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The Premier Event for Accelerating Employee Engagement, Customer Experience and Digital Innovation
Build an applications organization with the agility and flexibility to support today’s digital business demands. Empower your entire enterprise to address digital business opportunities and use leading technologies to create and deploy business critical solutions.
2016 Conference Tracks
Track A: Effective Leadership in the Digital Age
Track B: Application Strategies for Digital Business Transformation
Track C: Integration: Connecting the Dots Across and Beyond the Enterprise
Track D: Application Development: Enhancing Customer and Employee Engagement
Track E: Rethinking the Customer Experience
Track F: Platforms for Delivering Customer and Employee Solutions
Track G: Designing the Digital Workplace
Track H: Innovations in Application Architecture
Track I: Balancing Renovation With Innovation
Track J: Business and IT: Blurring the Lines for Maximum Impact
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For more information of predictive analytics process, please review the overview of each components in the predictive analytics process: data collection (data mining), data analysis, statistical analysis, predictive modeling and predictive model deployment.
Top predictive analytics software and Top predictive analytics open source software.
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