Microsoft AzureCon is Today!

Screen Shot 2015-09-29 at 10.29.00 AMAzureCon is today!
Be the first to see what’s next. Attend the free, virtual event. Hear from the experts about the latest Azure innovation and easy-to-adopt solutions. Listen as customers take the stage to share their stories. Join live Q&As and interact with the architects and engineers who are building the latest features. Choose from more than 60 technical sessions—and accelerate your journey to the cloud.

AIS will have two sessions led by Vishwas Lele that will be available immediately after Scott Guthrie’s keynote (2:00 PM EST).

Migrating your Application to Azure Service Fabric

This session is about migrating an existing Azure Cloud Services based application to Azure Service Fabric. We will begin with a quick discussion on different motivations for such a migration. The rest of the talk will be focused on walking through the migrated application code and discussing the available design choices.

Applying Azure ML to Software Development

Machine Learning (ML) has proven to be quite effective in a variety of application domains, including speech recognition, object recognition, image retrieval etc. In each of these aforementioned application domains, ML based “programs” must adapt to changing conditions, handle large data sets often with irregularities, and come up with algorithms with little / incomplete knowledge. Sounds similar to software development? Turns out that ML is being applied to the field of software development including reverse engineering legacy code, software fault detection, and requirement analysis. In this session we will look at various examples of Azure ML being applied to software development.

Click here to Join this free virtual event.

About AISblog

Since 1982, AIS has provided software and systems engineering services to enterprise companies and the U.S. government. We invest heavily in technology innovations that bring transformative change to our customers and trusted partners. AIS believes in being there for the long haul to advise on IT projects across your entire organization, to work with your teams as partners with the same goal: total project success, and not total hours billed.