Entries by Peter Radochia

The Total Economic Impact™ Of Microsoft Azure AI

Artificial intelligence is a critical component for enterprises that want to build differentiated

experiences and applications. How far are you in your AI journey? If you think you could be further along, download this Forrester analyst report showing how organizations using @Microsoft Azure AI have been able to minimize costs, automate workflows and deliver new or improved services to clients and customers.

Microsoft named a Leader in 2023 Gartner® Magic Quadrant™ for Strategic Cloud Platform Service

A purpose-built cloud infrastructure that lets your teams thrive in dynamic environments is the ideal AI solution. Can you think of a partner that enables you to unify siloed teams, distributed sites and sprawling systems into single operations? Take a look at this blog showing why Gartner® has recognized @Microsoft as a Leader in the recently published 2023 Gartner® Magic Quadrant™ for Strategic Cloud Platform Services (SCPS).

Building a Foundation for AI Success: A Leader’s Guide

In order to take advantage of an AI solution, you need to know where to start and how to organize your resources to make sure you’re getting the most value from your investment. How have you approached this issue? If you’re looking for ideas check out this helpful @Microsoft eBook highlighting how to assess, define and plan an AI strategy across an organization and define your AI roadmap.

Accomplish more in less time

Create new designs, fine tune documents, collaborate seamlessly and organize your work easily with @Microsoft 365 Copilot, your AI assistant.

Watch this video to see what @Microsoft Copilot can do for you.

INSPIRE Environmental

INSPIRE Environmental needed a system to efficiently analyze data and images of the seafloor. Where did they turn? Their teams figured out that they could create a solution using @Microsoft Azure that would get the job done. Read this customer story about how INSPIRE combined Azure Custom Vision, Azure Cognitive Services and Azure Machine Learning to build a system to produce high-quality results.

Infuse responsible AI tools and practices into your LLMOps

It’s important to recognize that generative AI solutions bring great promise as well as challenges when it comes to data security and privacy, low quality or ungrounded outputs and harmful content. How have you navigated these obstacles in your AI journey? Read this blog showing how @Microsoft uses cutting-edge research ideas combined with the best practices about policy and customer feedback to build and integrate responsible tools into its AI portfolio.