Cloudera

SEPTEMBER 18, 2020

Supply chain visibility – COVID may accelerate deployment of IoT devices, data, and analytics to improve real-time visibility across the entire supply chain from a ‘track and trace’ perspective. Companies need to be more agile and proactive, able to react quickly to events and data that changes in such short time frames. .

Manufacturing 86

Manufacturing IoT Forecasting Machine Learning 86

Cloudera

AUGUST 3, 2021

Accurate demand forecasting can’t rely upon last year’s data based upon dated consumer preferences, lifestyle and demand patterns that just don’t exist today – the world has changed. The last eighteen months is causing supply chain forecasters to rethink the definition and incorporate risk into the planning process. .

Analytics 109

Analytics Digital Transformation Risk Forecasting 109

CIO Business Intelligence

JUNE 22, 2023

Consulting In the consulting industry, technology has become an important tool for making decisions, designing solutions, improving processes, and providing insights on optimizing business strategy. Technology is a cornerstone to developing movies, video games, live events, music, and television shows.

IT 122

IT Insurance Recreation/Entertainment Consulting 122

Ontotext

APRIL 6, 2023

This allows companies to model and optimize the interactions between the various computers that make a car run, ensuring everything is operating in sync to meet the desired specifications. This can help improve its efficiency, safety and sustainability and enable smart city applications such as traffic management and route optimization.

Manufacturing 83

Manufacturing Cost-Benefit Knowledge Discovery Optimization 83

Smart Data Collective

APRIL 10, 2020

A stronger focus on digitalization in the energy sector, particularly with artificial intelligence, makes it possible to improve the efficiency, productivity and dependability of production plants, which will help compensate for unpredictable natural events. Kaiserwetter offers the Aristotle IoT platform to manage all this.

Machine Learning 138

Machine Learning IoT Optimization Technology 138

erwin

JUNE 11, 2020

The travel industry has found enhanced quality and range of products and services to provide travelers, as well as optimization of travel pricing strategies for future travel offerings. UPS employed the Orion route optimization system and was able to cut down 364 million miles from its routes globally. Enhance customer experience.

Key Performance Indicator 103

Key Performance Indicator KPI Data-driven Machine Learning 103

IBM Big Data Hub

JULY 27, 2023

More recently, these systems have integrated advanced technologies like Internet of Things (IoT), artificial intelligence (AI) and machine learning (ML) to enable predictive analytics and real-time monitoring. Cost control and budgeting : EAM systems provide valuable insights into asset performance as it relates to maintenance costs.

Cost-Benefit 60

Cost-Benefit IoT Internet of Things Enterprise 60

Smart Data Collective

APRIL 20, 2019

Without going further, during my last visit to Mobile World Congress, MWC 2016, The year of IoT and VR, I have distributed dozens of several of my current business cards while my collection has fattened by receiving near a hundred of new cards from old and new friends and colleagues, they write.”.

Big Data 81

Big Data Marketing Predictive Analytics IoT 81

Cloudera

JANUARY 20, 2021

Reporting – delivering business enterprise insight (sales analysis and forecasting, market research, budgeting as examples). Predictive Analytics – predictive analytics based upon AI and machine learning (Fraud detection, predictive maintenance, demand based inventory optimization as examples).

Digital Transformation 110

Digital Transformation Manufacturing Data Warehouse Predictive Analytics 110

IBM Big Data Hub

FEBRUARY 23, 2024

Predictive analytics integrates with NLP, ML and DL to enhance decision-making capabilities, extract insights, and use historical data to forecast future behavior, preferences and trends. ML and DL lie at the core of predictive analytics, enabling models to learn from data, identify patterns and make predictions about future events.

Enterprise 106

Enterprise Interactive Data-driven Key Performance Indicator 106

Jet Global

JUNE 5, 2019

Essentially, data mining is the process of extracting data from different sources (such as retail point of sale software, logistics management tools, and IoT-equipped manufacturing machinery), analyzing it, and summarizing it with reports or dashboards that can help businesses gain insight into their operations.

Data mining 75

Data mining Business Intelligence OLAP Key Performance Indicator 75

Cloudera

SEPTEMBER 11, 2020

demand forecasting) based solely on historical transaction data – really missed the mark. The need to start better leveraging external data, working with broader data sets inclusive of incremental ‘demand signals,’ is no longer a ‘nice to have’ in order to improve forecast accuracy and inventory optimization. Demand-side.

Manufacturing 93

Manufacturing Forecasting Digital Transformation Sales 93

Smart Data Collective

NOVEMBER 25, 2019

New data-collection technologies , like internet of things (IoT) devices, are providing businesses with vast banks of minute-to-minute data unlike anything collected before. Predictive analytics is the use of data and AI-powered algorithms to help analysts forecast the future and better predict business outcomes.

Business Intelligence 102

Business Intelligence Predictive Analytics Data Collection Internet of Things 102

IBM Big Data Hub

MARCH 12, 2024

Extreme weather events can be catastrophic to both people and the environment. Today, utilities are meeting these challenges and risks with innovation by leaning on data and AI to prepare for the next event. Notably, during Winter Storm Elliott, the total load forecast was underestimated by 23,047 MW.

Risk 63

Risk Forecasting Data-driven IoT 63

Cloudera

JUNE 29, 2023

Up your liquidity risk management game Historically, technological limitations made it difficult for financial institutions to accurately forecast and manage liquidity risk. Financial institutions can use ML and AI to: Support liquidity monitoring and forecasting in real time. Apply emerging technology to intraday liquidity management.

Data Architecture 87

Data Architecture Risk Management Risk Management 87

IBM Big Data Hub

JULY 5, 2023

Read this blog post to explore how digital twins can help you optimize your asset performance. Asset lifecycle management best practices The primary objective of asset lifecycle management (ALM) should always be the optimization of assets throughout their lifecycle.

Strategy 57

Strategy Management IoT Cost-Benefit 57

CIO Business Intelligence

APRIL 28, 2024

Grid-based sources, like weather forecasts, can provide accurate weather data to enhance the prediction accuracy of wind, solar, and hydro power generation. We believe that the wireless private network is the optimal solution when wireless spectrum resources are available. We need to build grid-based sources, loads and networks.

Interactive 95

Interactive Uncertainty Data Collection IoT 95

CIO Business Intelligence

JUNE 29, 2022

Insights hidden in your data are essential for optimizing business operations, finetuning your customer experience, and developing new products — or new lines of business, like predictive maintenance. If you can’t make sense of your business data, you’re effectively flying blind. Bonus: Azure Stream Analytics and Azure Time Series Insights.

Data Lake 116

Data Lake Analytics Data Warehouse Machine Learning 116

datapine

NOVEMBER 19, 2019

There are a large number of tools used in AI, including versions of search and mathematical optimization, logic, methods based on probability and economics, and many others. That way, any anomaly is identified with high accuracy, as it learns from historical trends and patterns: every unexpected event will be notified, and an alert sent.

Technology 279

Technology Internet of Things IT IoT 279

BizAcuity

JUNE 16, 2022

Under this model, the strategy is to make use of both private (for highly confidential data) and public cloud infrastructure for cost and performance optimization. Edge computing comes as a boon for industries that depend on IoT like logistics and telecommunications. So as to cut latency and optimize the cloud storage system.

Data-driven 52

Data-driven IoT Data Processing Optimization 52

IBM Big Data Hub

MAY 17, 2023

billion by 2029, at a CAGR of 28.58% in the forecast period. The services are activated through access management for data collection, analysis and event monitoring in existing drones which are managed by clients and businesses. In a nutshell, DaaS provides simplified asset and value optimization. billion in 2022 to USD 47.38

Data Collection 84

Data Collection Visualization Data-driven Unstructured Data 84

IBM Big Data Hub

FEBRUARY 6, 2024

This unified view gives administrators and development teams centralized control over their infrastructure and apps, making it possible to optimize cost, security, availability and resource utilization. Function-as-a-Service (FaaS) is a subset of SaaS in which application code runs only in response to specific events or requests.

Cost-Benefit 109

Cost-Benefit Digital Transformation Software Modeling 109

Sisense

MAY 11, 2021

Let’s say you want to subject a dataset to some form of anomaly detection; your model might take the form of a singular event stream that can be read by an anomaly detection service. Each step of the above is broken out into a separate transformation to optimize for re-usability, performance, and readability.

Modeling 84

Modeling Big Data IoT Data Warehouse 84

Rocket-Powered Data Science

OCTOBER 6, 2023

Decades (at least) of business analytics writings have focused on the power, perspicacity, value, and validity in deploying predictive and prescriptive analytics for business forecasting and optimization, respectively. Another way of saying this is: given some desired optimal outcome Y, what conditions X should we put in place.

Business Analytics 157

Business Analytics Prescriptive Analytics Analytics Diagnostic Analytics 157

Cloudera

JULY 20, 2021

An example from retail: higher fidelity demand forecasting in a large leading global grocery retailer produced a 5% to 7% increase in sales by minimizing out-of-stocks and a 30% to 50% reduction of average out-of-stocks in stores – that’s millions of dollars for most retailers. GDP forecasts keep rising and falling.

Manufacturing 107

Manufacturing Forecasting IoT Insurance 107

bridgei2i

JUNE 11, 2020

And this volatility is immediately mirrored in the demand in the Consumer Goods Products (CPG) industry, making it extremely difficult to predict demand, during uncertain events. BRIDGEi2i’s Digital Campaign Effectiveness WatchTower™ can be used to test various reach out strategies and optimize them.

Digital Transformation 52

Digital Transformation Sales Uncertainty Forecasting 52

datapine

NOVEMBER 27, 2019

That way, any unexpected event will be immediately registered and the system will notify the user. Then, calculations will be run and come back to you with growth/trends/forecast, value driver, key segments correlations, anomalies, and what-if analysis. It’s an extension of data mining which refers only to past data.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Jet Global

MAY 9, 2024

Real-Time Analytics Pipelines : These pipelines process and analyze data in real-time or near-real-time to support decision-making in applications such as fraud detection, monitoring IoT devices, and providing personalized recommendations. As data flows into the pipeline, it is processed in real-time or near-real-time.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52