We’re fascinated by the possibilities of Artificial Intelligence and the truly transformative opportunities it offers our customers. We’ve been digging deep into machine learning, computer vision and other AI capabilities for quite some time now, and believe they will grow into a significant part of our business. We’re not alone: IDC predicts 75 percent of developer teams will include cognitive and AI functionality in one or more applications this year.

“A lot of the sales process for AI and ML is centered around education…people are not calling asking for either specifically.”
– Vishwas Lele AIS

To assist companies looking to build an AI-focused practice, Microsoft recently released the AI Practice Development Playbook with guidance and resources around developing an AI strategy, gaining the required skills, plus how to market and sell these cutting-edge offerings. AIS is proud to be a contributing expert and co-author of the Playbook, along with our fellow Microsoft partners and other leading AI data scientists.

Get your copy of the AI Playbook right here. We’d love to hear what you think of it!

 

Recently I had an opportunity to sit down with Steve Michelotti, Program Manager on the AzureGov team and talk about a Machine Learning (ML) application we built for a federal agency. This application is great example of how AIS leverages the latest innovations on the AzureGov platform to build applications that align with agencies’ missions – and go beyond IT support to directly assist in meeting the mission objectives.

Specifically, this application was designed to help analysts get personalized recommendations (based on their own preference settings, ratings provided by their co-workers) for stories they need to analyze as part of their daily work.

Brent Wodicka from AIS described this application in an earlier blog post. Read More…

Recently we collaborated with Microsoft and Prospect Silicon Valley (ProspectSV) on a project to assess the viability and value of several Azure services. Specifically, we were asked to demonstrate how the cloud-based platform could be used to retrieve, store, visualize and predict trends based on data from multiple sources. In order to demonstrate these capabilities, we built an ASP.NET MVC application leveraging the following Azure components:

  • Azure App Services
  • Azure Machine Learning
  • Azure Power BI Embedded
  • Azure Storage

Figure 1: ProspectSV Application Architecture depicts how the system uses these four Azure components. This diagram also describes which external data sources are used and where that data is stored.
Read More…

The emerging technology of cognitive services teaches computers to understand the world as we humans do. Last night’s #AzureGovMeetup in DC focused on exactly how the exciting and powerful capabilities of cognitive services can help government agencies better meet their unique missions and improve citizen services and engagement.

Our speakers included Justin “Doc” Herman, program lead of Emerging Citizen Technology, Technology Transformation Service, General Services Administration, who shared how government is advancing the use of emerging technologies. The night also featured compelling presentations and demos on Microsoft Cognitive Services by Steve Michelotti, senior program manager, Azure Government; and Ken Hausman, data platform solution architect of Microsoft.

In case you missed it, AIS livestreamed a few portions of the event on Twitter. Watch the videos below and be sure to follow us @AISTeam. (And check out the #AzureGovMeetup hashtag for more photos and insights from the outstanding lineup of experts.) For future DC AzureGov Meetup dates and details, go here. We hope to see you next month! Read More…

Machine learning An Azure Machine Learning News Aggregator Solution

Here is an overview of a personalized, machine-curated delivery of news and related significant data in the public domain powered by Azure Machine Learning and Azure Cognitive Services, built by AIS.

A Little Background

Today’s 24-hour news cycle produces a vast amount of publicly available information about events occurring all over the globe. Imagine the data that is produced in a single hour, let alone in a single day. Now imagine having the responsibility of distilling that data into actionable information for a single team or individual. It would quickly become overwhelming! This was the reality for our client. They have offices and teams all over the world, and each team was seeking personalized views of data relevant to their region, mission and preferences. But by implementing machine learning technology, AIS developed a solution to help break through the noise. Read More…