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Elevating Data Integration to Drive Innovation

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This summit is designed for leaders looking to modernize their organization’s data integration capabilities across analytics, operations and artificial intelligence use cases.

Analytics / BI

Leveraging integrated data to drive insights and inform business decisions.

Operational / Apps

Enhancing operational efficiency and app functionality with unified data.

Generative AI / LLMs

Feeding data into vector databases to deploy generative AI use cases and train LLMs.

Data Science / Models

Enabling robust predictive models and analysis through comprehensive data aggregation.

Data Sharing / Exchange

Streamlining the secure exchange of data across systems and stakeholders.

Data Engineering / ETL

Facilitating the preparation and management of data from multiple sources for analysis.

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Nexla logo

Brought to you by Nexla, the highest rated data integration platform on Gartner Peer Insights.


60 Ratings




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Highly capable, easy to use, and multi-purpose data integration

Reviewer Function: Data and Analytics
Company Size: 1B - 3B USD
Industry: Retail Industry

It has enabled my data team to scale in building data pipelines while ensuring data reliance and data quality automatically. Now it is also helping our IT team connect various enterprise systems together.

Amazing solution for data integration, transformation, and data pipelining

Reviewer Function: Product Management
Company Size: 10B - 30B USD
Industry: IT Services Industry

I am amazed to see the power of Nexla platform. The ease with which we are able to connect to our data systems is phenomenal. We are using the low code tooing to do things that we previously used to write code for.

Amazing solution for data integration, transformation, and data pipelining

Reviewer Function: Product Management
Company Size: 10B - 30B USD
Industry: IT Services Industry

I am amazed to see the power of Nexla platform. The ease with which we are able to connect to our data systems is phenomenal. We are using the low code tooing to do things that we previously used to write code for.

Good tool to speed up integrations and easily set ETL's with low tech experience

Reviewer Function: Product Management
Company Size: 1B - 3B USD
Industry: Services (non-Government) Industry

It helped a lot with the integration process with different partners, allowing to customize it in a friendly UI.

Easy, reliable data ETL service as long as you know what you want

Reviewer Function: IT Services
Company Size: 500M - 1B USD
Industry: IT Services Industry

I have successfully implemented data pipelines which sources data in numerous ways and formats and transforms them into our required format without much difficulty or scaling issue. Didn't face any blocker or limitation. Overall smooth implementation and daily operations.

Customizable ETL Pipelines Anyone Can Use

Reviewer Function: Software Development
Company Size: 30B + USD
Industry: IT Services Industry

There is a great team at the helm of this product that provides excellent service to my team on all of our use cases and inquiries. The turnaround to enhancements and fixes are very quick and has enabled non-engineers in my company to succeed in creating complex data pipelines.

Excellent Data Ingestion Tool

Reviewer Function: IT
Company Size: 50M - 250M USD
Industry: IT Services Industry

Nexla has provided a solution to us to ingest large data set for our large e-commerce clients. It gives the reliability and ease of use which helps us in every integration.

Easy and Fast data Integration Platform

Reviewer Function: IT Services
Company Size: <50M USD
Industry: IT Services Industry

Easy to build data Integration pipelines. Easy to do data transformations.

Awesome No code/ Low code Data Integration tool

Reviewer Function: Data and Analytics
Company Size: 1B - 3B USD
Industry: Retail Industry

Experience has been good so far. Nexla provides excellent customer support and helped us with custom connectors.

Easy to use and reliable for generating pipelines

Reviewer Function: Research and Development
Company Size: 500M - 1B USD
Industry: IT Services Industry

Easy to set up and start running (plug and play), great support team that solves any issues arrised.

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11:00 AM ET | 8:00 AM PT

Cara Dailey Chief Data Officer at T. Rowe Price

Saket SaurabhCEO & Co-founder at Nexla

Opening Keynote: The Future of Data Integration: Pioneering the Next Era of Innovation

Join Saket and Cara to learn how data integration systems will evolve in the years ahead and the essential need for organizational evolution in the data-driven business landscape. Explore the transformation of business strategies and Chief Data Officer (CDO) roles, recognizing their pivotal role in driving success. Learn from real-life examples showcasing the transformative impact of data products.

11:30 AM ET | 8:30 AM PT

Sanjay Reddy Chief Architect, Data at Vanguard

Navigating Data Engineering Challenges in Financial Services: Accelerating Time to Value and Adapting to Diverse Consumption Patterns

In this session, we tackle the data engineering hurdles specific to financial services, focusing on reducing time to value for heterogeneous data and catering to diverse consumption patterns like operations, analytics, and AI.

12:00 PM ET | 9:00 AM PT

Sangeeta Krishnan Sr Analytics Lead at Bayer

From Data Chaos to Decision Clarity

The world of data can be chaotic, with spreadsheets overflowing and reports conflicting. In this session, Sangeeta will cover the common problems in data strategy and how to avoid them in the AI world, through the combination of data strategy and analytics tactics. This session will also discuss how to empower users to understand the "why" behind the numbers.

12:30 PM ET | 9:30 AM PT

Doug LaneyData & Analytics Strategy Innovation Fellow at West Monroe Partners

Why and How to Monetize Your Data

Becoming data-driven is about measurable outcomes and starts with generating new value streams from your (and others) data assets. Unfortunately however, most organizations have no defined process or function for monetizing their data. Join this session to learn insights from the best-selling book, “Infonomics”, and about the design, development and support of data products and services.

1:00 PM ET | 10:00 AM PT

Mark Stern VP of Business Intelligence & Analytics at BetMGM

Importance of Data and the Analytics Mindset in Decision Making

Learn how to transform data from 'dumb' to smart through analytical strategies, ensuring accuracy amidst uncertainty, and leveraging statistical findings for practical business impact.

1:30 PM ET | 10:30 AM PT

Apoorv Saxena MD & Chief Data Scientist at Silverlake

Navigating the AI-Powered Future

Join us for a Q&A session with Apporv Saxena, Managing Director at SilverLake. With extensive experience in leading AI-driven transformation initiatives across a diverse portfolio, Apporv brings invaluable insights into harnessing the power of AI. This session will delve into practical strategies, challenges faced, and lessons learned from driving AI-driven transformation across various sectors.

2:00 PM ET | 11:00 AM PT

Vikas Ranjan Senior Manager (Cloud, Data Engg. & Analytics), Data Intelligence & Innovation at T-Mobile

Maximizing Value in Data Transformation: Best Practices and Emerging Trends in the New AI Era

In today's world of digital innovation fueled by AI, harnessing the power of data transformation/integration has become more important than ever. In this talk, we will share best practices and emerging trends in the AI world to maximize the power of data. From data collection and storage to analysis and interpretation, we illuminate best practices that drive actionable insights and innovation.

2:30 PM ET | 11:30 AM PT

Mahesh Pasupuleti VP of ML & Data Infra at Poshmark

Revolutionizing Poshmark's Business Performance through AI & Data Insights

In the ever-evolving landscape of e-commerce, Poshmark stands out as a prime example of leveraging data and AI to accelerate their business. Join Mahesh as he shares how Poshmark strategically uses AI across all facets of the company to drive a data-driven framework for growth, innovation, operational efficiency, and customer empowerment.

3:00 PM ET | 12:00 PM PT

Colin Taggart Product Manager - Data Strategy & Enablement at John Deere

Designing Enterprise Data Products: Strategies for Evolving Needs

As data proliferates, the strategic development and integration of data products can be a consideration for enterprises aiming to stay ahead of evolving market demands and technological advancements. Join Colin as he shares an Executive-Level look at data products, their advantages in different levels of data maturity, and real-world examples with considerations into starting or evolving your Data Product Strategy.

3:30 PM ET | 12:30 PM PT

Kannan Dorairaj Chief Architect at Liveramp

Renju Zacharia Director of Engineering at Wells Fargo

Mastering Data Complexity: Data Engineering in the Era of Modernization

Dive into mastering data complexity with Kannan and Renju at our summit: 'Data Engineering in the Era of Modernization.' Explore topics like modernizing data platforms, principles like data mesh, and addressing challenges of multi-cloud data access, featuring insights from LiveRamp's experience integrating with 650 advertisers.

4:00 PM ET | 1:00 PM PT

Avinash Shahdadpuri CTO & Co-Founder at Nexla

Anu JainManaging Director, Global Head of Enterprise Data Technology at JP Morgan

Closing Keynote: Elevating Data Integration to Drive Innovation

In today’ data-driven world, as organizations look to drive innovation, they are often held back by the sheer complexity of data integration and engineering. From the rise of GenAI to the transformative power of cloud technologies, this session will explore the strategies and best practices for achieving success in the digital age. Join us as we delve into key topics in data integration and engineering across various industries, overcoming challenges in analytics and business intelligence, optimizing data movement, innovation with metadata, and scaling data transformation efforts.

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why attend
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Explore Top Use Cases in Data Integration

Dive deep into the core use cases of data integration as it pertains to analytics, operations, and artificial intelligence. Learn how integrating data can drive operational excellence, enhance analytical capabilities, and fuel AI innovations.

Master Data Integration for Analytics and Operations

Gain insights into how effective data integration strategies can transform your analytics and operations, enabling more informed decision-making and streamlined business processes.

Leverage Data Integration in AI Deployments

Understand the pivotal role of data integration in AI and machine learning projects. Discover how seamless integration can enhance model accuracy, speed up deployment, and unlock new AI-driven opportunities.

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Who Should Attend
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Chief Data Officers and Data Leaders

Ideal for those overseeing strategic data initiatives and looking to address challenges such as overloaded data engineering teams, lack of standardization, and high tooling costs.

Heads of Data Engineering, IT, and Data Architecture

Perfect for operational leaders focused on producing data solutions, dealing with the demand for custom solutions, and navigating the challenges of building and updating connectors.

Head of Engineering / Core Data Platforms

Ideal for leaders managing core data platforms, focusing on operational excellence through data integration in systems and applications.

Lead Analysts and Data Science Managers

Suited for leaders in data usage roles, especially those who depend on engineering teams for data preparation and require solutions for real-time prediction capabilities.

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The #1 enterprise-grade data integration platform for Operations, GenAI, and Analytics. Nexla’s metadata-driven approach converges all integration styles into a single design pattern across ETL, ELT, Streaming, iPaas, and DaaS, bringing speed and simplicity to data teams. Our architecture has earned a Cool Vendor recognition and a 4.9/5 rating by Gartner. Centered around virtual data products (Nexsets), this convergence extends to data preparation, monitoring, and governance that is both no-code and developer-extensible at the same time. Doordash, LinkedIn, and LiveRamp are among the many data-driven enterprises that trust Nexla to run business-critical data.