Machine Learning (ML) has revolutionized the world of computers by allowing them to learn as they progress forward with large datasets, thus mitigating many previous programming pitfalls and impasses. Machine Learning builds algorithms, which when exposed to high volumes of data, can self-teach and evolve. When this unique technology powers Artificial Intelligence (AI) applications, the […]
2016 DATAVERSITY Top 20
It’s that time of year again to announce the Top 20 publications by DATAVERSITY in 2016. We are excited to wrap up another great year of education. We published over 100 articles, over 150 blogs, 89 webinars, two online conferences, and five face-to-face conferences. We also launched our new DATAVERSITY Training Center this year where […]
Cloud Computing: Latest Trends, Issues, and Innovations
Cloud Computing is an essential part of many enterprises’ Data Architecture; and, not just in new enterprises, but throughout multiple industries and in companies of all sizes. Gatepoint Research has done a survey showing why. IT pros and business executives both like the advantages of Cloud storage. Access to data, after a disaster, came in […]
2017 Trends for Semantic Web and Semantic Technologies
Are you hearing the term “Semantic Web” as often as you may have in the past? There’s no denying the importance of the technologies, standards, concepts, and collaborations that define the Semantic Web proper and all that is affiliated with it or grown out of it. These range from a dependency on RDF/OWL triple stores […]
Cognonto Takes On Knowledge-Based Artificial Intelligence
Knowledge-based Artificial Intelligence. That’s the direction taken by startup Cognonto, co-founded by Michael Bergman, a man whose history in the AI, Machine Learning, Semantic technologies, Internet search and data arenas goes back a long way. That includes his additional duties as CEO of Structured Dynamics, birthplace of UMBEL (Upper-level Mapping and Binding Exchange Layer), a […]
Big Data and Smart Data: Big Drivers for Smart Decision Making
“Data is not smart in its own right; rather, it’s only smart if it drives smart decisions,” says James Kobielus, IBM’s Big Data evangelist, delivering the keynote address at the DATAVERSITY® Smart Data Online 2016 Conference. He considers his core focus, Big Data, as “a subset of the broader concept of Smart Data.” Kobielus says […]
Data Science Predictions for 2017
Data is now creating opportunities for business growth and profit like never before. In the last decade, the emergence of advanced data technologies and superior analytics tools has made it possible for business operators to reap numerous benefits from their data assets, yet for most they’ve only just scratched the surface of data’s potential. Data […]
Artificial Intelligence and the Future: Should We Worry About Our Data Jobs?
Speaking at the DATAVERSITY® Smart Data Online 2016 Conference, Adrian Bowles, industry analyst, recovering academic, and founder of STORM Insights, and Steve Ardire, Merchant of Light, both talked about the future of Artificial Intelligence (AI). They addressed the question: “Will robots take my job?” The short answer could be summarized as: “Maybe.” Lower level jobs […]
The Future of Big Data: Smart Data Innovations and Challenges
Big Data with Advanced Analytics is now being used extensively to find patterns and trends, and to predict the results of certain activities, such as movements in the stock market through advanced processing techniques packaged together into the term Smart Data – or data with intelligence. Data Analytics, along with Data Science techniques, have become […]
New Cloud Data Services for New Age Developers
Developers today wear many faces: They are traditional programmers, but also Data Scientists, IT architects, entrepreneurs, and self-taught casual users. Gartner, in fact, has predicted that by 2020, 60% of all fast-mode application development projects will be done outside of formal IT teams, driven by the rise of citizen developers. “We are going to have […]