The most popular and comprehensive Open Source ECM platform
By Dick Weisinger
Businesses recognize the potential of Machine Learning, but many aren’t yet prepared to use the technology. The solution is to train and hire engineers who skilled in Machine Learning. This new category of AI-trained engineers are being called MLOps (Machine Learning + Information Technology Operations) engineers. The MLOps engineer is a cross between a data scientist and IT professional.
MLOps engineers develop, configure, deploy, and monitor the machine learning models that businesses use to better forecast and predict trends to help businesses run more efficiently and smoothly. MLOps solutions are expected to grow from $350 million in size in 2019 to $4 billion by 2025.
Brad Shimmin, Omdia chief analyst, said that “you need to have a process, a lifestyle. This is a collaborative sport. You’re not just your data scientists, but you have data engineers, you have business analysts, you have executive sponsors. There are many, many different roles that play a very important part. One of the least understood and the least cared for is IT operations and development, and MLOps is a way to really help with that.”
Kyle Wiggers wrote for VentureBeat that “the advantage of MLOps is that it puts operations teams at the forefront of best practices within an organization. The bottleneck that results from machine learning algorithms eases with a smarter division of expertise and collaboration from operations and data teams, and MLOps tightens that loop.”
Your email address will not be published.
*
*
document.getElementById( “ak_js_1” ).setAttribute( “value”, ( new Date() ).getTime() );
This blog site is accessed from the website of Formtek, Inc. All visitors to or users of this blog site are subject to the terms and conditions and privacy policy that govern the Formtek website, links for which are provided above.
Some of the individuals posting to this blog site, including the moderators, work for Formtek. Postings by these individuals are the personal opinions of these individuals, not of Formtek. Their posted content is provided for informational purposes only and is not meant to be an endorsement or representation by Formtek or any other party. Postings to this blog site may be outdated, invalid or inaccurate by the time you read them. Individuals posting to this blog site make no statements, representations or warranties as to the timing, validity, accuracy or reliability of their postings.
This blog site may contain links to third party sites. Access to any third party site linked to this blog site is at your own risk. None of Formtek, the blog site moderator(s) and the individuals posting on this blog site that work for Formtek is responsible for the timing, validity, accuracy or reliability of any information, data, opinions, advice or statements made on these third party sites. These links are provided merely as a convenience and do not imply any endorsement.
Postings to this blog site are available to the public. You should not post, link to or otherwise upload any information considered confidential to this blog site. All postings to this blog site are moderated. Postings will appear if and when they are approved by the moderator. Notwithstanding any approval by the moderator, by posting information to this blog site, you agree to be solely responsible for the information you post, link to, or otherwise upload to the blog site. You agree to release Formtek from any liability related to that information or to your use of the blog site. You grant Formtek a worldwide, perpetual, irrevocable, royalty-free, fully-paid, and transferable (including rights to sublicense) right to exercise all copyright, publicity, and moral rights with respect to any information you post, link to or otherwise upload to this blog site.