Analytics and Metadata

A data-driven company requires a clear data integration strategy and a solid data culture. Tech Republic brought this interesting information to our attention in their article, “How to create a data integration strategy for your organization.” Big data and analytics have climbed to the top of the corporate agenda. Together, they promise to transform the…

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Internet of Things Today

The Internet of Things (IoT) has become a common term as a topic of conversation in industry articles, online tech groups, and your backyard BBQ. The IoT has impacted how we work, but also how we live. Intermingled in the complexities around IoT are some useful and important conversations – given you understand what they are…

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Artificial Intelligence and Data Analytics

Artificial intelligence (AI) analytics refers to a subset of business intelligence (BI) in which software exhibits behaviors typically attributed to humans, such as learning and reasoning, in the process of data analysis. This interesting information came to us from inside BIG DATA in their article, “How AI-Unified Data Analytics Is Good for Your Business.” AI and…

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Learning from the Data

When it comes to machine learning algorithms, your predictions are only as good as your data. And if you aren’t using the right data, you aren’t setting your models up for success. This interesting topic came to us from KD Nuggets in their article, “The Difference Between Training and Testing Data in Machine Learning.” When…

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Understanding the Difference

Data science, data analytics, and machine learning are terms that are often used interchangeably when talking about making sense of big data. But this is wrong. Data science is a field that studies data and how to extract meaning from it, whereas machine learning is a field devoted to understanding and building methods that utilize data to improve…

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Driving Success with Data

A data-driven approach enables companies to examine and organize their data with the goal of better serving their customers and consumers. By using data to drive its actions, an organization can contextualize and/or personalize its messaging to its prospects and customers for a more customer-centric approach. Tech Republic brought this interesting information to us in their article,…

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Hierarchy of Data

The concept of classified and declassified data when it pertains to security is understandable, but there is a broader type of data classification for businesses which factors into the success of a data analytics pipeline. Tech Target brought this interesting information to our attention in their article, “Data analytics pipeline best practices: Data classification.” There…

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Academic Libraries & Personal Collections

A public library is for the whole community. Where assets of a public library are available for everyone and made available by governments, a private library is owned by a person or institution to serve that particular person or institution. This interesting topic came to us from The Scholarly Kitchen in their article, “Trust and…

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Understanding Data Quality

Data quality has never been more important. It is at the heart of the success of enterprise artificial intelligence (AI) and other emerging technologies. It remains the main source of challenges for companies that want to apply machine learning in their applications and operations. Venture Beat brought this interesting information to our attention in their article, “Why data…

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Living with AI

Artificial intelligence (AI) is no longer a figment of the imaginations of science fiction authors. This technology is now paving its way to establishing itself subtly or not so subtly in our everyday lives. Venture Beat brought this interesting information to our attention in their article, “How to use data analytics to improve quality of life.”…

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