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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 […]

Deep Learning and Analytics: What is the Intersection?

Emergent artificial intelligence (AI) technologies, especially the automated algorithms populating analytics platforms, are impacting and reshaping the world of business analytics. The underlying connections between traditional analytics processes and the disruptive technologies will make you cheer if you happen to be a data scientist or a business analyst — because your redefined role in the […]

Working Towards Explainable AI

“The hardest thing to understand in the world is the income tax.” This quote comes from the man who came up with the theory of relativity – not exactly the easiest concept to understand. That said, had he lived a bit longer, Albert Einstein might have said “AI” instead of “income tax.” Einstein died in […]

Data Intelligence on the Edge

The term “edge intelligence,” also referred to as “intelligence on the edge,” describes a new phase in edge computing. Organizations are using edge intelligence to develop smarter factory floors, retail experiences, workspaces, buildings, and cities. The edge has become “intelligent” by way of analytics that were formerly limited to the cloud or in-house data centers. […]

Utilizing Business Intelligence with AI

Business intelligence (BI) is, in essence, new information that is not necessarily common knowledge and is sought to gain a competitive advantage over the competition. Business intelligence comes from a variety of sources, ranging from spies working for the competition to data mining. Contrary to the theme of several current articles, business intelligence is not […]

Advances in Natural Language Processing

Natural Language Processing (NLP) unlocks the ability of machines to read text, hear speech, and interpret words, and NLP has advanced greatly in the last five years. NLP improves data analytics, detects malware, and fights fake news. For example, using NLP the Citation-Informed Estimated Truth (CIET) software program identifies authentic news with a 78 percent […]

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