Analytics Vidhya

OCTOBER 28, 2022

This article was published as a part of the Data Science Blogathon. Introduction The generalization of machine learning models is the ability of a model to classify or forecast new data. When we train a model on a dataset, and the model is provided with new data absent from the trained set, it may perform […].

Machine Learning 399

Machine Learning Modeling Forecasting Data Science 399

Analytics Vidhya

OCTOBER 28, 2020

This article was published as a part of the Data Science Blogathon. Introduction A popular and widely used statistical method for time series forecasting. The post How to Create an ARIMA Model for Time Series Forecasting in Python appeared first on Analytics Vidhya.

Forecasting 226

Forecasting Modeling Statistics Data Science 226

Analytics Vidhya

OCTOBER 26, 2022

This article was published as a part of the Data Science Blogathon. Introduction source: iPhone Weather App A screen image related to a weather forecast must be a familiar picture to most of us. The AI Model predicting the expected weather predicts a 40% chance of rain today, a 50% chance of Wednesday, and a […].

Machine Learning 315

Machine Learning Modeling Forecasting Data Science 315

Analytics Vidhya

NOVEMBER 30, 2021

This article was published as a part of the Data Science Blogathon. Time series forecast is extensively used in various scenarios like sales, weather, prices, etc…, where the […]. Time series forecast is extensively used in various scenarios like sales, weather, prices, etc…, where the […].

Modeling 334

Modeling Forecasting Sales Data Science 334

Analytics Vidhya

OCTOBER 28, 2021

This article was published as a part of the Data Science Blogathon Introduction In this article, we will cover everything from gathering data to preparing the steps for model training and evaluation. Diverse fields such as sales forecasting and […]. Diverse fields such as sales forecasting and […].

Modeling 271

Modeling Deep Learning Forecasting Sales 271

Analytics Vidhya

FEBRUARY 4, 2021

ArticleVideos This article was published as a part of the Data Science Blogathon. INTRODUCTION Stock prediction is the act of forecasting the future value. The post Modelling stock price using financial ratios and its applications to make buy/sell/hold decisions appeared first on Analytics Vidhya.

Modeling 335

Modeling Forecasting IT Data Science 335

Analytics Vidhya

DECEMBER 3, 2021

This article was published as a part of the Data Science Blogathon. The post Cryptocurrency Price Prediction using ARIMA Model appeared first on Analytics Vidhya. Cryptocurrencies are digital tokens that can easily replace traditional currency in the future. Easy access is the reason they are becoming so popular so fast.

Modeling 353

Modeling Data Science Publishing Technology 353

Analytics Vidhya

AUGUST 9, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction A univariate time series is a series that contains only. The post Developing Vector AutoRegressive Model in Python! appeared first on Analytics Vidhya.

Modeling 284

Modeling Data Science Publishing Analytics 284

Analytics Vidhya

JULY 12, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Often wondered if we could know what would the price. The post Introduction to Time series Modeling With -ARIMA appeared first on Analytics Vidhya.

Modeling 296

Modeling Data Science Publishing Analytics 296

Analytics Vidhya

NOVEMBER 1, 2021

This article was published as a part of the Data Science Blogathon Introduction In this article, we will cover everything from gathering data to preparing the steps for model training and evaluation. Diverse fields such as sales forecasting and […].

Deep Learning 306

Deep Learning Forecasting Sales Data Science 306

Analytics Vidhya

SEPTEMBER 6, 2021

This article was published as a part of the Data Science Blogathon Introduction: Artificial Neural Networks (ANN) are algorithms based on brain function and are used to model complicated patterns and forecast issues.

Deep Learning 305

Deep Learning Forecasting Data Science Publishing 305

Smart Data Collective

JANUARY 14, 2021

In 2019, Forbes published an article showing that machine learning can increase productivity of the financial services industry by $140 billion. A lot of experts have talked about the benefits of using predictive analytics technology to forecast the future prices of various financial assets , especially stocks.

Predictive Analytics 82

Predictive Analytics Forecasting Analytics Machine Learning 82

Rocket-Powered Data Science

SEPTEMBER 25, 2022

I was asked by the publisher to provide an editorial review of the book “Building Industrial Digital Twins: Design, develop, and deploy digital twin solutions for real-world industries using Azure Digital Twins“, by Shyam Varan Nath and Pieter van Schalkwyk. For this, I received a complimentary copy of the book and no other compensation.

Diagnostic Analytics 214

Diagnostic Analytics Prescriptive Analytics Internet of Things IoT 214

DataRobot Blog

DECEMBER 6, 2022

Other organizations are just discovering how to apply AI to accelerate experimentation time frames and find the best models to produce results. Taking a Multi-Tiered Approach to Model Risk Management. Forecast Time Series at Scale with Google BigQuery and DataRobot. Data scientists are in demand: the U.S. Read the blog.

Experimentation 145

Experimentation Forecasting Data-driven Machine Learning 145

CIO Business Intelligence

FEBRUARY 10, 2023

Predictive analytics definition Predictive analytics is a category of data analytics aimed at making predictions about future outcomes based on historical data and analytics techniques such as statistical modeling and machine learning. billion in 2022, according to a research study published by The Insight Partners in August 2022.

Predictive Analytics 145

Predictive Analytics Analytics Predictive Modeling Forecasting 145

CIO Business Intelligence

NOVEMBER 29, 2022

As part of the announcement, the company said that it was making the forecasting, capacity planning, scheduling and Contact Lens feature of Amazon Connect generally available while introducing two new features in preview. c (Sydney), and Europe (London) Regions. ows and step-by-step guides for your agents,” the company said in a statement.

Machine Learning 111

Machine Learning Forecasting Recreation/Entertainment Metrics 111

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. Conversely, if predictive analytics models suggest that the value of a cryptocurrency price is likely to decrease, more investors are likely to sell off their cryptocurrency holdings.

Machine Learning 139

Machine Learning Forecasting Predictive Analytics Marketing 139

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

SEPTEMBER 1, 2023

Sun has a PhD from MIT and continued to publish academic research papers during his time at Microsoft, in addition to teaching at Seattle and Washington universities. In a recent blog post, Sun described how Microsoft researchers conducted experiments to compare the performance of different AI models for use in Dynamics 365.

IT 105

IT Reporting Forecasting Data Quality 105

Jedox

MAY 17, 2022

What Predictive Analytics Cannot Forecast. From the opening of Lloyd’s Coffee House in 1686, financial services professionals have been attempting to forecast what’s going to happen next. Whether or not the results of such forecasts beat random chance is highly dependent on the subject matter expert’s skills.

Predictive Analytics 81

Predictive Analytics Finance Forecasting Analytics 81

CIO Business Intelligence

JANUARY 25, 2024

A developer creating an AI app can’t assume their company has unlimited access to the datasets of commercial large language models. We need people with a natural affinity for statistics, data patterns, and forecasting,” she says. “If A version of this story originally published on The Works. I consider it more of a marathon.

Deep Learning 115

Deep Learning Cost-Benefit Statistics Manufacturing 115

CIO Business Intelligence

APRIL 26, 2023

The SAP Innovation Awards celebrate customers and partners who are exploring new ideas and business models to deliver real-world innovation: Empowering Women-Owned Businesses : WEConnect International helps women-owned organizations gain access to over US$3 billion in global purchasing power.

Digital Transformation 98

Digital Transformation Forecasting Data-driven Optimization 98

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 98

Manufacturing Forecasting Software Marketing 98

Smart Data Collective

AUGUST 31, 2020

Predictive analytics models have proven to be remarkably effective with the stock futures market. One company that uses big data to forecast stock prices has found that its algorithms outperform similar forecasts by 26%. They build complex machine learning models that rely on numerous pieces of information.

Big Data 91

Big Data Forecasting Machine Learning Marketing 91

Smart Data Collective

MAY 1, 2022

Joanne Sammer, an author with Better Workplace Better World published an article on the use of AI in making pay decisions. One of the ways companies like IBM are using machine learning in employee compensation models is by using ongoing feedback rather than making pay decisions based on periodic reviews.

Machine Learning 119

Machine Learning Management Cost-Benefit Insurance 119

Jedox

APRIL 21, 2020

Swift changes are forcing management to rethink operating models. This requires modeling, not casual empiricism. Scenario modeling can pinpoint potential opportunities so management can start planning today and understand drivers for change – both in their own and parallel markets. Many businesses are unprepared.

Uncertainty 52

Uncertainty Modeling Management Finance 52

IBM Big Data Hub

AUGUST 7, 2023

This article, part of the IBM and Pfizer’s series on the application of AI techniques to improve clinical trial performance, focuses on enrollment and real-time forecasting. This is in line with existing sector benchmarks. To do so they require data, which is in no shortage.

Optimization 62

Optimization Forecasting Data-driven Strategy 62

Jedox

SEPTEMBER 3, 2020

Many pre-crisis business assumptions and planning models became outmoded overnight. The room for poor assumptions and missed forecasts shrank. Using these drivers as an overlay to stress-test models add robustness to forecasting and can identify exposure and risks to long-term stability.

Uncertainty 81

Uncertainty Forecasting Digital Transformation Risk 81

Andrew White

MAY 2, 2022

The article was published in the Economist, April 16th, 2022: Tracking ships at sea can help catch sanction-busters. . At that time many organizations found that their models and forecasting tools, all using historical data, were blown to bits. Wide data is a hot area that emerged during the Covid-19 change.

Insurance 59

Insurance Forecasting Software Publishing 59

Smart Data Collective

JUNE 4, 2021

Data scientists use algorithms for creating data models. These data models predict outcomes of new data. Programming knowledge is needed for the typical tasks of transforming data, creating graphs, and creating data models. Machine learning is the science of building models automatically. Where to start? Ensembling.

Data Science 104

Data Science Statistics Deep Learning Machine Learning 104

Cloudera

JANUARY 30, 2024

Demand forecasting: AI can be used to forecast demand for products based on historical data, trends, and external factors such as weather, holidays, seasonality, and market conditions. While outcomes within industry segments will vary, the potential is huge.

Manufacturing 77

Manufacturing Contextual Data IoT Digital Transformation 77

Smart Data Collective

NOVEMBER 24, 2020

In the future of business intelligence, it will also be more common to break data-based forecasts into actionable steps to achieve the best strategy of business development. In the future of business intelligence, eliminating waste will be easier thanks to better statistics, timely reporting on defects and improved forecasts.

Business Intelligence 131

Business Intelligence Visualization Dashboards Prescriptive Analytics 131

DataRobot Blog

AUGUST 10, 2022

Snowflake provides a state-of the-art data platform for collating and analysing workforce data, and with the combined addition of DataRobot Solution Accelerator models, trusts can have predictive models running with little experimentation — further accelerated by the wide range of supportive datasets available through the Snowflake Marketplace.

Forecasting 52

Forecasting Experimentation Data-driven Risk 52

AWS Big Data

MARCH 21, 2024

You also need longer-term access to this data for machine learning (ML) models to run predictive maintenance assessments, find optimization opportunities, and forecast demand. to continuously generate random data and publish it to the specified Kafka topic: python kafkaDataGen.py You can use the same data to train ML models.

Data Lake 92

Data Lake Management Modeling Optimization 92

Jedox

JUNE 25, 2020

Forecasts are unreliable and quickly become outdated due to rapid changes and complexity of markets. For this, modern planning software together with artificial intelligence-based (AI-based) predictive analytics can provide important support by evaluating historical data to derive forecasts for further development.

Technology 93

Technology Finance Cost-Benefit Forecasting 93

Cloudera

FEBRUARY 25, 2021

AMPs move the starting line for any ML project by enabling data scientists to start with a full end-to-end project developed for a similar use case, including a trained and deployed ML model, as well as prebuilt predictive business applications, out of the box. The work of a machine learning model developer is highly complex.

Deep Learning 81

Deep Learning Machine Learning Forecasting Visualization 81

Smart Data Collective

APRIL 10, 2020

Machine learning is helping companies in every sector optimize their business models. Back in 1994, the International Electrical and Electronics Engineering organization published a whitepaper on the benefits of machine learning to address accounting issues. However, it has been used in accounting systems for nearly three decades.

Machine Learning 112

Machine Learning Cost-Benefit Big Data Forecasting 112