Tag: award

Poem : A Poets Life

I read and wrote and joked and pondered
Inevitably I found myself occasionally wandered
Those who wander are not always lost
And so I consoled my earthly Faust

Sometimes the good guys win and place first
In an uncharectristic improbable late blooming burst

Predicting God‘s plan for yourself
Is like predicting who and if there is a God
No dearth of contradictions,
Self doubting logic brought.

Thanks for reading, hope it was worth your time
I am medium sized poet, with a mediocre chime
And sometimes you yourself may feel blue
Its your own time to waste, and remember that’s true.


Before I leave or you have left
Ponder once more what this moment brought
Summarizing once more a poets life
In an age of blogs, tweets and promotional strife

I am dying of a disease called life
Friends and Family are protective still
My medication helps but will only stall the end
My stubborn body awaits my soul upwards to send

I have lived not too long nor too short it will be
Fought battles some planned some momentarily
Made friends and loved ah so well
On the whole it was rather interesting to dwell







Related Articles

AsterData gets $30 mill in funding

From the press release, the maker of Map Reduce based BI software gets 30 mill $ as Series C funding. Given the valuation recently by IBM to Netezza, AsterData seems set to cross the Billion Dollar valuation within the next 18-24 months IMO

Aster Data Closes $30 Million Series C Financing

Explosive Growth and Market Leadership Attracts New and Existing Investors

San Carlos, CA – September 22, 2010 – Aster Data, a market leader in big data management and advanced analytics, today announced that it has closed a $30 million Series C round of financing led by both new and existing investors. The company will use the new funding to accelerate growth, scale operations, and expand its global market share in the $20 billion database market – a market that is experiencing rapid growth as a result of both the explosion in data volumes across organizations and the urgent need to deliver a new class of analytics and data-driven applications. The Series C round of funding includes previous investors Sequoia Capital, JAFCO Ventures, Institutional Venture Partners, Cambrian Ventures, as well as an additional new strategic investor.  Also investing in this round is early investor David Cheriton, who previously backed high-growth companies including Google and VMware, and co-founded several successful technology companies.

Today’s Series C funding announcement underscores a year of strong innovation, execution, and overall momentum for the analytic database company. Key milestones include:

Strong sales growth: Since 2008, Aster Data has doubled revenue year-over-year and secured key customers that leverage Aster Data’s platform to address the big data management problem including MySpace, comScore, Barnes & Noble, and Akamai. Like so many organizations today,
Aster Data’s customers are experiencing explosive data growth across their organizations and recognize the need for rich, advanced analytics that give them deeper insights from their data.

Key executive hires: Quentin Gallivan, former CEO of both PivotLink and Postini and EVP of worldwide sales at Verisign, recently joined the company as Chief Executive Officer. In addition, earlier this year, John Calonico, previously at Interwoven, BEA, and Autodesk, joined as Chief Financial Officer; and Nitin Donde, formerly an executive at EMC and 3PAR, joined as Executive Vice President Engineering.  The strength and experience of Aster Data’s management team helps further establish a strong operational foundation for growth in 2010 and beyond.

Industry recognition: Aster Data was positioned in the “Visionaries” Quadrant of Gartner, Inc.’s

Data Warehouse Database Management Systems Magic Quadrant, published 2010 *; was recently named 2011 Tech Pioneer by the World Economic Forum; was named “Company to Watch” in the Information Management category of TechWeb’s Intelligent Enterprise 2010 Editors’ Choice Awards; and was awarded the 2010 San Francisco Business Times Technology and Innovation Award in the Best Product and Services Category.

Product Innovation: Aster Data continues to deliver ground-breaking capabilities to address the big data management and advanced analytics market need. Its recent announcement of
Aster Data nCluster 4.6 includes a column data store, making it the first hybrid row and column MPP DBMS with a unified SQL and MapReduce analytic framework for advanced analytics on large data sets. This year, Aster Data also delivered the most extensive library of pre-packaged MapReduce analytics totaling over 1000 functions, to ease and accelerate delivery of highly advanced analytic applications.

Aster Data’s analytic database, also called a ‘Data-Analytics Server’ is specifically designed to enable organizations to cost effectively store and analyze massive volumes of data. Aster Data leverages the power of commodity, general-purpose hardware, to reduce the cost to scale to support large data volumes and uniquely allows analysis of all data ‘in-database’ enabling richer and faster processing of large data sets. Aster Data’s in-database analytics engine uses the power of MapReduce, a parallel processing framework created by Google.

”The funding we received in our Series C round is a strong endorsement of Aster Data’s market leadership position and the high growth potential of the big data market,” said Quentin Gallivan, Chief Executive Officer, Aster Data. “The Aster Data team has executed exceptionally well to-date and I am excited to have the resources to accelerate the growth of the company as we expand our operations and execute aggressively across all fronts.”

John M. Chambers Statistical Software Award – 2011

Write code, win cash, and the glory. Deep bow to Father John M Chambers, inventor of S ,for endowing this award for statistical software creation by grads and undergrads.

An effort to be matched by companies like SAS, SPSS which after all came from grad school work. Now back to the competition, I gotta get my homies from U Tenn in a team ( I was a grad student last year though taking this year off due to medico- financial reasons)

John M. Chambers Statistical Software Award – 2011
Statistical Computing Section
American Statistical Association

The Statistical Computing Section of the American Statistical
Association announces the competition for the John M.  Chambers
Statistical Software Award. In 1998 the Association for Computing
Machinery presented its Software System Award to John Chambers for the
design and development of S. Dr. Chambers generously donated his award
to the Statistical Computing Section to endow an annual prize for
statistical software written by an undergraduate or graduate student.
The prize carries with it a cash award of $1000, plus a substantial
allowance for travel to the annual Joint Statistical Meetings where
the award will be presented.

Teams of up to 3 people can participate in the competition, with the
cash award being split among team members. The travel allowance will
be given to just one individual in the team, who will be presented the
award at JSM.  To be eligible, the team must have designed and
implemented a piece of statistical software. The individual within
the team indicated to receive the travel allowance must have begun the
development while a student, and must either currently be a student,
or have completed all requirements for her/his last degree after
January 1, 2009.  To apply for the award, teams must provide the
following materials:

Current CV’s of all team members.

A letter from a faculty mentor at the academic institution of the
individual indicated to receive the travel award.  The letter
should confirm that the individual had substantial participation in
the development of the software, certify her/his student status
when the software began to be developed (and either the current
student status or the date of degree completion), and briefly
discuss the importance of the software to statistical practice.

A brief, one to two page description of the software, summarizing
what it does, how it does it, and why it is an important
contribution.  If the team member competing for the travel
allowance has continued developing the software after finishing
her/his studies, the description should indicate what was developed
when the individual was a student and what has been added since.

An installable software package with its source code for use by the
award committee. It should be accompanied by enough information to allow
the judges to effectively use and evaluate the software (including
its design considerations.)  This information can be provided in a
variety of ways, including but not limited to a user manual (paper
or electronic), a paper, a URL, and online help to the system.

All materials must be in English.  We prefer that electronic text be
submitted in Postscript or PDF.  The entries will be judged on a
variety of dimensions, including the importance and relevance for
statistical practice of the tasks performed by the software, ease of
use, clarity of description, elegance and availability for use by the
statistical community. Preference will be given to those entries that
are grounded in software design rather than calculation.  The decision
of the award committee is final.

All application materials must be received by 5:00pm EST, Monday,
February 21, 2011 at the address below.  The winner will be announced
in May and the award will be given at the 2011 Joint Statistical
Meetings.

Information on the competition can also be accessed on the website of
the Statistical Computing Section (www.statcomputing.org or see the
ASA website, www.amstat.org for a pointer), including the names and
contributions of previous winners.  Inquiries and application
materials should be emailed or mailed to:

Chambers Software Award
c/o Fei Chen
Avaya Labs
233 Mt Airy Rd.
Basking Ridge, NJ 07920
feic@avaya.com

SAS Sentiment Analysis wins Award

From Business Wire, the new Sentiment Analysis product by SAS Institute (created by acquisition Teragram ) wins an award. As per wikipedia

http://en.wikipedia.org/wiki/Sentiment_analysis

Sentiment analysis or opinion mining refers to a broad (definitionally challenged) area of natural language processing, computational linguistics and text mining. Generally speaking, it aims to determine the attitude of a speaker or a writer with respect to some topic. The attitude may be their judgment or evaluation (see appraisal theory), their affective state (that is to say, the emotional state of the author when writing) or the intended emotional communication (that is to say, the emotional effect the author wishes to have on the reader).

It was developed by Teragram. Here is another Sentiment Analysis tool from Stanford Grad school at http://twittersentiment.appspot.com/search?query=sas

See-

Sentiment analysis for sas

–

Image Citation-

http://threeminds.organic.com/2009/09/five_reasons_sentiment_analysi.html

Read an article on sentiment analysis here at http://www.nytimes.com/2009/08/24/technology/internet/24emotion.html

And the complete press release at http://goo.gl/iVzf`

–SAS Sentiment Analysis delivers insights on customer, competitor and organizational opinions to a degree never before possible via manual review of electronic text. As a result, SAS, the leader in business analytics software and services, has earned the prestigious Communications Solutions Product of the Year Award fromTechnology Marketing Corporation (TMC).

“SAS has automated the time-consuming process of reading individual documents and manually extracting relevant information”

“SAS Sentiment Analysis has shown benefits for its customers and it provides ROI for the companies that use it,” said Rich Tehrani, CEO, TMC. “Congratulations to the entire team at SAS, a company distinguished by its dedication to software quality and superiority to address marketplace needs.”

Derive positive and negative opinions, evaluations and emotions

SAS Sentiment Analysis’ high-performance crawler locates and extracts sentiment from digital content sources, including mainstream websites, social media outlets, internal servers and incoming news feeds. SAS’ unique hybrid approach combines powerful statistical techniques with linguistics rules to improve accuracy to the detailed feature level. It summarizes the sentiment expressed in all available text collections – identifying trends and creating graphical reports that describe the expressed feelings of consumers, partners, employees and competitors in real time. Output from SAS Sentiment Analysis can be stored in document repositories, surfaced in corporate portals and used as input to additional SAS Text Analytics software or search engines to help decision makers evaluate trends, predict future outcomes, minimize risks and capitalize on opportunities.

“SAS has automated the time-consuming process of reading individual documents and manually extracting relevant information,” said Fiona McNeill, Global Analytics Product Marketing Manager at SAS. “Our integrated analytics framework helps organizations maximize the value of information to improve their effectiveness.”

SAS Sentiment Analysis is included in the SAS Text Analytics suite, which helps organizations discover insights from electronic text materials, associate them for delivery to the right person or place, and provide intelligence to select the best course of action. Whether answering complex search-and-retrieval questions, ensuring appropriate content is presented to internal or external constituencies, or predicting which activity or channel will produce the best effect on existing sentiments, SAS Text Analytics provides exceptional real-time processing speeds for large volumes of text.

SAS Text Analytics solutions are part of the SAS Business Analytics Framework, backed by the industry’s most comprehensive range of consulting, training and support services, ensuring customers maximum return from their IT investments.

Recognizing vision

The Communications Solutions Product of the Year Award recognizes vision, leadership and thoroughness. The most innovative products and services brought to the market from March 2008 through March 2009 were chosen as winners of this Product of the Year Award and are published on the INTERNET TELEPHONY and Customer Interaction Solutions websites.

Award : Analyticbridge.com

Blog post on http://www.analyticbridge.com/group/memberofthemonth

Ajay Ohri has been selected as our Member of the Month for the second time. Most recently, Ajay recruited great new members, posted numerous interesting messages on his blog, added many applications and feeds to his profile, and contributed in many other ways to make AnalyticBridge better.
To be eligible for the Member of the Month award, a candidate must .

 

More details here

http://www.analyticbridge.com/group/memberofthemonth

ps — I am still waiting for the SAS Rookie Slumdog of the Year Award.

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