DataRobot Blog

DECEMBER 15, 2022

AI-powered Time Series Forecasting may be the most powerful aspect of machine learning available today. Working from datasets you already have, a Time Series Forecasting model can help you better understand seasonality and cyclical behavior and make future-facing decisions, such as reducing inventory or staff planning.

Forecasting 81

Forecasting Modeling ROI Machine Learning 81

CIO Business Intelligence

JUNE 14, 2023

Organization: AWS Price: US$300 How to prepare: Amazon offers free exam guides, sample questions, practice tests, and digital training. The exam tests general knowledge of the platform and applies to multiple roles, including administrator, developer, data analyst, data engineer, data scientist, and system architect.

Big Data 126

Big Data Data Analytics Analytics Predictive Modeling 126

CIO Business Intelligence

JUNE 7, 2022

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. In business, predictive analytics uses machine learning, business rules, and algorithms.

Data Analytics 135

Data Analytics Diagnostic Analytics Management Analytics 135

CIO Business Intelligence

DECEMBER 11, 2023

For example, by tapping into real-time data with AI-enabled analytics, CFOs will be able to develop multiple scenarios for capital allocation, offering more forward-looking projections and more accurate forecasts.

Finance 105

Finance Forecasting IoT Predictive Modeling 105

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

DataRobot

JANUARY 20, 2022

The UK’s National Health Service (NHS) will be legally organized into Integrated Care Systems from April 1, 2022, and this convergence sets a mandate for an acceleration of data integration, intelligence creation, and forecasting across regions. Public sector data sharing. . Grasping the digital opportunity.

Data-driven 145

Data-driven Experimentation Predictive Modeling Data Warehouse 145

Smarten

JULY 23, 2019

What is predictive analytics? Put simply, predictive analytics is a method used to forecast and predict the future results and needs of an organization using historical data and a comprehensive set of data from across and outside the enterprise.

Modeling 63

Modeling Predictive Analytics Predictive Modeling IT 63

Smarten

MAY 31, 2022

The technology research firm, Gartner has predicted that, ‘predictive and prescriptive analytics will attract 40% of net new enterprise investment in the overall business intelligence and analytics market.’ Forecasting. Hypothesis Testing. Access to Flexible, Intuitive Predictive Modeling. Classification.

Predictive Analytics 67

Predictive Analytics Analytics Predictive Modeling Prescriptive Analytics 67

Smarten

NOVEMBER 26, 2018

Predictive Analytics used to involve a crystal ball but, today, there are other options and they are more widely accepted in the business community! And, with Assisted Predictive Modeling , your business users can leverage sophisticated tools, algorithms and techniques in a simple, intuitive environment to predict future results.

Predictive Analytics 58

Predictive Analytics Predictive Modeling Analytics Forecasting 58

Smarten

JUNE 29, 2018

This article looks at the ARIMAX Forecasting method of analysis and how it can be used for business analysis. What is ARIMAX Forecasting? This method is suitable for forecasting when data is stationary/non stationary, and multivariate with any type of data pattern, i.e., level/trend /seasonality/cyclicity. About Smarten.

Forecasting 40

Forecasting Enterprise IT Business Intelligence 40

Smarten

JUNE 26, 2018

This article provides a brief explanation of the ARIMA method of analytical forecasting. What is ARIMA Forecasting? Autoregressive Integrated Moving Average (ARIMA) predicts future values of a time series using a linear combination of its past values and a series of errors. p: to apply autoregressive model on series.

Forecasting 40

Forecasting Enterprise IT Sales 40

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. 2) Double Exponential Smoothing Use Case.

Forecasting 40

Forecasting Enterprise IT Predictive Modeling 40

IBM Big Data Hub

APRIL 28, 2022

To truly understand the data fabric’s value, let’s look at a retail supply chain use case where a data scientist wants to predict product back orders so that they can maintain optimal inventory levels and prevent customer churn. How does a data fabric impact the bottom line?

Data Warehouse 77

Data Warehouse Metadata Forecasting Predictive Modeling 77

Smarten

APRIL 10, 2023

Investment in predictive analytics benefits everyone in the organization, including business users and team members, data scientists and the organization in general. Predictive analytics provides support for data-driven, fact-based decisions and enables insight, perspective and clarity for improved business agility and efficiency.

Predictive Analytics 52

Predictive Analytics Predictive Modeling Analytics Prescriptive Analytics 52

CIO Business Intelligence

MAY 14, 2024

As we are testing and dipping our toes in the water with AI, we are choosing to keep that as private as possible,” he says, noting that the public cloud has the horsepower needed for many LLMs of today but his company has the option of adding GPUs if needed via its privately owned Dell equipment. billion in 2024, and more than double by 2027.

IT 143

IT Data Processing Enterprise Modeling 143

Smarten

DECEMBER 5, 2022

Self-serve assisted predictive modeling provides recommendations and suggestions based on data volume, type and other parameters, so users will be directed to the appropriate analytical techniques and receive clear, concise results that are easy to understand and apply for confident decisions. Paired Sample T Test.

Predictive Analytics 52

Predictive Analytics Predictive Modeling Forecasting Testing 52

Smarten

JANUARY 21, 2019

Time Series Forecasting. Holt-Winters Forecasting. ARIMA Forecasting. Chi Square Test. ARIMAX Forecasting. Paired Sample T Test. Dependent Sample T-Test. Independent Samples T Test. Discover how easy it is to capitalize on Augmented Analytics and Predictive Modeling !

Analytics 40

Analytics Predictive Modeling Forecasting Testing 40

CIO Business Intelligence

MARCH 19, 2025

Predictive modeling can help companies optimize energy consumption, while AI-driven insights can identify supply chain inefficiencies that lead to excessive waste. For example, retailers are leveraging AI-powered demand forecasting to reduce overproduction and excess inventory, significantly cutting down carbon emissions and waste.

IT 59

IT Data Governance Data-driven Metrics 59

Smarten

APRIL 17, 2018

How Can Assistive Predictive Modeling Help My Business Users? If you are wondering how and why predictive analytics software has expanded into the self-serve business user market, the reason is simple. Assisted Predictive Modeling can help your business achieve its goals.

Predictive Analytics 40

Predictive Analytics Predictive Modeling Analytics Forecasting 40

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. Predictive analytics will help you optimize your marketing budget and improve brand loyalty. Predictive Analytics Using External Data. Customer Targeting.

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Predictive Analytics Marketing Analytics Predictive Modeling 51

Smarten

SEPTEMBER 26, 2018

How Can My Business Use Assisted Predictive Modeling to Optimize Resources? There was a time, not so long ago, when predictive analysis, business forecasting and planning for results involved guesswork and lots of unscientific review of historical data.

Predictive Modeling 40

Predictive Modeling Predictive Analytics Forecasting Optimization 40

DataRobot

JUNE 4, 2021

When integrated with your primary dataset, often the new features from these third-party data sources can significantly improve the predictive signal and overall accuracy of the machine learning model in development. Forecasting In-Store Foot Traffic. Here, we have a model that predicts foot traffic for a chain of coffee shops.

Forecasting 52

Forecasting Machine Learning Predictive Modeling Modeling 52

Smarten

AUGUST 21, 2019

Assisted Predictive Modeling – These tools enable the average business user to leverage sophisticated predictive algorithms without requiring statistical or data science skills. Users can highlight trends and patterns, test hypotheses and theories to reduce business risk, and easily predict and forecast results.

Analytics 51

Analytics Predictive Modeling Visualization Statistics 51

Birst BI

AUGUST 23, 2018

For example, there are a plethora of software tools available to automatically develop predictive models from relational data, and according to Gartner, “By 2020, more than 40% of data science tasks will be automated, resulting in increased productivity and broader usage by citizen data scientists.” [1]

Machine Learning 73

Machine Learning Data Science Testing Metrics 73

Cloudera

JANUARY 25, 2022

Instead of starting from scratch, Applied ML Prototypes (AMPs ) provides pre-built templates of many commonly used machine learning techniques such as time series forecasting, churn modeling, and anomaly detection. This blueprint the AMP provides can be used to modify any aspect of the project including the model.

Visualization 91

Visualization Machine Learning Predictive Analytics Data-driven 91

IBM Big Data Hub

SEPTEMBER 19, 2023

For example, retailers can predict which stores are most likely to sell out of a particular kind of product. Healthcare systems can also forecast which regions will experience a rise in flu cases or other infections. Prescriptive analytics: Prescriptive analytics predicts likely outcomes and makes decision recommendations.

Data Science 76

Data Science Data Analytics Prescriptive Analytics Analytics 76

Smarten

JANUARY 24, 2019

With the right tools, today’s average business user can become a Citizen Data Scientist , using data integrated from various sources to learn, test theories and make decisions. AutoML comes into play as business users leverage systems and solutions that are designed with Machine Learning capabilities to predict outcomes and analyze data.

Machine Learning 40

Machine Learning Predictive Modeling Predictive Analytics Forecasting 40

DataRobot

NOVEMBER 15, 2021

DataRobot and Palantir have partnered to create a custom framework that will empower retailers and manufacturing companies to take on a more nimble strategy to demand forecasting, eliminating the time and resources spent on manual data cleansing and one-off manual modeling. DataRobot & Palantir Foundry Demand Forecasting Solution.

Manufacturing 52

Manufacturing Forecasting Machine Learning Data-driven 52

DataRobot Blog

JUNE 24, 2022

In addition, traditional analytical approaches are not flexible enough in generating alternative scenarios that allow investment analysts to test market shifts or to compare predictive-model outputs to the forecasts of traditional sources of market information. Forecasting the Real Estate Market Using DataRobot.

Forecasting 52

Forecasting Machine Learning Marketing Data-driven 52

Smarten

JANUARY 31, 2019

Put simply, business Intelligence uses historical data to reveal where the business has been, and managers can use this data to predict competitive response and discover what is changing in customer buying behavior and in sales. How is Advanced Analytics Different from Business Intelligence?

Business Intelligence 40

Business Intelligence Analytics Predictive Modeling Forecasting 40

Smarten

MAY 2, 2019

An Advanced Analytics Platform should include self-serve data preparation, smart data visualization and assisted predictive modeling with natural language processing and machine learning that will support users with simple search analytics.

Analytics 0

Analytics Predictive Analytics Predictive Modeling Forecasting 0

Smarten

JUNE 20, 2018

The business can use this information for forecasting and planning, and to test theories and strategies. For example, the decision to the ARIMA or Holt-Winter time series forecasting method for a particular dataset will depend on the trends and patterns within that dataset.

Forecasting 40

Forecasting Statistics Business Intelligence Predictive Modeling 40

Smarten

JULY 10, 2018

Use Case(s): Weather Forecasting, Fraud Analysis and more. Independent Samples T Test: What is the Independent Samples T Test Method of Analysis and How Can it Benefit an Organization? Paired Sample T Test: What is the Paired Sample T Test and How is it Beneficial to Business Analysis?

Analytics 40

Analytics Forecasting Statistics Sales 40

Smarten

JUNE 10, 2022

Predictive Modeling to support business needs, forecast, and test theories. Assisted Predictive Modeling. Users can apply predictive analytics to any use case using forecasting, regression, classification, clustering and other algorithms.

Analytics 52

Analytics Slice and Dice Key Performance Indicator Business Intelligence 52

Smarten

DECEMBER 3, 2023

Solution capabilities included self-serve data preparation , smart data visualization and predictive analytics for forecasting, etc. Augmented Analytics Explained : As self-serve augmented analytics began to evolve, new tools and techniques were added, and business users now enjoy the expanded capabilities of predictive analytics.

Key Performance Indicator 52

Key Performance Indicator Analytics IT Predictive Analytics 52

Smarten

JULY 3, 2017

Advanced Data Discovery allows business users to perform early prototyping and to test hypothesis without the skills of a data scientist. Tools like plug n’ play predictive analysis and smart data visualization ensure data democratization and drastically reduce the time and cost of analysis and experimentation. Yay or Nay?

Visualization 40

Visualization Predictive Modeling Business Intelligence Experimentation 40

Cloudera

SEPTEMBER 7, 2023

Formalize ethics and bias testing. Develop and implement automated tests to identify biases in AI models, ensuring that models align with ethical standards and fairness criteria. Robust security mechanisms, such as IAM and RBAC, ensure that only authorized individuals can access sensitive AI models and data.

Insurance 83

Insurance Risk Data-driven Finance 83