datapine

AUGUST 14, 2019

Data science tools are used for drilling down into complex data by extracting, processing, and analyzing structured or unstructured data to effectively generate useful information while combining computer science, statistics, predictive analytics, and deep learning. The TIOBE index confirms that the popularity of Python is increasing.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

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 76

Big Data Cost-Benefit Predictive Analytics Manufacturing 76

Smart Data Collective

DECEMBER 5, 2019

Predictive analytics will be used much more in airline marketing in the months to come. These systems have been heralded by many for their ability to forecast demand, allowing airlines to manage the availability of inventory, a.k.a. Still, from late 2018 on through 2019, many commercial airlines have ceased operations.

Machine Learning 63

Machine Learning Cost-Benefit Strategy Marketing 63

Smart Data Collective

OCTOBER 20, 2020

There are a number of reasons that data analytics is transforming the direction of GTM marketing in 2021. Some of these were addressed in the Data Driven Summit 2018. Big data is the key to any successful marketing strategy in the 21 st Century.

Marketing 106

Marketing Data Analytics Analytics Big Data 106

Birst BI

AUGUST 23, 2018

For example, there are a plethora of software tools available to automatically develop predictive models from relational data, and according to Gartner, “By 2020, more than 40% of data science tasks will be automated, resulting in increased productivity and broader usage by citizen data scientists.” [1] Source: Gartner (April 2018).

Machine Learning 73

Machine Learning Data Science Testing Metrics 73

datapine

OCTOBER 21, 2020

Then, they could use machine learning to find the most accurate algorithms that predicted future admissions trends. However, as an article by Fast Company states, there are precedents to navigating these types of problems and roadblocks while accelerating progress towards curing cancer using the strength of data analytics.

Big Data 364

Big Data Data Analytics Analytics Cost-Benefit 364

Jet Global

NOVEMBER 8, 2021

Earlier this year, Deloitte released a report entitled Finance 2025 Revisited in which analysts reviewed their predictions from 2018, assessed progress to date, and outlined their new predictions as they look ahead to the year 2025. It will mean the difference between winning and losing in the global marketplace.

Finance 52

Finance Predictive Analytics Reporting Uncertainty 52

Alation

MARCH 21, 2023

As an industry with tight margins, travel and tourism companies can use analytics to detect trends that help them reduce costs, decide future product and service offerings, and develop successful business strategies. Using Alation, ARC automated the data curation and cataloging process.

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

datapine

NOVEMBER 19, 2019

An exemplary application of this trend would be Artificial Neural Networks (ANN) – the predictive analytics method of analyzing data. Likewise, 2018 was the year of virtual assistants: Alexa, Cortana, all of them have taken the consumers’ market by storm.

Technology 279

Technology Internet of Things IT IoT 279

Cloudera

OCTOBER 26, 2023

Trounce the competition Data and predictive analytical tools are widespread and easily accessible: do you know how your competitors are using them? As early as in a 2018 McKinsey report on the importance of data culture, industry leaders outlined the importance of identifying “data translators” within an organization.

Data-driven 76

Data-driven Predictive Analytics Forecasting Enterprise 76

Smarten

JANUARY 24, 2019

AutoML comes into play as business users leverage systems and solutions that are designed with Machine Learning capabilities to predict outcomes and analyze data. Take for example, the task of performing predictive analytics.

Machine Learning 40

Machine Learning Predictive Modeling Predictive Analytics Forecasting 40

datapine

NOVEMBER 27, 2019

Then, calculations will be run and come back to you with growth/trends/forecast, value driver, key segments correlations, anomalies, and what-if analysis. However, businesses today want to go further and predictive analytics is another trend to be closely monitored. Industries harness predictive analytics in different ways.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361