Data discovery describes processes in understanding data sets on hand for data integration and/or data analysis. This step occurs in design and should combine technical search from tools with subject matter expertise, from people. During data discovery, a high-level view is taken in assessing data preparation, or data quality needs. Data discovery can be broken […]
How AI Is Revolutionizing Social Visibility
Click to learn more about author Ashok Sharma. Artificial intelligence has the power to revolutionize the social visibility of brands, making way for a very inclusive approach towards online marketing. Today, the power of digital marketing and artificial intelligence go hand in hand. Artifical intelligence (AI) in digital marketing is useful in gathering data from all […]
Talend Demo: Accelerating and Enhancing Your Cloud Data Warehouse with Talend
Download the slides: https://content.dataversity.net/rs/656-WMW-918/images/Talend-AWS-REDSHIFT-TRA.pdf Learn how to maximize your investment by leveraging three cool, recently enhanced capabilities in Talend that better enable data professionals to connect to and accelerate the return they receive from their preferred cloud data services. In this session, we will show you how Talend can optimize connectivity, scalability, and usability with […]
Embedded BI: A Simple, Seamless, Secure Solution
Click to learn more about author Daniel Jebaraj. Business intelligence (BI) today is experiencing a great divide. On one side are standalone applications designed solely for business analytics, such as Tableau or Power BI. End-users bring their data — which may come from many different sources — to the standalone application to perform analyses and […]
Are We a $1B Investment Away from General AI?
Click to learn more about author Paul Barba. As most anyone following AI knows, the R&D company OpenAI recently released a paper on GPT-3, its third-generation language model which, at 175 billion parameters, has the claim to fame of being about an order of magnitude larger than any language model that came before it. Currently […]
Deep Learning Updates: Machine Learning, Deep Reinforcement Learning, and Limitations
In recent years, some astonishing technological breakthroughs in the field artificial intelligence (AI) and its sub-field deep learning have begun to train machines to behave like humans. As machines are increasingly emulating complex cognitive functions such as deductive reasoning, inferences, and informed decision-making, robots functioning as humans are a reality in many industry practices today. […]
The State of Enterprise NLP in 2020: Five Things to Know
Click to learn more about author Ben Lorica. It’s no surprise that Natural Language Processing (NLP) technology has been gaining steam in the enterprise over the last several years. With the power to predict disease, sift through hundreds of resumes to find a perfect job candidate, help identify and resolve customer service issues, and even […]
DAS Slides: Data Virtualization – Separating Myth from Reality
DAS Slides: Data Virtualization – Separating Myth from Reality from DATAVERSITY To view just the On Demand recording of this presentation, click HERE>> About the Webinar Data virtualization is a practice that logically integrates data from disparate sources without the need to physically move the data. While this can be an appealing prospect, there is […]
DAS Webinar: Data Virtualization – Separating Myth from Reality
To view just the slides from this presentation, click HERE>> About the Webinar Data virtualization is a practice that logically integrates data from disparate sources without the need to physically move the data. While this can be an appealing prospect, there is a good deal of confusion around this technology and how to use it […]
Five Key Features for a Machine Learning Platform
Click to learn more about co- author Ion Stoica. Click to learn more about co- author Ben Lorica. Machine learning platform designers need to meet current challenges and plan for future workloads. As machine learning gains a foothold in more and more companies, teams are struggling with the intricacies of managing the machine learning lifecycle. […]