Smart Data Collective

MARCH 23, 2022

So many smart devices have started to connect and communicate over the internet, that the term Internet of Things (IoT) has been coined to describe these “network-aware” devices. Today’s automobiles are no different and are also classified as IoT “devices”.

IoT 131

IoT Internet of Things Cost-Benefit Testing 131

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 Data-driven 122

CIO Business Intelligence

JULY 17, 2023

Dickson, who joined the Wisconsin-based company in 2020, has launched PowerInsights, a homegrown digital platform that employs IoT and AI to deliver a geospatial visualization of Generac’s installed base of generators, as well as insights into sales opportunities.

IoT 98

IoT Manufacturing Digital Transformation Sales 98

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

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

Smart Data Collective

MAY 17, 2021

A critical component of smarter data-driven operations is commercial IoT or IIoT, which allows for consistent and instantaneous fleet tracking. The global IoT fleet management market is expected to reach $17.5 Predictive models, estimates and identified trends can all be sent to the project management team to speed up their decisions.

Big Data 132

Big Data Cost-Benefit IoT Machine Learning 132

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. The platform tier encapsulates the common entry point — an IoT event hub that processes messages sent to the cloud from the edge in real-time.

Internet of Things 105

Internet of Things IoT Manufacturing Machine Learning 105

CIO Business Intelligence

DECEMBER 11, 2023

This can include steps like replacing the traditional net present value/discounted cash flow calculator with multi-scenario models to stress-test multiple different forecasts under countless different scenarios.

Finance 105

Finance Forecasting IoT Predictive Modeling 105

CIO Business Intelligence

OCTOBER 12, 2023

They naturally get into the IoT space. They’re now in the IoT space, and what you do with IoT data can help benefit your business through AI and also your customers through AI. You have to have that model trained. These assets start emitting data. It’s just the natural evolution of something.

IoT 126

IoT Manufacturing Strategy Modeling 126

Rocket-Powered Data Science

OCTOBER 6, 2023

In these applications, the data science involvement includes both the “learning” of the most significant patterns to alert on and the improvement of their models (logic) to minimize false positives and false negatives. Broken models are definitely disruptive to analytics applications and business operations.

Business Analytics 157

Business Analytics Prescriptive Analytics Analytics Statistics 157

CIO Business Intelligence

APRIL 25, 2022

It culminates with a capstone project that requires creating a machine learning model. It’s a 12-week, asynchronous, online course that will require students to work between five and 15 hours a week.

Data Science 145

Data Science Machine Learning Deep Learning Statistics 145

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. Traditional AI models versus foundation models These capabilities can help to continuously determine the state of the physical object.

Unstructured Data 73

Unstructured Data Consulting Visualization IoT 73

CIO Business Intelligence

AUGUST 15, 2023

Shamim Mohammad, CIO, CarMax CarMax That volume created a Sisyphean task for the company’s content writers, as they struggled to provide up-to-date information by make, model, and year for each vehicle in the company’s constantly changing inventory.

IT 98

IT Manufacturing IoT Cost-Benefit 98

Cloudera

APRIL 13, 2021

Disparate data silos made real-time streaming analytics, data science, and predictive modeling nearly impossible. There was no way its data platform could support new micro business models that connected small businesses with individuals; it simply lacked the unified data security, governance, and lineage capabilities needed.

Enterprise 78

Enterprise Cost-Benefit Data Warehouse Data Architecture 78

Cloudera

MAY 12, 2021

This category is open to organizations that have tackled transformative business use cases by connecting multiple parts of the data lifecycle to enrich, report, serve, and predict. . DATA FOR ENTERPRISE AI. HYBRID & MULTI-CLOUD INNOVATION. PEOPLE FIRST. A new award category for 2021.

Digital Transformation 70

Digital Transformation Machine Learning Optimization Data Lake 70

AWS Big Data

MARCH 7, 2023

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 78

Analytics Data Warehouse Data Lake Metadata 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

Cloudera

APRIL 27, 2021

There are huge opportunities in the North American cable market to grow the base through smart customer acquisition; grow customer lifetime value through portfolio optimization, content library analytics and enhanced retention; and dramatically improve customer experience through predictive modelling and integrated experience management.The secret?

Recreation/Entertainment 69

Recreation/Entertainment Advertising IoT Predictive Modeling 69

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

JUNE 29, 2023

This information is then used to build predictive models of an asset’s performance over time and help spot potential problems before they arise. One of the ways maintenance managers refine and improve predictive analytics to increase asset reliability is through the creation of a digital twin.

Cost-Benefit 80

Cost-Benefit Measurement Predictive Analytics Management 80

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

And, as organizations progress and grow, “data drift” starts to impact data usage, models, and your business. They strove to ramp up skills in all manner of predictive modeling, machine learning, AI, or even deep learning. Model Drift. Models too, can drift and transform over time. Cloud governance.

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. Theme model functionality and an extensive function system for enhanced customization and analysis capabilities. Best BI Tools for Data Analysts 3.1

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. 2 in frequency in proposal topics; a related term, “models,” is No.

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. This allows them to make informed decisions about the next steps in their analysis or modeling process.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

Jet Global

AUGUST 13, 2024

Demand Forecasting: Machine learning analyzes sales data to predict future demand, leading to better inventory management and resource allocation. Risk Management: AI-powered anomaly detection and predictive modeling identify potential supply chain disruptions, allowing for proactive risk management.

Manufacturing 52

Manufacturing Reporting Optimization Sales 52

CIO Business Intelligence

APRIL 3, 2025

Rohit K, practice director at Everest Group, said the companies combined offering will provide their joint customers with predictive modeling, faster iteration cycles, and stronger regulatory complianceultimately accelerating time-to-market.

Marketing 108

Marketing Strategy IT Manufacturing 108

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

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. This speeds up the AI considerably.

Manufacturing 69

Manufacturing IoT Digital Transformation Data-driven 69