There have been some exciting developments of late in the Semantic Web and Technology space. Semantic Technology trends in 2018 will continue to advance many of the trends discussed in 2017 and build upon a number of new changes just entering the marketplace. This fall, in fact, the Elsevier 2017 Semantic Web challenge focused on […]
The Business Analyst in the World of Artificial Intelligence and Machine Learning
In the on-going debate over whether Artificial Intelligence, and its allied technology Machine Learning, can completely replace the human brain, many scientists are still not convinced that machines can be trained to both “think” and “feel” like humans. AI research states that when smart algorithms are exposed to patterns that are joyful or positive, they […]
A Data Management Case to Embrace Artificial Intelligence
One of the subjects of debate surrounding Artificial Intelligence (AI) is whether, or how much, its progress threatens taking humans out of the equation in industries of every type. At the Aspen Ideas Festival this summer, Coursera co-founder Andrew Ng was one of a panel commenting on the trend, noting that Artificial Intelligence is on […]
Business Intelligence and Analytics Trends in 2018
Thanks to the rapid growth of Machine Learning (ML) and Deep Learning (DL) in the recent years, the Business Intelligence and Analytics trends in 2018 are filled with considerable change. The deep penetration of the Internet of Things (IoT) and Big Data in the global business environment has naturally sparked the need for smart Business […]
Identify Data Patterns with Natural Language Processing and Machine Learning
Discovering, extracting, and analyzing data patterns in textual data from the myriad data sources streaming into modern data-driven organizations is no easy task. Organizations must be equipped with state-of-the art techniques such as Natural Language Processing (NLP) within well-developed Artificial Intelligence (AI) and Machine Learning (ML) platforms, to reliably understand the pulse of their consumers […]
Big Data Trends for 2018
The expansion of the Internet of Things (IoT) has added innumerable new sources of Big Data into the Data Management landscape and will be one of the major Big Data Trends in 2018 and beyond. Laptops, smart phones, sensors on machines, all generate huge amounts of data for the IoT. Organizations that are flexible enough […]
Predictive Analytics: Giving Smart Manufacturers an Edge
“The quality of service a company can deliver after the initial sale is important to the overall long-term financial health of the company, and Predictive Analytics can fundamentally improve the way a company can deliver service,” said Gary Brooks, Chief Marketing Officer at Syncron in a recent DATAVERSITY® interview. Syncron specializes in using Predictive Analytics […]
Data Science Trends in 2018
The Data Science Trends for 2018 are largely a continuation of some of the biggest trends of 2017 including Big Data, Artificial Intelligence (AI), Machine Learning (ML), along with some newer technologies like Blockchain, Edge Computing, Serverless Computing, Digital Twins, and others that employ various practices and techniques within the Data Science industry. The Dataconomy […]
Artificial Intelligence vs. Machine Learning
Currently, Artificial Intelligence (AI) and Machine Learning are being used, not only as personal assistants for internet activities, but also to answer phones, drive vehicles, provide insights through Predictive and Prescriptive Analytics, and so much more. Artificial Intelligence can be broken down into two categories: Strong (also known as General or Broad) AI and Weak […]
Diagnosing the Internet of Things: Predictive Maintenance Through Analytics
The ancient practice of augury involves the reading of omens, often through the flight patterns of birds. The birds, in this case, are in the machine, and by listening to the sounds a machine makes, Saar Yoskovitz can predict when it will break down. There are no birds involved, but the process can tell the […]