Addressing AI Development Challenges with Synthetic Data

Why Attend?

1. Are you tired of the disconnect between your business and data science teams?
2. Do you find yourself losing sleep over the challenges of aligning data strategies with business objectives, communicating insights effectively, and driving innovation?
3. Do you want to learn how to build a minimum description link algorithm for generating any type of synthetic data in the enterprise?

Join us! Become enlightened about a new reality – one where synthetic data generation not only conquers your data science nightmares but also transforms the way your teams collaborate.

Get inspired about a methodology that empowers your business and data science teams to work together seamlessly, using a shared mental model that bridges the gap between technical and non-technical stakeholders.

Who Should Attend?

This event is intended for forward-thinking AI data science and analytics professionals who want to learn more about a game-changing methodology and who want to explore how a new synthetic data generation paradigm can help:

• Create a common language for business and data science teams
• Accelerate decision-making and time-to-market
• Enhance data quality, security, and privacy compliance
• Stay at the forefront of data science advancements and best practices
• Drive innovation, create competitive advantages, and unlock new opportunities

What to Expect?

During this briefing, you'll witness a demo of how our novel and transformative synthetic data generator is revolutionizing the industry. We'll share real-world examples, demonstrate the benefits of synthetic data generation, and provide hands-on experiences that will change the way you think about data science collaboration.

We'll also tackle the cognitive dissonance surrounding synthetic data head-on, addressing questions like:

• Can synthetic data truly capture the complexity and nuances of real-world data?
• How can technologists overcome skepticism and embrace synthetic data techniques?
• What are the limitations and ethical considerations of synthetic data generation?
  

Your Hosts

Barry Toser, CEO, and Art Conroy, CTO, are co-founders of SDG. Barry will moderate the program and Art will lead the discussion and present real-world synthetic data use cases that he has previously implemented for various organizations, including IBM, Amazon, Raytheon, DARPA, Boeing, DHS, CIA, Morgan Stanley, SAIC, FBI, Booz Allen, SAP, US Army, and US Navy. Art, with over 20 years of experience, has consulted for large enterprises and US government agencies, developing enterprise-scale solutions to address complex problems. Currently, he serves as an independent researcher at George Mason University in the Computational Social Science department, where his insights into practical applications of synthetic data are highly valuable.

Seating is Limited to Ensure an Intimate and Focused Discussion

Register today! And invite your colleagues to take the first steps toward embracing the future of data science collaboration. Enjoy happy hour refreshments and snacks while networking with the best.

Be at the forefront of a data science revolution to break down silos, foster collaboration, and drive transformative change within your organization.

Event Sponsors

Cogent Law Group is a boutique, full-service business law firm representing tech businesses throughout the United States. The firm's attorneys have previously worked at large, international law firms, but due to the firm's low overhead business model, have billing rates at half or less than those of the typical large law firm.

SDG is a Washington, DC area-based company that is empowering enterprises to drive innovation while safeguarding data privacy. Its cutting-edge synthetic data solutions facilitate secure data sharing and collaboration, accelerating time-to-value for AI/ML initiatives while mitigating privacy risks and compliance burdens.

For more information, please visit email us at , or call 703-850-7172.

Host or Publisher Synthetic Data Generator