Free Microsoft Webinar on Interactive Price Analytics, Now Available on Azure

Join us for a free Microsoft webinar on Interactive Price Analytics and learn more about this fascinating topic. At the end of it, you will be able to use our new solution right out-of-the-box, or work with a Microsoft solution partner to you customize the solution further, to meet your business specific needs. The webinar… Read more

Bringing AI to BI – Text Analytics in Azure Machine Learning

This post is authored by Sudarshan Raghunathan, Principal Software Engineering Manager, Darren Edge, UX Architect, and Jonathan Larson, Principal Data Architect, at Microsoft. Azure Machine Learning Studio provides a Swiss-army knife of tools to operate on text datasets in a robust and efficient manner. For instance, there is a suite of built-in modules for lower-level… Read more

Announcing Cortana Intelligence Solution Evaluation Tool

This post is authored by Avi Bathula, Senior Program Manager Lead, and Jamie Olson, Senior Software Engineer, on the Microsoft Cloud & AI Ecosystem team. Most of you know about Microsoft’s Cortana Intelligence and how solutions/apps built with Cortana Intelligence are already helping organizations transform their data into actionable insights. As noted in the linked… Read more

Using Azure Data Lake and R for Fraud Detection

This post is authored by Yiwen Sun, Data Scientist, Esin Saka, Senior Software Engineer, and Shravan Matthur Narayanamurthy, Senior Software Engineering Manager, at Microsoft. As petabyte-scale data becomes available, how to successfully enable and scale the traditional machine learning paradigm onto big data infrastructure is no longer a trivial matter for the likes of AI… Read more

Data Virtualization: Unlocking Data for AI and Machine Learning

This post is authored by Robert Alexander, Senior Software Engineer at Microsoft. For reliability, accuracy and performance, both AI and machine learning heavily rely on large sets. Because the larger the pool of data, the better you can train the models. That’s why it’s critical for big data platforms to efficiently work with different data… Read more

Microsoft AI – Now Serving Critical Care Patients, Water-Insecure Populations in Africa, Bank Customers in New Zealand & Many More

New customers are benefiting from Microsoft’s Artificial Intelligence offerings at a record pace  – here’s a look at some of the latest. Saving the Lives of Patients in Critical Care A large part of our current healthcare system is geared towards treating patients only after they have fallen quite sick. While it would clearly be… Read more

Deployment of Pre-Trained Models on Azure Container Services

This post is authored by Mathew Salvaris, Ilia Karmanov and Jaya Mathew. Data scientists and engineers routinely encounter issues when moving their final functional software and code from their development environment (laptop, desktop) to a test environment, or from a staging environment to production. These difficulties primarily stem from differences between the underlying software environments… Read more

Democratizing AI Through Microsoft Certifications in Data Science & Machine Learning

Posted by Marla Michel, Senior Program Manager for Ecosystem Development & Training at Microsoft. This blog is the first in a series where we will discuss several new certification exams for data professionals and the resources to prepare for them. When individuals decide which certification to take, their decision is typically based on their role… Read more

Now Serving: More AI with Your Big Data

Re-posted from the Microsoft SQL Server blog. Earlier today, at Build 2017, we made a string of announcements to further help developers and customers around the planet create breakthrough experiences through the power of artificial intelligence and big data. There were 3 major themes to these announcements: 1. AI at the Heart of the Microsoft… Read more

Monitoring Petabyte-Scale AI Data Lakes in Azure

This post by Reed Umbrasas, Software Engineer at Microsoft. Azure Data Lake Analytics lets customers run massively parallel jobs over petabytes of raw data stored in Azure Data Lake Store. During the recent Microsoft Data Amp event, we demonstrated how this massive processing power can be used to build a petabyte scale AI data lake… Read more