Agenda (Kansas City, Raleigh & Phoenix)
8:00 am – 8:30 am
Networking and Registration
9:00 – 9:20am
“The Market Realities of Cloud and Big Data” – InformationWeek Editor
9:20 – 9:55am
“Fundamentally Change the Experience and Economics of IT” – IBM Executive
Learn how customers are driving the speed and efficiency needed to shift resources from maintenance to growth
9:55 – 10:00am
Break
10:00 – 11:30am
Breakout Tracks

Track 1: Cloud Track – This track features three presentations focused on speeding and simplifying cloud deployment, with an opportunity to share your own experiences and learn how IBM’s PureFlex and PureApplication solutions can meet your challenges 10:00-10:30am
“Simplify Cloud Deployments” – IBM Executive
Attendees will learn how customers can simplify, speed, and reduce the risk of cloud adoption with integrated systems that are built to be cloud-ready
10:30-11:00am                  
“Accelerate Cloud Infrastructure Deployment” – IBM Executive
This interactive discussion will focus on how you can tailor your own cloud solution with Flex Systems, and how to leverage the infrastructure you have now to extend the business value of your cloud
11:00-11:30am
“Accelerate Cloud Application Platform Deployment” – IBM Executive
This interactive discussion will examine how your company can benefit from database-as-a-service capabilities for added deployment flexibility, and also how to support quick, automated deployment and management of complex workloads into a private cloud environments
Track 2: Big Data Track – This track features three presentations focused on developing an effective Big Data strategy for companies of all sizes and verticals, as well as finding value in existing data. Attendees will also have an opportunity to share their own experiences with transaction processing and operational analytics and learn how IBM’s PureData for Analytics solution can meet their challenges
10:00-10:30am
“Accelerate Big Data and Analytics” – IBM Executive
As IT leaders strive to meet the demands of more complex workloads, they’re working together with their business counterparts to take advantage of Big Data by leveraging systems with built-in expertise and integration by design to deliver a more simplified IT experience
10:30-10:50am
“Optimize Transactional Data Workloads” – IBM Executive
This interactive discussion will focus on how to rapidly create and manage robust data services without the complexity of traditional methods, as well as the importance of integrated systems for simplified management and maintenance
10:50-11:30am
“Optimize Operation Analytics Workloads” – IBM Executive
In this interactive discussion, learn how you can meet complex workload requirements with greater speed and simplicity, as well as how to optimize value to clients across industries
11:30am – 12:00pm
Panel Discussion and Key Takeaways Moderated by InformationWeek Editor
Panel: IBM Local Sales Leader; IBM Executive; Customer Speaker

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