Cloudera

SEPTEMBER 15, 2021

Leveraging the Internet of Things (IoT) allows you to improve processes and take your business in new directions. That’s where you find the ability to empower IoT devices to respond to events in real time by capturing and analyzing the relevant data. The IoT depends on edge sites for real-time functionality.

IoT 120

IoT Analytics Internet of Things Data Lake 120

Cloudera

SEPTEMBER 24, 2021

One of the most substantial big data workloads over the past fifteen years has been in the domain of telecom network analytics. Advanced predictive analytics technologies were scaling up, and streaming analytics was allowing on-the-fly or data-in-motion analysis that created more options for the data architect.

Analytics 96

Analytics IoT Cost-Benefit Big Data 96

CIO Business Intelligence

FEBRUARY 13, 2024

ClimateForce is working to regenerate the area, and NTT is helping to support this effort using its own Smart Management Platform (SMP) Technology and Analytics. At its core, the Smart Rainforest is a sophisticated network of Internet of Things (IoT) devices strategically deployed across the rainforest region.

IoT 59

IoT Internet of Things Machine Learning Data Collection 59

CIO Business Intelligence

APRIL 11, 2022

Location details and facial recognition enhanced by video analytics and artificial intelligence will help them act faster and strengthen their safety. The smart city solution incorporates video and sound data inputs from the area, integrated with publicly available, historical data sources, such as crime, weather and social media data.

IoT 145

IoT Measurement Cost-Benefit Deep Learning 145

Smart Data Collective

NOVEMBER 12, 2021

There are a number of data-driven trends shaping the future of small business financial management. Many institutions that lend capital to small businesses are relying more heavily on data analytics, AI and other data-driven technology than ever before. Big Data is the Future of Small Business Lending.

Data-driven 94

Data-driven IoT Big Data Internet of Things 94

Cloudera

AUGUST 4, 2021

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. Navistar relies on predictive maintenance, which leverages IoT and data analytics to predict and prevent breakdowns of commercial trucks and school buses. “We

IoT 98

IoT Unstructured Data Machine Learning Predictive Modeling 98

AWS Big Data

APRIL 11, 2023

Such a solution should use the latest technologies, including Internet of Things (IoT) sensors, cloud computing, and machine learning (ML), to provide accurate, timely, and actionable data. In this post, we discuss how to streamline inventory management forecasting systems with AWS managed analytics, AI/ML, and database services.

Forecasting 76

Forecasting Management IoT Data-driven 76

AWS Big Data

APRIL 12, 2024

Streaming data refers to data that is continuously generated from a variety of sources. The sources of this data, such as clickstream events, change data capture (CDC), application and service logs, and Internet of Things (IoT) data streams are proliferating. Bosco Albuquerque is a Sr.

Data Architecture 92

Data Architecture IoT Internet of Things Recreation/Entertainment 92

CIO Business Intelligence

DECEMBER 1, 2022

The $247 billion conglomerate, one of the largest food and beverage companies in the world, is developing a modernized data and cloud infrastructure replete with automated processes and workflows. One HR employee took some courses in data analytics and found a new job within the company helping to advance digital transformation.

Digital Transformation 126

Digital Transformation IoT Data-driven KPI 126

AWS Big Data

JUNE 29, 2023

Amazon Kinesis Data Analytics makes it easy to transform and analyze streaming data in real time. In this post, we discuss why AWS recommends moving from Kinesis Data Analytics for SQL Applications to Amazon Kinesis Data Analytics for Apache Flink to take advantage of Apache Flink’s advanced streaming capabilities.

Data Analytics 74

Data Analytics Analytics IoT Data Lake 74

Sisense

OCTOBER 15, 2020

Dealing with Data is your window into the ways data teams are tackling the challenges of this new world to help their companies and their customers thrive. Streaming data analytics is expected to grow into a $38.6 The best architecture for that is called “event sourcing.” billion market by 2025.

Dashboards 98

Dashboards IoT Optimization Internet of Things 98

Smart Data Collective

MAY 20, 2019

We’re well past the point of realization that big data and advanced analytics solutions are valuable — just about everyone knows this by now. Big data alone has become a modern staple of nearly every industry from retail to manufacturing, and for good reason. That’s equal to 44 zettabytes of data, or 44 trillion gigabytes.

Analytics 111

Analytics Machine Learning Business Intelligence Big Data 111

CIO Business Intelligence

JUNE 29, 2022

Enterprises across industries have been obsessed with real-time analytics for some time. The insights provided by analytics “in the moment” can uncover valuable information in customer interactions and alert users or trigger responses as events happen. It’s helpful to begin by thinking about what an event is.

Interactive 83

Interactive Data-driven Data Architecture Software 83

Cloudera

SEPTEMBER 18, 2020

In Part Two they will look at how businesses in both sectors can move to stabilize their respective supply chains and use real-time streaming data, analytics, and machine learning to increase operational efficiency and better manage disruption. The 6 key takeaways from this blog are below: 6 key takeaways.

Manufacturing 84

Manufacturing IoT Forecasting Machine Learning 84

AWS Big Data

DECEMBER 13, 2023

Traditionally, customers used batch-based approaches for data movement from operational systems to analytical systems. A batch-based approach can introduce latency in data movement and reduce the value of data for analytics. usually a data warehouse) needs to reflect those changes in near real-time.

Data Warehouse 98

Data Warehouse Snapshot Data Processing Management 98

CIO Business Intelligence

SEPTEMBER 12, 2022

Collectively, the agencies also have pilots up and running to test electric buses and IoT sensors scattered throughout the transportation system. As a result, NJ Transit’s data maturity as an organization has grown. IDC analyst Sandeep Mukunda says NJ Transit’s approach to data analytics has been very advanced.

Data Warehouse 116

Data Warehouse Predictive Analytics Data Lake IoT 116

erwin

OCTOBER 16, 2020

And this time sensitivity is a massive issue, as taking a proactive and data-driven approach can literally mean life or death to your business or to your customers. And that’s where data analytics can play a huge role.

Internet of Things 145

Internet of Things Data-driven Uncertainty Data Governance 145

erwin

JUNE 11, 2020

Big IT companies even have off-the-shelf data analytics software ready to be configured by a company to their needs. Apply real-time data in marketing strategies. Real-time data analytics can be used by businesses to better meet customer needs as it arises and improve customer satisfaction. Expanding big data.

Key Performance Indicator 103

Key Performance Indicator KPI Data-driven Machine Learning 103

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. Almost all the major software companies are continuously making use of the leading Business Intelligence (BI) and Data discovery tools available in the market to take their brand forward.

Business Intelligence 146

Business Intelligence Knowledge Discovery Dashboards Unstructured Data 146

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

Smart Data Collective

NOVEMBER 25, 2019

More and more often, businesses are using data to drive their decisions — which makes cutting-edge analytics and business intelligence strategies one of the best advantages a company can have. New Avenues of Data Discovery. Instead, they’ll turn to big data technology to help them work through and analyze this data.

Business Intelligence 102

Business Intelligence Predictive Analytics Data Collection Internet of Things 102

CIO Business Intelligence

JULY 12, 2023

P&G engineers developed a high-speed data collection system to capture data to use for training AI models. One challenge they faced is that, while production errors are extremely costly and disruptive, they don’t happen often, which means that failure events are underrepresented in the training data.

Manufacturing 94

Manufacturing Cost-Benefit Data Lake Optimization 94

CIO Business Intelligence

JUNE 30, 2023

Then we went back and analyzed that data at rest. We have now moved upstream to where we are analyzing and acting upon the events as they happen,” said Adrian. Using data to drive decisions is clearly the ultimate goal of a strategy-driven approach to data.

Internet of Things 81

Internet of Things Strategy Data Strategy Risk 81

IBM Big Data Hub

FEBRUARY 23, 2024

Predictive analytics integrates with NLP, ML and DL to enhance decision-making capabilities, extract insights, and use historical data to forecast future behavior, preferences and trends. ML and DL lie at the core of predictive analytics, enabling models to learn from data, identify patterns and make predictions about future events.

Enterprise 95

Enterprise Interactive Data-driven Key Performance Indicator 95

Smart Data Collective

MAY 7, 2023

Such strategies should include awareness and prevention, detection, and response plans that you can quickly activate in the event of an attack. This has enabled even inexperienced cyber criminals to launch successful attacks, making it more critical than ever for organizations to take the necessary steps to protect their data.

Digital Transformation 106

Digital Transformation Risk Strategy Testing 106

Cloudera

AUGUST 28, 2018

From AI models that power retail customer decision engines to utility meter analysis that disables underperforming gas turbines, these finalists demonstrate how machine learning and analytics have become mission-critical to organizations around the world. Brian Buntz , Content Director, Iot Institute, Informa, @brian_buntz.

Digital Transformation 65

Digital Transformation Machine Learning Consulting IoT 65

Cloudera

SEPTEMBER 11, 2020

The ongoing disruption to critical supply chains in both the manufacturing and retail space has seen businesses having to respond quickly, turning to data, analytics, and new technologies to better predict and manage ‘real-time’ business disruptions. . Data and analytics. Demand-side. Automation opportunities.

Manufacturing 92

Manufacturing Forecasting Digital Transformation Sales 92

AWS Big Data

MAY 30, 2023

Customers have been using data warehousing solutions to perform their traditional analytics tasks. However, there is a challenge to ingest datasets, such as Internet of Things (IoT) and clickstreams, at a fast rate with near-real-time delivery SLAs.

Data Lake 81

Data Lake Data Analytics Analytics Data Processing 81

Cloudera

MAY 15, 2019

The Clearsense Platform solves the fundamental data problem by ingesting, organizing, and translating all healthcare stakeholder data into one place, in real-time, and in proper form in any combination for any internal or third-party analytics functions. Check out this list below to see some of them in action: Comcast.

Enterprise 50

Enterprise Data Lake Data mining IoT 50

CIO Business Intelligence

JUNE 29, 2022

Insights hidden in your data are essential for optimizing business operations, finetuning your customer experience, and developing new products — or new lines of business, like predictive maintenance. And as businesses contend with increasingly large amounts of data, the cloud is fast becoming the logical place where analytics work gets done.

Data Lake 111

Data Lake Analytics Data Warehouse Machine Learning 111

Smart Data Collective

SEPTEMBER 26, 2019

The emergence of massive data centers with exabytes in the form of transaction records, browsing habits, financial information, and social media activities are hiring software developers to write programs that can help facilitate the analytics process. Software development has made great strides in terms of saving thanks to Big Data.

Big Data 80

Big Data Software Unstructured Data Data Integration 80

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. CIO 100, Digital Transformation, Healthcare Industry, Predictive Analytics

Predictive Analytics 133

Predictive Analytics Analytics Machine Learning Digital Transformation 133

AWS Big Data

MARCH 20, 2024

In a streaming architecture, you may have event producers, stream storage, and event consumers in a single account or spread across different accounts depending on your business and IT requirements. Amazon Kinesis Data Streams enables real-time processing of streaming data at scale.

Internet of Things 108

Internet of Things IoT Manufacturing Data Processing 108

Corinium

APRIL 25, 2019

Ahead of the Chief Data Analytics Officers & Influencers, Insurance event we caught up with Dominic Sartorio, Senior Vice President for Products & Development, Protegrity to discuss how the industry is evolving. And more recently, we have also seen innovation with IOT (Internet Of Things).

Insurance 150

Insurance Risk IoT Cost-Benefit 150

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. Almost all the major software companies are continuously making use of the leading Business Intelligence (BI) and Data Discovery tools available in the market to take their brand forward.

Business Intelligence 20

Business Intelligence Knowledge Discovery Unstructured Data Software 20

AWS Big Data

MAY 16, 2024

As technology continues to evolve, one specific facet of this journey is reaching unprecedented proportions: geospatial data. H3 indexing and related H3 spatial functions are now available for Amazon Redshift spatial analytics. Let’s dive into a use case to see how this can be used to solve an example spatial analysis problem.

Data Warehouse 108

Data Warehouse Visualization Cost-Benefit Optimization 108

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. As a result, outcome-based metrics should be your guide.

Measurement 129

Measurement Digital Transformation KPI Metrics 129