CIO Business Intelligence

FEBRUARY 10, 2023

Predictive analytics definition Predictive analytics is a category of data analytics aimed at making predictions about future outcomes based on historical data and analytics techniques such as statistical modeling and machine learning. Financial services: Develop credit risk models. from 2022 to 2028.

Predictive Analytics 145

Predictive Analytics Analytics Predictive Modeling Forecasting 145

Rocket-Powered Data Science

JULY 13, 2023

Beyond the early days of data collection, where data was acquired primarily to measure what had happened (descriptive) or why something is happening (diagnostic), data collection now drives predictive models (forecasting the future) and prescriptive models (optimizing for “a better future”).

Analytics 167

Analytics Machine Learning Data Science Data Collection 167

CIO Business Intelligence

JULY 5, 2022

Business analytics is the practical application of statistical analysis and technologies on business data to identify and anticipate trends and predict business outcomes. 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 136

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 136

Cloudera

FEBRUARY 16, 2022

In this example, the Machine Learning (ML) model struggles to differentiate between a chihuahua and a muffin. Will the model correctly determine it is a muffin or get confused and think it is a chihuahua? The extent to which we can predict how the model will classify an image given a change input (e.g. Model Visibility.

Machine Learning 85

Machine Learning Modeling Metadata Recreation/Entertainment 85

CIO Business Intelligence

OCTOBER 2, 2024

Smart cities in the age of AI harness AI’s ability to analyze vast data streams, enabling intelligent decision-making and efficient resource management. Raw data collected through IoT devices and networks serves as the foundation for urban intelligence. Then there are advanced connectivity solutions.

IoT 123

IoT Internet of Things Predictive Modeling Data-driven 123

BizAcuity

NOVEMBER 13, 2024

As businesses increasingly rely on data for competitive advantage, understanding how business intelligence consulting services foster data-driven decisions is essential for sustainable growth. Business intelligence consulting services offer expertise and guidance to help organizations harness data effectively.

Consulting 52

Consulting Data-driven Cost-Benefit Business Intelligence 52

CIO Business Intelligence

OCTOBER 4, 2022

In the new report, titled “Digital Transformation, Data Architecture, and Legacy Systems,” researchers defined a range of measures of what they summed up as “data architecture coherence.” more machine learning use casesacross the company.

Machine Learning 118

Machine Learning Data Architecture Uncertainty Data-driven 118

DataRobot

APRIL 27, 2021

With the power of DataRobot , creating AI and machine learning models with your data becomes less of a bottleneck due to the guardrails and transparency from getting from data to value. DataRobot uncovers insights in data that would be impossible for even expert humans to detect.

Machine Learning 98

Machine Learning Cost-Benefit Predictive Modeling Data Science 98

CIO Business Intelligence

APRIL 22, 2022

For most organizations, it is employed to transform data into value in the form of improved revenue, reduced costs, business agility, improved customer experience, the development of new products, and the like. Data science gives the data collected by an organization a purpose. Data science vs. data analytics.

Data Science 140

Data Science Statistics Machine Learning Visualization 140

datapine

JANUARY 31, 2022

To do so, the company started by defining the goals, and finding a way to translate employees’ behavior and experience into data, so as to model against actual outcomes. 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

Domino Data Lab

JANUARY 21, 2021

Producing insights from raw data is a time-consuming process. Predictive modeling efforts rely on dataset profiles , whether consisting of summary statistics or descriptive charts. Results become the basis for understanding the solution space (or, ‘the realm of the possible’) for a given modeling task.

Statistics 106

Statistics Unstructured Data Data Science Visualization 106

CIO Business Intelligence

JULY 17, 2023

“We were able to plot all of our assets and all of our acquired M&A assets into one single map for visualization so we can allow predictive analysis to predict how past weather patterns might impact one region’s stability and predict possible machine failures.” I joined during COVID, and I didn’t have any talent pipeline.

IoT 98

IoT Manufacturing Digital Transformation Sales 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.

Data Analytics 105

Data Analytics Software Analytics Statistics 105

Smarten

NOVEMBER 22, 2019

Data literacy focuses on encouraging and nurturing data competencies and making your team members comfortable with the use of analytical tools, technology solutions and data comprehension and presentation, including a comfort level with data collection and analysis, data sharing and data-driven business decisions.

Predictive Modeling 69

Predictive Modeling Data-driven Forecasting Visualization 69

CIO Business Intelligence

MARCH 19, 2025

However, embedding ESG into an enterprise data strategy doesnt have to start as a C-suite directive. Developers, data architects and data engineers can initiate change at the grassroots level from integrating sustainability metrics into data models to ensuring ESG data integrity and fostering collaboration with sustainability teams.

IT 59

IT Data Governance Data-driven Metrics 59

BI-Survey

NOVEMBER 24, 2020

Automation is accompanied by the use of – and investment in – modern technology and includes potential use cases such as automatic data collection from different data sources, workflows to control processes and process participants and early warning mechanisms based on thresholds.

Forecasting 94

Forecasting Predictive Modeling Statistics Data-driven 94

CIO Business Intelligence

APRIL 25, 2022

It’s a fast growing and lucrative career path, with data scientists reporting an average salary of $122,550 per year , according to Glassdoor. Here are the top 15 data science boot camps to help you launch a career in data science, according to reviews and data collected from Switchup. Data Science Dojo.

Data Science 145

Data Science Machine Learning Deep Learning Statistics 145

Sisense

APRIL 10, 2020

These support a wide array of uses, such as data analysis, manipulation, visualizations, and machine learning (ML) modeling. These libraries are used for data collection, analysis, data mining, visualizations, and ML modeling. Modeling in R and Python. Every library has its own purpose and benefits.

Deep Learning 98

Deep Learning Data Science Machine Learning Visualization 98

IBM Big Data Hub

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

Data Science 76

Data Science Data Analytics Prescriptive Analytics Analytics 76

Domino Data Lab

AUGUST 12, 2021

For data, this refinement includes doing some cleaning and manipulations that provide a better understanding of the information that we are dealing with. In a previous blog , we have covered how Pandas Profiling can supercharge the data exploration required to bring our data into a predictive modelling phase.

Machine Learning 126

Machine Learning Reporting Statistics Visualization 126

CIO Business Intelligence

AUGUST 15, 2023

Shamim Mohammad, CIO, CarMax CarMax That volume created a Sisyphean task for the company’s content writers, as they struggled to provide up-to-date information by make, model, and year for each vehicle in the company’s constantly changing inventory.

IT 98

IT Manufacturing IoT Cost-Benefit 98

Darkhorse

JULY 6, 2017

So what is data wrangling? Let’s imagine the process of building a data lake. Let’s further pretend you’re starting out with the aim of doing a big predictive modeling thing using machine learning. First off, data wrangling is gathering the appropriate data. Can you start modelling now? Share them.

Data Lake 74

Data Lake Sales Machine Learning Visualization 74

DataRobot Blog

DECEMBER 1, 2022

Artificial intelligence (AI) can help improve the response rate on your coupon offers by letting you consider the unique characteristics and wide array of data collected online and offline of each customer and presenting them with the most attractive offers. Training and Testing Different AI Models.

Machine Learning 52

Machine Learning Statistics Marketing Sales 52

Jedox

JULY 23, 2019

These are often not “out of the box” solutions and will require us to spend time learning new skills in process automation, analytics and financial modeling. Once cleansed, its possible to enrich the data. Financial Modeling. Modeling can come in various forms including predictive modeling and data modeling mentioned above.

Technology 52

Technology Forecasting Finance Data-driven 52

IBM Big Data Hub

AUGUST 14, 2023

An exponential boost to your threat detection and investigation efforts To augment your organization’s strained security expertise and resources and increase their impact, QRadar SIEM’s built-in features and add-ons use advanced machine learning models and AI to uncover those hard-to-detect threats and covert user and network behavior.

Cost-Benefit 55

Cost-Benefit Machine Learning Consulting Data mining 55

IBM Big Data Hub

AUGUST 28, 2023

Text mining —also called text data mining—is an advanced discipline within data science that uses natural language processing (NLP) , artificial intelligence (AI) and machine learning models, and data mining techniques to derive pertinent qualitative information from unstructured text data.

Data mining 53

Data mining Machine Learning Deep Learning Marketing 53

Domino Data Lab

AUGUST 20, 2019

Feature engineering is useful for data scientists when assessing tradeoff decisions regarding the impact of their ML models. It is a framework for approaching ML as well as providing techniques for extracting features from raw data that can be used within the models. Feature Engineering Terminology and Motivation.

Testing 68

Testing Modeling Interactive Measurement 68

Alation

APRIL 25, 2023

As firms mature their transformation efforts, applying Artificial Intelligence (AI), machine learning (ML) and Natural Language Processing (NLP) to the data is key to putting it into action quickly and effecitvely. Using bad data, or the incorrect data can generate devastating results. between 2022 and 2029.

Data Governance 52

Data Governance Marketing Machine Learning Sales 52

IBM Big Data Hub

JULY 5, 2023

That data is then fed into AI-enabled CMMS, where advanced data analysis tools and processes like machine learning (ML) spot issues and help resolve them. This information is then used to build predictive models of asset performance over time and help spot potential problems before they arise.

Strategy 52

Strategy Management IoT Cost-Benefit 52

Alation

APRIL 25, 2023

As firms mature their transformation efforts, applying Artificial Intelligence (AI), machine learning (ML) and Natural Language Processing (NLP) to the data is key to putting it into action quickly and effecitvely. Using bad data, or the incorrect data can generate devastating results. between 2022 and 2029.

Data Governance 40

Data Governance Marketing Machine Learning Sales 40

Domino Data Lab

OCTOBER 23, 2019

This chapter will explore the numbers behind the numbers using ML and then creating an API to serve out the ML model. This means covering details like setting up your environment, deployment, and monitoring, in addition to creating models on clean data. Gathering the Data. The lower the RMSE, the better the prediction.

Statistics 59

Statistics Machine Learning Testing Modeling 59

Domino Data Lab

AUGUST 1, 2021

In this article we cover explainability for black-box models and show how to use different methods from the Skater framework to provide insights into the inner workings of a simple credit scoring neural network model. The interest in interpretation of machine learning has been rapidly accelerating in the last decade. See Ribeiro et al.

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

IBM Big Data Hub

FEBRUARY 14, 2024

Other uses include Netflix offering viewing recommendations powered by models that process data sets collected from viewing history; LinkedIn uses ML to filter items in a newsfeed, making employment recommendations and suggestions on who to connect with; and Spotify uses ML models to generate its song recommendations.

Cost-Benefit 82

Cost-Benefit Insurance Machine Learning Unstructured Data 82

IBM Big Data Hub

MARCH 7, 2023

At Innocens BV, the belief is that earlier identification of sepsis-related events in newborns is possible, especially given the vast amount of data points collected from the moment a baby is born. Years’ worth of aggregated data in the NICU could help lead us to a solution.

Risk 52

Risk Technology Informatics Predictive Modeling 52

Jet Global

MAY 9, 2024

Machine Learning Pipelines : These pipelines support the entire lifecycle of a machine learning model, including data ingestion , data preprocessing, model training, evaluation, and deployment. API Data Pipelines : These pipelines retrieve data from various APIs and load it into a database or application for further use.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

Jet Global

MAY 1, 2023

These licensing terms are critical: Perpetual license vs subscription: Subscription is a pay-as-you-go model that provides flexibility as you evaluate a vendor. Pricing model: The pricing scale is dependent on several factors. Let’s just give our customers access to the data. Perpetual, by contrast, is paid up front.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52