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Blockchain Trends in 2019

Prepare for Blockchain to transform business and technology throughout 2019. Blockchain turns ten years old on January 3, 2019 and, as a maturing technology, will gather momentum throughout this next year. By 2020, 56 percent of large enterprises plan to adopt Blockchain-enabled technology — up from one quarter now. According to Gartner’s Blockchain Spectrum, Blockchain-enabling […]

Knowledge Graphs, Ontologies, and AI

This past fall, all aspects of the computable knowledge structure KBpedia – its upper ontology (KKO), full knowledge graph, mappings to major leading knowledge bases, and 70 logical concept groupings called typologies – became open source. Making big strides in increasing definitions and mappings has been a main focus of KBpedia v. 1.60. As it always […]

Data Scientist vs. Data Engineer

The Background of Data Science Roles It was thought that the year 2018 would create a huge demand-supply gap in the Data Science market as supply would fail to keep pace with the rising demand for expert Data Scientists. However, the recent buzz from Gartner, which says more than 40 percent of Data Science tasks […]

Blockchain Use Cases

Blockchain, which is akin to a distributed and decentralized accounts ledger, can record and verify high volumes of digital transactions, irrespective of location. So, Blockchain has the capacity to contribute to many industry sectors, besides finance. As a secure technology platform, Blockchain’s main benefits are accuracy, protection against fraud, and easy sharing of information. The […]

2018 DATAVERSITY Top 20

As we wrap up 2018 and prepare ourselves for 2019, it’s time to take a moment to review and reflect. And while in review, we take the opportunity to look at the content published, produced, and consumed over the last year. In looking at the top 20 published articles and blogs of the year, Machine […]

Data Science Trends in 2019

When it comes to major Data Science trends to watch in 2019, the co-founder and CEO of Kaggle, Anthony Goldbloom, has predicted that very soon Data Centers will be replaced by departmental or business-specific Data Science teams. As discussed in Data Science Trends in 2018, last year’s major trends continued from 2017 as the growth […]

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