AGENDA
EXPERIENCE & LEARN
EXPERIENCE THE DATA UNIVERSE DIFFERENCE
Be one of the first to experience Data Universe, the data and AI ecosystem’s first global gathering. Experts and practitioners will convene for 2 days in the Big Apple to participate in programming that explores the groundbreaking innovations, insights, and trends propelling the field forward. You’ll hear unvarnished, brand-agnostic perspectives from over 150+ of the brightest minds working at the forefront of data and AI.
2024 SPEAKER LIST
Our Data Universe event boasts an extensive lineup of 150+ experts across 150 distinctive sessions, covering a broad spectrum of topics from the influence of emerging tech on society, to the intricate aspects of creating flexible data stacks, and preparing teams for the future. Explore our speaker list, which is growing each day.
THE PROGRAM ADVISORY BOARD
We called on industry visionaries to help shape our content as part of our program advisory board.
2
Days
150+
World-Class Speakers
150+
Sessions Across 6 Stages
WHAT TO EXPECT
From experiential expo, to sessions, to keynote stage, Data Universe will challenge you to rethink old narratives around data resources and the way we engage with technology, as well as your role, and the future of data and AI. As such, Data Universe is a global thinker’s conference.
This year’s conference features 19 tracks and 110 sessions across 6 stages.
THE STAGES:
- Engineering & Infrastructure
- Analytics & Intelligence
- Governance, Privacy & Security
- Business Strategy & Transformation
- Emerging Tech, Society & Ethics
- Modern Architecture, Data Products, & AI
2024 LEARNING OBJECTIVES
REFRESH TECH FOR THE DIGITAL AGE
In the last five years, hundreds of open-source projects have gone from academic research to foundational technologies. Many of these offer processing, storage, and analysis that simply wasn't possible before—and in so doing, have made existing approaches costly, clumsy, and obsolete. Learn what's new, and what's a liability, with a complete overview of data and machine learning platforms.
RE-ENGINEER YOUR TEAM
Tomorrow's tech teams look very different. From human-in-the-loop computing, to LLM-generated code, to automation, you'll need to hire, retain, upskill—and yes, replace—much of your organization. Before you make critical decisions, learn from experts in law, technology, and HR about the chimeral future of data-driven, AI-assisted employment.
TRANSFORM POSSIBILITY INTO OUTCOMES
Data science promises huge business advantages, with data-driven businesses outpacing their competitors. But turning those promises into reality is hard, requiring a strategy you can implement, alongside sweeping changes in how your organization operates. Learn how to turn the incredible possibilities of data and AI into concrete business outcomes, with real-world lessons you can put to work immediately.
PROTECT YOUR CUSTOMERS, YOUR SYSTEMS, AND YOURSELF
Every new technology presents an untested "attack surface" for hackers. From data poisoning to adversarial prompt engineering to breaches, bad data engineering can put your customers, your platforms, and your organization at risk. Tackle the hard questions of information security, governance, and resiliency across every facet of your data strategy.
MANAGE OBSTACLES
There are real first-mover advantages for early adopters of data science and AI. But there are also plenty of obstacles—some real, some perceived. We'll separate fact from fears and show digital leaders how to navigate the choppy waters of regulation, governance, compliance and ethics, building buy-in and support for pilot programs while crafting a data strategy the whole business can get behind.
DECIDE BETTER
Data-driven organizations are more competitive, outmaneuvering those who shoot from the hip. And analytics is how they aim. From statistical tools for classifying the past and predicting the future, to compelling visualizations and data storytelling, the field of Business Intelligence has flourished in the Big Data era. Now, machine learning and AI are upending the entire field, putting unstructured data and qualitative information in the grasp of analysts and decision-makers.
GET UP TO SPEED ON DEVOPS & MLOPS
Nobody manages servers by hand anymore. Instead, we've blended software engineering with operational control, using scripts and automation to scale infrastructure and deploy applications automatically. The fields of DevOps and MLOps are among today's most sought-after careers. Learn how to wrangle complex virtual infrastructure and real-time data pipelines.
BUILD YOUR SECOND STACK
With Generative AI, we've created an entirely new AI stack. Generative tools need completely new processes for creating, testing, and iterating. AI and ML require a complete rethinking of how IT functions, from data pipelines to model training to experimentation. Organizations need a "two stack" architecture for deterministic and nondeterministic software in order to reap the benefits of modern advances in machine learning.
AGENDA AT A GLANCE
Wednesday April 10, 2024
07:30 AM - 06:00 PM Registration Open
08:30 AM - 06:00 PM Expo Hall Open & All Day Program
08:30 AM - 09:00 AM Networking | Morning Coffee Break
09:00 AM - 10:45 AM Opening Keynote Sessions
10:45 AM - 11:10 AM Networking Break | Transition to all stages
11:10 AM - 12:30 PM Morning track sessions across all stages
12:30 PM - 01:30 PM Networking Lunch in Expo Hall - (Lunch is included with all passes)
01:30 PM - 02:30 PM Afternoon track sessions across all stages
02:30 PM - 03:00 PM Afternoon Break
03:00 PM - 05:00 PM Affternoon sessions across all stages
04:30 PM - 06:00 PM Expo Hall Happy Hour - (Included with all passes)
Thursday April 11, 2024
08:00 AM - 05:00 PM Registration Open
08:30 AM - 05:00 PM Expo Hall & All Day Program
08:30 AM - 09:00 AM Networking | Morning Coffee Break
09:00 AM - 10:45 AM Closing Keynote Sessions
10:45 AM - 11:10 AM Networking Break | Transition to all stages
11:10 AM - 12:30 PM Morning track sessions across all stages
12:30 PM - 01:30 PM Networking Lunch in Expo Hall - (Lunch is included with pass.)
01:30 PM - 02:30 PM Afternoon sessions across all stages
02:30 PM - 03:00 PM Afternoon Break
03:00 PM - 05:00 PM Afternoon sessions across all stages