Home IT Info News Today 12 Top AI as a Service Companies (2024): Powerhouses of AI P…

12 Top AI as a Service Companies (2024): Powerhouses of AI P…

61
Businessman holding a glowing virtual AI icon surrounded with different industry icons.


eWEEK content material and product suggestions are editorially impartial. We might become profitable whenever you click on on hyperlinks to our companions. Learn More.

Artificial intelligence as a service (AIaaS) corporations use a mix of AI expertise and the “as a service” mannequin to ship superior options to companies that will not in any other case be capable of deal with the complexities, prices, and ability necessities of implementing AI.

Many companies use not less than one cloud-based AI service, and since few of those organizations have the in-house experience to do that work successfully, they outsource their AI must third-party distributors. Consequently, AIaaS corporations have change into a vital a part of constructing a profitable AI technique.

Here are our picks for the most effective AI as a service corporations in 2024:

  • IBM: Best for Automating Complex Processes
  • Amazon Web Services (AWS): Best for Features and Global Presence
  • Microsoft: Best for Developers and Data Scientists
  • Google: Best for Data Preparation and Management Resources
  • OpenAI: Best for Generative AI
  • NVIDIA: Best for AI Hardware and Infrastructure Expertise
  • ServiceNow: Best for IT and Business Workflows
  • Salesforce: Best for Marketing and Sales Teams
  • MonkeyLearn: Best for Text Analysis
  • DataRobotic: Best for Hands-On Support
  • H2O.ai: Best for Industry-Specific Service Solutions
  • Oracle: Best for Custom Business Use Cases

Comparing the Top AI as a Service Companies

The following desk exhibits at a look how the highest AIaaS corporations evaluate.

Use Case Computer Vision Audience Size Focus Free Tier Available Pricing
IBM Automating complicated processes Yes All enterprise sizes Yes High-end
Amazon Web Services (AWS) Features and international presence Yes All enterprise sizes Yes Low-end
Microsoft Developers and information scientists Yes All enterprise sizes Yes Moderately priced
Google Data preparation and administration assets Yes Primarily midmarket and enterprise Yes Moderately priced
OpenAI Generative AI Yes All enterprise sizes Yes Moderately priced
NVIDIA AI {hardware} and infrastructure experience Yes Primarily midmarket to enterprise No High-end
ServiceNow Workflow automation No Enterprise No Moderately priced
Salesforce Marketing and gross sales groups Limited Primarily midmarket and enterprise No Moderately priced
MonkeyLearn Text evaluation No Primarily SMB and midmarket No Moderately priced
DataRobotic Hands-on assist Limited All enterprise sizes No High-end
H2O.ai Industry-specific service options Limited Primarily SMB and midmarket Free Trials Only High-end
Oracle Custom enterprise use circumstances Yes Enterprise Yes High-end

Featured Partners: AI Software

IBM icon.

IBM

Best for Automating Complex Processes

Long a train chief, IBM has emerged as an early AI chief with providers that it affords underneath the umbrella of IBM Watson and watsonx. Watson is an AI system that mixes pure language processing, machine studying, and different superior applied sciences to research and perceive massive quantities of knowledge. It has been utilized in numerous industries, together with healthcare, finance, retail, and customer support, to supply insights, make suggestions, and help with decision-making.

You can choose from a wide range of prebuilt apps from IBM Watson, together with watsonx Orchestrate, for automating complicated processes. Because of the depth and maturity of IBM’s providing, the corporate excels at automating even probably the most extremely configured complicated methods.

Rounding out the IBM AIaaS providing is conversational AI by way of pure language prompting, watsonx Assistant for constructing and commissioning digital brokers, watsonx Code Assistant to assist builders with AI-generated code, and Watson Discovery for content material evaluation in enterprise…



Source hyperlink

LEAVE A REPLY

Please enter your comment!
Please enter your name here