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Everything You Need to Know About NLP and its Use Cases

Click to learn more about author Hiren Dhaduk. Natural Language Processing (NLP) is defined as the automatic manipulation of natural languages, such as speech and text, by using software or any programming language.  It is a branch of artificial intelligence that deals with the interaction between humans and computers using natural language. In short, the objective of NLP is to decipher, read, understand, and make sense of human words. Some…

GDPR, CCPA, and the AI Explainability Question

Click to learn more about Abhi Yadav In most large organizations, artificial intelligence (AI) and machine learning (ML) are powering key business functions, from big data analytics and customer service to fraud detection and personalized marketing. Insights that AI and ML can produce are powerful, but it’s often difficult, if not impossible, to explain how these algorithms arrived at them. This limitation could pose significant problems for compliance with the…

Hybrid Solutions are the Hot Topic for 2020

LeaseWeb mei 2015, Hannie Verhoeven Fotograaf Click to learn more about author Lex Boost. In 2019, global hybrid solutions became the ‘hot topic’ for businesses. Industry experts anticipate this trend to continue this year as businesses seek to utilize the benefits of both public and private cloud solutions. The ability to merge public clouds with the capabilities of private clouds allows companies to efficiently handle high levels of activity –…

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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

Justify MDM Investments with an Alternative Approach

How far can Data Quality fall before real pain sets in? Not far. Addressing that issue requires validating, matching, and merging existing data so that you can drive out duplicates and enrich the data with new data as it becomes available. In other words, it requires Master Data Management (MDM), which helps companies share data definitions and standards across the enterprise and avoid confusion, errors, overlaps, and redundancies across multiple…

Big Data Trends in 2020

In 2019, automation frameworks designed to process big data made it much easier to go from the start of a new analytics project to the production phase. Additionally, per the requirements of GDPR, many more businesses now have Chief Protection Officers (and likely Chief Data Officers), which has, in turn, resulted in their shifting from ad hoc analytics to more efficient, streamlined big data platforms. It is predicted that data…

So You Want to be a Data Architect?

Being a data architect requires a good understanding of the cloud, databases in general, and the applications and programs used to maximize their potential. A fully functional data architect understands all the phases of Data Modeling, including conceptualization and database optimization. They also understand a continuing education is part of the job. Typically, a data architect has a degree in information technology, computer science, computer engineering, or a similar field.…

Updating Data Governance: Set Up a Cohesive Plan First

Enterprises are taking Data Governance—planning and programming to control and secure data—more seriously. In a recent DATAVERSITY® Trends in Data Management Report, 76 percent of organizations have a Data Governance program in place or such a plan for the future. This makes sense as companies focus more on security and business growth. Data breaches have increased. Ransomware families have grown 700 percent since 2016 and attacks are up 365 percent…

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…

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