the questions, through choosing databases, defining KPIs, and monitoring results. In order to harness the potential of ML and big data, we at the Israeli Intelligence Community went through a major shift in our work processes, organizational data culture, technical systems, and even organizational structure. I will show you what we learned, the structured processes we developed, and what I think the next steps are. There’s also a lot to be learned from where we had difficulties along the way.
VP, Marketing, data.world
The Catalog Evolution from Data Discovery to Semantic Layer
Head of Data Governance, Pengin Random House UK
Struggles of Setting up a Data Governance Program
Head of Strategic Partnerships, data.world
CEO, Clean Data Inc.
Panel Discussion: Bringing Your Data into Modern Era on the Cloud
Depending on what milestone you use, companies have been using “cloud computing” in their infrastructure for the better part of 3 decades. Why then do we still see so much discussion (and resistance) around “migrating to the cloud”, especially as it relates to the modernization of data infrastructure that is happening right now? With concepts like Data Mesh and Data Fabric, that support and extend disparate data storage and ownership, it is essential that organizations understand the best way to combine technology, process, and people to maximize the returns from their data.
This panel will examine current trends in data modernization, migrations between different software, physical locations, and types of infrastructure and process, and how cloud is a necessary part of any modern data implementation.
CPO & Co-Founder, data.world
Meghan Therrien Director, Data Governance, Indeed
Real Life Agile Data Governance
Product Owner Digital Products, OneWeb
Vice President of Product Marketing, DataOps.live
Sr. Partner Marketing Manager, data.world
Data from Space to End Users in Minutes with DataOps.live and data.world
Imagine a satellite goes out to space and once it opens up and starts transmitting data back to earth, that data immediately flows through an orchestration and data quality system delivering data products in a data cloud, which immediately gets cataloged and accessible for consumption by all users of the organization. All of this in a matter of minutes. This imagination is a reality for OneWeb, a communications company that builds broadband satellite internet services, by working with DataOps.live and data.world. In this talk, you will learn about how OneWeb was able to get from POC to production in 4 weeks, and to a fully self-service data hub within 1 year.
Principal Product Manager, Amazon Web Services
Building Data Mesh Architectures on AWS
What is DataOps and How it is Transforming the Modern Data Infrastructure
The holy grail of data intensive applications has been faster, cheaper and better. This can be translated into improving cycle times, making developers and engineers more productive and reducing error rates. This is the promise of DataOps.
In this session, Sanjeev Mohan, a principal with SanjMo explores the components of DataOps stack and its overlap with the wider metadata management world of data catalogs and data observability.
Head of Product, Data Platform, Convoy
Bridging the Data Silo with Data Contracts
Chief Customer Officer, data.world
Service Packages Launch
Vice President, Strategy & Operations, SME
Senior BI Developer, SME
Maximizing your data.world Implementation
Staff Engineer, data.world
From Aioli to Za’atar: Creative Catalog Use Cases
You keep hearing that data.world has a flexible, open platform—but just how flexible is it, and can it really handle your use case? Join data.world’s most whimsical catalog creator for a hands-on demonstration of the power of the platform.
We’ll use data.world to search for the perfect recipe using intuitive filters like protein sources and dietary restrictions, query a catalog of superhero movies to determine the best rom-com director, and use lineage to model the flow of data between micro-services. Our next-generation knowledge-graph powered data catalog will inspire you to create bold new possibilities for your team.
VP, Product, data.world
Director, Product Engineering, data.world
What's New and What's Next
Catalog & Cocktails Special Edition - Live from London!
People + Data