Posts Tagged ‘business intelligence’

ISC Consulting Powers Pytheas AI with BrainDocs

Friday, June 24th, 2016

We are pleased to publish ISC’s submission under the DIUx program.  The new  “Defense Innovation Unit Experimental (DIUx) serves as a bridge between those in the U.S. military executing on some of our nation’s toughest security challenges and companies operating at the cutting edge of technology.” Powered by ai-one’s Nathan ICE artificial intelligence core for language, ISC’s Pytheas AI will provide ISC with the technology to assist researchers and help our governments keep us safe.  Some proprietary sections have been deleted in the version below.

ISC White Paper for DIUx Technology Area of Interest: Knowledge Management

By Jeremy Toor, ISC Consulting Group

Executive Summary

ISC/ai-one develops a prototype using Pytheas artificial intelligence (Pytheas AI) which will provide automated intelligent information management, or knowledge management (KM) of multiple data sources.  Pytheas AI fingerprints the flow of data from almost any source including chat, email, message traffic, and other data.   This AI core then supports the user in a publish/subscribe architecture, with building knowledge from the fingerprinted data through queries and intuitive alerts that understand the difference and importance of contextual situations.

The abundant quantity of data that is available to users, analysts, and commanders today can make it challenging to build a concise and accurate picture from which dynamic assessments can be made. Both Command and Control (C2) and intelligence systems are largely data-centric. Users that are required to make strategic and tactical decisions will benefit from a task-centric user experience that is able to manage information as it is created and presented, and distil many sources of data into a manageable data flow.  This user experience, facilitated by Pytheas AI will deliver an KM Engine that can accelerate the decision making process.

Through Pytheas AI the user will be presented with data that has gone through automated processes to be categorized, tagged, and ranked according to its value in the current context of operations.  Pytheas AI will give the user flexibility to tailor their focus area and pull information from a wide breadth of sources as they build situational awareness and confidence to take action.


ISC/ai-one proposes a three phase project.  Phase 1 will include one-week for initial installation, configuration and user training. Phase 2 will include a five-month period to support data ingestion, intelligent agent training and dashboard customization. Phase 3 will include a three-week evaluation and close out.


Pytheas AI is built with an artificial intelligence core to collect, organize and analyze language to uncover key links and patterns within large volumes of unstructured text.  The application empowers analysts to find the relationships necessary to discover, manage, process and exploit data.  Key features and attributes of Pytheas include:

  • Discovery of Concepts through the use of Intelligent Agents
  • Agent collections can be built from existing plans, roadmaps and strategy documents
  • DoD analysts can use common KM collections or build and share concept agents
  • Agents provide classification for query and tagging of documents
  • Application core is language independent
  • Fast and lightweight running on PC class machines or VMs

Pytheas AI is built upon ai-one’s BrainDocs software application (with NathanICE API core) which is a commercially ready and viable technology that has been applied to several use-cases similar to the requirements in the technology area of interest, knowledge management, that DIUx is seeking.  Our prototype for KM is ready for demonstration using sample data.

Pytheas uses the ability of ai-one’s proprietary NathanICE API to discern patterns in the words and associations that are central to the meaning of all or a portion of a text document (in the same way as the brain).  Nathan extracts these keywords and associations, filtering out the noise to create a proprietary fingerprint array of the concept that can be used in many ways.

Pytheas uses the fingerprint of a trained concept to find (rank) similar concepts within a corpus of information (documents, websites, databases) and returns paragraph-level results sorted by “similarity”. These results support a variety of workflows in enterprise compliance, classification, search and knowledge management.  Agent similarity scores are exported to Excel or your database to support analytics and BI tools. This can be done by the analyst for small ad hoc studies.  Agents can also be used to code years of legacy data without additional training.

Users employ agents in Pytheas AI to organize text based on contextual ideas and metadata dimensions, improving accuracy, consistency and saving substantial amounts of time in this tedious process.

The Basic Elements of Pytheas

Documents – Pytheas is capable of analyzing any form of unstructured text. In fact, our technology works best with semantically-rich content written in your business vernacular without external taxonomies or ontologies.  Working at the paragraph level it has been used on everything from text messages to database fields to long documents always with full traceability to source.

Conceptual Fingerprints – This is the “secret sauce” of our discovery capabilities. Pytheas uses the Nathan API keywords and associations to create semantic “fingerprints” of concepts. Because one concept can be written in multiple ways, our algorithm does not rely on word counts, natural language processing (NLP) or latent semantic analysis (LSA) when identifying and fingerprinting concepts.

Intelligent Agents – Pytheas agents examine and compare the conceptual fingerprints to find traces of concepts buried within your data. Our premise is that analyst is the expert and needs to be able to train their own army of software agents to “read” documents and deliver the relevant paragraph. Used as a collection, the scores from a collection of agents set the context for a user’s query.

Paragraph Level Concept Discovery – Pytheas provides the ability to categorize and display concept results at the paragraph-level. Users do not need to hunt through documents trying to find a concept that a search engine claims to be present. Our system will return the paragraph(s) that closely match a concept, sort and group the concepts by similarity to one another. Paragraphs can be evaluated and traced back to their source document for reporting and distribution.

Topic Mapper Entity and Sentiment

Figure 1. Topic Mapper Entity and Sentiment in SEC Filings

Ease of Integration – Pytheas application can be used with conventional desktop tools for ad hoc projects.  For workflow automation a Restful API provides developers an easy method to process documents and export results to SQL or other DBs for reporting and visualizations.

Optional Entity Extraction and Sentiment (Figure 1 above) – Complementing paragraph level concept detection is the ability to extract entities and/or score for sentiment so this information can be added to visualizations and follow on workflows.  Clients can use their own technology for this purpose or add custom analytics to further refine the insight for social network analysis, tagging existing file headers or streamlining the flow of information into the analyst.

Defense Utility

The immediate benefit to DoD is increased productivity, consistent analysis and more effective information management.  The long-term benefit is an ability to perform quicker, more informed decisions.

Operational users of this prototype include any person that has to search through data.  This includes anyone using SharePoint and other common organizational databases.  Analysts who must sift through massive amounts of data in order to discover relevant information will save countless hours through the employment of our prototype.   Through the employment of a similar use case at NASA, our customer was able to complete a typical six-week project in one-week!

Company and Relevant Use Case

Lead by ISC, personnel from ISC Consulting and ai-one inc. will execute the project.

ISC Consulting Group is a Service Disabled Veteran-Owned Small Business (SDVOSB). We are headquartered in Sierra Vista, Arizona, with operational offices at Ft. Huachuca, AZ; Orlando, FL; Ft. Gordon, GA; and Northern Virginia. ISC provides a full-spectrum of services, products & solutions supporting the DOD Intelligence Community and key commercial clients with advanced capabilities in Instructional Solutions, Cyber Security, Command and Control planning and operations, Intelligence operations, Information Technology, and Data Analytics through Artificial Intelligence products and services.

ai-one inc. is the developer of a proprietary core technology that emulates the complex pattern recognition functions of the human brain that can detect the key features and contextual meaning of text, time-series and visual data.  This technology will enable DIUx to score and analyze any piece of textual content and discover information by concept, bringing the dimension of AI understanding to knowledge management. This technology automatically generates a lightweight ontology that easily detects all relationships among data elements; solving the immediate problems facing the DIUx knowledge management based process and schedule.

Existing Customers

ISC has served several clients with Pytheas technology, including NASA Marshall Space Flight Center (MSFC).   Currently, Pytheas is being used by MSFC’s Advanced Concepts Office (ACO) under a Cooperative Agreement to assist in technology roadmap development and separately by the Office of Strategic Analysis and Communication (OSAC) to manage and report on their portfolio of project investments (similar to SBIR grants).   For example, the roadmap project is described below:

Overview of the NASA Advanced Concepts TAPP Pilot Project

The Advance Concepts Office (ACO) at MSFC, NASA is developing and refining methods and processes for performing Information Based Decisions for Strategic Technology Investments.  This system is currently referred to as TAPP, Technology Alignment & Prioritization Process.   This process supports the evaluation of the technologies for investment by NASA and MSFC to insure alignment with NASA mission plans, technology area priorities and strategic knowledge gaps.

TAPP creates an interactive system for exploring the almost mind boggling complexity of planning for multiple missions using over 400 technologies (many still in basic research) and hundreds of interrelated elements/sub-elements over 30-year planning horizons.

Pytheas provides NASA the capability to have data mining agents parse and score unstructured content against the nearly 400 technologies identified in the 15 Technology Roadmaps.  This ability to score proposals with agents allows ACO to perform statistical analysis within the Information Based Decision framework for Strategic Investments.

The immediate benefit to ACO is increased productivity and consistent analysis. The long-term benefit is an ability to perform quicker, more informed technology assessments, feasibility analysis, and concept studies that align with NASA evolving strategic goals and multiple mission objectives.


Given a six-month prototype build period, ISC/ai-one will demonstrate to DIUx that ISC/ai-one’s Pytheas AI application will enable the organization to save critical time and human capital in the implementation and operation of knowledge management systems.  Pytheas will empower the IC to rapidly and effectively sort through vast volumes of text data in order to gain knowledge and position decision makers with the right information to achieve stated organizational analytical research outcomes.

ai-one Powers Competitive Intelligence Analytics as a Service

Tuesday, June 7th, 2016

ai-one inc and KDD Analytics put their artificial intelligence and business intelligence expertise to work for competitive analysts.  After collaboration on projects from aerospace research to marketing surveys, the companies are pleased to announce a new service for C-Suite executives and analysts.

This blog was posted earlier on our Analyst Toolbox website.

Day in the Life of a Financial Competitive Analyst

“It’s 10:00 PM, the night before the quarterly board meeting, and we are still pulling together financial data on our company and competitors into presentation worthy graphics.

Procrastination?  No, the tools and processes just make it a recurring battle. One key section of our report is hampered by a lack of standardization in SEC filings.  Our auditors routinely deliver the internal financials at the last minute.  Reformatting the financials in a way consistent with comparatives, let alone making them visual, interactive and providing scenario analysis capability is a time consuming hassle.

We always run out of time to actually “analyze” the results…there has to be a better way”.

– Earl Harvey, Senior Financial Competitive Analyst

Sound familiar?  Earl’s problem led him to KDD Analytics and ai-one, and ultimately to a collaboration developing CIaaS (Competitive Intelligence as a Service).

The State of Financial Competitive Intelligence

Financial data on your competitors comes from SEC filings (10q/10k) via companies such as Dow Jones FactSet, Edgar Online, ThomsonOne and Bloomberg who provide aggregated financial data (typically) in Excel worksheets or through an API “firehose” that requires programming resources to navigate.

But then what?

The data still needs to be standardized across companies and reporting periods and presented in a visually digestible manner; often for people using different devices (desktop, tablet, mobile).  Moreover, this process needs to be repeatable every quarter with a consistent visual format and ideally delivered several days before the board meeting…a tall order for resource constrained competitive intelligence analysts.  As a result, “burning the midnight oil” sessions are the rule not the exception.

How Do You Avoid This Last Minute Stress?

Avoiding this fire drill (without hiring on more resources) is possible by using a service that has:

  • Standardized the data
  • Developed the visuals, charts and scenarios
  • Loaded and analyzed the latest data, and ideally,
  • Used A.I. to “read” and organize the relevant text from the docs.

That is, a source that will deliver a finished, interactive solution in a timely manner allowing you to focus on insight and analysis of the financial data, so you’re ready to be brilliant on demand (and getting more sleep).

Introducing the Financial Analyst Toolbox (FaTbx™), financial competitive intelligence as a service.

Currently in beta as a custom service, FaTbx™ is a set of more than 30 presentation ready Tableau dashboards, displaying interactive, comparative financial data for your company and other public companies critical to your business ecosystem.

Get the big picture fast: rankings and financial health, trends and topic heat maps (from our tech stocks demo).

FaTbx BIg Pic 3 slides

Then drill down:  Income statement waterfalls, balance sheet, cash flow details and topics (see how Apple, Google and Microsoft 2015 Q3 results compare below).

FaTbx Waterfall Pic 3 slides

Developed by experienced competition, artificial intelligence, analytics and visualization experts, FaTbx™ shows your company and competitors’ financials in a consistent, standardized and easily digestible manner.  Using the financials to spot issues and trends, the AI engine powers drill down to the disclosure text in the filings: no need to pull up a 10k and look for the narrative.

Filters adjust for financial category (e.g. income, cash flow, balance sheet, ratios), company, growth measure (e.g. quarter over quarter, year over year, CQGR), TTM and displayed time span.  Custom filters can be added based on your company’s need.

FaTbx™ is available as a cost effective annual subscription with quarterly or monthly updates.  The standard service includes comparatives for three publicly traded competitors, suppliers or customers.  It is delivered online via Tableau Server Edition or through a private web portal.  Subscription tiers depend on the level of support, customization, information sources and macroeconomic data desired.  Custom integration with internal KPIs can be provided.

FaTbx™ – Financial CI as a Service.   We streamline the grunt work of financial competitive analysis so you can focus on your company’s strategy and response. To learn more, contact me about the beta program or request a live demo.


Gartner Names ai-one Cool Vendor 2012 for Content Analytics

Tuesday, May 15th, 2012

Gartner Cool Vendor in Content Analytics, 2012


*GARTNER named ai-one in Cool Vendors in Content Analytics, 2012. The report reviews five vendors from around the world that offer potentially disruptive innovations for analyzing data to find actionable insights. Unlike traditional business intelligence solutions, these vendors provide technologies that can understand multiple types of information — including both structured and unstructured data.

The core value of ai-one’s technology is to make it easy for programmers to build intelligence into any application. Our APIs provide a way to mimic the way people detect patterns. “This is why we call it biologically inspired intelligence,” says founder and CEO

Answering the Most Important Questions, Mr. Walter Diggelmann, “because it works just like the human brain.”

 These companies have received tremendous publicity. Both are funded by traditional Silicon Valley venture capital firms. No surprise that they strive to provide comprehensive machine learning solutions rather than a tool for the general programming public.

“We do something completely different! We provide a general purpose tool that you can combine with other technologies to solve a specific problem. We do not try to do everything. Rather we just do one thing: We find the answer to the question you didn’t know to ask.” says Diggelmann

The advantage of ai-one’s approach to developers is that using the API is easy. The tool finds the inherent meaning of any data by detecting patterns. For example, feed it text and it will find every keyword and determine the association words that give each keyword context. Together, keywords and associations provide a complete and accurate summary of a document. The API gives precise results almost instantly and does not require any specialized training to use. Moreover, it is autonomic — as it works without any human intervention.

ai-one follows a technology licensing model — much like Qualcomm. The company makes money when licensees embed the API into commercial applications. ai-one works closely with its OEM partners to ensure that their products are successful.

ai-one’s technology enables programmers to build hybrid analytics solutions that integrate content from almost any digital source, in any language, regardless of its structure (or lack of structure). This capability has the potential to transform the way we think about business intelligence. “90% of the world’s data is unstructured,” says Diggelmann, “but 100% of the major business intelligence systems can’t read or understand it.  We provide a tool to bridge the gap.”

*Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings.  Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact.  Garner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.