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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 […]

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 […]

Data Modeling Trends in 2020: A Year of Optimization

This next year demands quicker data-driven decisions, better automation, more integration, and more data, requiring optimized Data Modeling. Data Modeling refers to documentation describing core business rules and definitions around data. Business and technical shareholders benefit from Data Modeling by seeing complex data concepts in an intuitive, visual way. Throughout 2020, Data Modeling will need […]

2019 DATAVERSITY Top 20

It is once again time to look back and evaluate the struggles and successes of the previous year and then build those lessons into the year to come. Part of how we do that here at DATAVERSITY is to look at the content consumed by the community over the year and evaluate what was hot […]

Building Data Definition Consensus

Data definitions are about a business creating a common vocabulary in a common language. They’re about how the organization thinks about itself. Take product data: The business needs to know what products it sells, how they can be categorized, what needs to be understood about that, who has financial responsibility for them, and why it […]

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