Data Ethics describe a code of behavior, specifically what is right and wrong, encompassing the following: Data Handling: generation, recording, curation, processing, dissemination, sharing, and use. Algorithms: AI, artificial agents, machine learning, and robots. Corresponding Practices: responsible innovation, programming, hacking, and professional codes. Data Ethics build on the foundation provided by computer and information ethics, but […]
White Paper: The Case for Embedding Analytics in Your Product
Timing is Everything — The Case for Embedding Analytics in Your Product Sooner Rather Than Later About the White Paper Regardless of your industry, the customers of today want and expect that their products deliver one critical element on top of your product’s base functionality. They want their data. They want to see with their […]
The Digital Mesh: How is it Changing Enterprises?
Is this a science fiction movie? No, the digital mesh — the long-awaited gift of connected technologies — is here now. Advanced science and telecommunications technologies together triggered the latest technology disruption, enabling people, processes, and digital devices to engage in a way that is vital for the survival of modern businesses. Landmark Digital Disruption: […]
ADV Slides: Platforming the Major Analytic Use Cases for Modern Engineering
Platforming the Major Analytic Use Cases for Modern Engineering from DATAVERSITY To view just the On Demand recording of this presentation, click HERE>> About the Webinar We’ll describe some use cases as examples of a broad range of modern use cases that need a platform. We will describe some popular valid technology stacks that enterprises […]
ADV Webinar: Platforming the Major Analytic Use Cases for Modern Engineering
To view just the slides from this presentation, click HERE>> About the Webinar We’ll describe some use cases as examples of a broad range of modern use cases that need a platform. We will describe some popular valid technology stacks that enterprises use in accomplishing these modern use cases of customer churn, predictive analytics, fraud […]
From Minutes to Microseconds: How Can Businesses Speed up Real-Time Analytics?
Click to learn more about author Eric Raab. For many enterprises, conversations regarding data strategies have shifted from discussing big data to fast data. The ability to understand and act on real-time data insights – often adding the context from historical data – has become a critical differentiator for firms in almost every industry sector […]
Why 2021 Will See More Predictive Monitoring in Process Manufacturing Plants
Click to learn more about author Chen Linchevski. Predictive monitoring is the latest use case for predictive analytics in process manufacturing, which stands to bring enormous value to the process industry. By combining machine learning (ML) analytics with the rich and extensive data gathered by IIoT sensors across the plant, predictive monitoring systems can pick […]
Deep Learning Demystified
The “deep” in deep learning refers to the number of hidden layers involved in the design. Deep learning is a way of training artificial intelligence (AI) to recognize specific data, such as speech or faces, and to make predictions based on previous experiences. Unlike machine learning, which organizes and sends data through predefined algorithms, deep […]
Will They Blend? Google BigQuery Meets Databricks
Click to learn more about author Emilio Silvestri. In the “Will They Blend?” blog series, we experiment with the most interesting blends of data and tools. Whether it’s mixing traditional sources with modern data lakes, open-source DevOps on the cloud with protected internal legacy tools, SQL with noSQL, web-wisdom-of-the-crowd with in-house handwritten notes, or IoT […]
What Is Naïve Bayes Classification and How Is It Used for Enterprise Analysis?
Click to learn more about author Kartik Patel. What Is Naïve Bayes Classification? Naive Bayes is a classification algorithm that is suitable for binary and multiclass classification. It is a supervised classification technique used to classify future objects by assigning class labels to instances/records using conditional probability. In supervised classification, training data is already labeled with […]