Above: Illustration by Rhyzi/123RF.com
The presence of AI in business grows every year. The global market for artificial intelligence was valued at over $62 billion in 2020. It is forecast to grow to over $997 billion by 2028. With this incredible growth, we should expect to see a ton of new AI tools and applications for the technology.
AI can be great for handling time-consuming, repetitive tasks. Businesses can use an AI-powered BI tool to get deeper insights in less time. It can help with things like Java development by allowing for automated testing. This makes it possible for developers to run thousands of test scenarios in a fraction of the time it would take them to do the work manually.
It can also be great for tasks involving data analytics. These platforms can help with preparing data, automating analysis and delivering insights and predictions to the people who need them.
The industry already has a range of enterprise AI solutions that can help businesses reach their goals. In this post, you will learn about some of the best AI platforms available to businesses in 2021.
DataRobot
DataRobot offers one of the most flexible enterprise AI platforms on the market today. The stated mission at DataRobot is to democratize data science and it looks like they are making good on that promise. The AI automates data analytics from end to end and it offers the ability to work on any cloud platform whether private or public. It really puts machine learning in the hands of the business and the platform comes with a customizable user experience that can be tailored to the type of user.
Good for businesses with a data analytics team but still want a platform that is accessible to others at the business.
Amazon SageMaker
SageMaker is the machine learning platform built for Amazon’s AWS. Amazon built it to offer a cloud platform for creating and deploying machine-learning applications. SageMaker comes with tools that cover the entire machine learning lifecycle and it has an integrated development platform to simplify the process while increasing productivity. If your business needs an all-in-one machine learning platform that offers a lot of resources that can help you along the way, SageMaker is worth consideration.
Designed to provide a simplified platform to help data scientists and developers build, train and deploy machine learning applications.
Vertex AI From Google Cloud
With Vertex AI, developers can use Google Cloud to build, deploy and scale machine learning in one unified platform. With this set of tools, you can work with pre-trained and custom models, and the platform covers the entire lifecycle of machine learning. Vertex AI can be good for users of all experience levels and it is said to offer faster deployment because it requires 80% fewer lines of code for custom modeling.
Helps developers and data scientists of all skill levels create, deploy and manage machine learning models.
Azure Machine Learning Studio
This is a machine learning platform developed by Microsoft to work with Azure Cloud services. Azure Machine Learning Studio is designed to offer a cloud-based platform for creating, deploying, scaling and managing machine learning applications. It offers ML solutions for all skill levels and it is made to offer an end-to-end solution for machine learning.
For use as a set of tools to help engineers and data scientists manage the entire lifecycle of ML applications.
Dataiku Data Science Studio
The Data Science Studio from Dataiku is a unified platform that aims to make data science and machine learning accessible to any user. It is made to offer data analytics across an entire organization and it helps automate an end-to-end solution for gaining insights from data. If you are looking at applying machine learning to automate and assist with data-driven decision-making, the Data Science Studio is one of the top platforms available in 2021.
Great for scaling AI across an entire organization and for bringing data analytics to more people with different skill levels.
Artificial intelligence is becoming a vital resource for many businesses. It helps business leaders make better decisions, it automates complex tasks and it can be used to boost productivity while reducing waste. With modern AI platforms, modern businesses can access powerful machine learning tools that make it easier to tap into the power of artificial intelligence.
About the author
Chloe Kirby is a writer and digital marketing professional. She earned her Bachelor of Arts Degree at McGill University in Montreal, Canada and her Master’s Degree at Goldsmiths University in London, England. Chloe has professional experience in e-commerce, digital marketing, and copywriting. For the last year she has been working in New York City.
