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What’s Next for AI in 2020?

Click to learn more about author Roger Magoulas. Artificial intelligence has no doubt had a huge impact on business and society as a whole. From healthcare to the military to autonomous cars, AI is paving the way for new applications – all while making our lives easier by reducing human effort and providing accurate intelligence. As 2020 begins, here’s a quick snapshot of the new developments in automation, hardware, tools,…

A “Thing” Explainer – Technology Edition

Click to learn more about author Leon Adato. With so many technology buzzwords flying around (and it seems more being added by the day), it’s become increasingly difficult to fully grasp the functionalities of new technologies before the “next best thing” is announced, revealed, merged, acquired, or discovered. As tech pros, we have a difficult job – we must help demystify trends and rumors about new technology, and even counsel business…

2020 Will Be the Year of Security First, Connectivity Second

Click to learn about author Josh Flinn. The traditional approach to IT strategy has been network first, data security second. Prepare for this paradigm to shift in 2020, as we move even more definitively into an approach that requires security to take the front seat to connectivity, which flips the original design of the internet on its head. The East Coast Polytechnic Institute explains why security no longer can be…

Case Studies

What is...?

What is a Data Analyst?

Data analysts help businesses make better, more informed decisions by not only collecting and…

What is a Data Architect?

A data architect provides clear specifications, models, and definitions, translating a business’ Data Strategy…

What is a Data Engineer?

Data engineers build Data Architecture  through infrastructures and foundations. A data engineer is tasked…

What is Data Literacy?

Data literacy describes the ability to read, work with, analyze, and argue with data,…

What is DataOps?

DataOps (Data Operations) is collaborative Data Management practices “focused on improving the communication, integration,…

What is a Data Scientist?

Data scientists emphasize rigor and performance when obtaining, scrubbing, exploring, modeling, and interpreting data.…

Most Recent Articles

Data Governance Trends in 2020

Data Governance always has been a complicated issue for most organizations. That won’t change in a big way in 2020. In fact, the increasing prevalence of technologies like artificial intelligence (AI) and machine learning (ML) may show up some of the pains even more. Don’t take that to mean that companies aren’t becoming more mature in their approach to Data Governance, though. AI, ML, the Internet of Things (IoT), and…

The Future of Deep Learning

Deep learning (DL) became an overnight “star” when a robot player beat a human player in the famed game of AlphaGo. Deep learning training and learning methods have been widely acknowledged for “humanizing” machines. Many of the advanced automation capabilities now found in enterprise AI platforms are due to the rapid growth of machine learning (ML) and deep learning technologies. What’s Next for Deep Learning? attempts to answer this question…

The Art of Data Extraction

To be a data-driven business, companies need data. A lot of data. They have plenty of data in-house to work with, of course — their customer and sales data, data they get from their subscriptions to third-party data providers, and so on. But what about all that data on the web? Sourcing data from the web to help businesses with analytics has its challenges. Making sure that the data they…

The Value of Metadata Governance

Data, by itself, is just data. But put data in context—that’s when it becomes useful information. Robert Seiner, while speaking at the DATAVERSITY® Enterprise Data Governance Online Conference, said that what provides that context is metadata: “Data plus metadata equals the information that our organizations need to use to be successful.” Seiner is President and Principal of KIK Consulting and Educational Services, the publisher of The Data Administration Newsletter (TDAN),…

Case Study: Building a Business Intelligence Team with Confidence and Transparency

Meeting the company’s goals is the responsibility of everyone in the organization, so even those who aren’t directly influencing the cost or the revenue side should know what those goals are. “No matter who you are, you are directly or indirectly affecting key company metrics,” said Vanessa Lam, Business Intelligence Manager for Optoro. Lam shared with DATAVERSITY® Enterprise Data World Conference participants her experience creating and building Optoro’s Business Intelligence…

Data Management vs. Business Intelligence

What is a company to do when Business Intelligence (BI), designed to leverage data as an asset, costs too much time and money due to failures in traditional Data Management processes, such as the prepping and cleaning of data? Should a business analyst, wanting to produce ad-hoc reports, have to be tech-savvy or wait for someone more knowledgeable to help fix these problems? Many firms are turning to self-service BI…

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