Tech News, Magazine & Review WordPress Theme 2017
  • Tech
    • Android
    • Home Tech
    • Medical Tech
    • Artificial Intelligence
    • APK
    • Apple
  • Business
    • Startups
    • Marketing
  • Reviews
    • Best Apps
    • Software
    • VPNs
  • Blogging
    • SEO
  • Crypto
    • Blockchain
  • Contact Us
    • About us
    • Careers
    • Use of Cookies
    • Privacy Policy
No Result
View All Result
Techavy
  • Tech
    • Android
    • Home Tech
    • Medical Tech
    • Artificial Intelligence
    • APK
    • Apple
  • Business
    • Startups
    • Marketing
  • Reviews
    • Best Apps
    • Software
    • VPNs
  • Blogging
    • SEO
  • Crypto
    • Blockchain
  • Contact Us
    • About us
    • Careers
    • Use of Cookies
    • Privacy Policy
No Result
View All Result
Techavy
No Result
View All Result

5 Things to Consider About an Enterprise-Level Machine Learning Platform

by Abhishek Yadav
September 28, 2020
How Schibsted uses machine learning to recommend content
561
SHARES
3.7k
VIEWS
Share on FacebookShare on Twitter

Enterprises are incorporating machine learning into their core processes for diverse strategic reasons. ML can provide benefits like the capability to discover patterns and significantly improve customer segmentation and targeting. But all these benefits are attainable only if you make the right choice.

Beyond the business results, enterprises need to consider a spectrum of factors to assess and maximize investment return. One of the biggest obstacles is that machine learning projects demand a significant investment, and even tiny projects can cost up to thousands of dollars.

At an enterprise-level, these are the project costs that touch a few million dollars and a piece of IT budget professionals spent on understanding how to assign the revenue to obtain and implement a machine learning platform.

Remember, ML is a long-term investment that begins delivering benefits only after a couple of years. For now, have a look at five things you should consider.

Recognizing the Right Problem to Solve

The main questions that you should deal with are like:

  • What are the problems to solve?
  • What is the type of benchmarks that should be established?
  • Does the company have the correct data available?
  • Who is the correct vendor?
  • Does the project need sustained investment?

If you have answers to these questions, you can make a diplomatic move for your enterprise.

RelatedPosts

What is an Integrated Development Environment (IDE)?

A Straightforward Review of Why I Chose Kajabi

Measuring Business Impact

ML and AI need petabytes of data as contributions to train models. It is a significant investment. The next move involves using the right algorithms and evolving a working model that needs many iterations to manufacture efficient business outcomes.

You would measure the business impact in terms of the kind of use case you would develop, the victory of your project’s implementation, and how well you scale it.

Forming In-house Talent or Adopting A Hybrid Method

Being an enterprise, you might need to choose between:

  • Forming an in-house professional team of training data scientists and expert software developers who can construct models in-house
  • Outsource the model development operation

Most of the enterprises follow a hybrid approach to lessen costs and drive better business results. However, do not forget that constructing an in-house team requires massive investment because data science talent is rare, and it might take up to 12 months to get your projects off the ground.

Not Every ML Project Will Be Effective

Before you invest in an ML project, it is crucial to recognize that not all projects will be successful. Many enterprises are known to accept the: fail the first approach, which is also an expressive comment on the iterative layout of ML project development levels that encompass prototype development, testing, and analysis.

Besides the concept of model development, testing, and validation also create a chief component of the project. Machine learning models should be fine-tuned, and the outcomes are validated methodically before you put anything to use.

The Outlook  

Before you invest in an artificial intelligence and machine learning platform, you must gather much information about the opportunities so that the management team can make the right decision about:

  • Where to invest
  • Which vendor software to use
  • If emerging technologies will benefit your business and help your company as a leader in its niche

Though there are various examples of ML/AI projects bringing up to three times the investment price, not all projects turn out to be successful. There is a section of use instances like chatbots that can generate much more immense results down the lane.

The competition is increasing extensively, and talent is short. Hence, if you wish to stay relevant in the present-day data age, you need to act efficiently and build your AI strategy.

3.5k
SHARES
ShareTweet

Subscribe to Techavy to never miss out on the latest tech news!

Unsubscribe
Abhishek Yadav

Abhishek Yadav

Hello, I am Abhishek Yadav, I am an Internet Marketer and a Blogger. along with blogging I also have some Programming and content marketing skills. Connect with me on Twitter @Abhinemm to know more about me :)

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

  • 123MOVIES Unblocked – Ten 123 Movies Proxies and Mirrors

    123MOVIES Unblocked – Ten 123 Movies Proxies and Mirrors

    5707 shares
    Share 2229 Tweet 1393
  • Kickass Proxy – 30 KAT Mirror Sites & Proxies ~ KAT UnBlocked.

    9872 shares
    Share 3934 Tweet 2459
  • AceStream Mac – How to install AceStream on your MAC

    1717 shares
    Share 685 Tweet 428
  • Thop TV: Watch Movies and TV Shows for Free

    808 shares
    Share 323 Tweet 202
  • How to Download Torrent with IDM – 100% Working

    1897 shares
    Share 755 Tweet 472

Latest Posts

What is Business Intelligence?

What is Business Intelligence?

March 14, 2023
image_2022_12_30T05_21_33_976Z.png

CapCut – The Free Online Video Editor

March 14, 2023
What is an Integrated Development Environment (IDE)?

What is an Integrated Development Environment (IDE)?

March 14, 2023
Kajabi

A Straightforward Review of Why I Chose Kajabi

March 15, 2023
Can You Perform A Business Registration In Ontario Online? 6 Things To Know

Can You Perform A Business Registration In Ontario Online? 6 Things To Know

March 10, 2023
The Benefits Of WiFi-Enabled Furnaces: Control Your Home’s Heating Remotely

The Benefits Of WiFi-Enabled Furnaces: Control Your Home’s Heating Remotely

March 11, 2023
Learn about technology, product reviews, SEO, AI and more on Techavy.com
Techavy

© 2021 Techavy | All Rights Reserved.

Resources

  • Home
  • About us
  • Contact Us
  • Privacy Policy
  • Careers

Connect With Us

No Result
View All Result
  • Home
  • Tech
  • Business
  • Software
  • Android
  • Blogging
  • Gaming
  • Startups
  • Review
  • Use of Cookies
  • Privacy Policy
  • About us
  • Contact Us

© 2021 Techavy | All Rights Reserved.