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Innovations in Taxonomy Building Still Combine Human Expertise with Automation

Taxonomy Boot Camp (TBC) took place in Washington, DC, at the same location and during the same week in early November as four other conferences—KM World, Text Analytics Forum, Enterprise Search and Discovery, and Office 365 Symposium. According to Joanne Claussen, the director of the Content Enrichment program for Risk at Thomson Reuters, the overarching […]

Enterprises are finding new ways to incorporate knowledge graphs in operations

Enterprises are finding new ways to incorporate knowledge graphs into their operations. Kathleen Walch, principal analyst, managing partner and founder of Cognilytica, analyzes the various use cases for knowledge graphs in enterprises. When used correctly, knowledge graphs can make the natural language understanding part of natural language processing smarter. With the capability to encode relationships […]

How Data Scientists Find Relevant Data with a Data Knowledge Graph

There is a dichotomy between how data scientists would like to spend their time and how actually they spend their time. This is prevalent because data science teams are spending a majority of their time on foundational tasks, such as preparing data for analysis. According to Connor Vilenio, a senior analyst with Enterprise Knowledge, this […]

Two Interesting Articles on Artificial Intelligence

Recently, two experts offered their views on how to leverage knowledge graphs to maximize benefits from artificial intelligence (AI). The expert views are summarized below. Jans Aasman, an expert in cognitive science and the CEO of Franz.com, in his guest post, describes how knowledge graphs are the path to true AI. This is followed by […]

Maximize the ROI of Content with Minimum Viable Metadata

If intelligence is “a force to maximize future freedom of action”, then anything with more intelligence is more likely to succeed. Hence, if a piece of content is embedded with intelligence via metadata at the beginning of its lifecycle, it is more likely to generate a higher return on investment (ROI). Scott Stickland, a Senior […]

Research in Municipal Financial Reporting Taxonomy Informs Best Practices

The State and Local Government Disclosure Modernization Working Group, formed by XBRL US, is the national consortium for business-reporting standard. The industry-working group focuses on using standards to improve the efficiency of data collection and analysis of the financial performance of government entities. The working group is basing its work on research by Neal Snow, […]

Start Paying Attention to Your Metadata

Everyone knows metadata is important. However, how many know why – or even what – it is? As it turns out, metadata is important enough that understanding its role in an enterprise – and getting control of it – can improve efficiency, save money, and offer a bigger picture of an enterprise’s needs and operations. […]

Takeaways from the Text Analytics Forum

The biggest takeaway from the Text Analytics Forum was the lack of a best answer to using text analytics in enterprises, notes Ahren Lehnert, Senior Manager, Text Analytics Solutions at Synaptica. In addition, proposals on how to get text analytics adopted in an enterprise, where this function should live, and who should perform it, were […]

Leveraging AI Technology to Build New Taxonomies for Risk and Process Libraries

Artificial Intelligence (AI) technologies are increasingly being used outside the customer experience focused areas of enterprises. Jun Wang, a Management Consultant at Capgemini, describes one such deployment, where AI technology was employed to rationalize and standardize a financial institution’s risk and process library. Historically, every region of the financial institution had their version of risk […]

Fluid Annotation: Machine Learning–Powered Interface for Faster Image Annotation

Google has taken a first exploratory step towards making image annotation faster and easier. It has developed a new a machine learning–powered interface, Fluid Annotation, for annotating the class label, the outline of every object and the background region in an image. The solution is said to accelerate the creation of labeled datasets by a […]