Archive for the Analytics category

Vikram Pudi
Vikram Pudi

Simulating Infection Spread

Analytics, Visualization

It might seem obvious that reducing social movement will reduce the spread of infection. However, it is not obvious how much it will reduce. Will it be enough to stop the virus? Will it only slow it down? How long do we expect the virus to last in regions with differing population densities? While there […]

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bigvis2020
bigvis2020

Big Data Visualization and Analytics: Future Research Challenges and Emerging Applications – Part 1

Analytics, Big Data, Visualization

Data visualization and analytics are nowadays one of the cornerstones of Data Science, turning the abundance of Big Data being produced through modern systems into actionable knowledge. Indeed, the Big Data era has realized the availability of voluminous datasets that are dynamic, noisy and heterogeneous in nature. Transforming a data-curious user into someone who can […]

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Yunyao Li and Shivakumar Vaithyanathan
Yunyao Li and Shivakumar Vaithyanathan

Role of AI in Enterprise Applications

Analytics, Machine Learning

The recent return of AI summer and the enthusiastic uptake of AI in the commercial world can be loosely attributed to three innovations: Apple’s Siri, Google’s self-driving cars, and IBM Watson Jeopardy. This enthusiasm stems from the belief that AI will influence a wide range of applications across multiple industry segments. While such enthusiasm is, […]

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Aditya Parameswaran
Aditya Parameswaran

Visual Data Exploration: A Fertile Ground for Data Management Research

Analytics, data exploration, Databases

Information visualization is an essential tool in the arsenal of a data scientist: visualizations help identify trends and patterns, spot outliers and anomalies, and verify hypotheses. Moreover, visualizations are visceral and intuitive: they tell us stories about our data; they educate, delight, inform, enthrall, amaze, and clarify. This has led to the overwhelming popularity of […]

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Letizia Tanca
Letizia Tanca

Wisdom: a “double V” for Big Data

Analytics, Big Data, data exploration

Some months ago, I found an exciting piece of news on the Web: a top manager proclaimed [1]: “If the most important thing you offer is data, you are in trouble. (….) Algorithms is where the real value lies. Algorithms define action.” How interesting! It seems to suggest that everybody, including computer scientists and in […]

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