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

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 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

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 80

Data Science Data Analytics Prescriptive Analytics Analytics 80

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

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

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

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 Reporting Modeling 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. appeared first on IBM Blog.

Cost-Benefit 84

Cost-Benefit Measurement Management Predictive Analytics 84

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

MAY 17, 2024

Use case 1: AI for modernization and business model expansion AI-powered tools can be incredibly valuable in optimizing and modernizing business operations throughout the customer journey, but it is critical in the commerce continuum.  The applications of AI in commerce are vast and varied.

B2B 67

B2B Interactive Optimization Forecasting 67

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 85

Cost-Benefit Insurance Unstructured Data Machine Learning 85

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 77

Machine Learning Modeling Deep Learning Predictive Modeling 77

Jedox

JULY 23, 2019

If you are still skeptical, have a look at a few blogs written by Lance Rubin where he disrupted his own role. One of the biggest challenges of automation (Robotic Process Automation) and artificial intelligence/machine learning technologies is our current mindset. Financial Modeling. Crystal ball.

Technology 52

Technology Forecasting Finance Data-driven 52

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

Smarten

MAY 13, 2024

Incorporate PMML Integration Within Augmented Analytics to Easily Manage Predictive Models! You may not be an analytics expert and you may find terms like PMML Integration somewhat daunting. PMML is Predictive Model Markup Language. Support of REST-API for third-party apps for predictions.

Predictive Modeling 62

Predictive Modeling Data mining Modeling Predictive Analytics 62

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 78

Insurance Risk Data-driven Finance 78

datapine

JANUARY 31, 2022

5) Find improvement opportunities through predictions. The fifth benefit of implementing business intelligence and data analytics into your company is the use of predictive analytics. A great way to illustrate the operational benefits of business intelligence. A great use case of this benefit is Uber.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

Cloudera

JANUARY 25, 2022

Dashboards often look in the rearview mirror, focusing on historical data and not on future insights – ie, predictive analytics. . The explosion of new and more accessible ML tooling means there’s never been a better time to take the leap into predictive analytics than right now. .

Visualization 87

Visualization Machine Learning Predictive Analytics Data-driven 87

DataRobot

JANUARY 20, 2022

. — Snowflake and DataRobot AI Cloud Platform is built around the need to enable secure and efficient data sharing, the integration of disparate data sources, and the enablement of intuitive operational and clinical predictive analytics. Learn More About the Snowflake and DataRobot Partnership. Technology Alliance.

Data-driven 145

Data-driven Experimentation Modeling Predictive Modeling 145

datapine

NOVEMBER 27, 2019

Often seen as the highest foe-friend of the human race in movies ( Skynet in Terminator, The Machines of Matrix or the Master Control Program of Tron), AI is not yet on the verge to destroy us, in spite the legit warnings of some reputed scientists and tech-entrepreneurs. Industries harness predictive analytics in different ways.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

datapine

DECEMBER 4, 2019

Predictive & Prescriptive Analytics. Predictive Analytics: What could happen? We mentioned predictive analytics in our business intelligence trends article and we will stress it here as well since we find it extremely important for 2020. Approaches need to take this dynamic nature into mind.

Business Intelligence 212

Business Intelligence Prescriptive Analytics Analytics Predictive Analytics 212

Smarten

JULY 26, 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.

Key Performance Indicator 74

Key Performance Indicator Analytics Business Intelligence Dashboards 74

Smarten

APRIL 19, 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.

Slice and Dice 57

Slice and Dice Business Intelligence Advertising Predictive Modeling 57

Smarten

DECEMBER 3, 2023

‘Augmented analytics is the use of enabling technologies such as machine learning and AI to assist with data preparation, insight generation and insight explanation to augment how people explore and analyze data in analytics and BI platforms. Augmented Analytics vs Predictive Analytics is not really a question.

Key Performance Indicator 52

Key Performance Indicator Analytics IT Predictive Analytics 52

Smarten

OCTOBER 31, 2022

Augmented analytics that is designed with sophisticated features for use by team members, IT, data scientists and others, provides many advanced features and enables improved data literacy and data democratization across the enterprise. Clickless Analytics with Natural Language Processing (NLP) and easy ‘Google-type’ searches and queries.

Key Performance Indicator 67

Key Performance Indicator Analytics Cost-Benefit Predictive Modeling 67