IBM Big Data Hub

MAY 17, 2024

AI models analyze vast amounts of data quickly and accurately. They can provide valuable insights and forecasts to inform organizational decision-making in omnichannel commerce, enabling businesses to make more informed and data-driven decisions.

B2B 64

B2B Interactive Optimization Forecasting 64

Smart Data Collective

SEPTEMBER 30, 2021

One such example of AI being used for prediction of high impact weather events is the Gradient Boosted Regression Trees (GBRT) algorithm, in which it was found that in 75% of cases, AI-based forecast was chosen over human intuition by professional forecasters. Wildlife Conservation.

Machine Learning 121

Machine Learning Cost-Benefit Optimization Forecasting 121

Smarten

JUNE 20, 2018

In this article, we will focus on the identification and exploration of data patterns and the trends that data reveals. The business can use this information for forecasting and planning, and to test theories and strategies. In this article, we have reviewed and explained the types of trend and pattern analysis.

Forecasting 40

Forecasting Statistics Business Intelligence Predictive Modeling 40

DataRobot Blog

JULY 28, 2022

This article presents a case study of how DataRobot was able to achieve high accuracy and low cost by actually using techniques learned through Data Science Competitions in the process of solving a DataRobot customer’s problem. The R-square, which was less than 0.5 using the conventional method, improved to more than 0.85

Data Science 72

Data Science Machine Learning Statistics Modeling 72

IBM Big Data Hub

JULY 6, 2023

One ride-hailing transportation company uses big data analytics to predict supply and demand, so they can have drivers at the most popular locations in real time. The company also uses data science in forecasting, global intelligence, mapping, pricing and other business decisions.

Machine Learning 54

Machine Learning Data Science Statistics Deep Learning 54

Smarten

JUNE 29, 2018

This article will focus on the Naïve Bayes Classification method of analysis. Weather Forecasting – Based on temperature, humidity, pressure etc., an organization can predict if it will be rainy/sunny/windy tomorrow. a business can predict the likelihood of fraud. What is Naïve Bayes Classification? About Smarten.

Enterprise 40

Enterprise IT Business Intelligence Forecasting 40

Smarten

JUNE 29, 2018

This article describes the analytical technique of multiple linear regression. Multiple linear regression models are useful in helping an enterprise to consider the impact of multiple independent predictors and variables on a dependent variable, and can be beneficial for forecasting and predicting results. About Smarten.

Business Analysis 40

Business Analysis IT Sales Statistics 40

Smarten

JUNE 27, 2018

This article provides a brief explanation of the SVM Classification method of analytics. SVM Classification Analysis can be used for many analytical tasks: Credit/Loan Approval Analysis – Given a list of client transactional attributes, a business can predict whether a client will default on a loan.

Business Analytics 40

Business Analytics Analytics IT Business Intelligence 40

Smarten

JUNE 29, 2018

In this article, we will discuss the KNN Classification method of analysis. Business Benefit: Given the health and body profile of a patient and the recent treatments and drugs prescribed for the patient, the doctor can predict the probability and make recommendations on changes in treatment/drugs. About Smarten.

Enterprise 40

Enterprise Business Intelligence Predictive Modeling Statistics 40

datapine

MARCH 25, 2022

While some experts try to underline that BA focuses, also, on predictive modeling and advanced statistics to evaluate what will happen in the future, BI is more focused on the present moment of data, making the decision based on current insights. Your Chance: Want to extract the maximum potential out of your data?

Business Intelligence 264

Business Intelligence Analytics Statistics Dashboards 264

Smarten

JULY 10, 2018

This article summarizes our recent article series on the definition, meaning and use of the various algorithms and analytical methods and techniques used in predictive analytics for business users, and in augmented data preparation and augmented data discovery tools. Use Case(s): Weather Forecasting, Fraud Analysis and more.

Analytics 40

Analytics Forecasting Statistics Sales 40

IBM Big Data Hub

JULY 5, 2023

In this article, we’ll take a look at some best practices that successful businesses use to care for their assets and extend their useful lives. This information is then used to build predictive models of asset performance over time and help spot potential problems before they arise.

Strategy 53

Strategy Management IoT Cost-Benefit 53

Smarten

JUNE 20, 2023

Citizen Data Scientists Can Use Assisted Predictive Modeling to Create, Share and Collaborate! Gartner has predicted that, ‘40% of data science tasks will be automated, resulting in increased productivity and broader usage by citizen data scientists.’

Predictive Modeling 52

Predictive Modeling Modeling Forecasting Data Science 52

Smarten

JUNE 14, 2019

In this, the last article in our three-article series we discuss Natural Language Processing and how it can benefit a business. This will improve the accuracy of planning and forecasting and allow for a better overall understanding of business results. Part 3 of 3 articles).

Cost-Benefit 40

Cost-Benefit IT Predictive Modeling Business Intelligence 40

Smarten

DECEMBER 5, 2022

In this article, we provide a list with links that will detail some of the many analytical techniques your business users will employ and provide examples of how these techniques can be used to solve problems and identify opportunities with clear, easy techniques and results. ARIMAX Forecasting. ARIMA Forecasting. Naïve Bayes.

Predictive Analytics 52

Predictive Analytics Predictive Modeling Forecasting Testing 52

datapine

NOVEMBER 27, 2019

We detailed the benefits and costs of good or bad quality data in our previous article on data quality management , where you can read the five important pillars to follow. Then, calculations will be run and come back to you with growth/trends/forecast, value driver, key segments correlations, anomalies, and what-if analysis.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Smarten

JANUARY 27, 2023

In this article, we discuss a few of the components and features your team will need to consider in selecting an augmented analytics solution. Predictive Analytics – Your business users should not need to seek the advice of a data scientist to forecast and predict.

Analytics 52

Analytics Business Intelligence Predictive Modeling Predictive Analytics 52

Smarten

JUNE 21, 2018

This article provides a brief explanation of the Holt-Winters Forecasting model and its application in the business environment. What is the Holt-Winters Forecasting Algorithm? The Holt-Winters algorithm is used for forecasting and It is a time-series forecasting method.

Forecasting 40

Forecasting Enterprise IT Predictive Modeling 40

Domino Data Lab

AUGUST 22, 2019

Note These three particular words are called articles , or determiners. GloVe and word2vec differ in their underlying methodology: word2vec uses predictive models, while GloVe is count based. Natural Language Processing.] At the time—in 2014—the three were colleagues working. together at Stanford University.

Deep Learning 111

Deep Learning Modeling Metrics Testing 111

datapine

DECEMBER 4, 2019

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. Predictive analytics is the practice of extracting information from existing data sets in order to forecast future probabilities.

Business Intelligence 212

Business Intelligence Prescriptive Analytics Analytics Predictive Analytics 212

Smarten

DECEMBER 3, 2023

This article will help you gather information about the topic of augmented analytics. Solution capabilities included self-serve data preparation , smart data visualization and predictive analytics for forecasting, etc. Maybe you just want to understand the analytics solution market better.

Key Performance Indicator 52

Key Performance Indicator Analytics IT Predictive Analytics 52

Data Science and Beyond

JANUARY 8, 2017

However, it’s important to remember that all models are wrong (but some models are useful) , and that the lifetime value of active customers is unknowable since it involves forecasting of uncertain quantities. Python and Bayesian ). The documentation on GitHub is quite good, so I won’t repeat it here.

Statistics 100

Statistics Modeling Predictive Modeling Marketing 100

Jet Global

JULY 17, 2023

The column to predict here is the Salary, using other columns in the dataset. If there are missing values in the input columns, we must handle those conditions when creating the predictive model.

Predictive Analytics 52

Predictive Analytics Reporting Software Strategy 52

Jet Global

MAY 1, 2023

Healthcare is forecasted for significant growth in the near future. Head of Sales Priorities Make quota Get an accurate forecast Beat the competition Expand market share Facilitate customer success Connect the Dots Remember that the sales team is on the front lines.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52