Posted by jaymepobre748 July - 18 - 2015 ADD COMMENTS


Farifax, VA (PRWEB) July 29, 2014

Venio Systems, the leading provider of integrated e-discovery software for corporations, law firms, government agencies and service providers, announced today that it will demonstrate newly released version 5 of its Venio Integrated E-Discovery Platform at ILTA Annual Conference 2014.

Version 5 demonstrates the use of predictive coding in different phases of the Electronic Discovery Reference Model (EDRM), including early case assessment, review and quality control and delivers other advantages for both end users and administrators. End users will benefit from enhancements like Near DeDupe, DT-like syntax for proximity, web printing with slip sheets, improved performance of web native viewing. “The most important enhancement for end users, however, is Venio Assisted Review,” says Chris Jurkiewicz, Venio’s co-founder and Executive Vice President of Client Services. Venio Assisted Review (VAR) provides quick categorization of data, predictive coding, and quality control and is easy to use with automatic and integrated workflows.

Administrators can look forward to greatly improved speed and productivity driven by Venio’s leverage of distributed computing. “Distributed computing allows our system to use its resources better and increase bandwidth for increased speed,” says Arestotle Thapa, Venio’s CEO and Chief Technology Officer. “It also allows administrators to easily prioritize critical jobs.” Other enhancements for administrators include improved forensic image support, multiple slip sheeting options, tiff improvements, improvements in the export capabilities and new reports.”

Venio is showcasing version 5 of its Venio Integrated E-Discovery Platform at the 37th Annual International Legal Technology Association (ILTA) Meeting in Nashville, August 17-21, 2014. For more information about the conference, please visit http://conference.iltanet.org/..

For more information about the Venio’s Integrated eDiscovery Platform please visit http://www.veniosystems.com.

About Venio Systems

Venio Systems, based in Fairfax, Virginia, is a team of innovators and developers with 20 years of experience in providing e-discovery solutions. Venio Systems was created to address the industry’s lack of truly integrated e-discovery systems. Venio Integrated E-Discovery Platform is a fully functional web-based application designed to provide law firms, corporations and government entities the ability to manage all phases of discovery from a single tool. Venio Systems remains on the forefront of innovation to provide solutions anyone can use. For more information, visit http://www.veniosystems.com/.







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Posted by jaymepobre748 May - 22 - 2015 ADD COMMENTS


Albany, NY (PRWEB) October 20, 2014

Big Data and predictive analytics solutions are poised to optimize the value of data within the financial services sector. Banks, investment firms, insurance companies and other service providers are learning to leverage the value of data and gain competitive advantage, minimize costs, convert challenges to opportunities, and minimize risk in real-time.

View Full Report at http://www.marketresearchreports.biz/analysis/226337

Big Data technologies and related business intelligence solutions provide financial services firms with the capability to capture and analyze data, build predictive models, back-test and simulate scenarios. Through iteration, firms will determine the most important variables and also key predictive models.

There is a huge opportunity for financial services firms to apply new data sets and new algorithms to optimize capital allocation, cash management, and currency processing. The financial implications are manifest in improved capital flows and profitability for many firms within the ecosystem.

Download Detail Report With Complete TOC at http://www.marketresearchreports.biz/sample/sample/226337

Big Data in Financial Services Industry: Market Trends, Challenges, and Prospects 2014 – 2019 evaluates Big Data prospects and opportunities within the financial services sector and answers the following key questions:

How is Big Data expected to impact the financial services industry?

What are the Big Data players financial management solutions and their impact?

What are the Big Data financial management models and how are they applied?

What are the near-term and long-term benefits to the financial services industry?

What are the specific challenges that the financial services industry faces with Big Data?

All purchases of Mind Commerce reports includes time with an expert analyst who will help you link key findings in the report to the business issues you’re addressing. This needs to be used within three months of purchasing the report.

Target Audience:

Big Data companies

Telecom service providers

Financial services companies

Regulatory and policy makers

Data services and analytics companies

Cloud and telecom infrastructure providers

Browse All Mind Commerce Publishing Market Research Reports at http://www.marketresearchreports.biz/publisher/4

Report Benefits:

Big Data in financial services forecasting through 2019

Identify leading companies and solutions for financial sector

Understand the role and importance of Big Data in financial services

Recognize the future prospects for Big Data in financial services industry

Identify initial and ongoing implementation areas for Big Data and analytics

Companies in Report:

1010DATA        

10GEN

ACTIAN                

ALTERYX            

AMAZON            

ATTIVIO

BMC

BOOZ ALLEN HAMILTON

CAPGEMINI        

CISCO SYSTEMS

CLOUDERA        

CSC

DELL

EMC

FUSION-IO

GOODDATA        

GOOGLE            

GUAVUS            

HITACHI

HP

IBM

INFORMATICA

INTEL    

MARKLOGIC    

MICROSOFT

MU SIGMA

NETAPP

OPERA SOLUTIONS

ORACLE

PARACCEL

QLIKTECH

SAP

SGI        

SPLUNK

TERADATA

TIBCO SOFTWARE

VMWARE

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The Big Data Market: Business Case, Market Analysis & Forecasts 2015 – 2020

View Full Report at http://www.marketresearchreports.biz/analysis/224899

Big Data refers to a massive volume of both structured and unstructured data that is so large that it is difficult to process using traditional database and software techniques. While the presence of such datasets is not something new, the past few years have witnessed immense commercial investments in solutions that address the processing and analysis of Big Data. Big Data opens a vast array of applications and opportunities in multiple vertical sectors including, but not limited to, retail and hospitality, media, utilities, financial services, healthcare and pharmaceutical, telecommunications, government, homeland security, and the emerging industrial Internet vertical.

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Despite challenges, such as the lack of clear big data strategies, security concerns and the need for workforce re-skilling, the growth potential of Big Data is unprecedented. Mind Commerce estimates that global spending on Big Data will grow at a CAGR of 46% between 2015 and 2020. Big Data revenues will reach almost $ 190 Billion by the end of 2020.

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Big Data originally emerged as a term to describe datasets whose size is beyond the ability of traditional databases to capture, store, manage and analyze. However, the scope of the term has significantly expanded over the years. Big Data not only refers to the data itself but also a set of technologies that capture, store, manage and analyze large and variable collections of data to solve complex problems. Amid the proliferation of real time data from sources such as mobile devices, web, social media, sensors, log files and transactional applications, Big Data has found a host of vertical market applications, ranging from fraud detection to R&D.

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Despite challenges relating to privacy concerns and organizational resistance, Big Data investments continue to gain momentum throughout the globe. SNS Research estimates that Big Data investments will account for nearly $ 30 Billion in 2014 alone. These investments are further expected to grow at a CAGR of 17% over the next 6 years.

Big Data And Telecom Analytics Market: Business Case, Market Analysis & Forecasts 2014 – 2019

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Big Data refers to a massive volume of both structured and unstructured data that is so large that it is difficult to process using traditional database and software techniques. While the presence of such datasets is not something new, the past few years have witnessed immense commercial investments in solutions that address the processing and analysis of Big Data. Big Data opens a vast array of applications and opportunities in multiple vertical sectors including, but not limited to, retail and hospitality, media, utilities, financial services, healthcare and pharmaceutical, telecommunications, government, homeland security, and the emerging industrial Internet vertical.

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With access to vast amounts of data sets, telecommunications companies are emerging as major proponents of the Big Data movement. Big Data technologies, and in particular their analytics abilities, offer a multitude of benefits to telecom companies including improved subscriber experience, building and maintaining smarter networks, reducing churn, and generation of new revenue streams.

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Tags : , , , , , , , , , , , , , , , Big Data Analytics
Posted by gildenshelton565 May - 13 - 2015 ADD COMMENTS


Washington, D.C., (PRWEB) October 29, 2014

The Big Data and Enterprise Architecture Conference, to be held by the non-profit Data Management Forum on November 19-21, 2014, in Washington, D.C., is a premier event that shows how breakthroughs in Big Data, Data Warehousing methods, tools and approaches are shaping enterprise architecture within major corporations, governments and businesses on a world-wide basis, while citing from practical applications developed in various industries. It will describe how Big Data—and unstructured data in particular—will vastly influence the Data Management world over the next few years.

Speakers involved with DAMA, NASA, IBM, National Science Foundation, DARPA, National Institutes of Health, Dept. of Defense and White House Presidential Initiative on BIG DATA Research and Development and similar organizations dealing with Big Data issues will discuss some of the most successful programs that promise to greatly improve the tools and techniques needed to access, organize, and glean discoveries from huge volumes of digital data. Such programs hold the promise to solve the Nation’s most pressing challenges using Big Data Technologies in Education; Science; Defense/Intelligence; Biomedical Research; Computing; Energy; and in many more major arenas.

On Friday, the main seminar day, The 2014 Data Warehouse and Enterprise Architecture conference speaker list showcases topics in big data, analytics, enterprise architecture and data warehousing. Bill Inmon, the “Father of Data Warehousing” will present the keynote address, concerning the role of unstructured data in the big data world. Bill describes how some important innovative architectural features are intertwined – the life cycle of data, the need to connect unstructured data with structured data, the need to tightly couple metadata with the warehouse itself, the need for an enterprise metadata repository – all these features are vitally important for the next generation of data warehousing – and all are important to accommodate the needs for big data and analytics.

As an example of the power of NoSQL DB s in handling ANY kind of data—BIG or small—Mr. Norman T. Kutemperor (who has been called the “Father of NoSQL”), of Scientel will present an enhanced Enterprise Content Management & Search (ECMS) solution based on Scientel’s Gensonix NoSQL DB for structured and unstructured Big Data. ECMS can store, organize, and access at many levels virtually any kind of digitized data that an organization wants to track cost-effectively.

It will also focus on how its Gensonix NoSQL DB stores structured/unstructured data in Relational, Network, and Document formats, and is ideal for business, scientific, medical, etc., environments, as well as raw data analysis applications.

Other primary aspects will also be described, such as: Gensonix utilizes the NSQL® language; is native to low level languages such as C; supports many intrinsic functions; and performs easy recursive database/computing operations. Supporting multi-dimensional array processing, Gensonix is capable of very efficient analysis of vast amounts of structured and unstructured data at ultrahigh speeds. Gensonix also runs on Large Data Warehouse Appliance configurations and scales to large numbers of multiprocessor nodes.

Brief example case studies to be presented will show how: (a) Gensonix is faster and more economical in both development and production environments; (b) Gensonix can tackle complex problems that are difficult or nearly impossible with certain other types of database solutions; (c) Gensonix fully processes Trillion-record level large data tables without the use of table joins; (d) Scientel’s Gensonix-based ECMS can perform comprehensive, Enterprise-wide, cost-effective, management of ALL digitized data—“Big” or not.; (e) Gensonix can handle Big Data transactional data at speeds in excess of 1 Million transactions/minute, with R&D focusing on speeds much larger on LDWA equipment.

About Scientel Information Technology, Inc.

Scientel Information Technology, Inc. is a U.S.-based, international, systems technology company, operational since 1977. Scientel also designs/produces highly optimized high end servers, which can be bundled with its “GENSONIX® ENTERPRISE” DBMS software, as a single-source supplier of complete systems for Big Data environments. Scientel also customizes hardware and software for specific applications resulting in higher performance

.

Scientel’s specialty is advanced NoSQL DBMS design and applications/systems integration for advanced business processes. This includes applications for Big Data, commercial intranets, Supply Chain management, IT consulting, support, etc., along with “beyond mainframe-level” Large Data Warehouse Appliance hardware/systems.

GENSONIX® allows very user-friendly data manipulation capabilities found in standard, SQL-based, database management systems, but it goes beyond. It is truly an “ALL-in-One SQL” — an “All Data Management System” in the form of an ultra-flexible, NoSQL DBMS of perfectly general capabilities and application potentials. It can also function in concert with mainline SQL systems to efficiently handle both structured and unstructured data as a large data warehouse repository. However, it can handle heavy database loads by itself with the aid of the GENSONIX® NSQL©™ query/procedural language. GENSONIX® supports both telnet as well as http interfaces. GENSONIX® is capable of handling trillions of rows/transactions for billions of customers, which is a huge advantage in “truly Big Data” structured applications.

Business customers can take advantage of Scientel’s capabilities in advanced Business Intelligence and Data Analytics to grow their business by handling Big Data more cost-effectively and with greater insights to remain competitive. Scientific, government, and similar organizations can use these capabilities to efficiently process Big Data, instead of being swamped by it. And, Scientel’s Enterprise Content Management & Search solutions can vastly simplify storage, access, and management of any kind of digitized data for any size organization.







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Posted by BlairMABEL25 April - 8 - 2015 2 COMMENTS

Today’s amounts of collected data are showing a nearly exponential growth. More than 75% of all the data have been collected in the past 5 years. To store this data and process it in an appropria…
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Multi-core, Multi-threading is the new modality of computation, whether its in scientific field or non-scientific field, if we are to gain continued scalability of computations as we scale…
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Posted by jaymepobre748 February - 19 - 2015 10 COMMENTS

YouTube Nation counts down the top video challenges of the year including what’s in my mouth, ghost pepper, and ice bucket. Let us know what you think of the…
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Washington, D.C., November 21,2014 (PRWEB) November 25, 2014

The Big Data and Enterprise Architecture Conference was held by the non-profit Data Management Forum on November 19-21, 2014, in Washington, D.C. This was a premier event that showed how breakthroughs in Big Data, Data Warehousing methods, tools and approaches are shaping enterprise architecture within major corporations, governments and businesses on a world-wide basis, while citing from practical applications developed in various industries. It described how Big Data—and unstructured data in particular—will vastly influence the Data Management world over the next few years.

Speakers involved with DAMA, NASA-Jet Propulsion Lab, IBM, National Science Foundation, and similar organizations dealing with Big Data issues discussed some of the most successful programs that will greatly improve the tools and techniques needed to access, organize, and glean discoveries from huge volumes of digital data. Such programs hold the promise to solve the Nation’s most pressing challenges using Big Data Technologies in Education; Science; Defense/Intelligence; Biomedical Research; Computing; Energy; and in many more major arenas.

On Friday, the main seminar day, The 2014 Data Warehouse and Enterprise Architecture conference agenda listed showcase topics in Big Data, Analytics, Enterprise Architecture and Data Warehousing. Bill Inmon, the “Father of Data Warehousing”, presented the keynote address, concerning the role of unstructured data in the big data world. Bill described how some important innovative architectural features are intertwined – the life cycle of data, the need to connect unstructured data with structured data, the need to tightly couple metadata with the warehouse itself, the need for an enterprise metadata repository – all these features are vitally important for the next generation of data warehousing – and all are important to accommodate the needs for Big Data and Analytics.

As an example of the power of NoSQL DB in handling ANY type of Big Data, Mr. Norman T. Kutemperor (who has been called the “Father of NoSQL”), of Scientel also presented an enhanced Enterprise Content Management & Search (ECMS) solution based on Scientel’s Gensonix NoSQL DB for the varieties of unstructured Big Data. ECMS can store, organize, and access at many levels virtually any kind of digitized data that an organization wants to track cost-effectively.

Scientel’s presentation also focused on how its Gensonix NoSQL DB –a “polymorphic” DB — stores structured/unstructured data in Relational, Network, and Document formats, and is ideal for business, scientific, medical, etc., environments, as well as raw data analysis applications.

Polymorphism is the ability of an entity to behave like more than 1 of its counterparts given a set of circumstances or criteria; or, the provision of a single interface (a shared boundary across which separate components of a computer system exchange information) to entities of different types. In other words, in a polymorphic DB, you can use a relational approach when that is appropriate, hierarchical when that is, and so on. No one paradigm is fully implemented, but the DB uses enough of the features/capabilities needed to provide a reasonable solution to a problem.

It was noted that Gensonix has 7 main key features: Multi-modeling, Document stores, NSQL Language, SQL queries, Transaction Tables with OLTP, MPP on HPC and Never-Slow technology—ALL in a single DB! This identifies Gensonix as truly a polymorphic DB which allows it to behave like another DB in other instances.

Other primary aspects were also described, such as: Gensonix utilizes the NSQL® language; is native to low level languages such as C; supports many intrinsic functions; and performs easy recursive database/computing operations. Supporting multi-dimensional array processing, Gensonix is capable of very efficient analysis of vast amounts of structured and unstructured data at ultrahigh speeds. Gensonix also runs on Large Data Warehouse Appliance configurations and scales to large numbers of multiprocessor nodes.

Brief example case studies were presented that showed how: (a) Gensonix is faster and more economical in both development and production environments; (b) Gensonix can tackle complex problems that are difficult or nearly impossible with certain other types of database solutions; (c) Gensonix fully processes Trillion-record level large data tables without the use of table joins; (d) Scientel’s Gensonix-based ECMS can perform comprehensive, Enterprise-wide, cost-effective, management of ALL digitized data—“Big” or not.; (e) Gensonix can handle Big Data transactional data at speeds in excess of 2 Million transactions/minute on a single node, with speeds much larger on LDWA equipment.

About Scientel Information Technology, Inc.

Scientel Information Technology, Inc. is a U.S.-based, international, systems technology company, operational since 1977. Scientel also designs/produces highly optimized high end servers, which can be bundled with its “GENSONIX® ENTERPRISE” DBMS software, as a single-source supplier of complete systems for Big Data environments. Scientel also customizes hardware and software for specific applications resulting in higher performance.

Scientel’s specialty is advanced NoSQL DBMS design and applications/systems integration for advanced business processes. This includes applications for Big Data, commercial intranets, Supply Chain management, IT consulting, support, etc., along with “beyond mainframe-level” Large Data Warehouse Appliance hardware/systems.

GENSONIX® allows very user-friendly data manipulation capabilities found in standard, SQL-based, database management systems, but it goes beyond. It is truly an “ALL-in-One SQL” — an “All Data Management System” in the form of an ultra-flexible, NoSQL DBMS of perfectly general capabilities and application potentials. It can also function in concert with mainline SQL systems to efficiently handle both structured and unstructured data as a large data warehouse repository. However, it can handle heavy database loads by itself with the aid of the GENSONIX® NSQL©™ query/procedural language. GENSONIX® supports both telnet as well as http interfaces. GENSONIX® is capable of handling trillions of rows/transactions for billions of customers, which is a huge advantage in “truly Big Data” structured applications.

Business customers can take advantage of Scientel’s capabilities in advanced Business Intelligence and Data Analytics to grow their business by handling Big Data more cost-effectively and with greater insights to remain competitive. Scientific, government, and similar organizations can use these capabilities to efficiently process Big Data, instead of being swamped by it. And, Scientel’s Enterprise Content Management & Search solutions can vastly simplify storage, access, and management of any kind of digitized data for any size organization.







Find More Big Data Technology Press Releases

Tags : , , , , , , , , , , , , , , Big Data Opportunities
Posted by BlairMABEL25 January - 26 - 2015 ADD COMMENTS


– Data Management Systems Webinar for March 2014
from Academic Policy and Analytics
Price:
View Details about

Tags : , , , , , , Big Data Challenges
Posted by mod198 January - 20 - 2015 ADD COMMENTS


TORONTO, ON (PRWEB) January 20, 2015

Crawford Technologies is proud to announce that 2014 has been its strongest year financially to date, with sales reaching $ 9.9-million and an overall growth rate of 10%.

“Experiencing this solid growth is a testament to our rock-solid team and shows our relevancy in today’s market,” said Ernie Crawford, President and CEO of Crawford Technologies.

“The marketplace upheaval caused by new technologies such as high-speed inkjet, online statements, big data analytics, mobile integration and social media prompts organizations to reach out to us for assistance in putting it all together.”

Among some of CrawfordTech’s accomplishments in 2014 include:

    Winning the ‘2014 Xplor Technology of the Year Award’ from Xplor International
    Being honored for the fifth consecutive year by PROFIT 500 as one of Canada’s fastest-growing companies
    Being honored for the fourth consecutive year by Branham 300 as one of Canada’s top Information and Communications Technology companies
    Recruiting world-class executives to join the CrawfordTech leadership team including Scott Baker (Executive Vice President) and Carol Steinbock (Vice President of Human Resources)
    Expansion of our global partner network into Latin America, EMEA, APAC and North America
    Acquiring the coveted CP3 partnership status with EMC
    Being selected by ‘World’s Greatest! Television’ and being featured on one of their episodes on ION TV. To watch the episode, click here.

About Crawford Technologies

Crawford Technologies is an award-winning, worldwide leader in print-stream transformation, document re-engineering, workflow, document accessibility and archiving software solutions. For nearly 20 years, Crawford Technologies has continued to grow and expand their solution offerings in the Enterprise Output Management(EOM), Enterprise Content Management (ECM) and Document Accessibility markets.

Since 1995, Crawford Technologies’ award-winning solutions have helped over 1,800 companies around the world reduce costs associated with multi-channel customer communications’ by delivering bills, statements and other mission-critical transactional communications to their customers in the format preferred by each customer. This includes print formats for laser and inkjet printers, online formats like PDF, HTML and XML and alternate format documents in Braille, Large Print, PDF/UA, Audio and E-text for visually impaired and print-disabled customers.

With CrawfordTech’s range of unique software products and services, our clients simplify, automate and extend document delivery cost effectively – irrespective of current, legacy or future standards in infrastructure or document output. These clients, including four of the top five US banks, four of the top five US insurance companies and four of the world’s top five car manufacturers, are realizing high-value results as costs associated with document processes are minimized through automation, new opportunities for savings across critical communications are realized and they react quickly to changes in regulations, policies, business requirements and technical infrastructure.

CrawfordTech’s quality software, expert support and transactional document business knowledge help clients to meet operational, service, marketing, legal and compliance requirements and automate the delivery of billions of communications to their customers annually. Simply put, companies look to Crawford Technologies for a platform-independent approach, leading system performance and superior output fidelity. Please visit http://www.crawfordtech.com to find out more about CrawfordTech’s clients, people, partners and solutions.

For media and other enquiries please contact the CrawfordTech Press Office:

North America Tel: +1-416-923-0080

UK Tel: +44 (0)20 3289 4724

media(AT)crawfordtech.com

http://www.crawfordtech.com







Tags : , , , , , , Big Data Analytics
Posted by BlairMABEL25 January - 3 - 2015 1 COMMENT

Zoomdata is the fastest big data exploration, visualization, and analytics platform for Global 1000 enterprises. Zoomdata’s powerful and intuitive interface …
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Joseph Sirosh, Microsoft, at BigDataNYC 2014 with Dave Vellante and Jeff Frick @theCUBE #BigDataNYC The rise of the app economy has created a unique opportun…

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Posted by jaymepobre748 December - 20 - 2014 ADD COMMENTS

Saama Wraps Up 2014 With Addition of Stan Meresman to Board of Directors
“As Saama advances our market leadership through innovative analytics that solve complex business challenges, Stan's proven contributions as a board member will be a valuable asset,” said Suresh Katta, Saama CEO. “Stan's ability to transform companies …
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Cox Takes Big Data, Analytics to Hart
WiFi and the growth of the mobile ecosystem; complexities in the commercial-services arena; and using big data and analytics to predict and solve problems before they reach customers are just some of the information-technology issues facing operators …
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Using Analytics to Improve the Revenue Cycle Management
In an interview with RevCycleIntelligence.com, David Willie, the CFO of the Yuma Regional Medical Center and Tim Miller, the vice president of Business Development at MethodCare, spoke about the challenges of the industry, how predictive analytics is …
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