AWS Big Data

JANUARY 8, 2024

This is the first post to a blog series that offers common architectural patterns in building real-time data streaming infrastructures using Kinesis Data Streams for a wide range of use cases. In this post, we will review the common architectural patterns of two use cases: Time Series Data Analysis and Event Driven Microservices.

Analytics 113

Analytics IoT Data-driven Snapshot 113

Smart Data Collective

NOVEMBER 12, 2021

Big data technology has been instrumental in changing the direction of countless industries. Companies have found that data analytics and machine learning can help them in numerous ways. However, there are a lot of other benefits of big data that have not gotten as much attention. Here’s why.

Data-driven 103

Data-driven Cost-Benefit Data mining Big Data 103

IBM Big Data Hub

JANUARY 15, 2024

Also, machine learning will be an incredibly powerful tool for data-driven organizations looking to take better advantage of their data analytics practices. Another way organizations are experimenting with advanced security measures is through the blockchain, which can enhance data integrity and secure transactions.

Digital Transformation 70

Digital Transformation Internet of Things IoT Consulting 70

datapine

NOVEMBER 19, 2019

In this day and age, we’re all constantly hearing the terms “big data”, “data scientist”, and “in-memory analytics” being thrown around. Interesting Read: THE DIFFERENT STAGES IN DATA ANALYTICS, AND WHERE DO YOU FIT IT IN AI AND ML ACTIVITIES? EXPERT OPINION]. Author Bio: . Website Link: [link] .

Business Intelligence 146

Business Intelligence Knowledge Discovery Dashboards Unstructured Data 146

IBM Big Data Hub

JUNE 20, 2023

Decision-makers will want to take into consideration a variety of factors when attempting to measure this, including asset uptime, projected lifespan and the shifting costs of fuel and spare parts. Reduced maintenance costs and downtime: Monitor assets in real time, regardless of complexity.

Strategy 71

Strategy Management Cost-Benefit IoT 71

bridgei2i

OCTOBER 8, 2021

The emergence of IoT, cloud computing, and big data analytics combined with AI tech has brought enterprises to a tipping point in their journey towards making AI real. View All Recognitions. AI For Digital Enterprises – Thought Leadership.

Digital Transformation 52

Digital Transformation Contextual Data Consulting IoT 52

Cloudera

FEBRUARY 12, 2019

Mobile data traffic is predicted to grow at a 40 to 50 percent rate annually, and Internet of Things (IoT) connections from 25 to 30 percent. As technology adoption increases, more service providers require 5G to support the surge of incoming data. But a high data rate and reduced latency is exactly what 5G was built for.

IoT 40

IoT Internet of Things Machine Learning Digital Transformation 40

IBM Big Data Hub

FEBRUARY 23, 2024

Integrating conversational AI into the Internet of Things (IoT) also offers vast possibilities, enabling more intelligent and interactive environments through seamless communication between connected devices. Prioritizing tracking metrics accurately measures the success of your implementation.

Enterprise 96

Enterprise Interactive Data-driven Key Performance Indicator 96

AWS Big Data

MAY 3, 2023

The ability to quickly measure and draw insights from data is critical in today’s business landscape, where rapid decision-making is key. This post is a continuation of How SOCAR built a streaming data pipeline to process IoT data for real-time analytics and control.

IoT 104

IoT Internet of Things Data Transformation Management 104

AWS Big Data

MAY 23, 2023

2022 , with Apache Flink, and provide a working example that will help you get started on a managed Apache Flink solution using Amazon Kinesis Data Analytics. This class of data is present in every industry and is common at the core of many business requirements or key performance indicators (KPIs).

Data Analytics 92

Data Analytics Analytics Visualization Key Performance Indicator 92

DataKitchen

APRIL 13, 2021

DataOps needs a directed graph-based workflow that contains all the data access, integration, model and visualization steps in the data analytic production process. It orchestrates complex pipelines, toolchains, and tests across teams, locations, and data centers. Testing and Data Observability. Process Analytics.

Testing 300

Testing Machine Learning Consulting Data Quality 300

datapine

NOVEMBER 19, 2019

In this day and age, we’re all constantly hearing the terms “big data”, “data scientist”, and “in-memory analytics” being thrown around. Interesting Read: THE DIFFERENT STAGES IN DATA ANALYTICS, AND WHERE DO YOU FIT IT IN AI AND ML ACTIVITIES? EXPERT OPINION]. Author Bio: . Website Link: [link] .

Business Intelligence 20

Business Intelligence Knowledge Discovery Unstructured Data Software 20

IBM Big Data Hub

JUNE 14, 2023

artificial intelligence (AI) applications, the Internet of Things (IoT), robotics and augmented reality, among others) to optimize enterprise resource planning (ERP), making companies more agile and adaptable. Ensure that sensitive data remains within their own network, improving security and compliance.

Manufacturing 71

Manufacturing Technology Internet of Things Cost-Benefit 71

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. Each of those were associated with blockers, real and perceived. “It

Predictive Analytics 132

Predictive Analytics Analytics Machine Learning Digital Transformation 132

AWS Big Data

OCTOBER 26, 2023

times better price-performance than other cloud data warehouses on real-world workloads using advanced techniques like concurrency scaling to support hundreds of concurrent users, enhanced string encoding for faster query performance, and Amazon Redshift Serverless performance enhancements. Amazon Redshift delivers up to 4.9

Data Warehouse 95

Data Warehouse Cost-Benefit Dashboards Optimization 95

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 Risk Management 89

CIO Business Intelligence

JUNE 22, 2022

Oxford Economics, a leader in global forecasting and quantitative analysis, teamed up with Huawei to develop a new approach to measuring the impact of digital technology on economic performance. Ongoing innovation in digital technologies is now essential to support its expansion.

Digital Transformation 97

Digital Transformation Internet of Things Manufacturing Unstructured Data 97

IBM Big Data Hub

FEBRUARY 6, 2024

Cloud-based applications and services Cloud-based applications and services support myriad business use cases—from backup and disaster recovery to big data analytics to software development. Additionally, a private cloud allows organizations to choose the location and jurisdiction of their data.

Cost-Benefit 100

Cost-Benefit Digital Transformation Software Modeling 100

IBM Big Data Hub

JUNE 15, 2023

Proactive issue resolution: In the Internet of Things (IoT) era, everything from a single valve to a thousand-mile pipeline can be connected to sensors that deliver real-time data on their condition and measure depreciation over time.

Management 67

Management Broadcasting Cost-Benefit IoT 67

IBM Big Data Hub

DECEMBER 1, 2023

Edge computing Edge computing is a distributed computing framework that places computer workloads as close as possible to data sources (e.g., IoT devices ). Edge computing has become a critical part of hybrid cloud architecture especially as endpoints, applications and data become more distributed.

Data Processing 81

Data Processing Cost-Benefit Digital Transformation Testing 81

IBM Big Data Hub

DECEMBER 20, 2023

Determine cloud migration needs Cloud migration has become a pivotal business imperative for streamlining IT operations, implementing cost-saving measures and accelerating overall digital transformation. Workloads involving web content, big data analytics and AI are ideal for a hybrid cloud infrastructure.

Strategy 95

Strategy Cost-Benefit Digital Transformation Optimization 95

Alation

APRIL 14, 2022

Data discovery is also critical for data governance , which, when ineffective, can actually hinder organizational growth. And, as organizations progress and grow, “data drift” starts to impact data usage, models, and your business. It’s More Important to Know What Your Data Means Than Where It Is.

Metadata 59

Metadata Data Governance Modeling Data-driven 59

Sisense

JULY 23, 2021

At the Information, Knowledge, and Games Learning (IKL) unit, we anticipate collecting about 1TB of data from primary sources. “We’ve We’ve had a growing realization that we need to measure the Games more precisely so that we can manage it more effectively going forward,” Chris says. Chris’ passion around this is evident.

Unstructured Data 105

Unstructured Data Internet of Things Data-driven Data Processing 105

IBM Big Data Hub

MARCH 20, 2024

Moreover, a public cloud model enables companies to automatically scale compute and storage resources up or down (along with data security measures and services) to meet their individual needs. In a public cloud computing model, a cloud service provider (CSP) owns and operates vast physical data centers that run client workloads.

Internet of Things 89

Internet of Things Cost-Benefit Data Processing IoT 89

datapine

NOVEMBER 27, 2019

While we work on programs to avoid such inconvenience , AI and machine learning are revolutionizing the way we interact with our analytics and data management while increment in security measures must be taken into account. 1 for data analytics trends in 2020. How can we make it happen?

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361