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 […]
Streamlining the Production of Artificial Intelligence
People often think the algorithms used for Machine Learning (ML) are the most important factors for developing a successful ML system. However, shrewd Artificial Intelligence (AI) and Machine Learning systems in production (managing the data at all stages, with multiple models) have much more impact on the success of the model than the specific learning […]
Machine Learning and Artificial Intelligence Trends in 2019
2019 will be a critical year for Artificial Intelligence (AI) and Machine Learning (ML) technologies as real-world industry applications demonstrate their hidden benefits and value to the consumers. So far, scientists and researchers have made claims on behalf of AI-enabled technologies, but they have not really been tested in large-scale market applications. We will see […]
Machine Learning Transformed: Data Quality and Operational Necessities
Machine Learning elicits mixed reactions. On the one hand, some consider Machine Learning a company’s new super power that has “swept enterprise technology, using mass amounts of data and algorithms to make predictions.” At the same time Machine Learning has been considered an overhyped fad and a panacea, failing to deliver. While both can be […]
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 […]
The Data Hub Brings Opportunities for Data Orchestration
The massive proliferation of data volumes has created an important opportunity for business insight and data-informed decision-making, but many companies struggle with getting the value out of all that data. “While data is the new gold, and we are currently experiencing a data-driven ‘gold rush,’ enterprises are still struggling to manage data from multiple sources,” […]
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 […]