Get Rewarded for Sharing Your Experience with Azure Machine Learning

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Artificial Intelligence (AI) and (ML) have become essential tools for businesses to stay competitive in today's data-driven world. Whether you're working with traditional ML or generative AI, with Microsoft Azure Machine Learning, we strive to empower your data science and app developments teams to build, fine-tune, evaluate, deploy, and manage high-quality models at scale, with confidence. The platform is built to help organizations accelerate time to value with industry-leading MLOps, open-source interoperability, responsible AI practices, integrated tools, and built-in governance, security, and compliance for running workloads anywhere. We continually improve with the valued input of our customers.

Your voice matters—help other organizations learn about Azure

We humbly invite our customers to get rewarded for sharing your first-hand experience working with Azure Machine Learning by writing a review on Gartner Peer Insights. Your review will not only assist other developers, data scientists, and technical decision-makers in their platform evaluation process, but also help shape the future of our platform. Thank you for your time and feedback!

Write a review and claim your reward*
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*Reward: You will receive a $25 gift card, a 3-month subscription to Gartner research, or a donation to a charitable cause as a token of our appreciation.

Writing a Review is Simple:

  • Highlight your experience using Azure Machine Learning.
  • Personal emails are not accepted, so please use your business email or sign in with LinkedIn.
  • You must attest to not being an employee, partner, consultant, reseller, or a direct competitor of Microsoft.
  • Explore past reviews here: Microsoft Azure Machine Learning Reviews

What is Gartner Peer Insights?

Gartner Peer Insights is a trusted online platform where IT professionals and technology decision-makers read and write reviews and ratings for various IT software and services. Your review holds immense value in helping others make informed decisions and finding solutions that meet their unique needs.

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Terms and Conditions Apply:

  • Your privacy is paramount, as only your role, industry, and organization size will be displayed.
  • The reviewer must be an Azure AI customer and be a working enterprise professional including technology decision-makers, enterprise-level users, executives, and their teams (e.g., students and freelancers are not allowed to submit a review). The reviewer must: attest to the authenticity of the review by certifying that (i) he or she is not an employee of Microsoft a partner of Microsoft or a direct competitor of Microsoft; (ii) employed by an organization with an exclusive relationship with the product being reviewed (this includes exclusive partners, value-added resellers, system integrators, and consultants); and (iii) the feedback is based entirely on his or her own personal experience with Microsoft's Azure AI.
  • The offer is good only for those who submit a product review on Gartner Peer Insights and receive confirmation their review has been approved by Gartner. Limited to one reward per person. This offer is non-transferable and cannot be combined with any other offer. The offer is valid while supplies last. It is not redeemable for cash. Taxes, if there are any, are the sole responsibility of the recipient.  Any gift returned as non-deliverable will not be re-sent. Please allow 6-8 weeks for shipment of your gift. Microsoft reserves the right to cancel, change, or suspend this offer at any time without notice. This offer is not applicable in Cuba, Iran, North Korea, Sudan, Syria, Crimea, Russia, and China. For more information, please refer to Gartner Peer Programs Community Guidelines.

Your Privacy Matters:

Rest assured that the respondent's information will only be used for the purpose of mailing the gifts to recipients. For more information, please review our Microsoft Privacy Statement.

 

This article was originally published by Microsoft's AI - Machine Learning Blog. You can find the original article here.