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 85

Manufacturing IoT Forecasting Machine Learning 85

CIO Business Intelligence

DECEMBER 1, 2022

PepsiCo’s migration to the cloud has paid off in in many ways, Kanioura says — in speed, flexibility, and agility, reducing on-demand forecasting from weeks to days or hours, and in feeding its supply chain more accurately and frequently. “We billion in revenue.

Digital Transformation 138

Digital Transformation IoT Data-driven KPI 138

CIO Business Intelligence

JUNE 2, 2022

Among the hot technologies, artificial intelligence and machine learning — a subset of AI that that makes more accurate forecasts and analysis as it ingests data — continue to be of high interest as banks keep a strong focus on costs while trying to boost customer experience and revenue. Gartner highlights AI trend in banking.

Predictive Analytics 145

Predictive Analytics Technology Analytics Machine Learning 145

IBM Big Data Hub

JUNE 30, 2023

safety equipment, parts for trucks, and raw materials for infrastructure), weather events, customer demand levels, and logistics can help prevent disruption in operations, too. However, maintenance inventory optimization is only part of the solution. Visibility into other key inventory (e.g.,

Consulting 59

Consulting B2B IoT Optimization 59

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 111

Analytics Digital Transformation Forecasting Risk 111

CIO Business Intelligence

JUNE 22, 2023

There’s a demand for skills around product optimization, customer service management, tracking digital and marketing trends, demand forecasting, data-driven decision making, improving efficiency, lowering costs, and navigating supply-chain management. Average salary: US$121,052 Increase since 2021: +14.4%

IT 120

IT Insurance Recreation/Entertainment Consulting 120

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 137

Machine Learning IoT Optimization Technology 137

Cloudera

JANUARY 20, 2021

Reporting – delivering business enterprise insight (sales analysis and forecasting, market research, budgeting as examples). This story will show how data is collected, enriched, stored, served, and then used to predict events in the car’s manufacturing process using Cloudera Data Platform.

Digital Transformation 110

Digital Transformation Manufacturing Data Warehouse Predictive Analytics 110

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 55

Cost-Benefit IoT Internet of Things Enterprise 55

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

erwin

JUNE 11, 2020

The retail industry has also employed data intelligence in developing tools to better forecast and plan according to supply and demand trends and consumer Key Performance Indicators (KPI). Businesses, both small and large, have made use of dashboards to monitor and illustrate transaction trends and product consumption rates.

Key Performance Indicator 103

Key Performance Indicator KPI Data-driven Machine Learning 103

CIO Business Intelligence

JULY 18, 2023

Flexing to meet wid-ranging needs CIOs’ lists of hard-to-fill roles include not only leading-edge areas like AI, data science, and IoT/edge computing, but also IT mainstays such as application development and legacy technology skills. Similarly, S&P has built an internal tech accelerator program called EssentialTECH.

IT 97

IT Data Science IoT Digital Transformation 97

Ontotext

APRIL 6, 2023

Another important standard in terms of logistics and supply chain management is EPCIS, which is enabled by IoT technologies and provides real-time tracking information. This delivers greater visibility to product movement and tracking events throughout the whole supply chain, for fostering interoperability and transparency.

Manufacturing 83

Manufacturing Cost-Benefit Knowledge Discovery Optimization 83

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

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

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 101

Business Intelligence Predictive Analytics Data Collection Internet of Things 101

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 96

Enterprise Interactive Data-driven Key Performance Indicator 96

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 57

Risk Forecasting Data-driven IoT 57

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 86

Data Architecture Risk Management Risk Management 86

datapine

NOVEMBER 19, 2019

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. Gartner has stated that “artificial intelligence in the form of automated things and augmented intelligence is being used together with IoT, edge computing and digital twins.”

Technology 279

Technology Internet of Things IT IoT 279

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. By building the enterprise-level unified data foundation, unified AI model factory, and unified IoT platform, State Grid Shaanxi can accumulate valuable know-how assets.

Interactive 83

Interactive Uncertainty Data Collection IoT 83

CIO Business Intelligence

JUNE 29, 2022

Traditional analytics focuses on data in databases, but with sensors and IoT devices, you have transient, time-sensitive data that you want to process and take action on almost in real-time. This processing wants to be done close to where the data is ingested, so you’d use Event Hubs to collect the data and pass it to Stream Analytics.

Data Lake 113

Data Lake Analytics Data Warehouse Machine Learning 113

IBM Big Data Hub

JULY 5, 2023

In the IoT era—with everything from valves to vehicles connected by sensors and systems—maintenance operators now have the opportunity to incorporate advanced analytics and artificial intelligence (AI) into everything they do.

Strategy 53

Strategy Management IoT Cost-Benefit 53

CIO Business Intelligence

MAY 24, 2022

Providing a platform for fact-based and actionable management reporting, algorithmic forecasting and digital dashboarding. The Internet of Things (IoT) is a huge contributor of data to this growing volume, iotaComm estimates there are 35 billion IoT devices worldwide and that in 2025 all IoT devices combined will generate 79.4

Data-driven 93

Data-driven Data Lake Data Warehouse Cost-Benefit 93

BizAcuity

JUNE 16, 2022

Edge computing comes as a boon for industries that depend on IoT like logistics and telecommunications. Ericsson believes that the future of IoT has the potential to be limitless. Various forecasts project a growth of over 5 billion IoT devices by 2025. The Future of Cloud Computing: All The Hype. Grid Computing.

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. The global commercial drone market is projected to grow from USD 8.15 billion in 2022 to USD 47.38

Data Collection 77

Data Collection Visualization Data-driven Unstructured Data 77

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. For starters, the rise of the Internet of Things (IoT) has created immense volumes of new data to be analyzed. displaying BI insights for human users).

Modeling 84

Modeling Big Data IoT Data Warehouse 84

IBM Big Data Hub

FEBRUARY 6, 2024

Function-as-a-Service (FaaS) is a subset of SaaS in which application code runs only in response to specific events or requests. According to a Gartner report (link resides outside ibm.com), worldwide end-user spending on public cloud spending is forecasted to total $679 billion and is projected to exceed $1 trillion in 2027.

Cost-Benefit 100

Cost-Benefit Digital Transformation Software Modeling 100

Jet Global

JANUARY 20, 2021

In the normal course of events, business leaders can expect a certain amount of change over the course of time. xP&A enables business leaders to consolidate forecasts and performance metrics from across the entire organization. With xP&A, business leaders can forecast, monitor, and evaluate things holistically.

Finance 52

Finance Metrics Key Performance Indicator Reporting 52

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. These are primarily forward-looking actionable (proactive) applications.

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. They could help in better demand forecasts in the face of volatility.

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. Privacy Policy.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52