Cloudera

AUGUST 18, 2021

It makes more sense to analyze and derive insights from it, and then place it in the data lake — properly tagged for easy access later. If the data goes into a data lake before analysis, extracting it can get pretty complex and time-consuming. Data source diversity also must be addressed because it, too, adds complexity.

Data Lake 88

Data Lake IoT Internet of Things Data-driven 88

Smart Data Collective

NOVEMBER 15, 2019

You can even use predictive analytics tools to see which ones will provide the most clicks and therefore boost your organic search rankings. You can use predictive analytics to see which titles will resonate the best with customers. Big data is great at helping you figure out which meta descriptions work best.

Big Data 81

Big Data Predictive Analytics Optimization Strategy 81

BizAcuity

OCTOBER 21, 2019

Text analysis involves information retrieval, lexical analysis to study word frequency distributions, pattern recognition, tagging/annotation, information extraction, data mining techniques including link and association analysis, visualization, and predictive analytics.

Analytics 40

Analytics Unstructured Data Data mining Structured Data 40

Rocket-Powered Data Science

MARCH 10, 2020

The training data and feature sets that feed machine learning algorithms can now be immensely enriched with tags, labels, annotations, and metadata that were inferred and/or provided naturally through the transformation of your repository of data into a graph of data.

Metadata 250

Metadata Machine Learning ROI Prescriptive Analytics 250

Smart Data Collective

MARCH 5, 2022

Here are some reasons that data scientists will have a strong edge over their competitors after starting a dropshipping business: Data scientists understand how to use predictive analytics technology to forecast trends. It uses complex data analytics features.

Data mining 133

Data mining Big Data Data-driven Data Science 133

Ontotext

NOVEMBER 22, 2020

Machine learning coupled with knowledge graphs is already collecting, categorizing, tagging and adding the needed structure to the endless (and useless) swathes of unstructured data.

Metadata 72

Metadata Cost-Benefit Unstructured Data Technology 72

IBM Big Data Hub

FEBRUARY 14, 2024

Clarify computer vision AI-powered computer vision enables image segmentation , which has a wide variety of use cases, including aiding diagnosis in medical imaging, automating locomotion for robotics and self-driving cars, identifying objects of interest in satellite images and photo tagging in social media.

Cost-Benefit 89

Cost-Benefit Insurance Unstructured Data Machine Learning 89

Howard Dresner

SEPTEMBER 20, 2014

Perhaps a tag with “some assembly required” should be attached to business intelligence analytics tools. We just released in July our Advanced and Predictive Analytics Market Study report in our Wisdom of Crowds series, and I wanted to explore the topic in more depth in one of my recent Friday #BIWisdom tweetchats.

Business Intelligence 40

Business Intelligence Predictive Analytics Data-driven Data Processing 40

Occam's Razor

AUGUST 22, 2011

Accuracy, Precision & Predictive Analytics. Multiplicity: Succeed Awesomely At Web Analytics 2.0! Rethink Web Analytics: Introducing Web Analytics 2.0. Data Mining And Predictive Analytics On Web Data Works? Web Analytics Tool Selection: Three Questions to ask Yourself. JavaScript Tags).

KPI 124

KPI Metrics Measurement ROI 124

Smart Data Collective

SEPTEMBER 17, 2019

AI uses cluster analytics and predictive analytics to audit pages and identify search terms that will be popular in the future. AI predicts customer needs. Geo tags assign a geographical location to a photo, video, website, and social media posts. Optimize your website and meta tags for local keywords.

Strategy 66

Strategy Technology Marketing Optimization 66

Jet Global

JULY 11, 2019

With major advances being made in artificial intelligence and machine learning, businesses are investing heavily in advanced analytics to get ahead of the competition and increase their bottom line. Demand forecasting is an area of predictive analytics best known for understanding consumer demand for goods and services.

Business Intelligence 72

Business Intelligence Forecasting Predictive Analytics Data Warehouse 72

Ontotext

SEPTEMBER 2, 2020

By classifying, tagging, and labeling content with other data, the relationships between them become clear. It is increasingly the case that AI is making the rote decisions such as Ontotext’s NLP plugins for automating semantic tagging. With knowledge graphs, automated reasoning becomes even more of a possibility.

Insurance 72

Insurance Metadata Publishing Unstructured Data 72

Jet Global

OCTOBER 1, 2019

With major advances being made in artificial intelligence and machine learning, businesses are investing heavily in advanced analytics to get ahead of the competition and increase their bottom line. Demand forecasting is an area of predictive analytics best known for understanding consumer demand for goods and services.

Business Intelligence 40

Business Intelligence Forecasting Predictive Analytics Data Warehouse 40

Jet Global

JUNE 18, 2019

As hospital equipment has transitioned to digital and internet-enabled devices, the data generated in real-time from these devices has fuelled the need for big data analytics platforms to make sense of it all. It will give you fast access to the right data when you need it, without technical expertise or an expensive price tag.

Big Data 75

Big Data Software Data Analytics Analytics 75

Jet Global

OCTOBER 3, 2019

As hospital equipment has transitioned to digital and internet-enabled devices, the data generated in real-time from these devices has fuelled the need for big data analytics platforms to make sense of it all. It will give you fast access to the right data when you need it, without technical expertise or an expensive price tag.

Big Data 53

Big Data Software Data Analytics Analytics 53

Occam's Razor

FEBRUARY 7, 2011

If you are in a company this is easier to get done as you have access to people and at least some data (even if the site is not tagged). The latter, except in rare cases, is hard to do predictive analytics on unless you are a stagnant business. But if it helps I love Tag Clouds , Keyword Trees , and Motion Charts.

Analytics 94

Analytics Measurement Metrics Predictive Analytics 94

AWS Big Data

APRIL 28, 2023

Tens of thousands of customers use Amazon Redshift to process exabytes of data per day and power analytics workloads such as BI, predictive analytics, and real-time streaming analytics. It uses the GetCredentials API to get temporary database credentials.

Interactive 89

Interactive Metadata Data Warehouse Data-driven 89

Alation

JANUARY 27, 2022

Analytics can identify patterns that depict risks, opportunities, and trends. And historical data can be used to inform predictive analytic models, which forecast the future. The insights gained from analytics can provide value to businesses in several ways. What Is the Value of Analytics?

Data Governance 52

Data Governance Analytics Cost-Benefit Data-driven 52

Jet Global

MAY 1, 2023

By Industry Businesses from many industries use embedded analytics to make sense of their data. In a recent study by Mordor Intelligence , financial services, IT/telecom, and healthcare were tagged as leading industries in the use of embedded analytics. Diagnostic Analytics: No longer just describing.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52