CIO Business Intelligence

FEBRUARY 13, 2024

At its core, the Smart Rainforest is a sophisticated network of Internet of Things (IoT) devices strategically deployed across the rainforest region. These devices, including sensors, cameras and other monitoring equipment, create a comprehensive network that captures real-time data on various environmental parameters.

IoT 59

IoT Internet of Things Machine Learning Data Collection 59

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 116

IoT Analytics Internet of Things Data Lake 116

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. public events like concerts or marathons. Intel® Technologies Move Analytics Forward.

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 93

Data-driven IoT Big Data Internet of Things 93

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. To take advantage of this data and build an effective inventory management and forecasting solution, retailers can use a range of AWS services.

Forecasting 78

Forecasting Management IoT Data-driven 78

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

CIO Business Intelligence

DECEMBER 1, 2022

The company is also refining its data analytics operations, and it is deploying advanced manufacturing using IoT devices, as well as AI-enhanced robotics. One HR employee took some courses in data analytics and found a new job within the company helping to advance digital transformation. “I

Digital Transformation 139

Digital Transformation IoT Data-driven KPI 139

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.

Data Architecture 97

Data Architecture IoT Internet of Things Recreation/Entertainment 97

CIO Business Intelligence

JUNE 29, 2022

The insights provided by analytics “in the moment” can uncover valuable information in customer interactions and alert users or trigger responses as events happen. An enterprise that focuses on building an event-based architecture for real-time applications will be in a much better position to build a real-time analytics platform.

Interactive 95

Interactive Data-driven Data Architecture Software 95

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

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 81

Manufacturing IoT Forecasting Machine Learning 81

AWS Big Data

DECEMBER 13, 2023

Apache Kafka is an open-source distributed event streaming platform used by thousands of companies for high-performance data pipelines, streaming analytics, data integration, and mission-critical applications. Debezium MySQL source Kafka Connector reads these change events and emits them to the Kafka topics in Amazon MSK.

Data Warehouse 102

Data Warehouse Snapshot Data Processing Management 102

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 77

Data Analytics Analytics IoT Data Lake 77

Cloudera

SEPTEMBER 24, 2021

They were using R and Python, with NoSQL and other open source ad hoc data stores, running on small dedicated servers and occasionally for small jobs in the public cloud. Data governance was completely balkanized, if it existed at all. The Well-Governed Hybrid Data Cloud: 2018-today.

Analytics 90

Analytics IoT Cost-Benefit Big Data 90

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. IDC analyst Sandeep Mukunda says NJ Transit’s approach to data analytics has been very advanced. Lookman Fazal, chief information and digital officer, NJ Transit.

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

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 98

Manufacturing Cost-Benefit Data Lake Optimization 98

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 95

Internet of Things Strategy Data Strategy Risk 95

datapine

NOVEMBER 19, 2019

Interesting Read: THE DIFFERENT STAGES IN DATA ANALYTICS, AND WHERE DO YOU FIT IT IN AI AND ML ACTIVITIES? With the help of collaborative methods such as utilizing a business dashboard , workers are able to share information as to why certain events are unfolding in a particular way and so on. EXPERT OPINION]. Author Bio: .

Business Intelligence 146

Business Intelligence Knowledge Discovery Dashboards Unstructured Data 146

Smart Data Collective

NOVEMBER 25, 2019

New Avenues of Data Discovery. New data-collection technologies , like internet of things (IoT) devices, are providing businesses with vast banks of minute-to-minute data unlike anything collected before. Instead, they’ll turn to big data technology to help them work through and analyze this data.

Business Intelligence 101

Business Intelligence Predictive Analytics Data Collection Internet of Things 101

Smart Data Collective

MAY 20, 2019

That’s equal to 44 zettabytes of data, or 44 trillion gigabytes. There are many reasons why data is being generated so quickly — doubling in size every two years. The birth of IoT and connected devices is just one source, while the need for more reliable real-time data is another.

Analytics 111

Analytics Machine Learning Business Intelligence Big Data 111

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. It supports ingestion, manipulation, and delivery of data to the desired destinations. A Flink program can be implemented in Java, Scala, or Python.

Data Analytics 95

Data Analytics Analytics Visualization 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 105

Digital Transformation Risk Strategy Testing 105

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. . Demand-side. Automation opportunities.

Manufacturing 86

Manufacturing Forecasting Digital Transformation Sales 86

Cloudera

AUGUST 28, 2018

These thought leaders in data management and analytics represent all areas of the industry from executives and industry analysts to professors and media experts. Once again, thank you to the global team of 25 judges who selected the Data Impact Award finalists: Tony Baer , Principal Analyst, Ovum, @TonyBaer.

Digital Transformation 64

Digital Transformation Consulting Machine Learning IoT 64

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 100

Enterprise Interactive Data-driven Key Performance Indicator 100

Cloudera

MAY 15, 2019

Some use cases require data to be available in near real-time, to make timely decisions and improve the customer experience. The analytics and data platform is powering different data needs, use cases, and growth. American Water will share how bringing IoT to fleet management can provide value to the customer.

Enterprise 47

Enterprise Data Lake Data mining IoT 47

Smart Data Collective

SEPTEMBER 26, 2019

Below, we have laid down 5 different ways that software development can leverage Big Data. With the data analytics software, development teams are able to organize, harness and use data to streamline their entire development process and even discover new opportunities. Improving Efficiency. Software Testing.

Big Data 80

Big Data Software Unstructured Data Data Integration 80

AWS Big Data

MAY 30, 2023

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. You will also want to apply incremental updates with change data capture (CDC) from the source system to the destination.

Data Lake 82

Data Lake Data Analytics Analytics Data Processing 82

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 111

Internet of Things IoT Manufacturing Data Processing 111

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

CIO Business Intelligence

JUNE 29, 2022

And as businesses contend with increasingly large amounts of data, the cloud is fast becoming the logical place where analytics work gets done. For many enterprises, Microsoft Azure has become a central hub for analytics. Azure Data Explorer. Bonus: Azure Stream Analytics and Azure Time Series Insights.

Data Lake 115

Data Lake Analytics Data Warehouse Machine Learning 115

datapine

NOVEMBER 19, 2019

Interesting Read: THE DIFFERENT STAGES IN DATA ANALYTICS, AND WHERE DO YOU FIT IT IN AI AND ML ACTIVITIES? With the help of collaborative methods, workers are able to share information such as why certain events are unfolding in a particular way and so on. EXPERT OPINION]. Author Bio: . Website Link: [link] .

Business Intelligence 20

Business Intelligence Knowledge Discovery Unstructured Data Software 20

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 139

Measurement Digital Transformation KPI Metrics 139

CIO Business Intelligence

MAY 24, 2022

Organisations have to contend with legacy data and increasing volumes of data spread across multiple silos. To meet these demands many IT teams find themselves being systems integrators, having to find ways to access and manipulate large volumes of data for multiple business functions and use cases. zettabytes of data.

Data-driven 94

Data-driven Data Lake Data Warehouse Cost-Benefit 94

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 Digital Transformation 133