The AI journey from concept
to delivering benefits
Developing and deploying artificial intelligence (AI) solutions absorbs an increasing share of companies’
budgets and resources. AI operations translate these capital and human investments into practicaladvantages. They accomplish outcomes that greatly benefit companies and the people they serve.
In AI operations, professionals in various industries and organizations rely on AI solutions to help
people make decisions and act at the right time to keep processes moving. Use cases for AI operations
typically depend on software applications, networking technology and data storage. What’s more, users
in almost every AI operations scenario rely on powerful workstations to do their jobs. This infographic
provides an overview of AI development, deployment and operations, highlighting common use cases
where workstations are essential.

AI development: Addressing
business issues
Large portions of AI development involve strategizing, identifying
data sources and preparing data for processing.
• Approximately 80% of AI effort is spent on data acquisition,cleansing and staging.
• Data scientists and developers work with organizational data tocreate, revise and train AI solution models.
• Development can take place on workstations, servers orcloud resources.
• Then comes the AI deployment phase.

AI deployment: Enabling inference
Deployment puts the resulting AI services on servers, in the cloud
or on workstations.
• AI specialists implement trained and tested models that deriveinferences from data.
• Companies often develop a proof-of-concept prototype before
scaling up for production use.
• Relying on edge services and IoT data streams, AI services
garner the lion’s share of attention and visibility.

AI operations: Creating value
In AI operations, professionals spanning wide ranges of industries
and markets rely on AI capabilities to support many use cases.
• Interactions between human operators and AI solutions are
essential to reap the benefits of AI.
• Many professional roles benefit from AI inferences.
• Solutions providers face a large, sometimes overlooked growth
opportunity in AI operations.
• AI operations can achieve dramatic results — for instance:• Saving the lives of workers and medical patients.
• Improving quality, speed and outcomes of medical care.
• Enabling prompt, smart decisions and actions bytranscending the limits of human attention.

Why are workstations a good fit for AI operations?
Computer workstations are present in almost every scenario of AI operations. What makes
them great resources for users and organizations?
• Provide easy-to-use interface for digitally literate professionals.
• Offer computing power to run trained inference models interacting with other applications.
• Can be fixed or mobile to suite many usage scenarios.
• Support evolving usage with reliability and versatility.
• Can connect with vast ranges of peripherals, data storage systems and specialty hardware.
• Simplify updating and managing from central administrator consoles.

High-impact use cases for
AI operations
AI solutions running on workstations prove their value
in many different usage scenarios. The samples below
highlight typical, widely adopted use cases among
hundreds of similar ones.

Radiology• Users: radiologists and medical specialists.
• Challenge: need to review large numbers of medical
images, often with only seconds to spend on each.
• Advantages:• Bring attention to details that need closer evaluation.
• Allow operators to step in when they can truly makea difference.
• Avoid operator burnout and delayed responses topatients’ needs.

Telehealth• Users: intake staff, doctors, nurses, emergency personnel.
• Challenge: ensure the productivity of telehealthconsultations and consider all important information.
• Advantages:• Enhance diagnostic accuracy.
• Have productive, focused patient conversations.
• Accelerate and improve the effectiveness of triage.

Public safety• Users: security professionals, facilities managers,
first responders.
• Challenge: address potential issues quickly and assume
greater responsibility in keeping workers and the public
safe and healthy.
• Advantages:• Respond faster and more accurately to risk situations.
• Broaden the mission of safety teams.
• Strengthen security without adding staff.

Manufacturing operations• Users: production managers, maintenance managers.
• Challenge: keep complex production processes andmachinery running safely and meet quality andvolume targets.
• Advantages:• Ensure consistent output quality.
• Manage industrial assets for best performance.
• Proactively eliminate unscheduled equipment
downtime.
• Maintain safe working conditions.

Utilities• Users: service managers, line managers.
• Challenge: maintain worker safety and meet service-levelcommitments.
• Advantages:• Enable employees to do their jobs safely andproductively.
• Ensure uninterrupted services.
• Keep equipment and facilities anywhere in optimal
working condition.

AIOps• Users: development leads, IT managers, cybersecurityspecialists.
• Challenge: ensure optimal performance and integrity ofapplications, services and systems.
• Advantages:• Improve service availability and stability.
• Augment system performance.
• Mitigate security risks.

Next steps
Contact your Dell account executive or email us dsw@dell.com
To learn more about Dell AI-Ready and Data Science Workstations
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EMC and other trademarks are trademarks of Dell Inc. or its subsidiaries. Other trademarks may betrademarks of their respective owners. This infographic is for informational purposes only. Dell believes
the information in this infographic is accurate as of its publication date, October 2021. The information issubject to change without notice. Dell makes no warranties — express or implied — in this infographic