White Paper: ABBYY
Squaring the Classification Circle with ABBYY Smart Classifier
Classification of information to organize large data sets is a critical tool in the drive to business value. So why is it that CIO’s desperately want to classify their information, but are not implementing and taking advantage of it?
Read this informative whitepaper on ''Classification of the Information'' to learn how information can be classified in a number of ways to provide a better understanding of data.
It highlights various topics related to ''Classification of Information'':
A single integrated environment to manage all aspects of information classification
Easy-to-use Model Editor to guide users through classifying information workflow
Automatic Optical Character Recognition (OCR) for all document images for accurate classification of information
High-performance text-based classification and Enhanced semantic-based classification
Accurate classification: Criteria to decide what and how text-based information should be migrated or discarded.
Download this whitepaper to understand more about Classifying information and testing the accuracy of Classification Models .
Knowledge is among the most valuable strategic assets in the life science organizations today. Exploiting the research information to effectively turn it into knowledge is crucial in the competitive environment of life sciences industry. Electronic Lab Notebooks (ELNs) offer an effective knowledge capture and data management solution for today’s information-rich laboratories. But how maximum value can be extracted from a life sciences organization’s primary asset – knowledge? This whitepaper provides the organizations with secure knowledge management that can be accessed and shared with ease. It includes: Capture, protect and exploit corporate knowledge Increasing efficiency and productivity with ELNs Return on Investment (ROI) of an ELN It also fulfils each researcher’s requirements of an Electronic Lab Notebooks in one application, minimizing IT support and protecting corporate knowledge in a fully compliant environment.
Data preparation is quickly gaining stature as one of the most important aspects of today's analytical environments. 80% of the time spent analyzing data is devoted to data preparation. But do you know what it takes to properly prepare your data? This whitepaper covers the 6 crucial steps of preparing data for analysis, and highlights the important things to look out for in every one of them. Key takeaways from this whitepaper: How effective data preparation can have a substantial positive impact on these users The way data is prepared will often determine which types of analyses can be carried out How best-in- class companies have a three-pronged approach to enhanced data preparation Will data be consistent and accurate for the people receiving reports or viewing dashboards? These efforts not only lead to more effective data preparation, but ultimately more enhanced business performance as well.
What is Technology ?
Technology is the use of scientific knowledge for creating tools, processing actions and extracting of materials whether in industry or in our everyday lives. We apply technology in nearly all things that we do in our lives, we use technology at work, in communication, transportation, making food, extracting and securing information, running an organization and many more tasks, pretty much everywhere. Types of technology include information technology, banking technology, medical technology,
What is Software Testing ?
Software testing is a process used to determine the exactness and quality of developed computer software. It includes a set of activities conducted with the intent of finding bugs in software. In a nutshell it is a process to check whether the absolute results match the expected results and to make sure that the software system is error free.
What is Application Programming Interface ?
Application Programming Interface (API), Application Programming Interface (API) have existed quite long time ago, since the invention of first computer programs. The first API was developed and released by Salesforce.com in the year 2000, reports developer.ibm.com. In the same year, Ebay released its first web-based API, followed by Amazon starting their new Amazon Web Services (AWS). This gave rise to a new API age, and reached a matured point of hosting external APIs letting the cloud service