AWS Big Data

NOVEMBER 22, 2024

Event-driven data transformations – In scenarios where organizations need to process data in near real time, such as for streaming event logs or Internet of Things (IoT) data, you can integrate the adapter into an event-driven architecture.

Data Lake 104

Data Lake Data Warehouse Cost-Benefit Data Transformation 104

TDAN

JULY 17, 2024

IoT data management includes the practices, technologies, and policies involved in managing data generated by IoT devices. Management tasks include the collection, storage, analysis, and sharing of data across various platforms and systems.

IoT 52

IoT Management Internet of Things Technology 52

TDAN

OCTOBER 16, 2024

What Is IoT Data Management? IoT data management refers to the process of collecting, storing, processing, and analyzing the massive amounts of data generated by Internet of Things (IoT) devices.

IoT 52

IoT Internet of Things Management Risk 52

erwin

JANUARY 3, 2020

To that end, data is finally no longer just an IT issue. As organizations become data-driven and awash in an overwhelming amount of data from multiple data sources (AI, IoT, ML, etc.), they will find new ways to get a handle on data quality and focus on data management processes and best practices.

Data Governance 139

Data Governance Digital Transformation IoT Metadata 139

CIO Business Intelligence

MAY 8, 2024

According to a recent report by InformationWeek , enterprises with a strong AI strategy are 3 times more likely to report above-average data integration success. Additionally, a study by McKinsey found that organisations leveraging AI in data integration can achieve an average improvement of 20% in data quality.

Data Integration 102

Data Integration IoT Cost-Benefit Machine Learning 102

CIO Business Intelligence

APRIL 11, 2022

IoT technologies enable planners to deploy energy-efficient streetlights that detect human presence and consume energy only when needed. Crowd monitoring : Anonymized localization data from smartphones helps cities better manage big. Ready to evolve your analytics strategy or improve your data quality?

IoT 145

IoT Measurement Cost-Benefit Deep Learning 145

CIO Business Intelligence

APRIL 24, 2025

Were the ones who develop things like signs and information services, Wi-Fi, and communication between IoT sensors and the land side. By definition, these are large projects with very specific milestones, he adds. We have to work with a slightly different methodology to make it fit together.

IT 71

IT Consulting Optimization IoT 71

Hurwitz & Associates

JULY 10, 2018

Internet-of-Things (IoT) has entered the lexicon of IT-related buzz terms in a big way over the past few years, and there is good reason for this. IoT at its foundation refers to what can literally be billions of devices spanning the globe (and beyond) that can be connected to the internet to serve a variety of purposes.

IoT 40

IoT Management Internet of Things Unstructured Data 40

erwin

FEBRUARY 13, 2020

When an organization’s data governance and metadata management programs work in harmony, then everything is easier. Data governance is a complex but critical practice. There’s always more data to handle, much of it unstructured; more data sources, like IoT, more points of integration, and more regulatory compliance requirements.

Metadata 135

Metadata Data Governance Management Cost-Benefit 135

erwin

FEBRUARY 4, 2021

While acknowledging that data governance is about more than risk management and regulatory compliance may indicate that companies are more confident in their data, the data governance practice is nonetheless growing in complexity because of more: Data to handle, much of it unstructured. Sources, like IoT.

Data Governance 89

Data Governance Metadata Data Quality IoT 89

CIO Business Intelligence

APRIL 16, 2024

Manufacturers have been using gateways to work around these legacy silos with IoT platforms to collect and consolidate all operational data. The detailed data must be tagged and mapped to specific processes, operational steps, and dashboards; pressure data A maps to process B, temperature data C maps to process D, etc.

Manufacturing 142

Manufacturing Digital Transformation Risk Dashboards 142

CIO Business Intelligence

JANUARY 23, 2024

Efficiency metrics might show the impacts of automation and data-driven decision-making. For example, manufacturers should capture how predictive maintenance tied to IoT and machine learning saves money and reduces outages. For example, in media and ecommerce, CIOs may select revenue growth from digital subscriptions and advertising.

Measurement 141

Measurement Digital Transformation KPI Metrics 141

AWS Big Data

SEPTEMBER 11, 2024

Aruba offers networking hardware like access points, switches, routers, software, security devices, and Internet of Things (IoT) products. This complex process involves suppliers, logistics, quality control, and delivery. The data quality (DQ) checks are managed using DQ configurations stored in Aurora PostgreSQL tables.

Data Architecture 111

Data Architecture Optimization Data Warehouse Metadata 111

CIO Business Intelligence

JANUARY 20, 2023

And modern object storage solutions, offer performance, scalability, resilience, and compatibility on a globally distributed architecture to support enterprise workloads such as cloud-native, archive, IoT, AI, and big data analytics. Protecting the data : Cyber threats are everywhere—at the edge, on-premises and across cloud providers.

Analytics 137

Analytics Key Performance Indicator Unstructured Data Deep Learning 137

CIO Business Intelligence

JANUARY 24, 2024

“Establishing data governance rules helps organizations comply with these regulations, reducing the risk of legal and financial penalties. Clear governance rules can also help ensure data quality by defining standards for data collection, storage, and formatting, which can improve the accuracy and reliability of your analysis.”

Data Strategy 136

Data Strategy Strategy Unstructured Data Data Governance 136

CIO Business Intelligence

OCTOBER 18, 2023

German healthcare company Fresenius Medical Care, which specializes in providing kidney dialysis services, is using a combination of near real-time IoT data and clinical data to predict one of the most common complications of the procedure.

Predictive Analytics 133

Predictive Analytics Analytics Machine Learning Internet of Things 133

AWS Big Data

MARCH 7, 2023

ETL (extract, transform, and load) technologies, streaming services, APIs, and data exchange interfaces are the core components of this pillar. Unlike ingestion processes, data can be transformed as per business rules before loading. You can apply technical or business data quality rules and load raw data as well.

Analytics 97

Analytics Data Warehouse Data Lake Metadata 97

Sisense

OCTOBER 15, 2020

The world is moving faster than ever, and companies processing large amounts of rapidly changing or growing data need to evolve to keep up — especially with the growth of Internet of Things (IoT) devices all around us. Let’s look at a few ways that different industries take advantage of streaming data.

Dashboards 98

Dashboards IoT Optimization Internet of Things 98

CIO Business Intelligence

NOVEMBER 29, 2022

Layering technology on the overall data architecture introduces more complexity. Today, data architecture challenges and integration complexity impact the speed of innovation, data quality, data security, data governance, and just about anything important around generating value from data.

Data Architecture 111

Data Architecture Data Integration IoT Data-driven 111

Cloudera

JULY 20, 2021

robots), AR/VR in manufacturing (quality), power grid management, automated retail, IoT, Intelligent call centers – all powered by AI – the list of potential use cases is virtually endless. . Build your data strategy around relevant data, not last years data because it’s easy to access.

Manufacturing 106

Manufacturing Forecasting IoT Insurance 106

erwin

DECEMBER 13, 2018

Data is no longer just an IT issue. As organizations become data-driven and awash in an overwhelming amount of data from multiple data sources (AI, IOT, ML, etc.), organizations will need to get a better handle on data quality and focus on data management processes and practices.

Data Governance 91

Data Governance IoT Internet of Things Data-driven 91

CIO Business Intelligence

MAY 21, 2024

One of the first things they needed was an IoT device that could be plugged into the cars to gather and transmit the data. They worked with Ituran MOB, which develops and manufactures a suite of hardware and software solutions for fleet management, stolen vehicle recovery, car connectivity, and performance-based insurance needs.

Broadcasting 126

Broadcasting Recreation/Entertainment Manufacturing Data Lake 126

CIO Business Intelligence

MAY 20, 2022

National Grid is a big Microsoft Azure cloud customer due to its secure, proprietary nature, says Karaboutis, and is using a bevy of leading-edge tools, from Snowflake, Azure, and Matallion ETL for data tooling, Informatica for data quality, Reltio for master data management, and Blue Prism for RPA, to name a few.

IT 105

IT Internet of Things Digital Transformation Data Architecture 105

CIO Business Intelligence

APRIL 25, 2022

Data Science Dojo is one of the shortest programs on this list, but in just five days, Data Science Dojo promises to train attendees on machine learning and predictive models as a service, and each student will complete a full IoT project and have the chance to enter a Kaggle competition.

Data Science 145

Data Science Machine Learning Deep Learning Statistics 145

AWS Big Data

AUGUST 1, 2024

Migrating to Amazon Redshift offers organizations the potential for improved price-performance, enhanced data processing, faster query response times, and better integration with technologies such as machine learning (ML) and artificial intelligence (AI). The migration team composition is tailored to the needs of a project wave.

Data Warehouse 115

Data Warehouse KPI Optimization Cost-Benefit 115

Cloudera

JUNE 29, 2023

Incorporate data from novel sources — social media feeds, alternative credit histories (utility and rental payments), geo-spatial systems, and IoT streams — into liquidity risk models. CDP also enables data and platform architects, data stewards, and other experts to manage and control data from a single location.

Data Architecture 85

Data Architecture Risk Management Risk Management 85

CIO Business Intelligence

JUNE 30, 2023

All of this renewed attention on data and AI, however, brings greater potential risks for those companies that have less advanced data strategies. As these trends continue to evolve, building your data strategy around the principles of openness and governance assures trust in the data.

Internet of Things 104

Internet of Things Strategy Data Strategy Data-driven 104

CIO Business Intelligence

JULY 10, 2024

Then there’s the broader stuff like economic uncertainty, which means really interesting choices about where you invest in technology, and the short- and long-term trade offs, hybrid workplaces, global workplaces, mobility, and how to get new tech like AI, gen AI, IoT, and quantum right and humming.

Strategy 118

Strategy Cost-Benefit Uncertainty Technology 118

erwin

JANUARY 3, 2020

To that end, data is finally no longer just an IT issue. As organizations become data-driven and awash in an overwhelming amount of data from multiple data sources (AI, IoT, ML, etc.), they will find new ways to get a handle on data quality and focus on data management processes and best practices.

Data Governance 52

Data Governance Digital Transformation IoT Metadata 52

Cloudera

SEPTEMBER 6, 2022

Optimization Data lakehouse is the platform wherein the data assets reside. It is an edge-to-AI suite of capabilities, including edge analytics, data staging, data quality control, data visualization tools, and machine learning. This is not a single repository, nor is it limited to the storage function.

Data Architecture 84

Data Architecture Cost-Benefit Digital Transformation Business Driver 84

erwin

JUNE 11, 2020

To keep pace with technology, businesses have been employing more tools and methods that incorporate modern technology like, Machine Learning, and the Internet of Things(IoT) to enhance the consumer experience. More businesses employing data intelligence will be incorporating blockchain to support its processes.

Key Performance Indicator 103

Key Performance Indicator KPI Data-driven Machine Learning 103

CIO Business Intelligence

APRIL 4, 2024

“This can help companies accelerate the use of AI while they continue to curate their internal data and harvest their expertise.” Ensure suitability of AI capabilities before turning them on “CIOs should invest in new or upgrade existing CRM, IoT, ITSM and business intelligence tools that include AI/ML,” says Jevin Jensen, research VP at IDC.

Enterprise 134

Enterprise Cost-Benefit Forecasting Sales 134

Jet Global

JULY 2, 2019

All sources of data within your enterprise are tributaries for your data lake, which will collect all of your data, regardless of form, function, size, or speed. This is particularly useful when capturing event tracking or IoT data; though the uses of data lakes extend beyond just those scenarios.

Data Lake 73

Data Lake Data Warehouse Big Data Machine Learning 73

CIO Business Intelligence

APRIL 12, 2022

In any of these situations, different data points can be ingested once, and analyzed for multiple uses. Cameras and thermal vision technology are used to visually inspect vehicles for wear and tear, and when integrated with IoT sensors, can more accurately identify parts that should be replaced. Just starting out with analytics?

IT 72

IT Cost-Benefit IoT Machine Learning 72

DataRobot Blog

MARCH 10, 2022

This “revolution” stems from breakthrough advancements in artificial intelligence, robotics, and the Internet of Things (IoT). In this example, I walk through how a manufacturer could build a real-time predictive maintenance pipeline that assigns a probability of failure to IoT devices within the factory.

Manufacturing 52

Manufacturing IoT Machine Learning Forecasting 52

CIO Business Intelligence

FEBRUARY 14, 2023

Titanium Intelligent Solutions, a global SaaS IoT organization, even saved one customer over 15% in energy costs across 50 distribution centers , thanks in large part to AI. It’s clear how these real-time data sources generate data streams that need new data and ML models for accurate decisions.

Data Strategy 116

Data Strategy Strategy Machine Learning Data-driven 116

DataRobot Blog

APRIL 1, 2018

Today, data integration is moving closer to the edges – to the business people and to where the data actually exists – the Internet of Things (IoT) and the Cloud. 4 Data and analytics leaders, CDOs, and executives will increasingly work together to develop creative ways for data assets to generate new revenue streams.

Analytics 40

Analytics IoT Internet of Things Machine Learning 40