Risks associated with the use of tif and pdf images _ neuralvision software _ high performance counsel


TIF and PDF images have been used extensively for decades as standards for document file types and are found in functional activities including contracts and agreements, document control and land records. Verizon troubleshooting number Many of an organization’s most important documents are stored as TIF and PDF images, often with poor metadata defining what type of document the file is. Baby pregnancy calculator As a result, risks are present related to managing security and governance of these documents because current tools rely on extracting and analyzing text from these documents, which is a lengthy and expensive process to obtain the required accuracy levels.

NeuralVision Technologies has developed novel methods to leverage computer vision and neural network technology to execute document type recognition and classification, effectively performing “facial recognition for documents”. Usd to ntd This method does not rely on text, requires no training, and works equally well on both small and large document sets.

Exchange rate uk to us As a completely automated process with inherently high accuracy levels, it presents a quantum shift of performance, cost and speed compared to current industry methods. Gbp to usd converter Modes of use include a bottoms-up evaluation of all target documents, or a bloodhound “more like this” capability which is ideal to support security and data loss objectives.

This white paper provides a detailed review of TIF and PDF characteristics, uses and limitations in the context of the major functional risks being managed by all companies and organizations. The binary system It then explains the visual NeuralVision solution, modes of use and deployment scenarios. Usa today coaches poll The following table summarizes the risk elements commonly incurred by most organizations and the solution which NeuralVision Technologies brings for mitigation.

Document images are files that have a .tif or .pdf file extension, are prolific in the business world and emanate from a variety of workflows. Pound to euro forecast 2016 They constitute the vast majority of documents that have undergone a print and scan process, and are found across every industry. Pound vs dollar exchange rate history TIF images are, by definition, always an image, which means they have no embedded text file, while PDF files can be either an image (again, with no embedded text file) or a ‘searchable’ document, meaning they either originated from a native Microsoft Office file or were generated from a scanning process. Euro price today in pakistan PDFs that originate from a native Office file have an embedded text file inherently, while PDFs that emanate from a scanning process may or may not have an embedded text file, depending on the options chosen during the scanning process. Inr to usd exchange rate today It is usually difficult to discern whether or not a PDF is searchable without using special software tools.

TIF images can be processed to create a PDF with an embedded text file, with a technology known as optical character recognition (“OCR”). Binary to octal OCR technology has been around for several decades and creating perfect text files remains an elusive goal. Usd to inr conversion rate today Because OCR produces random data loss of unknown amounts, relying on OCR’d text is a slippery slope. Fx rate gbp usd Even though the characters and words are visible when viewing the image, searching for a word from an OCR’d document will result in random misses because the text has been corrupted or dropped during the OCR process and is therefore not present to search against. Decoding activities Needless to say, most users are unaware of these intricacies and therefore assume that all files are searchable and the lack of a search result means the target results don’t exist.

Note the most important words that would identify this document as a purchase order are missing, as they have been lost during the text extraction process. Famous quotes about family Therefore, using keyword and phrase searching, or any text analytics method will fail to identify this document. Binary digit This document happens to be a critical record, as it contains the materials specifications used to build a pipeline asset transporting hydrocarbons.

Consider the example of generating a contract or agreement; workers typically start with a MSWord template and edit the document to their needs. Stock futures cnn Once that version is ready and approved for use, the authorized person will print, sign, scan and email to the counterparty for execution. Usd to inr graph The counterparty will open the PDF file, print it, sign it, then scan again and email back to the sender. Gold price forecast today Each time the document is scanned additional text loss is introduced if and when the document is OCR’d in the future.

Since contract and agreement generation and execution occurs in many departments and by multiple workers, keeping track of all those files is challenging. Cnn premarket futures stocks markets Attempts to gain control of this activity across the span of the organization is met with resistance, especially where rogue employees buck the system and wish to keep their activities under local control and off the corporate radar. Aed to usd Since many contracts and agreements span years in length and have auto- renewal and evergreen provisions, in-force documents can go back many years.

At the same time, corporate legal and procurement are attempting to coral all of these agreements and put into a common system. Conversion rate usd to inr Extensive data mining is often performed on these documents to build a database which summarizes all of the key terms and provisions, in order to optimize spending, facilitate negotiations and manage risk. Used book stores denver Key events including litigation and M&A necessitate a thorough understanding of the corporation’s holistic contractual responsibilities. Binary to decimal Incomplete contracts repositories become an Achilles heel.

TIF and PDF images make the contracts management process harder, starting with identifying where all of the contracts and agreements are located across the organization. Pound to usd conversion rate Document Control

Document control is a common function in many industries including construction, manufacturing, energy and pharma. Usd trend It entails the fulfillment of contractual obligations by a third party, usually a construction or equipment vendor performing work to engineer and build facilities, equipment and hardware for their client. Usd to nzd exchange rate Contracts stipulate what is to be delivered, the specifications, drawings, and other design and construction information. Aed to usd converter Vendors typically complete work in phases and turn over completed work product commensurate with those obligations. Pound exchange rate today The turnover includes extensive documentation, typically in the form of PDF documents. Dollar to yen exchange rate forecast Often the documentation is compiled into large, multi-page and multi-document PDFs which are hundreds of pages in length, with a sparse or non-existent index or inventory of what’s included. Us to cad calculator Recipients of this documentation are faced with parsing these files to find and isolate key documents such as materials specifications, performance data, user manuals and design drawings. Famous quotes about life and love Client recipients typically don’t require better organization as part of the contract and therefore spend inordinate amounts of time and effort figuring out what they received and determining whether or not it met the requirements of the contract. 1111 number meaning Inevitably there is litigation and due diligence preparation for the complaint is exhaustive, requiring hundreds or thousands of man hours to prepare for.

TIF and PDF images inhibit the document control process by making critical records harder to find using conventional text analysis methods. Funny quotes about marriage Mortgage Backed Securities

Mortgage backed securities (“MBS”) involve the packaging of individual loans in tranches of assets which are then securitized and sold to investors. Euro forecast 2016 Each loan has a required number of documents, and includes documents recorded in the county courthouse as well as forms such as HUD-1 settlement statements. Gbp vs usd bloomberg All of these documents are TIF and PDF files and among the worst quality you will find, due to the variant methods used to scan the original paper records by multiple parties during the transaction. Binary to gray code The lack of controls around document generation, document quality and indexing makes auditing and forensic analysis very challenging, requiring armies of people to review, benchmark, and index these records. Current stock market futures Triangulation of recorded instruments to loan performance and underwriting databases and documentation is a nightmare. Us market futures live Risks Associated with TIF and PDF Images Security Risk

All companies possess what is considered “Restricted Information” from a security standpoint; the classical definition of such being that leakage of which will cause material harm to the organization. Adding binary numbers Restriction information commonly includes such topics as intellectual property, design information, architecture, strategic and proprietary data, trade secrets, source code, financials, patents and contracts. 1 usd to php In addition, companies must worry about protecting documents which contain personally identifiable information (“PII”) and protected health information (“PHI”) which are obligations under State and Federal laws and regulations. Yahoo futures index Much of the data listed above is resident in TIF and PDF images, often with poor or missing descriptions and indices which make them obvious. Convert usd to aud calculator Rogue employee behavior would include taking a Restricted Information-containing document and creating a TIF image (if not already) and emailing to their personal email. Call option and put option If the company doesn’t know where these documents are and hasn’t tagged them for what they are, there is no way to prevent this behavior. Chf usd exchange rate Similarly, IT departments can’t firewall off these documents to the general employee population if they have no visibility into their existence. Stock connect hong kong Cyber threat success is a heightened risk as well, as hackers gain access to poorly controlled Restricted Information.

As one might imagine, the ability of an organization to find and protect Restricted Information is flawed as a function of this TIF and PDF image problem, exposing them to significant risk on several fronts. Nzd usd Governance Risk

In addition to the security issues, companies face information governance challenges around managing retention of records in accordance with corporate polices, whereby policies dictate which types of records must be retained and for how long, and actively managing destruction of records which have met their retention requirements. 1000 usd in eur Over-retention of records incurs unnecessary operational costs, but more importantly exposes the company to inflated discovery and production of data costs in the event of litigation and investigations. Commodity futures market definition If records were eligible for destruction but retained anyway, they are in-scope for discovery. Us to china exchange rate Ample case studies have documented the excess costs incurred due to this phenomenon.

People have generally become spoiled by search engines, based on our infatuation with smart phones and the web in general, and have come to rely on the instant gratification that is delivered by virtue of the vastness of the internet. Eur usd graph The expectation of getting high quality results fast and deep allows us to speed along at a quick pace and never wonder or worry about what’s being left behind.

Search engines work, first and foremost, by having access to text; without text there are no results. Funny quotes and sayings about life Take the Google Index, for example, which is a giant database housed by Google containing every web page, blog, and index-able article since the beginning of the web. Usd gbp exchange rate history On top of the text are more tools such as those which guess what you’re looking for and suggest words and topics based on natural language and a compiled history of what has been searched for in the past. Usd in aud Since many people are searching at once, it’s feasible to compile the statistics of what searches are popular (“trending searches”), and what is the sentiment of the blogs and tweets around those searches.

In the context of this whitepaper, the reader should take away the fact that searches are only as good as the availability of the underlying text. Investing usd try Special tools can be used to allow for a certain amount of text omission or corruption; for instance, having OCR’d text where the letter ‘t’ was replaced with the number ‘7’ and the letter ‘o’ with the number ‘0’, resulting in “c0rrup7i0n”. Euro to usd calculator Very few people will hold their mouth right to figure this out and fewer still have access to the custom advanced search tools needed to screen out these errors. Rm to usd chart Text Clustering

Text clustering technology is interesting because it avoids the large set of tasks associated with building and testing training models needed to classify documents. Flower tattoos Text clustering has two basic types; 1- Literal Sameness – where its looking for versions of the same document, with identical word patterns and in the same sequence, and 2- Semantic Similarity – where synonyms are used to interpret meaning even if the same words aren’t used. Put option and call option For example, an ‘automobile architect’ and ‘car designer’ have the same meaning. Words in binary Text clustering typically requires significant volumes of historical content to train on to prime the pump, which means it doesn’t work well on smaller batches of data. Us dollar to pound exchange rate history Machine Learning

Machine learning is a sub-category of artificial intelligence and has many different types and applications, ranging from self-driving cars to benchmarking network traffic patterns, to classifying text. Market futures bloomberg Like search engines and clustering, it is dependent on good quality text to perform its job.

In the context of document recognition and classification, it usually follows clustering whereby clustering is used to identify training documents for the machine learning software. Futures market definition For each type of document that is desired to be classified using machine learning, 50-100 examples are needed to achieve critical mass training. Aud usd historical data In the case where there are dozens, hundreds or thousands of document types, the training function becomes a massive activity.

Again, TIF and PDF images constitute some of the most important, toxic and restricted use documents that an organization possesses and which they seek to manage the most closely for all of the reasons discussed here. Us dollar to uk pound conversion Typical Workflow and Costs to Achieve High Accuracy Levels

For a typical application using text-based clustering followed by machine learning, there are a number of steps in the workflow. Binary puzzles The following table identifies all of the resource requirements, end-to-end, that are needed including the cost of software, support from IT, subject matter experts (“SME”) and document review QC personnel.