Rocket-Powered Data Science

OCTOBER 6, 2023

One could say that sentinel analytics is more like unsupervised machine learning, while precursor analytics is more like supervised machine learning. Broken models are definitely disruptive to analytics applications and business operations.

Business Analytics 157

Business Analytics Prescriptive Analytics Analytics Statistics 157

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

CIO Business Intelligence

APRIL 25, 2022

The data science path you ultimately choose will depend on your skillset and interests, but each career path will require some level of programming, data visualization, statistics, and machine learning knowledge and skills. It offers a bootcamp in data science and machine learning for individuals with experience in Python and coding.

Data Science 145

Data Science Machine Learning Deep Learning Statistics 145

CIO Business Intelligence

JUNE 20, 2022

IoT sensors send elevator data to the cloud platform, where analytics are applied to support business operations, including reporting, data visualization, and predictive modeling. That’s where a lot of the artificial intelligence and machine learning is applied. based company’s elevators smarter.

Internet of Things 105

Internet of Things IoT Manufacturing Machine Learning 105

CIO Business Intelligence

AUGUST 20, 2024

For these cities, fortifying Internet of Things (IoT) sensor and device vulnerabilities to combat cyberthreats is a key concern. This system would serve as a unifying structure for securely integrating new devices while decoupling sensors, cameras, and other IoT components from applications throughout deployment and lifecycle management.

IT 122

IT IoT Internet of Things Optimization 122

CIO Business Intelligence

JUNE 22, 2022

At the same time, 5G adoption accelerates the Internet of Things (IoT). Japan and South Korea are expected to see 150 million IoT connections by 2025 , which will include the manufacturing and logistics sectors.

IoT 98

IoT IT Manufacturing Internet of Things 98

Cloudera

APRIL 27, 2022

At the same time, 5G adoption accelerates the Internet of Things (IoT). Japan and South Korea are expected to see 150 million IoT connections by 2025 , which will include the manufacturing and logistics sectors.

IoT 99

IoT IT Manufacturing Internet of Things 99

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.

Digital Transformation 70

Digital Transformation Machine Learning Optimization Data Lake 70

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

AWS Big Data

MARCH 7, 2023

This post also discusses the art of the possible with newer innovations in AWS services around streaming, machine learning (ML), data sharing, and serverless capabilities. This helps you process real-time sources, IoT data, and data from online channels.

Analytics 96

Analytics Data Warehouse Data Lake Metadata 96

IBM Big Data Hub

AUGUST 22, 2023

It uses real-world data (both real time and historical) combined with engineering, simulation or machine learning (ML) models to enhance operations and support human decision-making. A digital twin is the digital representation of a physical asset.

Unstructured Data 73

Unstructured Data Consulting Visualization IoT 73

Cloudera

APRIL 13, 2021

That’s because CDP has made it possible for them to modernize their legacy data platforms and extend machine learning (ML) and real-time analytics to public cloud, all while gaining cross-functional collaboration across the enterprise. . Here, all of the company’s R&D research, clinical, and third-party data sources are integrated.

Enterprise 78

Enterprise Cost-Benefit Data Warehouse Data Architecture 78

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

IBM Big Data Hub

JUNE 29, 2023

Sensors collect data in real-time that is then fed into an enterprise asset management (EAM) or computerized maintenance management system (CMMS), where AI-enhanced data analysis tools and processes like machine learning (ML) spot issues and help resolve them.

Cost-Benefit 80

Cost-Benefit Measurement Predictive Analytics Management 80

AWS Big Data

NOVEMBER 14, 2023

With data streaming, you can power data lakes running on Amazon Simple Storage Service (Amazon S3), enrich customer experiences via personalization, improve operational efficiency with predictive maintenance of machinery in your factories, and achieve better insights with more accurate machine learning (ML) models.

IoT 59

IoT Data-driven Data Lake Data Strategy 59

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 52

Strategy Management IoT Cost-Benefit 52

Alation

APRIL 14, 2022

They strove to ramp up skills in all manner of predictive modeling, machine learning, AI, or even deep learning. AI/ML models pose a problem with versioning results and testing using unique testing and algorithms.

Metadata 59

Metadata Data Governance Data-driven Modeling 59

FineReport

MARCH 31, 2024

Recognized for its versatility, Power BI excels in data transformation and visualization, incorporating advanced predictive modeling and AI-driven features. Sisense streamlines data analysis through embedded IoT and machine learning, enabling rapid data-to-dashboard transformations.

Dashboards 52

Dashboards Visualization Data mining Data-driven 52

O'Reilly on Data

SEPTEMBER 11, 2019

Machine learning, artificial intelligence, data engineering, and architecture are driving the data space. The Strata Data Conferences helped chronicle the birth of big data, as well as the emergence of data science, streaming, and machine learning (ML) as disruptive phenomena. The model has become a means to an end—i.e.,

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. For example, migrating customer data from an on-premises database to a cloud-based CRM system.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

Jet Global

AUGUST 13, 2024

Artificial intelligence (AI) and machine learning (ML) tools have been around for a while, but ChatGPT brought AI into the mainstream in ways that hadn’t been seen before. 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

MARCH 25, 2025

Zscalers zero trust architecture delivers Zero Trust Everywheresecuring user, workload, and IoT/OT communicationsinfused with comprehensive AI capabilities. Its AI models detect and disrupt advanced threats, blocking millions of attacks daily to enhance enterprise security outcomes and mitigate emerging risks.

Enterprise 110

Enterprise Insurance Data-driven Manufacturing 110