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Global Information Glut
People and data at work


man with pdaIs your 21st-century business still operating like it was in the 20th-century? Are you buried by data and information which should be helping you to make decisions? Do you feel you may not have the right approach to analyzing your information?

AGS Analytics has experts to help you get the most out of the data and information that surrounds your business, your sales, your costs, and your competition. We offer rapid customized solutions – giving you the answers to your business’s specific questions just when those answers can do the most good.

We are ready to add our own energy to the development of your solution while working with your current developers and processes – we are experienced with agile, spiral, and traditional development approaches. We tailor our teams to your specific project – you get the expertise you need just where you need it.

AGS Analytics innovates to bring revolutionary solutions to help our clients.


Synthetic Teammate

air force research laboratory patchThe Synthetic Teammate project is conducting research on synthetic agents that can be integrated into team training simulations. Key challenges in advancing this technology are designing and implementing the agents so that the agents closely match human behavior across several cognitive capacities.  These capacities include situation assessment, task behavior, language comprehension, and language generation. The initial application for the synthetic teammate research is an agent functioning as the pilot of an Unmanned Aerial Vehicle (UAV) within a synthetic task environment.  Another challenge is achieving a high enough level of performance from the agent that does not detract from team training for human particpants,
More information on the Synthetic Teammate project is available at The Synthetic Teammate Project Wiki

The language comprehension component of the synthetic teammate research is based on Double R Theory.  Double R Theory is a linguistic theory of the grammatical encoding and integration of referential and relational meaning in English. The associated grammar is fundamentally a Cognitive Linguistic theory and the use of the term "grammar" encompasses meaning, function and structure as it does in Cognitive Grammar (also known as Cognitive Semantics). More information as well as scientific publications can be found at the Double R Theory Site.

AGS Analytics Joins the OSGi Alliance

osgi alliance logoAGS Analytics has recently joined the OSGi Alliance!

The OSGi Alliance is a worldwide consortium of technology innovators that advances a proven and mature process to create open specifications that enable the modular assembly of software built with Java technology. The OSGi Service Platform facilitates the componentization of software modules and applications and assures interoperability of applications and services over a variety of networked devices. The OSGi Service Platform is delivered in many Fortune Global 100 company products and services and in diverse markets including enterprise, mobile, home, telematics and consumer.

Data Conversion

Data conversion is the translation of data (just about any information) from one format into a different format.  For example, to a format usable by a new information processing system. Our experts and tools work with both unstructured and structured formats.

At AGS Analytics, we can help you convert your data from existing formats into formats your business can use:

  • spreadsheet  ⇒ SQL database
  • XML source documents ⇒ HTML web pages
  • printed paper document ⇒ XML
  • general text file ⇒ your database format
  • ... many, many others ...

and can transform those data into formats that are readily usable by your information processing systems.

What is Data Mining and How Can It Benefit My Company?

data mining iconData mining reveals hidden gems among seemingly incomprehensible amounts of data. What makes data mining special is that it can be used to predict future behavior rather than focus on past events. Last April stores in Dallas may have sold out of your umbrellas, but can you expect the same spate of sales this year? Did stores display the umbrellas near the galoshes? Did they drop the price, distribute coupons or promote a special on rain gear? Did the increase in sales of backpacks (or any other item) contribute to the umbrella blowout? Data mining professionals analyze the relationships among relevant patterns in data—sometimes seemingly unrelated data—to predict future trends.

Data Mining

Today's successful businesses rely on extracting patterns from data to drive strategy and growth. Data is gathered from nearly every business function including sales activities, purchasing records, web traffic, and other functional analytics routinely collected in a systematic fashion. Over time, these data points comprise a complete data set with a size that can exceed hundreds of terabytes. Turning these data points into relevant, actionable strategies is the function of data mining.

data mining enablersEnabling Data Mining

The power of data mining (also known as knowledge discovery in data, KDD) lies in the ability to produce patterns that highlight specific behaviors and extrapolate statistical predictions of future actions. Algorithms that consider core relationships in data sets help produce a clear and far more accurate picture of the whole data set, while providing a framework for future performance goals.  An example of this might be city planning provisions to support increased population growth driven by census data models. Financial institutions use predictive modeling to determine viability for proposed start-up businesses requesting capital loans, while researchers around the globe rely on data mining to aid their studies and progression towards medical and scientific breakthroughs.

What's So Difficult About Data Mining?

Given a spreadsheet, anyone with a B.S. in statistics can pick out an apparent pattern in data. But the truth is that, by themselves, obvious patterns in data may be irrelevant to a company’s goals. It takes an experienced analyst to determine if that pattern is actually useful to predicting future trends that can help your company meet its bottom line.

With a combined experience of more than four decades, at AGS Analytics we have developed systems and approaches for mining data and finding trends that organizations have used to further their research or to save or earn themselves money:

  • We have worked with federal government scientists to convert and combine large text databases and to extract semantic information from patterns in the data in order to test and prove psychological theories of human language processing.
  • We helped the Air Force identify skills among its workforce that could be improved through training. Then we developed the methodology and software to find the appropriate training programs at the lowest cost.
  • Working with investment managers, we identified investment strategies that worked best in specific market and economic circumstances. Our results showed which methods to use during specific market conditions—and which to avoid.

Importance of Data Accuracy

Managing data and obtaining useful information can be daunting challenges. Faced with the potential for inaccurate models and erroneous results, it is important to work with standardized rules that help develop the best possible models to better manage data in a meaningful way. Data forms are as numerous as the transactions they represent. Data can be a list of numbers, text characters, locations, product categories, a specific time, financial histories, travel patterns, or any other figure used to represent an event. For nearly any type of valid data, Data Mining can be successfully employed to uncover existing patterns to provide insight and offer predictable indicators for future transactions.  Asking the right questions, however, is the key to discovering meaningful results and useful guidance.

Advanced Text Analytics

Using our advanced semantic parsing and processing technologies, we build structured data from unstructured data and also transform between structured data formats. Our vision is to be the most advanced semantic data processing service on the planet! Our services are well suited for e-commerce and online information services.

New Technologies in Text Analysis

When you read an article related to your business, you may pick up on the author’s style: e.g., sentence construction, overuse of adverbs, unnecessary verboseness. In addition to this conscious evaluation, you are subconsciously analyzing that text for:


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