Anthropic is an AI research company whose product, Claude, is an AI assistant available for a variety of business tasks. Boasting a 100K+ token windows, Claude can handle complex multi-step instructions over large amounts of content.
$20
per month
Azure Machine Learning
Score 8.2 out of 10
N/A
Microsoft's Azure Machine Learning is and end-to-end data science and analytics solution that helps professional data scientists to prepare data, develop experiments, and deploy models in the cloud. It replaces the Azure Machine Learning Workbench.
$0
per month
Pricing
Anthropic Claude
Azure Machine Learning
Editions & Modules
Pro
$20
per month
Team - Standard
$30
per month per seat (minimum 5)
Team - Premium
$150
per month per seat (minimum 5)
Max
from $100
per month
Enterprise
Contact Sales
Studio Pricing - Free
$0.00
per month
Production Web API - Dev/Test
$0.00
per month
Studio Pricing - Standard
$9.99
per ML studio workspace/per month
Production Web API - Standard S1
$100.13
per month
Production Web API - Standard S2
$1000.06
per month
Production Web API - Standard S3
$9999.98
per month
Offerings
Pricing Offerings
Claude
Azure Machine Learning
Free Trial
No
No
Free/Freemium Version
Yes
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
Discount available for annual billing and Pro, Max and Standard Team plans. Claude Code included in higher tier service. Usage-based billing available with API access plans with discount for batch processing.
Claude is well suited to help build documentation, strategic plans, and document analysis very well. I just recently had a client ask me for Terms & Conditions of a new service offering we are developing. I had Claude look at some existing artifacts we have already created and added some additional key points, to develop our T&C. Claude helped streamline the process in a few hours, that could have take several days to weeks to fine tune
User friendliness: This is by far the most user friendly tool I've seen in analytics. You don't need to know how to code at all! Just create a few blocks, connect a few lines and you are capable of running a boosted decision tree with a very high R squared!
Speed: Azure ML is a cloud based tool, so processing is not made with your computer, making the reliability and speed top notch!
Cost: If you don't know how to code, this is by far the cheapest machine learning tool out there. I believe it costs less than $15/month. If you know how to code, then R is free.
Connectivity: It is super easy to embed R or Python codes on Azure ML. So if you want to do more advanced stuff, or use a model that is not yet available on Azure ML, you can simply paste the code on R or Python there!
Microsoft environment: Many many companies rely on the Microsoft suite. And Azure ML connects perfectly with Excel, CSV and Access files.
Claude is a trusted platform from our perspective. We have been using this platform (paid version) more and more the past few months. The value returned is more than worth it. As more integrations points happen, we see Claude being a long term part of our ecosystem. Data creation, analysis, and assessments can be a tedious process. Claude delivers robust and efficient outcomes that help us for on higher level tasks.
Anthropic Claude is just as good as any of the aforementioned platforms. We were using ChatGPT primarily before Claude. We have leaned more to Claude in recent months, but use other solutions to keep a balanced approach to research and analysis. We plan to keep Claude as a core component of our tech stack moving forward, as it has proven value time and time again.
It is easier to learn, it has a very cost effective license for use, it has native build and created for Azure cloud services, and that makes it perfect when compared against the alternatives. As a Microsoft tool, it has been built to contain many visual features and improved usability even for non-specialist users.
ROI is immediate in the consulting space. We draft documents for clients often and have the ability to produce exponential output with Claude.
Claude has allowed us to develop HTML and java code based on our requirements for a client. It has also helped identify bad code and shortened our development lifecycle
Claude has turned into a value added platform that we rely on to verify information and provide suggestions. We look at Claude as a strategic technology partner
Productivity: Instead of coding and recoding, Azure ML helped my organization to get to meaningful results faster;
Cost: Azure ML can save hundreds (or even thousands) of dollars for an organization, since the license costs around $15/month per seat.
Focus on insights and not on statistics: Since running a model is so easy, analysts can focus more on recommendations and insights, rather than statistical details
