Learning About Machine Learning

Machine learning has become an important component of many applications we use today, and adding machine learning capabilities to applications is becoming increasingly easy. Interestingly, many machine learning libraries and online services don’t even require a thorough knowledge of machine learning. This interesting topic came to us from Pete Warden’s Blog in his post, “How…

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Ensuring Data Quality in Healthcare

Modern cloud data processing and management systems are rapidly being adopted and scaled across the healthcare industry. This has benefits. However, it has also introduces a number of significant administrative and operational issues in many organizations, due to the inability to source and manage consistent, quality data. Tech Republic brought this interesting information to our…

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Wrangling Data

An analytics strategy is part of a comprehensive strategic vision to specify how data is collected and used to inform business decisions. It is meant to provide clarity on key reporting metrics by specifying the sources and types of data that are collected and used for reporting. Inside Big Data brought this topic to us in…

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Insights and Intelligence

Business intelligence describes the strategies, technologies and tools that companies use to obtain business information. It also describes the information itself. Then there is data analytics — the technical process through which we obtain actionable insights from raw data. Not the same, but not isolated from one another. This interesting information came to us from…

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Data Professionals in the Job Market

Employment and the lack of available employees is a common topic these days. The national unemployment rate in the United States is currently at 3.5%. For the tech market, it is at 1.7%. This interesting topic came to us from CNBC in their article, “Why data analytics is the hottest skill recruiters are looking for.“…

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Ensuring the Integrity of Data

Alternative data has quickly become a crowded tech niche for financial services firms and large institutional investors seeking nontraditional information sources to gain a competitive edge. But what exactly is alternative data? Tech Target brought us this interesting information in their article, “Alternative data, multimodal AI tech produce new insights.” Alternative data is information gathered…

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Transformational

We talk a lot of about data – analyzing it, storing it and managing it. What about transforming it? Data transformation is the process of converting data from one format to another. This interesting topic came to us from Spice Works in their article, “What Is Data Transformation? Types, Tools, and Importance.” Data transformation involves…

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Making AI Approachable and Understandable

It has never been more important for technology to be accessible and approachable. When it comes to artificial intelligence (AI), explainability is key. MIT Management brought this interesting information to our attention in their article, “Why companies need artificial intelligence explainability.” Creating successful AI programs doesn’t always end with building the right AI system. These…

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Measuring Quality

Data quality is the measure of how well suited a data set is to serve its specific purpose. Measures of data quality are based on data quality characteristics such as accuracy, completeness, consistency, validity, uniqueness and timeliness. Data quality is essential to operate a successful data pipeline and enable data-driven decision-making. This interesting information came…

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