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 Unstructured Data Internet of Things 40

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

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 74

Analytics Data Warehouse Data Lake Metadata 74

Smart Data Collective

JUNE 19, 2019

Big data calls for complex processing, handling, and storage system, which may include elements such as human beings, computers, and the internet. While the sophisticated Internet of Things can positively impact your business, it also carries a significant risk of data misuse.

Risk Management 70

Risk Management Risk Management Big Data 70

DataRobot Blog

MARCH 10, 2022

This “revolution” stems from breakthrough advancements in artificial intelligence, robotics, and the Internet of Things (IoT). DataRobot will automatically perform a data quality assessment, determine the problem domain to solve for whether that be binary classification, regression, etc.,

Manufacturing 52

Manufacturing IoT Machine Learning Forecasting 52

Smart Data Collective

SEPTEMBER 21, 2021

Recognizing the potential of data, organizations are trying to extract values from their data in various ways to create new revenue streams and reduce the cost and resources required for operations. The increased amounts and types of data, stored in various locations eventually made the management of data more challenging.

Management 103

Management Internet of Things Data Quality Data Integration 103

CIO Business Intelligence

OCTOBER 18, 2023

The solution uses CloudWatch alerts to send notifications to the DataOps team when there are failures or errors, while Kinesis Data Analytics and Kinesis Data Streams are used to generate data quality alerts. Waguespack adds that the project has been another step in Fresenius Medical Care’s ongoing digital transformation.

Predictive Analytics 133

Predictive Analytics Analytics Machine Learning Digital Transformation 133

CDW Research Hub

NOVEMBER 29, 2021

Your first thought about the Internet of Things (IoT) might be of a “smart” device or sensor. Data collection: IoT infrastructure often serves as the nucleus to integrate data from multiple sensors— and this data must be modeled processed to achieve your desired outcome.

IoT 89

IoT Cost-Benefit Internet of Things ROI 89

AWS Big Data

JUNE 12, 2023

Organizations across the world are increasingly relying on streaming data, and there is a growing need for real-time data analytics, considering the growing velocity and volume of data being collected. Therefore, it’s crucial to keep the schema definition in the Schema Registry and the Data Catalog table in sync.

Management 82

Management Metadata Testing Internet of Things 82

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. To achieve organization-wide data literacy, a new information management platform must emerge.

Analytics 40

Analytics IoT Internet of Things B2B 40

Cloudera

JANUARY 22, 2019

It enables orchestration of data flow and curation of data across various big data platforms (such as data lakes, Hadoop, and NoSQL) to support a single version of the truth, customer personalization, and advanced big data analytics. Cloudera Enterprise Platform as Big Data Fabric.

Big Data 45

Big Data Data Lake Internet of Things Enterprise 45

datapine

AUGUST 29, 2022

In this at-times contrarian and unflinching book, Dr. Barry Devlin shows how modern BI often fails to deal with data from mobile, social media, and the Internet of Things in a meaningful way. Designed to be an accessible resource, this essential big data book does not include exhaustive coverage of all analytical techniques.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

erwin

DECEMBER 13, 2018

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

datapine

NOVEMBER 27, 2019

Companies are no longer wondering if data visualizations improve analyses but what is the best way to tell each data-story. 2020 will be the year of data quality management and data discovery: clean and secure data combined with a simple and powerful presentation. 1) Data Quality Management (DQM).

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361