Atlanta Business Intelligence Group

Welcome, Atlanta Microsoft Business Intelligence and Power BI Fans!

Meet other local Business Intelligence fans to discuss the Microsoft BI Platform. Unless otherwise announced, we meet on the first Monday of every month. Membership is complimentary but please register at pass.org and associate with our group.

Please RSVP your attendance for each meeting by submitting the survey on the right. Please note that the voting system tracks votes by cookies. If you don't see an option to submit the survey, clear your browser cookies or right-click the Internet Explorer icon and click Start InPrivate Browsing.

Meeting Agenda
6:30 - 6:45 - Networking
6:45 - 7:00 - Announcements, Prototypes with Pizza
7:00 - 7:15 - Sponsor Presentation
7:15 - 8:15 - Main Presentation
8:15 - 8:30 - Q&A, Swag

Meeting Place
8000 Avalon Boulevard
Suite 900
Alpharetta, GA 300092

Parking
Please use the covered parking lot next to Avalon 8000 building. The second gate on the right should be open so you can use the parking space reserved for Microsoft without using an event code. You can also park anywhere else. 

WiFi
Make sure your wireless adapter is set to dynamically obtain an IP address. Connect to the wireless network MSFTGUEST. Open a browser and navigate to a web site to be redirected to the Captive Portal. The access code will be provided onsite

Discussion Forum
Visit our Atlanta Microsoft Business Intelligence Group discussion forum to connect, learn, and interact with peers.

Next Meeting

Presentation:

Predictive Analytics with Power BI

Date:

January 7, 2019, Monday

Time

6:30 – 8:30 PM ET

Place:

Microsoft Office (Alpharetta)

8000 Avalon Boulevard Suite 900
Alpharetta, GA 30009

Overview:

Predictive analytics, also known as data mining, machine learning, and artificial intelligence (AI), is an increasingly popular requirement. Fortunately, you don't have to be a data scientist to benefit from machine learning in Power BI. This session is organized in two parts:

  • Part 1 – We will revisit the existing machine learning features in Power BI, including Quick Insights, Explain Increase/Decrease, linear forecasting, integration with R and Python.
  • Part 2 – We will look at exciting new features that are coming up in near future, such as integration with Azure ML and Cognitive Services, and automated machine learning.

Speaker:

Mark Tabladillo Ph.D. is a data scientist at Microsoft. His career has focused on industry application of advanced analytics, using a variety of analytics tools including SAS, SQL Server Analysis Services, Cortana Intelligence (including Microsoft R Server and Microsoft Machine Learning Services), R, and Python. He was a founding member of the Atlanta Microsoft BI User’s Group in 2010.

 

Through his Atlanta-based company Prologika (https://prologika.com), a Microsoft Gold Partner in Data Analytics, Teo Lachev helps organizations make sense of their most valuable asset: their data. Teo has authored and co-authored several bestselling books on organizational and self-service data analytics, and he has been leading the Atlanta Microsoft BI and Power BI group since he founded it in 2010. Teo has been a Microsoft Most Valued Professional (MVP) Data Platform since 2010.

 

Sponsor:

CData Software is a leading provider of data access and connectivity solutions. We specialize in the development of Drivers and data access technologies for real-time access to on-line or on-premise applications, databases, and Web APIs. Our drivers are universally accessible, providing access to data through established data standards and application platforms such as ODBC, JDBC, ADO.NET, OData, SSIS, BizTalk, Excel, etc.

https://cdata.com


Prototypes with Pizza

"Python Fuzzy Wuzzy for Master Data Identity Mapping" by Julie Smith

 

 

Meetings

Meetings in 2019

Jan 7
Feb 4
Mar 4
Apr 1
May 6
Jun 3
Jul 1
Aug 5
Sep 9
Oct 7
Nov 4
Dec 2


 

RSVP

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Sponsors

TRC 

 

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TEKSystems 


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Choose Meeting Venue

1. Which day do you prefer for our meetings?

South Terraces (current place) (60) 31%
Microsoft Office (Avalon) (120) 62%
Alternate between two places (13) 7%

Topic Poll

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