Wednesday, August 30, 2023

11:00 AM ET | 8:00 AM PT

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About

The second installment in the Improve series, Improve: Data is a one-day virtual event that will focus on how organizations can best use the data they collect by improving where and how it is stored, enabling analysis, ML and AI, and using the data to make better business decisions.

Sessions

Nagender Gurram

Senior Director of Software Engineering

Capital One Software

KEYNOTE:

How to Unleash Your Data With Sloped Governance

To unleash the power of your data, you need to empower your team. Data analysts and scientists should be able to quickly find and use data, enabling them to create new analyses and insights that drive business value. In this session, Capital One Software will share how sloped governance can help build an experience that empowers teams to unleash your data while adhering to enterprise standards.

Michael Lee

Solution Engineer I

Melissa

What Is Data Quality, and Why Is It Important?

Maintaining accurate customer data is essential for businesses to thrive and make informed decisions in today’s ever-changing data landscape. This presentation covers the core concepts of Data Quality, the Data Quality Life Cycle, and the payoff businesses can expect by detecting bad data, fixing it, and monitoring it over time for continued accuracy and reliability.

Vikram Gundeti

VP and Distinguished Engineer

Foursquare

Machine Learning and Empowering a New Wave of Intelligence for Everyone Everywhere

Everywhere you look, organizations are facing resource limits. These resource constraints will give birth to new and disruptive innovations in 2023 and beyond. Developers will enable new modalities of interaction that are even more natural to human beings: vision and language. In this session, Vikram will share an engineer's point of view on data analytics in the year ahead, speaking on the need to reimagine optimized solutions that make impactful and data-driven results. These focuses include the rise of data visualization, conversational dwarfing the usage of SQL, increasing investment in knowledge graph technology and the shift from regulation-compliant to privacy-forward.

Shadi Rostami

SVP of Engineering

Amplitude

Eliminating the Data Insights Bottleneck with Self-Serve Data Tools

Shadi Rostami believes there are two types of data leaders: the ones that centralize data analytics within their team; and those that empower teams to pull their own insights directly from data. During this conversation, Shadi will discuss why a centralized approach no longer works for companies looking to keep pace with industry innovation, and why teams need to accept their non-technical peers as data-driven decision-makers—with the right tools in place.  In this talk, Shadi will highlight the need for self-serve data and how companies can take the first steps toward democratizing data access. Audience members will leave with an understanding of: 

• How to implement self-serve data tools and create a data-driven culture across the entire organization  

• Best practices for democratizing data access to non-technical teams and decision-makers so they can derive critical business insights without data team intervention 

 

• How to prioritize data quality across the organization and ensure data collection is accurate, complete and consistent

Vincent Lam

VP Marketing and Strategy

CData

Choosing Between Data Virtualization and ETL

As organizations rely on ever more applications, systems, and data storage in the cloud and on-premises the problem of inaccessible siloed data continues to grow. The problem is no longer having the data – it’s getting to the data you need. Data integration technologies such as data virtualization and ETL/ELT offer different ways to solve this problem. In today’s complex environment, how do you know which technology should be employed? Do you need just one or both? In this session, we’ll provide a holistic view of the data integration landscape and provide best practices for implementing and choosing these technologies. You’ll learn how to leverage this broad ecosystem to get the right data to the right teams at the right time.

Sumit Pal

Strategic Technology Director

Ontotext

Creating Competitive Advantage by Understanding Data Context

Organizations have spent untold money and time gathering and integrating data. While Big Data was all the rage, now “small and wide” data is a focus, giving more specificity to the information being developed. However, data without context can yield incorrect insights, leading to potentially dangerous decisions. Beyond that, and without a way to visualize, connect, and utilize the data, it’s still just a bunch of data without associated wisdom.   In this session, attendees will learn why: 

• Delivering value from data requires working from a trusted semantic foundation shared and accessible across the enterprise, with context to drive usage.  

• Connecting data producers with data consumers delivers the collaboration needed to make this information actionable and meaningful. 

• Enhanced meta data enables organizations to better understand and access all of their data with context to gain a shared understanding and description of their information assets.

Anil Inamdar

VP & Global Head of Data

Instaclustr

Considering 100% Open Source Data Technologies? Here’s How to Bulldoze Any Barriers to Success

Deployed, managed, and scaled properly, 100% open source data technologies can be one of the best decisions—both strategically and economically—that organizations make. But ensuring success with fully open source database requires adhering to best practices.  This talk will answer questions about open source data-layer strategy, including:

   

• Will open source data technology resources and support match what I’ve come to expect from proprietary data solutions? 

• Will open source data-layer projects have as many features, capabilities, and functionalities as I’m getting from proprietary solutions? 

• Is there enough standardization among open source data technologies, so that I can switch between different projects and integrate them with our existing software? 

• Am I confident I’m navigating the legal and licensing questions that arise when using open source data-layer technologies?   

This Improve: Data talk will offer specific strategies for how and where you can vet fully open source data-layer technologies in a way to give you the confidence to make the move.

Naggi Asmar

Chief Engineering Officer

Matillion

Accelerating Productivity for Modern Data Teams

Matillion's Naggi Asmar explores the state of data in the modern world, how we got here, where we’re going, and practical strategies aimed at empowering data teams to boost their productivity and make a substantial impact within their organizations.

Full Agenda

Sponsors

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