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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 […]

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 […]

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 […]

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 […]