Solution Brief

Create Data with Generative AI for Safe Simulations
The role of synthetic data
Nearly every organization wants to enhance its ability to make data-driven
decisions. However, many are unable to unlock these capabilities due tothe sensitive, private, and regulated nature of their data. With Generative AI,organizations can design highly realistic but simulated data to test and validate
systems without relying on the use of sensitive production data. Synthetic
data can also be paired with existing data sets to provide a more complete
picture and account for a variety of needs, such as simulating a rare event or
supporting predictive analytics.

Synthetic data combined with digital twins
Innovative organizations are finding success by combining Generative
AI-produced synthetic data with digital twins of their business and/orproducts, taking full advantage of both AI and Generative AI. This creates
endless opportunities to simulate changes and ideas with realistic
representative data. Examples include developing improved products,
testing adjustments to physical processes, and modeling potential
interruptions to global supply chains.

Key design and data creation use cases

How it works
With Generative AI, organizations canbegin to rapidly generate synthetic
data for use across a variety ofsystems and processes that require
data to function. The process is:
Organizations will want todetermine which questions
they have, and whatsimulations and data
are needed.
Create a template of theneeded data.
Use generative AI to create
synthetic data aligned tothe template.
Review and adjust thesynthetic data to ensure it
is representative.

Product design and engineering
Use virtual prototyping to test
multiple designs concurrently,
saving time and money while
ensuring improved design quality
and faster time to market.

Manufacturing
Leverage simulated data to execute
preemptive maintenance andautomate quality inspection on
manufacturing floors, eliminatingrisk and improving yields.

Supply chain and logistics
Generate data to simulate theentire supply chain for end-to-end
visibility, enabling supply chain
event modeling, and discovering
opportunities for optimization,
expansion, and addressing
potential disruptions.

Marketing and business strategy
Create representative customer
and market data to simulate thecustomer journey for visualizingcampaign touchpoints, performing
A/B testing, exploring expansion,and personalizing opportunities.

Design and Data Creation Use Case - Generative AI© 2024 Dell Inc. or its subsidiaries.

Finally, use the data
to run predictions andanswer questions.

Why your data is critical

About Dell Generative AI

Integrating your organization’s unique data with a Generative AI-powered
tool facilitates more accurate and realistic data creation. It also enables
forecasting of future scenarios and explores the potential of improving
product quality and optimizing operations. Organizations can synthesizedata fields, structures, and data relationships to drive innovation, manage
risk, maintain compliance, and forecast hypothetical business scenarioswith realistic but ultimately generated synthetic data.

Dell Technologies offers the world’s
broadest Generative AI solutions
portfolio, from client devices to data
center to cloud, all in one place.

Organizations can choose to augment existing data with synthetic dataor leverage generated synthetic data in place of sensitive data to keep
sensitive data safe, secure, and compliant while running simulations ortesting. Organizations can deploy synthetic data as needed to ensure theright balance of real data and synthetic data and enable more accurate
simulations and forecasting.

Security and IT

Manufacturing/
digital twins

Data sources

Model

Use cases

Data sources and use cases for design and data creation

Business modeling

Employee training

Generative AI tool

Publicdatasets

Simulateddatasets

Social media/
internet content

Domain-specificdatabases• Attack records• Government• Event logs

• Education• Other open
source data sets
in e.g., healthcare,financial, andenvironmental
fields• Generate
synthetic
behavioral andtext-based data

• Build
synthetic data

• Telemetry data

• Synthetic
data createdfrom models
simulating
physical,economic, or
biological data

Learn more about Dellsolutions for Generative AI.

Our approach is to bring AI to yourdata. This means meeting strict
data sovereignty and compliancerequirements while right-sizing AI
infrastructure to reduce costs, support
sustainability objectives, and keep you
in control of the model and your data.

Next steps

IT documentationand data• Systemdocumentation

You can accelerate your AI journeywith Dell Technologies Services
and a broad partner ecosystemthat includes support for many
open source Generative AI models.
Regardless of whether a teammember is working with purposebuilt Dell infrastructure to powerorganization-wide Generative AI
applications, or simply prompting AI
from a Dell laptop, they are working
with the industry’s broadest and mostadvanced portfolio of AI-enabledsolutions.

• Use data fromsocial networks
and forums

Get started with a fee-waived
Accelerator Workshop for GenerativeAI, which can help you gain
consensus among your businessand technical stakeholders on yoursolution and prioritized use cases.

• Use your own
datasets

Learn more

• Leverage
Industry-specificdata archives

Accelerator Workshop for
Generative AI

Contact a Dell
Technologies Expert.

Join the conversation.

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