Click to learn more about author Tejasvi Addagada. With the ever-increasing variety of tool stacks, managing data has become more complex. The tool-stack needs to be managed along with the data that is either stored or processed by them. As we manage this disparate data actively, self-service business intelligence is possible. Further, this ideal state […]
Data Science and AI Use Cases
A business use case is generally defined as a sequence of business actions that lead to a predetermined, value-added outcome. Data Flair shares the Top 6 Data Science Use Cases slated to bring in another industrial revolution. From banking to transportation in the physical business world, and from social media to e-commerce on the digital business […]
What Is Data Security?
Data security describes the implementation of policies and procedures to ensure people and things take the right actions with data and information assets, even in the presence of malicious inputs. The right actions mean controlling and enabling data activity by balancing needs from: Stakeholders: Protect personal information while allowing access for legitimate transactions agreed upon […]
Reversing Cognitive Bias in Business Decisions Through Data Curiosity
Click to learn more about Sharad Varshney. “We don’t see things as they are. We see things as we are.” –Anais Nin, French-Cuban-American novelist Cognitive bias damages research and, in turn, analytics. However, you might be surprised to learn that bias is fundamental to the function of the human brain. In one cognitive bias study at Stanford […]
Translating Data into Action
Click to learn more about author Michael D. Shaw. To collect data is to collate data: arranging intelligence by exercising intelligence; analyzing intelligence based on experience; applying intelligence in accord with wisdom. No algorithm can do these things well, just as no amount of artificial intelligence (AI) can supplant the wants of people to interact – to […]
What Is KNN Classification and How Can This Analysis Help an Enterprise?
Click to learn more about author Kartik Patel. In this article, we will discuss the KNN Classification method of analysis. What Is the KNN Classification Algorithm? The KNN (K Nearest Neighbors) algorithm analyzes all available data points and classifies this data, then classifies new cases based on these established categories. It is useful for recognizing patterns […]
Unlocking the Role of Big Data in Facilities Management
Click to learn more about author Ray Brosnan. Facilities management is a broad discipline that involves the management and optimization of a business’ environment, property, equipment, and people to achieve maximum process efficiency, personnel comfort, and organizational productivity. Big data, on the other hand, refers to the large-scale collection of relevant data by an organization and […]
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 […]
Stepping into Web Data Parsing: An Overview
Click to learn more about author Juras Juršėnas. As far as I can remember, the usefulness of online public data was always pitched against the efforts of extracting and structuring it. However, going from raw data to a well-structured and parsed output takes a considerable amount of time, effort, and resources. Even once the initial […]
Online Machine Learning: Into the Deep
Click to learn more about author Andrea Ferretti. Online learning is a branch of machine learning that has obtained a significant interest in recent years, thanks to its peculiarities that perfectly fit numerous kinds of tasks in today’s world. Let’s dive deeper into this topic. What Exactly Is Online Learning? In traditional machine learning, often […]