Articles
We have all the components. So why aren’t we in a good place with true enterprise content management?
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The more we advance in machine learning (ML) and artificial intelligence (AI), the more we realize how exquisitely complex human intelligence is.
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Semantic data enrichment and ontology mapping are two of your strongest tools to aid data-driven customer experience delivery.
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The combination of natural language processing with semantic search will open up new potentials in enterprise search
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Search doesn't change overnight.
The core elements of search technology were developed between 1955 and 1985, but some have only seen the light of day in the last few years. It takes a long time for research to translate to practice.
For example, the BM25 ranking model that built on
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When Dieter Reichert started as a typesetter 40 years ago, he was disappointed by what computers could accomplish.
"In my mind, computers should have been able to do what human beings could do," Reichert told CMSWire.
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Every company that markets anything can benefit from digital asset management (DAM). That's a broad statement, but a true one.
From a simple storage solution to a complex global platform, marketers at companies of all sizes can enhance their marketing strategy with some form of asset control.
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The Data Knows the Story
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We've heard a fair amount of talk about innovation in DAM lately, but one area hasn't received much attention: the need for systems that track the complex relationships between assets and other entities across an enterprise.
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Computers don’t understand language the same way humans do. Whether you write, tweet or post a statement like “I’m afraid I’m going to blow it,” computers often take it literally.
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The pace of digital information has resulted in the world's aggregate data doubling in size in shorter intervals than ever before. According to Gartner, about 80 percent of data held by an organization is unstructured data, made up of information from customer calls, emails and social media feeds.
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Over the past few years, major enterprises have shown interest in combining semantic web technology with big data for added value. Let's take a look at what enterprises are seeking and why they think semantic web can make big data smarter.
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Just a few weeks ago, Google rolled out its latest Panda search-algorithm update -- otherwise known as the search update that could destroy your business. Ever since, experts in the Search Engine Optimization (SEO) world have been struggling to understand the potential impact.
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You don’t have to be an expert to understand that what people feel is as important as what they think — and more important than what they say they think.
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