Kas Kasravi, an HP Fellow at Hewlett-Packard Enterprise Services, will be conducting a workshop on Analytics and Data Management, February 16th from 9am to 1pm at SRP in Tempe (1600 N Priest).  Coffee and bagels will be served at 8:30, so come early to network.

Please RSVP or send any questions to dama_phoenix <at> yahoo.com.  DO NOT REPLY TO THIS MESSAGE.  For additional information please visit our website.  Please forward this email to your colleagues!!

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Organizations are increasingly relying on business analytics as a strategy for growth in these challenging times. Analytics supports organizational agility by providing timely and actionable insights into emerging opportunities and threats. Effective delivery of business analytics requires a sound data management foundation, as well as analytics capabilities such as unstructured data management and visual data analysis. This workshop addresses these opportunities in the following three segments:

 

1.       Unstructured Data Management – Unstructured data includes textual data, as well as audio, image, video, and other types of data without a pre-determined data model. The volume of unstructured data is increasing rapidly, requiring advanced techniques for tapping into the wealth of contextual information buried in them. Various techniques, such as text mining, are used for managing unstructured data.

2.       Visual Data Analysis – As the saying goes, a picture is worth a thousand words. Visual representation of data can simplify understanding of the information buried in volumes of data sources. Visual data analysis extends beyond business graphics, revealing insights such as trends, correlations and clusters, without relying on specialized statistical techniques.
Interactive Workshop: The audience will collectively select a problem related to data management in support of analytics, and the TRIZ inventive problem solving methodology will be used in a facilitated manner to solve the problem. Audience participation is highly encouraged.

3. Interactive Workshop: The audience will collectively select a problem related to data management in support of analytics, and the TRIZ inventive problem solving methodology will be used in a facilitated manner to solve the problem. Audience participation is highly encouraged.


Kas Kasravi is an HP Fellow at Hewlett-Packard Enterprise Services. He has been with HP since 1985. His areas of interest include artificial intelligence, data mining, computational linguistics, predictive analysis, and invention methodologies. He has developed innovative solutions for clients in diverse industries, including engineering, manufacturing, pharmaceutical, financial, securities, procurement, insurance, and defense. Kas has been the recipient of two General Motors trade secrets, eight patents, and has over a dozen patents pending. He has published a number of papers in various topics including artificial intelligence, business intelligence, data analysis, and innovation methodologies. Kas has BS and MS degrees in engineering and a law degree with emphasis on intellectual property and patents. He is a Certified Manufacturing Engineer.

 
Mr. Kasravi can be reached at kas.kasravi <at> hp.com

Pete Stiglich
President, DAMA Phoenix
dama_phoenix <at> yahoo.com



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