Smart Data Collective

MARCH 8, 2021

The total amount of new data will increase to 175 zettabytes by 2025 , up from 33 zettabytes in 2018. All in all, the concept of big data is all about predictive analytics. What’s even more important, predictive analytics prevents accidents on the road. So, without further ado, let’s see how it works in detail.

Big Data 143

Big Data Big Data Predictive Analytics Data Analysis 143

Dataconomy

FEBRUARY 27, 2017

We’re on trajectory – by 2018 – to generate 50TB of data every single. Researchers have estimated that 25 years ago, around 100GB of data was generated every day. By 1997, we were generating 100GB every hour and by 2002 the same amount of data was generated in a second.

Predictive Analytics 168

Predictive Analytics Big Data Big Data Analytics 168

Smart Data Collective

APRIL 22, 2021

Brown University became the first college to use big data analytics in construction in 2015, and others soon followed. Big data analytics engines can look at commonalities between past worksites to understand how some events impact expenses. Big data analytics can help. Big data offers the insight to do so. Waste Reduction.

Big Data 135

Big Data Big Data Big Data Analytics Big Data Analytics 135

Smart Data Collective

JUNE 7, 2019

In May 2018, Fujitsu engineers published a paper on their utilization of artificial intelligence in magnetic material design. Predictive analytics helps engineers anticipate future applications and the necessary design parameters. Predictive analytics is helping designers tackle this challenge.

Big Data 100

Big Data Big Data Artificial Intelligence Artificial Intelligence 100

Towards AI

JULY 30, 2023

Enterprise Adoption of Generative AI Hi, I’m Michael and I’ve been immersed in enterprise AI adoption since 2018 when we started an AI conference called Ai4. But the AI landscape of 2023 is dramatically different than that of 2018, with generative AI playing a significant role in enterprise’s interest in undergoing an AI transformation.

AI 98

AI AI Artificial Intelligence Artificial Intelligence 98

Smart Data Collective

JANUARY 14, 2021

billion worth of losses are attributed to malware and cyberattacks coordinated through emails in 2018. Predictive analytics models design to fight email-related cyberattacks have evolved considerably. The FBI reports that almost $1.2

Big Data 133

Big Data Big Data Machine Learning Machine Learning 133

Smart Data Collective

DECEMBER 5, 2019

Predictive analytics will be used much more in airline marketing in the months to come. Still, from late 2018 on through 2019, many commercial airlines have ceased operations. In 2018 a few of these decided to expand by offering long-distance routes. Is Machine Learning Truly Helping Airlines?

Machine Learning 94

Machine Learning Machine Learning Predictive Analytics AI 94

DataRobot Blog

OCTOBER 4, 2018

by Jen Underwood. Long time, no news summaries…what happened? I’ll share the scoop on that soon. In the meantime, Cloudera and Hortonworks announced a merger that was really “big” news yesterday. That merger. Read More.

Predictive Analytics 56

Predictive Analytics Tableau Big Data Big Data 56

Alation

MARCH 21, 2023

For example, airlines have historically applied analytics to revenue management, while successful hospitality leaders make data-driven decisions around property allocation and workforce management. Why is data analytics important for travel organizations? Today, modern travel and tourism thrive on data.

Analytics 52

Analytics Analytics Data Silos Big Data 52

Smart Data Collective

AUGUST 21, 2019

billion in 2018. They can use many different types of machine learning and predictive analytics technology to get the most of it. Fortunately, machine learning and predictive analytics will help you make the most of your online product sales. Big data is changing the future of the retail industry.

Big Data 96

Big Data Big Data Predictive Analytics Machine Learning 96

Smart Data Collective

AUGUST 9, 2022

A 2018 report by UNESCO shows that AI technology is transforming the continent and Djibouti is among the countries benefiting. Predictive analytics tools have made it easier for traders to spot trends that would otherwise be missed. However, developing economies also benefit from AI as they invest more in cryptocurrencies.

AI 124

AI AI Artificial Intelligence Artificial Intelligence 124

Data Science Blog

OCTOBER 20, 2024

First, a robust data platform (such as a customer data platform; CDP) that can integrate data from various sources, such as tracking systems, ERP systems, e-commerce platforms to effectively perform data analytics. For more information on how to calculate the marginal distribution, see Zhao et al. References Zhao, K., Mahboobi, S.

Machine Learning 130

Machine Learning Machine Learning Deep Learning Deep Learning 130

Pickl AI

DECEMBER 2, 2024

Key components include data storage solutions, processing frameworks, analytics tools, and governance practices. According to a report by Statista, the global data sphere is expected to reach 180 zettabytes by 2025 , a significant increase from 33 zettabytes in 2018. What is Big Data?

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 52

Pickl AI

NOVEMBER 25, 2024

Key components include data storage solutions, processing frameworks, analytics tools, and governance practices. According to a report by Statista, the global data sphere is expected to reach 180 zettabytes by 2025 , a significant increase from 33 zettabytes in 2018. What is Big Data?

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 52

DataRobot Blog

MAY 25, 2022

From 2018 to 2020, the U.S. With DataRobot, professionals and organizations impacted by natural disasters can solve an array of difficult predictive analytics questions and rapidly gain value from their data. Climate change and natural disasters are a concern for both the public sector and commercial organizations.

AI 52

AI AI Data Scientist Predictive Analytics 52

Smart Data Collective

JUNE 30, 2023

They Use predictive analytics technology to better anticipate possible emergencies and the expected costs associated with them. AI technology can use predictive analytics algorithms to anticipate future financial needs. Again, AI-driven budgeting tools help people better prepare for these kinds of emergencies.

AI 113

AI AI Artificial Intelligence Artificial Intelligence 113

Dataconomy

MARCH 7, 2025

Prediction error refers to the difference between predicted values and observed outcomes. It captures how far off our forecasts are from reality, serving as a key metric in evaluating the effectiveness of models used in various fields, particularly in predictive analytics and machine learning.

Predictive Analytics 91

Predictive Analytics Machine Learning Machine Learning Big Data 91