Dell Moving AI solutions from concept into production User Manual

Moving AI solutions from concept into production
Follow a proven path to the development
and deployment of articial intelligence
applications that solve business problems.
ABSTRACT
In this white paper, we walk through ve steps on the path to a successful articial intelligence project, from developing a clearly dened use case to scaling a solution
Armando Acosta, Product Management September 2020
DELL TECHNOLOGIES WHITE PAPER
TABLE OF CONTENTS
A STRATEGIC APPROACH TO AI PROJECTS . . . . . . . . . . . . 1
FIVE STEPS TO A SUCCESSFUL AI PROJECT. . . . . . . . . . . . 2
Step 1. Clearly dene the use case. . . . . . . . . . . . . . . . . . . 2
Step 2. Clean, tag, transform and catalog data . . . . . . . . . . . . . 2
Step 3. Understand your data science skillset and needs
plus train your model . . . . . . . . . . . . . . . . . . . . . . . . . 3
Step 4. Use DevOps for the last mile . . . . . . . . . . . . . . . . . . 3
Step 5. Scale to production . . . . . . . . . . . . . . . . . . . . . . . 3
A CUSTOMER CASE STUDY . . . . . . . . . . . . . . . . . . . . . . 4
Use case . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4
Data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4
Data science . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4
DevOps . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5
Scale . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5
KEY TAKEAWAYS. . . . . . . . . . . . . . . . . . . . . . . . . . . . 5
TO LEARN MORE . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5
The information in this publication is provided “as is.” Dell Inc. makes no representations or warranties of any kind with respect to the
information in this publication, and specically disclaims implied warranties of merchantability or tness for a particular purpose.
Use, copying and distribution of any software described in this publication require an applicable software license.
Copyright © 2020 Dell Inc. or its subsidiaries. All Rights Reserved. Dell, Dell Technologies, EMC and other trademarks are trademarks of Dell Inc. or its subsidiaries. Intel, Intel Logo are trademarks of Intel Corporation in the U.S. and/or other countries. Other trademarks may be the property of their respective owners.
Dell Technologies believes the information in this document is accurate as of its publication date. The information is subject to change without notice.
Published in the USA 9/20.
DELL TECHNOLOGIES WHITE PAPER

A STRATEGIC APPROACH TO AI PROJECTS

The process of developing and deploying articial intelligence applications brings unique challenges. Complexity runs through the entire project, from dening use cases and
preparing data to training algorithms, developing software code for last mile execution and scaling the solution in a production environment.
These are all familiar challenges to the data scientists, computer scientists and subject matter experts at Dell Technologies. The HPC & AI Innovation Lab team regularly works
with enterprises, universities and public entities on the development of articial intelligence
algorithms and the high performance computing systems that run them.
As part of its mission, the team works proactively to share its learnings and best practices with the global user community. One of these overarching lessons is that organizations on the path to AI need to think strategically, across the entire lifecycle of the project, and then move down the development and deployment path in a stepwise manner.
With that thought in mind, we suggest these ve steps toward a successful AI project:
1. Clearly dene the use case
2. Clean, tag, transform and catalog data
3. Understand your data science skillset and needs plus train your model
4. Use DevOps for the last mile
5. Scale to production
In this white paper, we walk through each of these steps, and then explore the case study an AI project launched by a global enterprise. This organization worked with the HPC & AI Innovation Lab to develop a proof of concept that proved the business value of an
ambitious e󰀨ort to use AI to ght credit card fraud in real time.
1 DELL TECHNOLOGIES WHITE PAPER
Figure 1. rDE deployed as data proxy for Cassandra databases – conceptual architecture
Loading...
+ 4 hidden pages