BizAcuity

JANUARY 18, 2023

With the rise of Big Data in today’s world, Machine Learning (ML) is popularly used to identify, assess, and monitor financial risks as well as detect various suspicious activities and transactions. How Machine Learning Helps Detect and Prevent AML. Predictive Analytics. Exploratory Data Analysis (EDA).

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

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 this month’s featured article, Eric Siegel, Ph.D.,

Machine Learning 87

Machine Learning Predictive Modeling Predictive Analytics Deep Learning 87

Jedox

MAY 17, 2022

Predictive analytics is a discipline that’s been around in some form since the dawn of measurement. We’ve always been trying to predict the future; go back in history to look at prognosticators like Nostradamus and many other prophets. A Brief History of Predictive Analytics. What is Predictive Analytics?

Predictive Analytics 81

Predictive Analytics Finance Forecasting Analytics 81

IBM Big Data Hub

JULY 6, 2023

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is machine learning? This post will dive deeper into the nuances of each field.

Machine Learning 60

Machine Learning Data Science Statistics Deep Learning 60

CIO Business Intelligence

JANUARY 19, 2024

The exam covers everything from fundamental to advanced data science concepts such as big data best practices, business strategies for data, building cross-organizational support, machine learning, natural language processing, scholastic modeling, and more.

Data Science 126

Data Science Machine Learning Predictive Modeling Experimentation 126

BizAcuity

MARCH 18, 2019

Credit scoring systems and predictive analytics model attempt to quantify uncertainty and provide guidance for identifying, measuring and monitoring risk. Benefits of Predictive Analytics in Unsecured Consumer Loan Industry. Predictive Analytics enhances the Lending Process.

Predictive Analytics 83

Predictive Analytics Analytics Cost-Benefit Data mining 83

Cloudera

OCTOBER 14, 2020

Not many other industries have such a sophisticated business model that encompasses a culture of streamlined supply chains, predictive maintenance, and unwavering customer satisfaction. This data will be used to train the model that can predict how many flights a given engine has until failure. The Process. Conclusion.

Machine Learning 97

Machine Learning Modeling Cost-Benefit Testing 97

Cloudera

JULY 18, 2018

It is fair to say that healthcare faces many challenges, including developing, deploying, and integrating machine learning and artificial intelligence (AI) into clinical workflow and care delivery. Together in tandem with MetiStream, a healthcare analytics software company, Cloudera addresses many of these challenges.

Machine Learning 51

Machine Learning Predictive Analytics Analytics Prescriptive Analytics 51

Smarten

SEPTEMBER 14, 2018

Just Simple, Assisted Predictive Modeling for Every Business User! You can’t get a business loan, join with a business partner, successfully bid on a project, open a new location, hire the right employees or plan for the future without predictive analytics. No Guesswork!

Predictive Modeling 40

Predictive Modeling Business Analytics Modeling Analytics 40

DataRobot Blog

JANUARY 27, 2019

In my previous articles Predictive Model Data Prep: An Art and Science and Data Prep Essentials for Automated Machine Learning, I shared foundational data preparation tips to help you successfully. by Jen Underwood. Read More.

Machine Learning 92

Machine Learning Modeling Predictive Modeling Predictive Analytics 92

Smarten

MARCH 18, 2019

Data Science and Predictive Analytics Made Simple! Imagine a world where data science and predictive analytics tools are created for business users!

Predictive Analytics 40

Predictive Analytics Visualization Software Analytics 40

Smarten

DECEMBER 17, 2018

Tools like Assisted Predictive Modeling allow the average business user to become a Citizen Data Scientist with tools that offer guidance and auto-suggestions to help the user arrive at the outcome they need without being frustrated or having to call in an army of analysts and IT staff to help them complete their analysis.

Predictive Analytics 40

Predictive Analytics Predictive Modeling Analytics Statistics 40

Business Over Broadway

SEPTEMBER 27, 2018

In this paper, I show you how marketers can improve their customer retention efforts by 1) integrating disparate data silos and 2) employing machine learning predictive analytics. Machine Learning and Predictive Modeling of Customer Churn. segmentation on steroids).

Machine Learning 76

Machine Learning Data Integration Marketing Predictive Modeling 76

Decision Management Solutions

MARCH 4, 2019

Machine learning is the scientific study of algorithms and statistical models that computer systems use to effectively perform a specific task without using explicit instructions, relying on models and inference instead. Machine Learning is increasingly widely used to make predictions.

Machine Learning 68

Machine Learning Modeling Statistics Predictive Analytics 68

Smarten

MARCH 7, 2024

Augmented Analytics with ALL Gartner Classified Essential Components AND Auto Insights Too! Instead, the user will simply select the dataset to be analyzed. Users can easily understand data and apply correlation, classification, regression, or forecasting, or other appropriate technique(s) based on the data the user wishes to analyze.

Analytics 67

Analytics Predictive Modeling Machine Learning Visualization 67

CIO Business Intelligence

JULY 5, 2022

What are the benefits of business analytics? Data analytics is used across disciplines to find trends and solve problems using data mining , data cleansing, data transformation, data modeling, and more. What is the difference between business analytics and business intelligence? Business analytics techniques.

Business Analytics 136

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 136

CIO Business Intelligence

JUNE 14, 2023

Candidates are required to complete a minimum of 12 credits, including four required courses: Algorithms for Data Science, Probability and Statistics for Data Science, Machine Learning for Data Science, and Exploratory Data Analysis and Visualization. The exam consists of 40 questions and the candidate has 120 minutes to complete it.

Big Data 126

Big Data Data Analytics Analytics Predictive Modeling 126

CIO Business Intelligence

JUNE 7, 2022

Diagnostic analytics uses data (often generated via descriptive analytics) to discover the factors or reasons for past performance. Predictive analytics applies techniques such as statistical modeling, forecasting, and machine learning to the output of descriptive and diagnostic analytics to make predictions about future outcomes.

Data Analytics 135

Data Analytics Diagnostic Analytics Management Analytics 135

Smart Data Collective

JULY 24, 2023

Modern VMS can harness AI to automate routine tasks, analyze vendor performance, predict future outcomes, and assist in making strategic decisions. For instance, an AI-powered VMS could use machine learning algorithms to predict a vendor’s reliability based on historical data, aiding procurement professionals in decision making.

Management 85

Management Cost-Benefit Data-driven Predictive Analytics 85

Smarten

APRIL 25, 2024

Artificial Intelligence (AI) and Machine Learning (ML) elements support Citizen Data Scientists and help users prepare data, achieve automated data insights and create, share and use predictive models.

Data Quality 62

Data Quality Analytics Machine Learning Visualization 62

IBM Big Data Hub

SEPTEMBER 19, 2023

Overview: Data science vs data analytics Think of data science as the overarching umbrella that covers a wide range of tasks performed to find patterns in large datasets, structure data for use, train machine learning models and develop artificial intelligence (AI) applications.

Data Science 84

Data Science Data Analytics Prescriptive Analytics Analytics 84

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.

Technology 105

Technology Predictive Modeling Predictive Analytics Forecasting 105

Sisense

FEBRUARY 25, 2021

This is where forecasting analytics can be a game-changer in the decision-making process. In a recent webinar , I talked about how one of our customers, a performance theater owner, uses predictive analytics. That makes the data a perfect candidate for predictive analytics driven by vast computational power.

Forecasting 52

Forecasting Analytics Predictive Modeling Machine Learning 52

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. offers many statistics and machine learning abilities.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

Cloudera

DECEMBER 20, 2017

Increasingly, there is enough data and complexity, that we can’t define a model capturing each input and output scenario up front. That’s where machine learning (ML) comes in. With ML, the machine sets the model or learns and builds off a model rather than predetermining the inputs and outputs of each scenario.

Machine Learning 40

Machine Learning Modeling Reporting Statistics 40

IBM Big Data Hub

JUNE 29, 2023

Sensors collect data in real-time that is then fed into an enterprise asset management (EAM) or computerized maintenance management system (CMMS), where AI-enhanced data analysis tools and processes like machine learning (ML) spot issues and help resolve them.

Cost-Benefit 87

Cost-Benefit Measurement Management Predictive Analytics 87

Domino Data Lab

JULY 28, 2021

There are many software packages that allow anyone to build a predictive model, but without expertise in math and statistics, a practitioner runs the risk of creating a faulty, unethical, and even possibly illegal data science application. All models are not made equal. After cleaning, the data is now ready for processing.

Data Science 110

Data Science Statistics Recreation/Entertainment Predictive Analytics 110

Sisense

SEPTEMBER 9, 2019

We knew our journey with predictive analytics and sentiment analysis was going to be a gradual progression that would eventually help us understand and better serve our customers. Then we ran Kraken’s machine learning and predictive modeling engine to get the results. It will be iterative.

Predictive Analytics 75

Predictive Analytics Predictive Modeling Forecasting Data-driven 75

IBM Big Data Hub

DECEMBER 20, 2023

Machine learning (ML) technologies can drive decision-making in virtually all industries, from healthcare to human resources to finance and in myriad use cases, like computer vision , large language models (LLMs), speech recognition, self-driving cars and more. What is machine learning? temperature, salary).

Machine Learning 82

Machine Learning Modeling Deep Learning Predictive Modeling 82

Smarten

JUNE 10, 2022

Predictive Modeling to support business needs, forecast, and test theories. Embedded BI to allow users to sign in to familiar enterprise apps and leverage APIs to integrate analytics within that application for intuitive use. Assisted Predictive Modeling. Anomaly Monitoring and Alerts.

Slice and Dice 52

Slice and Dice Analytics Key Performance Indicator Business Intelligence 52

IBM Big Data Hub

FEBRUARY 14, 2024

Using machine learning (ML), AI can understand what customers are saying as well as their tone—and can direct them to customer service agents when needed. Clean up with predictive maintenance AI can be used for predictive maintenance by analyzing data directly from machinery to identify problems and flag required maintenance.

Cost-Benefit 88

Cost-Benefit Insurance Unstructured Data Machine Learning 88

Birst BI

AUGUST 23, 2018

A key goal of AI or machine learning automation is to have machines complete tasks for you, freeing up time so you can focus on the more complex, higher-value tasks. 1] Until then, we observe in another Gartner survey that organizations are outsourcing various tasks in the Machine Learning pipeline. [2].

Machine Learning 73

Machine Learning Data Science Testing Metrics 73

Smarten

JUNE 17, 2022

The Smarten approach to business intelligence and business analytics focuses on the business user and provides Advanced Data Discovery so users can perform early prototyping and test hypotheses without the skills of a data scientist.

Analytics 67

Analytics IT Business Intelligence Predictive Modeling 67

Jedox

JULY 23, 2019

One of the biggest challenges of automation (Robotic Process Automation) and artificial intelligence/machine learning technologies is our current mindset. AI-based machine learning and predictive analytics will start to give us more powerful crystal balls. Financial Modeling. Crystal ball.

Technology 52

Technology Forecasting Finance Data-driven 52

Smarten

DECEMBER 3, 2023

Why is augmented analytics an important factor in your success? IT consultants, system integrators, ISVs, and resellers can benefit from adding self-serve analytics to their apps and software by offering unique solutions without a significant investment. So, what does all this mean to your business?

Analytics 40

Analytics Cost-Benefit Data Quality Consulting 40

datapine

MARCH 25, 2022

There is not a clear line between business intelligence and analytics, but they are extremely connected and interlaced in their approach towards resolving business issues, providing insights on past and present data, and defining future decisions. A fundamental differentiation factor is in the method each of them uses as a base.

Business Intelligence 264

Business Intelligence Analytics Statistics Dashboards 264

Cloudera

SEPTEMBER 7, 2023

Open-source AI isn’t just quickly catching up to OpenAI, Google, Meta, and Microsoft : mere months after ChatGPT’s debut, open-source AI models are almost as fast, in addition to being more customizable , affordable , and transparent. Push predictive analytics to optimize operations and enhance profitability.

Insurance 79

Insurance Risk Data-driven Modeling 79