Data Mining

Data Mining | News, how-tos, features, reviews, and videos

Artificial intelligence and digital identity
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Insights driving action: the quiet revolution

How insight-driven IT automation will become a competitive edge

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In an age of fake news, is there really such a thing as fake data?

The pitfalls and benefits of using synthetic data to train AI algorithms

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The hidden hand of data bias

Biased data and decisions represent significant risks to your organization both monetarily and ethically and ultimately may impact your ability to achieve revenue goals and maintain brand reputation

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3 tips for a successful data strategy

Most modern businesses will survive only if they use data to acquire and retain customers, and if they use data to automate their supply chain or protect their valuable assets

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Navigating time in knowledge graphs

The temporal benefits of cognitive knowledge graphs can affect almost any business problem, including basic issues of data management such as data quality, data cleansing, and integration

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The wonders of AI—or the shortcomings of search?

Thus far, the case for AI seems to mainly center on how it is taking search to the next level

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Harmonizing big data with an enterprise knowledge graph

In addition to streamlining how users retrieve diverse data via automation capabilities, a knowledge graph standardizes those data according to relevant business terms and models

Iteration is the best way to find the insight in your data

Iteration is key to success. There is simply no way you can open a dataset and know, ahead of that exploration, how best to display it

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What is data mining? How analytics uncovers insights

Data mining is the automated process of sorting through huge data sets to identify trends and patterns and establish relationships

What’s in a sentence?

Getting computers to understand language is tough. Not only do they not have the context that we do, but we ourselves struggle to understand just how much context goes into creating a simple sentence – let alone a whole conversation....

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You can't build enterprise AI if you suck at data & analytics

Executives are anxious to jump on the AI bandwagon, but many organizations lack the requisite data & analytics infrastructure or executive culture to build production machine learning systems.

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