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How To Gain A Competitive Advantage With AI and IBM Analytics - Atlanta

Mar 28th 8:00 am - 2:30 pm
IBM Office - 6303 Barfield Road, Atlanta, GA 30328
Register today for the Atlanta, GA event, How To Gain A Competitive Advantage With AI and IBM Analytics. In addition, we will be featuring the new releases of Cognos Analytics v11.1, Planning Analytics. IBM and LPA executives and analytics product experts will discuss the current technical capabilities and the future direction of IBM Analytics.  
There is a optional hands-on lab after lunch. Seating for the lab is limited to 15 participants. Sign up today to reserve your seat.  
Don't miss your chance to ask the experts. We encourage questions throughout the day and want you to make the most of this event by joining in the discussions. We very much look forward to seeing you there!  
Address and site instructions:
IBM Office
6303 Barfield Road
Atlanta, GA 30328

Agenda – “How To Gain A Competitive Advantage With AI and IBM Analytics”

8:00 - 8:30 

Continental Breakfast and Registration 

8:30 - 9:30 

Keynote: IBM Analytics and the Journey to AI

9:30 – 10:15 

IBM Cloud Private (ICP) for Data

IBM® Cloud Private for Data is a native cloud solution that enables you to put your data to work quickly and efficiently. Your enterprise has data. Lots of data. You need to use your data to generate meaningful insights that can help you avoid problems and reach your goals. But your data is useless if you can’t trust it or access it. IBM Cloud Private for Data lets you do both by enabling you to connect to your data (no matter where it lives), govern it, find it, and use it for analysis. IBM Cloud Private for Data also enables all of your data users to collaborate from a single, unified interface, so your IT department doesn't need to deploy and connect multiple applications. This session will provide an overview of ICP for Data and highlight the latest enhancements to the platform. 

Watson Studio: IBM's Data Science Platform

IBM Watson Studio is an enterprise data science platform that provides industry leading model management and deployment plus end to end analytics for developing machine learning and decision optimization models. This session will provide an overview of IBM Watson Studio and highlight the latest enhancements to the platform.  

10:15 – 10:30

Break and Networking


10:30 - 11:15

IBM Cognos Analytics v11.1: AI embedded in BI! Discover What's New

The next generation of Cognos Analytics infuses traditional analytics with augmented intelligence capabilities and embedded smarts all within a single, integrated and highly secure platform. 

11:15 - 12:00




IBM Planning Analytics/TM1: What's New

Planning Analytics (PA) is disrupting the market by changing the approach to integrated business planning, budgeting, forecasting with superior ease of use, flexibility and better end-user engagement with a modern, web-based platform. This session will highlight the latest enhancements to the platform and provide a look at IBM's roadmap and strategic product direction.

12:00 - 1:00 

12:30 - 1:00

Lunch and Networking

Cognos v11 Data Modules

Data Modules enhancements in Cognos Analytics v11.1 will be presented, including topics such as: new user interface, creating tables, support for relative dates, security, caching, column formatting and splitting.

1:00 - 2:30

Hands-On Lab (Optional - limited seating) 

(Choose one) 

 Smart Data Discovery and Dashboards with IBM Cognos Analytics

Accelerate the process of turning your data into insight! In this lab, attendees will learn how to use their own personal data sets and blend those with enterprise data to create integrated data sources. Attendees will experience the way in which IBM Cognos Analytics empowers business users to perform smart data discovery, explore new insights in their data and create visually appealing dashboards with ease through the graduated nature of the user experience.  

 Develop and Deploy a Machine Learning Model in IBM Watson Studio

In this lab, you will learn how IBM Watson Studio can simplify and improve the process of developing and deploying machine learning models. Using built-in IBM Watson Studio capabilities and Jupyter Notebook IDE, we will review and prepare historical data, build a predictive model and deploy it for scoring. We will also configure a model evaluation to make sure the model continuously delivers accurate results. 



Register today using the form below.

 Note: To participate in a lab, you will need to bring a laptop computer. Each lab is limited to 25 participants. Reserve your spot today!

 **IMPORTANT NOTE** The workshop portion of this event will require access to public wifi, public IP addresses and Box folders. You will need to bring a laptop that will allow you to connect to these services.  

 Some corporate machines may prevent this access due to corporate security settings/firewall/VPN restrictions.  In these cases, the use of personally-owned laptops is recommended.


 Cognos Analytics Lab
 Watson Studio Lab
 Not Attending Either Lab