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Data Quality’s Importance to Blockchain

What’s the connection between Data Quality and Blockchain? Dan Myers, principal information quality educator at DQMatters and the publisher of The Conformed Dimensions of Data Quality — which seeks to align the Data Management community by using common definitions — addressed the issue during his Enterprise Data World Conference presentation titled “Improved Data Quality Implications […]

Fundamentals of Machine Learning Enabled Analytics

The famous theoretical physicist Stephen Hawking said, “It’s tempting to dismiss the notion of highly intelligent machines as mere science fiction.” Artificial intelligence (AI), the game-changer technology of the global business world, comprises three distinct sub-disciplines: machine learning (ML), natural language processing (NLP), and cognitive computing. Automated solutions in business analytics use all these sub-technologies, […]

Advances in Data Architecture

The continuous growth of data has led to large corporations investing heavily in technologies around large data volumes, allowing them to gain useful business intelligence that was unavailable to their smaller competitors. The evolution of public clouds has made big data technologies accessible to small businesses and startups. By using new advances in Data Architecture, […]

Knowledge Graphs: Context, Compliance, and Connections

“Graph is leaving a larger and larger footprint. And that is good,” said Thomas Frisendal in Knowledge Graphs and Data Modeling. Gartner named knowledge graphs as part of an emerging trend toward digital ecosystems, showing relationships among enterprises, people, and things, and enabling seamless, dynamic connections across geographies and industries. Elisa Kendall and Deborah McGuinness, […]

The Fundamentals of Deep Reinforcement Learning

Reinforcement Learning (RL), a “niche” Machine Learning technique, has surfaced in the last five years. In context-based decision making, Reinforcement Learning helps the machine take action-provoking decision making through a trial-and-error approach to achieve the optimal algorithmic model for a situation. Furthermore, the machine is trained through a reward/penalty-based feedback mechanism, the goal of which […]

The Future of Data Architecture

Anthony J. Algmin believes Data Architecture is moving from a time of chaos and tangles into something more clean and organized. Speaking at the DATAVERSITY® Data Architecture Online Conference, Algmin looked at past predictions, current hot topics, and predictions for the future. He is the Founder and CEO of Algmin Data Leadership. A Quick Look […]

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