Events and Webinars

Our Event Series

Sommelier

Turntable

Featured Event
27 Feb - 02 Mar
Booth #6B2 (Hall 6 - Show floor) | Fira Gran Via, Barcelona
Our Latest Talk
By Nagarro
About
nagarro
Discover more about us,
an outstanding digital
solutions developer and a
great place to work in.
Investor
relations
Financial information,
governance, reports,
announcements, and
investor events.
News &
press releases
Catch up to what we are
doing, and what people
are talking about.
Caring &
sustainability
We care for our world.
Learn about our ESG
initiatives.
Thinking about
becoming a Nagarrian?
Check our open positions
Africa & Asia-Pacific
Central & South America
Europe
Middle East
North America
talk to us
Welcome to digital product engineering
Thanks for your interest. How can we help?
 
 
white paper

Evaluating MLOps and its aspects

The various facets of MLOps and why it is necessary for data science
Author
Arun Madan
Arun Madan
connect

About the white paper

Artificial intelligence has established itself as the technology that sits at the heart of digital transformation. Over the next few years, there will be a surge in emerging machine learning applications for both individuals and enterprises. 

 

The rapid growth in the importance of machine learning to businesses has made it more tedious, difficult, and, in many ways, dangerous for teams that must constantly bridge the gaps between data scientists and ML engineers.  So, we have explored different aspects of machine learning and how MLOps can help in addressing them.

 

Download this white paper to understand the underlying technologies and guiding principles found in Enterprise MLOps. You will also get to know about:

  • What is MLOps, and how your organization can benefit from it
  • The underlying technologies and guiding principles found in Enterprise MLOps
  • Choosing the right MLOps platform for you and avoiding the typical pitfalls
White paper

Evaluating MLOps and its aspects