Click to learn more about author Ryan Welsh. Almost any vendor doing machine learning (ML) is appropriating valued enterprise data for its own advantage; however, this is at the enterprise customer’s expense. Regardless of whether it’s a platform or an application using this technology, ML companies of all sizes want your data and are essentially using it […]
Enterprise Analytics Trends
Evan Terry, Chief Analytics Officer at Velocity Mortgage Capital said that enterprise analytics technology is increasingly sophisticated, due to machine learning, artificial intelligence (AI), and streaming analytics, but you can’t benefit from these advancements without a solid foundation. “There’s a real interplay there between the foundational and the advanced.” Terry discussed these interplays during his […]
What Is a Knowledge Graph?
A knowledge graph, which can be considered a type of ontology, depicts “knowledge in terms of entities and their relationships,” according to GitHub. An example of a knowledge graph is shown below. Knowledge graphs developed from the need to do something with or act upon information based on context. For example, knowledge graphs help identify […]
Human-Machine Collaboration: Building Trust with Augmented Intelligence
Click to learn more about author Deepak Dube. Gartner reports have popularized the term “augmented intelligence” in the past couple of years. In this article, I will explain what it entails. Let’s begin with how Gartner defines it: “Augmented intelligence is a design pattern for a human-centered partnership model of people and artificial intelligence (AI) working together […]
Knowledge Graphs, Ontologies, and AI
This past fall, all aspects of the computable knowledge structure KBpedia – its upper ontology (KKO), full knowledge graph, mappings to major leading knowledge bases, and 70 logical concept groupings called typologies – became open source. Making big strides in increasing definitions and mappings has been a main focus of KBpedia v. 1.60. As it always […]
Data Annotation Tools for Machine Learning
Click to learn more about author Seapee Bajaj. In machine learning, data annotation involves the labeling of data to illustrate the outcome that is to be predicted by a machine learning model. One needs to mark, label, tag, transcribe, or process a dataset with the features that are required by a machine learning system to learn to […]
How E-Commerce Companies Use AI to Power Their Sales
Click to learn more about author Hardik Shah. AI-enabled computer programs can think, learn, and act in particular situations as humans do. When these intelligent programs are applied to machines, they can understand and improve without human intervention. E-commerce is one such everyday use case where merchants are increasing their sales by leaps and bounds […]
What Is Blockchain?
Blockchain is a distributed database and storage devices for the database are not all connected to a common processor. “A blockchain or distributed ledger,” as Gartner describes, “is a mechanism for adding trust in an untrusted environment.” Blockchain’s special capabilities in cryptography lead to this increased trust as a medium. Each transaction has a record. […]
Industry 4.0: Make Data-Driven Decisions Immediately
What if a cyber-physical world — fueled by data — shortened production and manufacturing decisions to the time it takes to adjust a thermostat’s temperature? This just begins to describe Industry 4.0. According to a recent McKinsey article, Industry 4.0 “expects to deliver between $1.2 and $3.7 trillion in value.” Meanwhile, according to Riasat Noor, […]
Time Series Analysis with Components
Click to learn more about co-author Maarit Widmann. Click to learn more about co-author Daniele Tonini. Click to learn more about co-author Corey Weisinger. Time Series Forecasting is often neglected says Professor Daniele Tonini: “Considering the plethora of articles, applications, web tutorials and challenges on the data science subject that we’re seeing in the last […]