MLOps Platforms Resources
Articles, Glossary Terms, Discussions, and Reports to expand your knowledge on MLOps Platforms
Resource pages are designed to give you a cross-section of information we have on specific categories. You'll find articles from our experts, feature definitions, discussions from users like you, and reports from industry data.
MLOps Platforms Articles
20 Revolutionary AI Applications in 2025: Real-World Examples
Imagine a world where your business anticipates market trends before they emerge; healthcare predicts diseases before symptoms, and your personalized assistant handles your daily schedule.
by Rebecca Reynoso
100+ Artificial Intelligence Statistics to Check Out in 2025
“Alexa, what’s the temperature right now?”
by Soundarya Jayaraman
7 Types of AI and Their Crucial Role in Shaping Technology
For decades, researchers and experts have mulled over how artificial intelligence can turn tables for the tech industry.
by Rebecca Reynoso
What is Image Processing? Examples, Types, and Benefits
We see thousands of images every day, online and out in the real world. It’s likely that the images have been changed in some way before being released into the wild.
by Holly Landis
What Is Artificial Intelligence (AI)? Types, Definition And Examples
Remember Sophia, the humanoid that appeared on the late-night show with Jimmy Fallon?
by Amal Joby
What Is Artificial General Intelligence (AGI)? The Future Is Here
Artificial general intelligence (AGI) could be the best or worst thing ever happening to us.
by Amal Joby
70+ A to Z Artificial Intelligence Terms in Technology
Making computers learn the ABC of a human brain.
by Rebecca Reynoso
What Are Machine Learning Models? How to Train Them
Raw data makes no sense. Making it business ready involves a lot of time, resources, and of course, coffee.
by Shreya Mattoo
Why Is the Activation Function Important for Neural Networks?
Raising the level of behavioral intelligence in computers.
by Shreya Mattoo
The Role of Data Scientists and What We Saw at Rev 3
The world is full of conferences, bright lights, relatively comfortable chairs, and friendly faces. Throw in some decent food there, and you’re in for an all-around great experience. Last month, I had the pleasure of attending Rev 3 by Domino Data Lab in the Big Apple, which did not disappoint. Besides the camaraderie and the swag, I learned about their product updates and the broader machine learning (ML) space, which I will share here.
by Matthew Miller
Narrow AI: Not as Weak as It Sounds
If you use a smartphone, you probably have come across narrow AI.
by Amal Joby
Artificial Intelligence in Financial Research
Artificial intelligence (AI) has woven itself into the fabric of many types of software by leveraging data to produce relevant insights and carry out repetitive tasks; and financial research software is no exception.
AI for financial research
Financial research software aggregates data and documents on user-selected topics for analysts to use in their investment selection process. Financial services professionals use this software to properly vet investments based on the amount of acceptable risk. AI is instrumental in reducing the amount of time needed to aggregate relevant information and data from reputable sources and make sound investments.
by Patrick Szakiel
How Does Artificial Intelligence (AI) Power the Internet of Things (IoT)?
Like many other high tech advancements, IoT is at the forefront of innovation.
by Rebecca Reynoso
Understanding Artificial Intelligence and Machine Learning
Artificial intelligence and machine learning are trending terms in the tech sphere that are often – and incorrectly – used interchangeably.
by Rebecca Reynoso
AI in Retail: How It’s Being Used (+ 4 Brand Examples)
The news has been inundated with stories about brick and mortar stores closing at an astounding rate.
by Rebecca Reynoso
What Is AI Marketing? How It Improves Customer Experience
When thinking of artificial intelligence (AI), the first thing that crosses people’s minds isn’t marketing.If anything, AI & machine learning operationalization (MLOps) software is associated with the tech sector – with healthcare coming in at a close second.
by Rebecca Reynoso
AI in Healthcare (+5 Ways It’s Used in 2020)
It’s no secret that healthcare is a perpetually in-demand field.
by Rebecca Reynoso
What Is the Future of Machine Learning? We Asked 5 Experts
Forget what you may have heard. Machine learning isn’t some new concept or study in its infancy.
by Devin Pickell
11 Applications of Artificial Intelligence in 2020
Artificial intelligence is used as a broad catchall term for many subsets of AI, which is in and of itself a subset of computer science.
by Rebecca Reynoso
Benefits and Risks of Artificial Intelligence (+4 Industry Examples)
Instead of giving credence to fear-mongering books and films about artificially intelligent beings taking over the world and turning on humans (The Terminator, anyone?), it’s time we took a hard look at the proven benefits and potential risks of some real-world applications of artificial intelligence.
by Rebecca Reynoso
Embedded AI: Embedded Systems Trends for 2019
With the heavy emphasis on digital transformation, software buyers are actively seeking out products that have artificial intelligence embedded within the applications for a number of reasons.
by Rob Light
MLOps Platforms Glossary Terms
MLOps Platforms Discussions
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Question on: Azure Machine Learning
What is Azure Machine Learning Studio used for?What is Azure Machine Learning Studio used for?
In short, to build, deploy, and manage high-quality models faster and with confidence.
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Question on: Valohai
What is Valohai used for?What is Valohai used for?
Valohai is used to orchestrate machine learning workflows, to track everything from data to results, and to deploy trained models. For us, this is end-to-end MLOps.
The platform is built to work with any kind of machine learning project, but most commonly, deep learning use cases such as computer vision, LLMs, and such.
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Question on: Iguazio
What is Iguazio used for?What is Iguazio used for?
Iguazio’s AI software enables enterprises to develop, deploy and manage AI applications, drastically
shortening the time required to create real business value with AI. Using Iguazio, organizations can
develop AI models at scale and in real time, deploy them anywhere (multi-cloud, on-prem or edge), and
bring to life their most ambitious AI-driven strategies. Enterprises spanning a wide range of verticals use
Iguazio to solve the complexities of MLOps and create business impact through a multitude of AI and
Generative AI use cases such as chatbot automation, fraud prediction, real-time recommendation
engines and predictive maintenance. Iguazio was acquired by McKinsey & Company in January of 2023
and is now a part of QuantumBlack, McKinsey's AI arm. Iguazio brings data science to life.
MLOps Platforms Reports
Mid-Market Grid® Report for MLOps Platforms
Summer 2025
G2 Report: Grid® Report
Grid® Report for MLOps Platforms
Summer 2025
G2 Report: Grid® Report
Enterprise Grid® Report for MLOps Platforms
Summer 2025
G2 Report: Grid® Report
Momentum Grid® Report for MLOps Platforms
Summer 2025
G2 Report: Momentum Grid® Report
Small-Business Grid® Report for MLOps Platforms
Summer 2025
G2 Report: Grid® Report
Enterprise Grid® Report for MLOps Platforms
Spring 2025
G2 Report: Grid® Report
Small-Business Grid® Report for MLOps Platforms
Spring 2025
G2 Report: Grid® Report
Mid-Market Grid® Report for MLOps Platforms
Spring 2025
G2 Report: Grid® Report
Grid® Report for MLOps Platforms
Spring 2025
G2 Report: Grid® Report
Momentum Grid® Report for MLOps Platforms
Spring 2025
G2 Report: Momentum Grid® Report