CIO Business Intelligence

FEBRUARY 10, 2023

Predictive analytics in business Predictive analytics draws its power from a wide range of methods and technologies, including big data, data mining, statistical modeling, machine learning, and assorted mathematical processes. Airlines frequently use predictive analytics to set ticket prices reflecting past travel trends.

Predictive Analytics 145

Predictive Analytics Analytics Predictive Modeling Forecasting 145

Smart Data Collective

SEPTEMBER 16, 2020

Predictive analytics, sometimes referred to as big data analytics, relies on aspects of data mining as well as algorithms to develop predictive models. These predictive models can be used by enterprise marketers to more effectively develop predictions of future user behaviors based on the sourced historical data.

Predictive Analytics 139

Predictive Analytics Analytics Predictive Modeling Data mining 139

Rocket-Powered Data Science

OCTOBER 6, 2023

The point is that the 100% association between the event and the preceding condition has no special predictive or prescriptive power. In statistical terms, the joint probability of event Y and condition X co-occurring, designated P(X,Y), is essentially the probability P(Y) of event Y occurring.

Business Analytics 157

Business Analytics Prescriptive Analytics Analytics Statistics 157

DataKitchen

SEPTEMBER 21, 2023

Data in Use pertains explicitly to how data is actively employed in business intelligence tools, predictive models, visualization platforms, and even during export or reverse ETL processes. There are multiple locations where problems can happen in a data and analytic system. What is Data in Use?

Testing 173

Testing Data Quality Predictive Modeling Metrics 173

Rocket-Powered Data Science

JULY 6, 2021

Customer purchase patterns, supply chain, inventory, and logistics represent just a few domains where we see new and emergent behaviors, responses, and outcomes represented in our data and in our predictive models. 5) The emergence of Edge-to-Cloud architectures clearly began pushing Industry 4.0 will look like).

Machine Learning 279

Machine Learning Data-driven Deep Learning IoT 279

Smart Data Collective

MAY 17, 2021

All that performance data can be fed into a machine learning tool specifically designed to identify certain events, failures or obstacles. Predictive models, estimates and identified trends can all be sent to the project management team to speed up their decisions. That’s also where big data can step in and vastly expand ops.

Big Data 132

Big Data Cost-Benefit IoT Machine Learning 132

Juice Analytics

JANUARY 27, 2020

A couple weeks ago I had the opportunity to present to a group of innovation leaders at The Disruption Lab event alongside my friend and Juicebox customer Gene Boerger of Preverity. Is there a predictive model or best practice benchmark that adds insight to the data?

Predictive Modeling 125

Predictive Modeling Modeling Management IT 125

CIO Business Intelligence

JULY 5, 2022

Data analytics is used across disciplines to find trends and solve problems using data mining , data cleansing, data transformation, data modeling, and more. Business analytics also involves data mining, statistical analysis, predictive modeling, and the like, but is focused on driving better business decisions.

Business Analytics 136

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 136

O'Reilly on Data

MARCH 24, 2020

.” Researchers at Google AI have adapted Snorkel to label data at industrial/web scale and demonstrated its utility in three scenarios: topic classification, product classification, and real-time event classification. Snorkel doesn’t stop at data labeling.

Machine Learning 364

Machine Learning Statistics Data Quality Data Collection 364

DataRobot

MARCH 27, 2020

At DataRobot , we love problems that involve large sets of data, discrete cause-and-effect events, and difficult predictions; which makes baseball the ideal playground for our data scientists.

Predictive Modeling 17

Predictive Modeling Machine Learning Modeling Technology 17

Decision Management Solutions

JANUARY 16, 2020

The Machine Learning Times (previously Predictive Analytics Times) is the only full-scale content portal devoted exclusively to predictive analytics. ” In his article, Eric warns, “Predictive models often fail to launch. ” In his article, Eric warns, “Predictive models often fail to launch.

Machine Learning 87

Machine Learning Predictive Modeling Predictive Analytics Deep Learning 87

Smarten

JULY 30, 2024

Assisted Predictive Modeling Enables Business Users to Predict Results with Easy-to-Use Tools! Gartner predicted that, ‘75% of organizations will have deployed multiple data hubs to drive mission-critical data and analytics sharing and governance.’

Predictive Analytics 62

Predictive Analytics Prescriptive Analytics Predictive Modeling Analytics 62

CIO Business Intelligence

DECEMBER 19, 2024

Skills in Python, R, TensorFlow, and Apache Spark enable professionals to build predictive models for energy usage, optimize resource allocation, and analyze environmental impacts. This is where machine learning algorithms become indispensable for tasks such as predicting energy loads or modeling climate patterns.

IT 52

IT IoT Machine Learning Optimization 52

CIO Business Intelligence

SEPTEMBER 5, 2023

By embracing machine learning and predictive analytics from SAP, it has been able to build predictive models for abnormal events based on sensor data and feed them into user-friendly dashboards and e-mail notifications. These are just two examples of what’s already happening when AI is embedded into cloud solutions.

Technology 105

Technology Predictive Modeling Predictive Analytics Forecasting 105

CIO Business Intelligence

MARCH 22, 2022

It emulates and predicts extreme weather events such as hurricanes or atmospheric rivers like those that brought flooding to the Pacific Northwest and to Sydney, Australia, in early March. Nvidia claims it can do so up to 45,000 times faster than traditional numerical prediction models.

Modeling 144

Modeling Machine Learning Forecasting Optimization 144

DataRobot Blog

JULY 22, 2022

At many organizations, the current framework focuses on the validation and testing of new models, but risk managers and regulators are coming to realize that what happens after model deployment is at least as important. Legacy Models. No predictive model — no matter how well-conceived and built — will work forever.

Modeling 105

Modeling Risk Management Testing Machine Learning 105

CIO Business Intelligence

SEPTEMBER 10, 2024

We envisioned harnessing this data through predictive models to gain valuable insights into various aspects of the industry. This included predicting political outcomes, such as potential votes on pipeline extensions, as well as operational issues like predicting the failure of downhole submersible pumps, which can be costly to repair.

IT 122

IT Risk Risk Management Predictive Modeling 122

CIO Business Intelligence

MAY 21, 2024

With this model, patients get results almost 80% faster than before. Next, Northwestern and Dell will develop an enhanced multimodal LLM for CAT scans and MRIs and a predictive model for the entire electronic medical record.

IT 131

IT Cost-Benefit Experimentation Forecasting 131

Cloudera

NOVEMBER 2, 2020

Ingest 100s of TB of network event data per day . real-time customer event data alongside CRM data; network sensor data alongside marketing campaign management data). Several billion ad impression events per day are streamed in and stored. Time Series and Event Analytics Specialized RTDW. 200,000 queries per day.

Data Warehouse 97

Data Warehouse Dashboards Optimization Interactive 97

Smart Data Collective

MAY 23, 2021

While this can be classed as data science, one difference is that data science tends to use a predictive model to make its analysis, while AI can be capable of analyzing based on learned knowledge and facts. Otherwise, this can be an expensive task, particularly in the event of human error. The benefits to your tech company.

Data Science 118

Data Science Cost-Benefit Statistics Predictive Modeling 118

Cloudera

OCTOBER 14, 2020

This data will be used to train the model that can predict how many flights a given engine has until failure. For each training set, there is a corresponding test data set that provides data on 100 jet engines at various stages of life with actual values on which to test the predictive model for accuracy. .

Machine Learning 97

Machine Learning Modeling Cost-Benefit Testing 97

AWS Big Data

MARCH 7, 2023

It covers how to use a conceptual, logical architecture for some of the most popular gaming industry use cases like event analysis, in-game purchase recommendations, measuring player satisfaction, telemetry data analysis, and more. You can collect metrics and events and analyze them for operational efficiency.

Analytics 97

Analytics Data Warehouse Data Lake Metadata 97

Smarten

AUGUST 5, 2022

‘By providing this type of expanded functionality to the team, the business can enable both data scientists and business users with predictive analytics that will benefit the organization.’. Using these techniques, the organization can predict future events, customer buying behaviors, and business outcomes.

Predictive Analytics 52

Predictive Analytics Predictive Modeling Analytics Forecasting 52

DataRobot

MARCH 2, 2021

With DataRobot, you can build dozens of predictive models with the push of a button and easily deploy them. Monitoring deployed models is easy because we provide features to check on service health, data drift, and accuracy. DataRobot products offer an end-to-end solution to address all stages of the AI pipeline.

Predictive Modeling 98

Predictive Modeling Risk Consulting Dashboards 98

Smart Data Collective

MARCH 28, 2022

There are four main types of data analytics: Predictive data analytics: It is used to identify various trends, causation, and correlations. It can be further classified as statistical and predictive modeling, but the two are closely associated with each other. They can be again classified as random testing and optimization.

Data Analytics 105

Data Analytics Software Analytics Statistics 105

Jedox

MAY 17, 2022

When we think of literal seasons – spring, summer, autumn, winter – these are literal repeated events that happen every year like clockwork. In finance, we know there are annual events that substantially impact our data, like IRS filing deadlines. Predictive analytics, by definition, cannot predict what is unpredictable.

Predictive Analytics 83

Predictive Analytics Finance Analytics Forecasting 83

Cloudera

AUGUST 4, 2021

I will talk more about Predictive Maintenance in the Public Sector and how government agencies are optimizing equipment maintenance with data insight during Cloudera’s Industry Event on August 5. Organizations need a secure, governed, scalable platform that can easily ingest, store, manage, and process streaming data—at a lower cost.

IoT 98

IoT Unstructured Data Machine Learning Predictive Modeling 98

CIO Business Intelligence

JUNE 20, 2022

IoT sensors send elevator data to the cloud platform, where analytics are applied to support business operations, including reporting, data visualization, and predictive modeling. The platform tier encapsulates the common entry point — an IoT event hub that processes messages sent to the cloud from the edge in real-time.

Internet of Things 105

Internet of Things IoT Manufacturing Machine Learning 105

Cloudera

NOVEMBER 18, 2020

In a year marked by unusual events, and disruption to our “normal” lives, it was a pleasure to recognize our customers’ most impressive achievements. The pipeline provides its clinicians fast access to real-time patient data and prediction models.

Internet Publishing and Broadcasting 123

Internet Publishing and Broadcasting Data-driven Broadcasting Digital Transformation 123

datapine

JANUARY 31, 2022

For example, by using prediction models, they are able to generate a heatmap to tell drivers where they should place themselves to take advantage of the best demand areas. The gathered data includes everything from customers’ waiting times, peak demand hours, traffic for each city, a driver’s speed during a trip, and much more.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

CIO Business Intelligence

JUNE 22, 2022

Given that the value of insight decreases over time, the more time that has lapsed between a business event, the less time an organisation has to analyse the data that affects business-critical decisions. At the same time, 5G adoption accelerates the Internet of Things (IoT).

IoT 98

IoT IT Manufacturing Internet of Things 98

Smarten

MAY 17, 2019

Predictive analytics can help the business to understand online buying behavior, and when, where and how to serve ads, market products and offer discounts or other incentives. We invite you to explore other use cases and discover how predictive analytics, and assisted predictive modeling can help your business to achieve its goals.

Predictive Analytics 51

Predictive Analytics Marketing Analytics Predictive Modeling 51

Cloudera

APRIL 27, 2022

Given that the value of insight decreases over time, the more time that has lapsed between a business event, the less time an organisation has to analyse the data that affects business-critical decisions. At the same time, 5G adoption accelerates the Internet of Things (IoT).

IoT 99

IoT IT Manufacturing Internet of Things 99

CIO Business Intelligence

MAY 10, 2022

CDP smart hubs: These platforms emphasize marketing orchestration and personalization, with the ability to time and target responses based on user behavior and event data. Treasure Data CDP is a data science CDP built for predictive modeling and advanced analytics. They typically have easy-to-use backend interfaces.

Advertising 122

Advertising Interactive Marketing Structured Data 122

John Wheeler

OCTOBER 20, 2020

Other quantitative analysis methods are used to develop more precise predictive models to determine the potential for digital risk events, such as product/service liability, fraud or theft. Proactive management of risk incidents, ranging from physical events (e.g., Incident Management.

Risk Management 52

Risk Management Risk Insurance Predictive Modeling 52

CIO Business Intelligence

SEPTEMBER 2, 2022

The pandemic falls into the macro-level because we really can’t predict those kinds of events. Last year, for example, we developed a predictive model for parts shortages that helps us better understand a supplier’s past behavior and the different sources related to that.

Uncertainty 98

Uncertainty Manufacturing Data-driven Business Intelligence 98

CIO Business Intelligence

SEPTEMBER 2, 2022

The pandemic falls into the macro-level because we really can’t predict those kinds of events. Last year, for example, we developed a predictive model for parts shortages that helps us better understand a supplier’s past behavior and the different sources related to that.

Uncertainty 98

Uncertainty Manufacturing Data-driven Business Intelligence 98