Cloudera

APRIL 9, 2021

The third video in the series highlighted Reporting and Data Visualization. Specifically, we’ll focus on training Machine Learning (ML) models to forecast ECC part production demand across all of its factories. Predictive Analytics – AI & machine learning. Serving Data – operational database.

Machine Learning 98

Machine Learning Forecasting Manufacturing Predictive Analytics 98

Cloudera

OCTOBER 26, 2022

?. It’s no secret that advancements like AI and machine learning (ML) can have a major impact on business operations. Cloudera has seen a lot of opportunity to extend even more time saving benefits specifically to data scientists with the debut of Applied Machine Learning Prototypes (AMPs). The answer is a resounding no.

Machine Learning 76

Machine Learning Deep Learning Cost-Benefit Forecasting 76

Smart Data Collective

FEBRUARY 9, 2022

Learn how DirectX visualization can improve your study and assessment of different trading instruments for maximum productivity and profitability. A growing number of traders are using increasingly sophisticated data mining and machine learning tools to develop a competitive edge. But first, What is DirectX Anyway?

Visualization 133

Visualization Optimization Analytics Testing 133

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. Companies are increasingly eager to hire data professionals who can make sense of the wide array of data the business collects.

Data Science 126

Data Science Machine Learning Predictive Modeling Experimentation 126

KDnuggets

JANUARY 5, 2022

3 Tools to Track and Visualize the Execution of Your Python Code; 6 Predictive Models Every Beginner Data Scientist Should Master; What Makes Python An Ideal Programming Language For Startups; Alternative Feature Selection Methods in Machine Learning; Explainable Forecasting and Nowcasting with State-of-the-art Deep Neural Networks and Dynamic Factor (..)

Predictive Modeling 73

Predictive Modeling Visualization Modeling Forecasting 73

The Unofficial Google Data Science Blog

NOVEMBER 17, 2020

On the other hand, sophisticated machine learning models are flexible in their form but not easy to control. Introduction Machine learning models often behave unpredictably, as data scientists would be the first to tell you. A more general approach is to learn a Generalized Additive Model (GAM).

Machine Learning 108

Machine Learning Deep Learning Modeling Interactive 108

Smarten

MARCH 7, 2024

Auto Insights frees business users and reduces the time and skills required to produce accurate, clear results, quickly and dependably, using machine learning that frees the business user to collect and analyze data with the guided assistance of a ‘smart’ solution.

Analytics 67

Analytics Predictive Modeling Machine Learning Visualization 67

CIO Business Intelligence

MAY 12, 2022

The tools include sophisticated pipelines for gathering data from across the enterprise, add layers of statistical analysis and machine learning to make projections about the future, and distill these insights into useful summaries so that business users can act on them. Visual IDE for data pipelines; RPA for rote tasks.

Predictive Analytics 137

Predictive Analytics Analytics Statistics Machine Learning 137

Corinium

JUNE 6, 2019

How can advanced analytics be used to improve the accuracy of forecasting? The use of newer techniques, especially Machine Learning and Deep Learning, including RNNs and LSTMs, have high applicability in time series forecasting. What advances do you see in Visual Analytics in the next five years?

Insurance 250

Insurance Analytics Forecasting Deep Learning 250

Smarten

JANUARY 24, 2019

What is Automated Machine Learning? 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. Take for example, the task of performing predictive analytics.

Machine Learning 40

Machine Learning Predictive Modeling Predictive Analytics Forecasting 40

CIO Business Intelligence

JULY 5, 2022

While quantitative analysis, operational analysis, and data visualizations are key components of business analytics, the goal is to use the insights gained to shape business decisions. It uses data mining, data modeling, and machine learning to answer “why” something happened and predict what might happen in the future.

Business Analytics 131

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 131

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

DataRobot Blog

FEBRUARY 14, 2022

From predicting which customers are likely to churn to forecasting inventory demand, businesses are adopting AI more and more frequently. If data drift is occurring, we may want to consider retraining the deployment on the more recent data so it learns the new patterns. Below we see two visualizations provided as part of Data Drift.

Machine Learning 52

Machine Learning Metrics Sales Modeling 52

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 132

Data Analytics Diagnostic Analytics Management Analytics 132

CIO Business Intelligence

JUNE 14, 2023

Candidates are required to complete a minimum of 12 credits, including four required courses: Algorithms for Data Science, Probability and Statistics for Data Science, Machine Learning for Data Science, and Exploratory Data Analysis and Visualization. Candidates have 90 minutes to complete the exam.

Big Data 126

Big Data Data Analytics Analytics Predictive Modeling 126

Cloudera

JULY 27, 2021

Here in the virtual Fast Forward Lab at Cloudera , we do a lot of experimentation to support our applied machine learning research, and Cloudera Machine Learning product development. We believe the best way to learn what a technology is capable of is to build things with it.

Data Science 115

Data Science Enterprise Experimentation Machine Learning 115

Smart Data Collective

MAY 13, 2022

Most traditional business insight tools are no longer capable of processing and visualizing the growing volumes of complex data coming from various devices, channels, and business systems. AI and machine learning. Before you can have AI-driven apps, you need to train a machine learning model to do the work.

Business Analytics 134

Business Analytics Analytics Unstructured Data Data-driven 134

Data Science 101

FEBRUARY 22, 2020

Amazon Forecast now uses public Holidays from 30 Countries Forecast, which is a time-series forecasting tool, supports holidays from many countries now. This will greatly improve the forecast accuracy as holidays can play a large part in forecasting. This continues a trend of cloud companies working together.

Data Science 103

Data Science Forecasting Data Warehouse Metrics 103

Smarten

MARCH 18, 2019

That world exists today with the evolution of sophisticated, yet easy-to-use tools that include predictive analytics for business users, visual analytics software and tools, and self-serve data preparation.

Predictive Analytics 40

Predictive Analytics Visualization Software Analytics 40

datapine

MARCH 31, 2022

To simplify things, you can think of back-end BI skills as more technical in nature and related to building BI platforms, like online data visualization tools. For example, you could be the one to extract actionable insights from specific retail KPIs that need to be visualized and presented during a meeting. BI developer.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

datapine

NOVEMBER 27, 2019

Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. Companies are no longer wondering if data visualizations improve analyses but what is the best way to tell each data-story. 2) Data Discovery/Visualization. Data exploded and became big.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

datapine

AUGUST 14, 2019

To fully leverage the power of data science, scientists often need to obtain skills in databases, statistical programming tools, and data visualizations. provides the user with visualizations, code editor, and debugging. Let’s get started. Exclusive Bonus Content: Download Our Free Data & Science Checklist! Source: RStudio.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

CIO Business Intelligence

NOVEMBER 14, 2022

Decision intelligence seeks to update and reinvent decision support systems with a sophisticated mix of tools including artificial intelligence (AI) and machine learning (ML) to help automate decision-making. Forecasting models. It features support for creating and visualizing decision tree–driven customer interaction flows.

Data mining 135

Data mining Data-driven Statistics OLAP 135

Cloudera

FEBRUARY 25, 2021

Cloudera has a front-row seat to organizational challenges as those enterprises make Machine Learning a core part of their strategies and businesses. The work of a machine learning model developer is highly complex. Deep Learning for Image Analysis. Build a semantic search application with deep learning models.

Deep Learning 83

Deep Learning Machine Learning Forecasting Visualization 83

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 83

Predictive Analytics Finance Analytics Forecasting 83

CIO Business Intelligence

JULY 20, 2023

From 250 such stores in 2021, the study forecasts the number to touch 12,000 by 2027. From big fashion brands to staples and grocery stores, every retailer is looking to apply algorithms to improve the bottom line, especially in the areas of omnichannel retailing, demand forecasting, and predictive analytics.

Technology 73

Technology Forecasting Advertising Machine Learning 73

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

Cloudera

JANUARY 25, 2022

As roles within organizations evolve (as seen by the growth of citizen scientists and analytics engineers) and as data needs change (think schema changes and real-time), we need more intelligent ways to perform visual exploration, data interrogation, and share insights. Jump start your journey with AMPs. Search your way to insights.

Visualization 89

Visualization Machine Learning Predictive Analytics Data-driven 89

Smarten

FEBRUARY 20, 2024

With its reusable components, drag-and-drop features, visual creation process, and emphasis on digital democracy, opting for low code/no code application development becomes essential. Statista predicts that, ‘… the global low-code platform market is forecast at approximately sixty-five (65) billion USD within the next several years.’

Cost-Benefit 67

Cost-Benefit ROI Business Intelligence Software 67

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. What is self-service analytics? We should probably explain before we move on.

Key Performance Indicator 52

Key Performance Indicator Analytics IT Predictive Analytics 52

FineReport

JULY 18, 2022

For example, if you want the features of data visualization , such as stunning dashboards and rich charts, business intelligence tools are more suitable for you than a pure programming tool. FineBI is a business intelligence tool for self-service big data analysis and data visualization. Finally, the budget can not be ignored.

Forecasting 52

Forecasting Dashboards Visualization Statistics 52

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 130

Business Intelligence Visualization Dashboards Prescriptive Analytics 130

CIO Business Intelligence

OCTOBER 3, 2023

However since then great strides have been made in machine learning and artificial intelligence. Another research company, Mordor Intelligence, is forecasting annual CAGR of 19.8 Robotic process automation (RPA) is a well-established means of automating repetitive business processes implemented in software. trillion by 2026.

Cost-Benefit 114

Cost-Benefit Machine Learning Interactive Software 114

CIO Business Intelligence

MARCH 7, 2023

While digital initiatives and talent are the board directors’ top strategic business priorities in 2023-2024, IT spending is forecasted to grow by only 2.4% Achieving the data visualization or building an ML model without applying data governance best practices introduces risks and grows technical and data debt.

Digital Transformation 145

Digital Transformation Data Governance Experimentation Machine Learning 145

AWS Big Data

OCTOBER 11, 2023

The availability of machine-readable files opens up new possibilities for data analytics, allowing organizations to analyze large amounts of pricing data. Using machine learning (ML) and data visualization tools, these datasets can be transformed into actionable insights that can inform decision-making.

Visualization 99

Visualization Dashboards Data-driven Gap analysis 99

AWS Big Data

FEBRUARY 1, 2023

Furthermore, it created further opportunities for our data scientists and engineers to use AI and machine learning (ML) services to continuously feed and analyze data. You can visually create, run, and monitor extract, transform, and load (ETL) pipelines to load data into your data lakes.

Optimization 52

Optimization Forecasting Data Lake Metadata 52

CIO Business Intelligence

JUNE 30, 2022

But for the past several years, Kohl’s has made a big push to the cloud as part of a “technology modernization” that Gaffney says makes the most of machine learning, personalization, enhanced demographic data sets, and “hyper-localization” insights to deliver the most relevant merchandise to local stores. The power of third-party data.

Data Science 105

Data Science Machine Learning Consulting Recreation/Entertainment 105