Cloudera

MARCH 2, 2022

Stress testing is a particular area that has become even more important throughout the pandemic. Stress tests conducted by authorities such as the Federal Reserve Bank in the US are designed to keenly monitor the financial stability of the banking sector, especially during economic downturns such as those brought on by the pandemic.

Testing 93

Testing Management Risk Management Forecasting 93

DataRobot Blog

OCTOBER 4, 2022

This has prompted AI/ML model owners to retrain their legacy models using data from the post-COVID era, while adapting to continually fluctuating market trends and thinking creatively about forecasting. Unlocking New Business Opportunities with AI Forecasting. In fact, 87% of organizations struggle with long deployment timelines.

Forecasting 59

Forecasting Sales Data-driven Modeling 59

The Unofficial Google Data Science Blog

DECEMBER 4, 2019

ln this post he describes where and how having “humans in the loop” in forecasting makes sense, and reflects on past failures and successes that have led him to this perspective. Our team does a lot of forecasting. It also owns Google’s internal time series forecasting platform described in an earlier blog post.

Forecasting 113

Forecasting Data Science Statistics Uncertainty 113

David Menninger's Analyst Perspectives

JANUARY 24, 2023

However, manual modeling is a time-consuming process and results in a limited number of models and tests. Developing accurate forecasts requires integrating exogenous data with the internal performance data, but it’s challenging to find quality external data and then get that raw data clean enough to input into any model.

Forecasting 130

Forecasting Analytics Machine Learning Testing 130

Jet Global

APRIL 8, 2021

Many organizations already consider the potential short-term challenges to their tax positions when building forecasts. When tax professionals were asked in a recent insightsoftware webinar to consider the areas of long-term forecasts that most interest them, the results were as follows: Forecasted ETR – 56%.

Forecasting 52

Forecasting Reporting Uncertainty Key Performance Indicator 52

CIO Business Intelligence

APRIL 23, 2024

Once you’ve identified the SAFe training and certification providers that meet your goals, you’ll need to review the materials, study guides, and take any available practice tests. The 45-question exam tests candidates’ ability to: Facilitate Scrum events. Use design thinking to achieve desirable, feasible, and sustainable products.

Consulting 94

Consulting Testing Software Forecasting 94

CIO Business Intelligence

SEPTEMBER 7, 2023

The first is forecasting, where AI is used to make predictions about downstream demand or upstream shortages. In the meantime, many companies continue to reap the benefits of improved forecasting and inspection. Some of the challenges Amcor faces in manufacturing have to do with accurate forecasting and adapting to changing demand.

Management 138

Management Forecasting Manufacturing Cost-Benefit 138

Jen Stirrup

FEBRUARY 9, 2024

For example, India is also using AI to enhance weather forecasting and climate modelling. The Indian government is testing AI-powered climate models to improve weather forecasts across the country [3]. Artificial Intelligence is one way forward to tackling the issues of climate change.

Forecasting 105

Forecasting Measurement Testing Technology 105

CIO Business Intelligence

JANUARY 19, 2024

The US Bureau of Labor Statistics (BLS) forecasts employment of data scientists will grow 35% from 2022 to 2032, with about 17,000 openings projected on average each year. Candidates for the exam are tested on ML, AI solutions, NLP, computer vision, and predictive analytics.

Data Science 126

Data Science Machine Learning Predictive Modeling Experimentation 126

CIO Business Intelligence

FEBRUARY 2, 2024

Predictive AI: This technology is forward-looking, analyzing past data to unearth predictive patterns and then using current data to provide accurate forecasts of what will happen in the future. Processes for governance and testing also don’t need to be completely reinvented.

Testing 142

Testing Risk Forecasting Data-driven 142

CIO Business Intelligence

FEBRUARY 5, 2024

Predictive AI: This technology is forward-looking, analyzing past data to unearth predictive patterns and then using current data to provide accurate forecasts of what will happen in the future. Processes for governance and testing also don’t need to be completely reinvented.

Testing 140

Testing Risk Forecasting Data-driven 140

Corinium

JUNE 6, 2019

Fractal’s recommendation is to take an incremental, test and learn approach to analytics to fully demonstrate the program value before making larger capital investments. It is also important to have a strong test and learn culture to encourage rapid experimentation. Therefore, understanding customers for cross and up-sell is paramount.

Insurance 250

Insurance Analytics Forecasting Deep Learning 250

O'Reilly on Data

JUNE 16, 2020

Even if we believed the forecasts that gave Trump a 10% chance of winning, this is just slightly less likely than seeing three heads in three coin tosses (12.5%), which also would not surprise many people. Forecasters and pollsters are aware of this deep challenge. This may be true, but the downside risk in this case could be fatal.

Uncertainty 273

Uncertainty Testing Risk Reporting 273

Rocket-Powered Data Science

SEPTEMBER 25, 2022

All phases of the MVT process are discussed: strategy, designs, pilot, implementation, test, validation, operations, and monitoring. 2) Streaming sensor data from the IoT (Internet of Things) and IIoT (Industrial IoT) become the source for an IoC (Internet of Context), ultimately delivering Insights-aaS, Context-aaS, and Forecasting-aaS.

Diagnostic Analytics 216

Diagnostic Analytics Prescriptive Analytics Internet of Things IoT 216

Cloudera

JUNE 29, 2023

To ensure the stability of the US financial system, the implementation of advanced liquidity risk models and stress testing using (MI/AI) could potentially serve as a protective measure. Financial institutions can use ML and AI to: Support liquidity monitoring and forecasting in real time.

Data Architecture 84

Data Architecture Risk Management Risk Management 84

datapine

MAY 2, 2023

Your Chance: Want to test a professional logistics analytics software? Your Chance: Want to test a professional logistics analytics software? Domino’s Pizza, for instance, uses operational demand forecasting to deliver on its ‘ 30 minutes or less’ policy – a USP that has cemented the brand’s success in a saturated marketplace.

Big Data 275

Big Data Cost-Benefit Internet of Things Optimization 275

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? This analytical forecasting method is suitable for instances when data is stationary/non stationary and is univariate, with any type of data pattern, i.e., level/trend/seasonality/cyclicity. About Smarten.

Forecasting 40

Forecasting Enterprise IT Sales 40

bridgei2i

JULY 15, 2020

Are you curious about a New-Age Forecasting System that builds and improves your organizations’ ability to sense changes and disrupt the market? Check out our New-Age Demand Forecasting & Planning Whitepaper! Read it Here. Author: Nitin Bhatt & Prabuddha J.

Testing 52

Testing KPI Risk Management Measurement 52

CIO Business Intelligence

JULY 5, 2022

Predictive analytics is the use of techniques such as statistical modeling, forecasting, and machine learning to make predictions about future outcomes. Prescriptive analytics is the application of testing and other techniques to recommend specific solutions that will deliver desired business outcomes. Business analytics salaries.

Business Analytics 131

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 131

DataKitchen

AUGUST 24, 2023

Five Pillars of Data Journeys Data Journey First DataOps The Terms and Conditions of a Data Contract are Data Tests “You Complete Me,” said Data Lineage to Data Journeys.

Data-driven 130

Data-driven Forecasting Metrics Dashboards 130

Smarten

JUNE 27, 2023

One of the most important analytical processes your users will employ is predictive analytics for planning and forecasting. In order to get the most out of a self-serve analytical solution, your team members will leverage many types of tools.

Predictive Analytics 52

Predictive Analytics Analytics Forecasting Testing 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. 2) Double Exponential Smoothing Use Case.

Forecasting 40

Forecasting Enterprise IT Predictive Modeling 40

DataRobot

OCTOBER 19, 2021

Many available forecasts provide less than four weeks notice at the state and county level. Additionally, these forecasts often miss surges in community transmission until it is too late to change course. Traditional predictive models do not account for anomaly detection on data reporting issues (e.g., reporting backlogs).

Forecasting 98

Forecasting Predictive Modeling Optimization Testing 98

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 98

Finance Forecasting IoT Predictive Modeling 98

IBM Big Data Hub

NOVEMBER 10, 2023

Once the review of the organization’s current system, workflow, and everyday functions are assessed it’s time to select the right ERP system that meets your business requirements, such as budget forecasting and pricing. Once loaded into the new system and formatted correctly, your first ERP test can be performed.

Enterprise 118

Enterprise Consulting Testing Cost-Benefit 118

CIO Business Intelligence

MAY 20, 2024

By our estimates , at least 50% if not around 70% of organizations have yet to fully automate their testing and build pipelines. Practices like test-driven development, refactoring, and pair programming give you the exact recipe to start with. How to do agile development right Speeding up release cycles can be surprisingly quick.

Uncertainty 94

Uncertainty Software Testing Forecasting 94

AWS Big Data

FEBRUARY 1, 2023

This enabled the teams to generate the optimal plan to place purchase orders for devices by analyzing the different datasets in near-real time with appropriate business logic to solve the problems of the supply chain, demand, and forecast. This will make launching and testing models simpler.

Optimization 52

Optimization Forecasting Data Lake Metadata 52

Rocket-Powered Data Science

SEPTEMBER 20, 2021

The BI (business intelligence) analysts need to find the right data for their visualization packages, business questions, and decision support tools — they also need the outputs from the data scientists’ models, such as forecasts, alerts, classifications, and more. That’s data democratization. That’s insights democratization.

Data Science 286

Data Science Forecasting Business Intelligence Sales 286

IBM Big Data Hub

FEBRUARY 14, 2024

Based on the IEA forecast, wind electricity generation is expected to more than double to 350 gigawatts (GW) by 2028 3 with China’s renewable energy market increasing 66% in 2023 alone. More precise forecasts help operators integrate more renewable energy technologies into the electricity grid. 5 New Actions to Expand U.S.

Forecasting 52

Forecasting Technology Risk Machine Learning 52

Jet Global

JANUARY 4, 2021

Planners began to integrate functional and departmental plans into their own forecasts. Coronavirus was a frighteningly effective stress test in many ways for organizations’ resilience. Speed was one of the main qualities tested. Planners began tying operational plans and scenario planning together for better forecasts.

Forecasting 98

Forecasting Finance Testing Sales 98

DataRobot

OCTOBER 18, 2021

They designed experiments that tested real-life human behaviors against those expected from economic theory. There is a wealth of research showing again and again that evidence-based algorithms are more accurate than forecasts made by humans. Haggling isn’t the only way that humans don’t behave the way that economic theory suggests.

Forecasting 145

Forecasting Digital Transformation Cost-Benefit Data-driven 145

Smart Data Collective

JANUARY 27, 2021

A number of new predictive analytics algorithms are making it easier to forecast price movements in the cryptocurrency market. Importance of machine learning in forecasting cryptocurrency prices. However, trend forecasting appears to be much more effective at gauging the direction of cryptocurrency prices.

Machine Learning 139

Machine Learning Forecasting Predictive Analytics Marketing 139

AWS Big Data

MARCH 12, 2024

In this post, we provide benchmark results of running increasingly complex data quality rulesets over a predefined test dataset. Dataset details The test dataset contains 104 columns and 1 million rows stored in Parquet format. You can download the dataset or recreate it locally using the Python script provided in the repository.

Data Quality 92

Data Quality Measurement Testing Visualization 92

CIO Business Intelligence

JULY 18, 2023

It was when Nvidia reported strong results for the three months to April 30, 2023, and forecast that its sales could jump by 50% in the following fiscal quarter, that its stock market valuation soared, catapulting it into the exclusive trillion-dollar club alongside well-known tech giants Alphabet, Amazon, Apple, and Microsoft.

Manufacturing 97

Manufacturing Forecasting Software Marketing 97

Smart Data Collective

OCTOBER 8, 2021

Modern machine learning and back-testing; how quant hedge funds use it. Similarly, hedge funds often use modern machine learning and back-testing to analyze their quant models. Here, the models get tested using historical data to evaluate their profitability. Methods of Algo-trading, machine learning tests, back-tests.

Machine Learning 113

Machine Learning Testing Strategy Modeling 113