Predictive Analysis and Big Data

Predictive analysis is a hot topic today, especially when it is associated with big data. The research and development on the effective predictive mathematical model should be the essential part of this effort. It makes me thinking about my old days in multi-dimensional geometric modeling, especially in data interpolation and differential geometry, which creates mathematical models based on sampling data as reference or control points, with different degrees of continuities (smoothness). More data can help to make the degree of continuity higher, so that the model being more accurate. The similar mathematical models can definitely be applied to predictive analysis, using big data to tone the mathematical/computational models.  Mathematics is mathematics; it’s up to us how and where to use it.

BTW: I got my Ph.D in this area J

Cloud Computing Model - My Open Group Presentation in July 2013

Cloud Computing Model as Service Oriented Architecture

Yan Zhao, President, ArchiTech Consulting LLC, US

This presentation will discuss cloud computing from the evolution of service orientation point of view. It will discuss cloud computing models, the prior-arts, and the evolution path in federal government from Federal Enterprise Architecture, Service Oriented Architecture (SOA), and Service Oriented Infrastructure (SOI) or Federal Infrastructure Optimization Initiative, to Cloud Computing. It will also discuss the current trend of the new generation IT operating model, as well as the related business impact. While cloud computing is contributing to the enterprise evolution towards service orientation and shared services, appropriate business management and operation mechanisms must be in place in order to practice successfully, e.g. suitable business models, service models, service structure, funding models, operation models, operation structure, as well as lifecycle and governance. This presentation intends to provide a holistic view for the cloud computing evolution and shared service adoption in Federal Government.Key takeaways:

1. Cloud computing is an effort of continuous evolution in Federal Government towards service orientation and shared services, with efforts from Federal Enterprise Architecture, Service Oriented Architecture (SOA), and Federal Infrastructure Optimization Initiative.

 2. Cloud computing is a conceptual evolution from many of our past efforts, such as grid computing, utility computing, virtualization, distributed computing, SOA, SOI, Web Service, Application Service Provider (ASP), Internet Service Provider (ISP), etc. New technologies and solutions will add more efficiency during marching in the direction.

 3. Appropriate business management and operation mechanisms (e.g. suitable business models, service models, funding models, operation models) must be in place in order to practice cloud computing and shared services successfully.

 4. Shared service domain is a sub-domain in an enterprise, which should be appropriately identified and implemented

http://www.opengroup.org/events/timetable/1548