Cloudera

AUGUST 4, 2021

While both are far superior to traditional Corrective maintenance (action only after a piece of equipment fails), Predictive is by far the most effective. In fact, McKinsey points to a 50% reduction in downtime and a 40% reduction in maintenance costs when using IoT and data analytics to predict and prevent breakdowns.

IoT 98

IoT Unstructured Data Machine Learning Predictive Modeling 98

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 Statistics 157

CIO Business Intelligence

DECEMBER 11, 2023

Going even further, some of the most progressive finance teams are incorporating sensor-based IoT data from plants, factories, and even trucking fleets to prioritize capital expenditures.

Finance 105

Finance Forecasting IoT Predictive Modeling 105

Cloudera

MAY 12, 2021

Use cases could include but are not limited to: predictive maintenance, log data pipeline optimization, connected vehicles, industrial IoT, fraud detection, patient monitoring, network monitoring, and more. DATA FOR ENTERPRISE AI. SECURITY AND GOVERNANCE LEADERSHIP.

Digital Transformation 70

Digital Transformation Machine Learning Optimization Data Lake 70

AWS Big Data

MARCH 7, 2023

They should also provide optimal performance with low or no tuning. It includes business intelligence (BI) users, canned and interactive reports, dashboards, data science workloads, Internet of Things (IoT), web apps, and third-party data consumers. This helps you process real-time sources, IoT data, and data from online channels.

Analytics 96

Analytics Data Warehouse Data Lake Metadata 96

Cloudera

APRIL 27, 2021

They are using that data to optimize operations, troubleshoot operational and customer problems, and understand as much as they can about their customers’ consumption, buying patterns and preferences. The question is how to optimise content for premium pricing, and how to snaffle wireless subscriptions from the main players. .

Recreation/Entertainment 69

Recreation/Entertainment Advertising IoT Predictive Modeling 69

IBM Big Data Hub

AUGUST 22, 2023

Overcome hurdles to optimize digital twin benefits To realize the benefits of a digital twin, you need a data and logic integration layer, as well as role-based presentation. At IBM, we strongly believe that open technologies are the required foundation of the digital twin.

Unstructured Data 73

Unstructured Data Consulting Visualization IoT 73

IBM Big Data Hub

JULY 5, 2023

With a good digital twin, it’s possible to predict how an asset will perform under certain conditions and what it’s projected lifespan will be. Read this blog post to explore how digital twins can help you optimize your asset performance. A sound ALM strategy ensures compliance no matter where data is being stored.

Strategy 52

Strategy Management IoT Cost-Benefit 52

FineReport

JUNE 7, 2024

Innovations such as AI-driven analytics, interactive dashboards , and predictive modeling set these companies apart. Boasting a user-centric approach, Alteryx’s key features include drag-and-drop functionalities and predictive modeling capabilities.

Visualization 52

Visualization Predictive Analytics Dashboards Predictive Modeling 52

CIO Business Intelligence

AUGUST 15, 2023

As part of the hackathon, the IT team sought to achieve three things: to aggregate the company’s data into an enterprise data platform; to build an API that would provide business access to that data; and to develop a machine learning algorithm to provide insights on top of the aggregated IoT data. Anu Khare / Oshkosh Corp.

IT 98

IT Manufacturing IoT Cost-Benefit 98

IBM Big Data Hub

JUNE 29, 2023

Enterprises are constantly looking for new ways to optimize performance, increase reliability and extend asset lifespans—all without adding unnecessary costs. This information is then used to build predictive models of an asset’s performance over time and help spot potential problems before they arise.

Cost-Benefit 80

Cost-Benefit Predictive Analytics Measurement Management 80

AWS Big Data

NOVEMBER 14, 2023

As detailed in our whitepaper on building a modern data streaming architecture on AWS, Kinesis Data Streams serves as the backbone to serverless and real-time use cases such as personalization, real-time insights, Internet of Things (IoT), and event-driven architecture.

IoT 59

IoT Data-driven Data Lake Data Strategy 59

Alation

APRIL 14, 2022

They strove to ramp up skills in all manner of predictive modeling, machine learning, AI, or even deep learning. Governance influences how an organization’s objectives are set and achieved, how risk is monitored and addressed, and how performance is optimized.” It’s not a simple definition.

Metadata 59

Metadata Data Governance Data-driven Modeling 59

FineReport

MARCH 31, 2024

Data-driven Decisions: BI tools empower businesses to make informed decisions by furnishing actionable insights, optimizing operations, and uncovering growth opportunities. Recognized for its versatility, Power BI excels in data transformation and visualization, incorporating advanced predictive modeling and AI-driven features.

Dashboards 52

Dashboards Visualization Data mining Data-driven 52

O'Reilly on Data

SEPTEMBER 11, 2019

Our call for speakers for Strata NY 2019 solicited contributions on the themes of data science and ML; data engineering and architecture; streaming and the Internet of Things (IoT); business analytics and data visualization; and automation, security, and data privacy. If anything, this focus has shifted to the ML or predictive model.

IoT 25

IoT Big Data Data Warehouse Uncertainty 25

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

Jet Global

AUGUST 13, 2024

From workflow automation to process optimization, AI has already revolutionized the way people work today – and we’ve only just begun to scratch the surface of its potential. Demand Forecasting: Machine learning analyzes sales data to predict future demand, leading to better inventory management and resource allocation.

Manufacturing 52

Manufacturing Reporting Optimization Sales 52

CIO Business Intelligence

APRIL 3, 2025

But edge AI computing will liberate AI from data centers and centralized servers in the cloud to manufacturing floors, operating rooms, and throughout municipal centers, processing data in real-time and closer to IoT devices, sensors, and intelligent systems. But its going to take some time for it to evolve.

Manufacturing 76

Manufacturing IoT Digital Transformation Data-driven 76