Smart Data Collective

SEPTEMBER 20, 2023

From smart homes to wearables, cars to refrigerators, the Internet of Things (IoT) has successfully penetrated every facet of our lives. The market for the Internet of Things (IoT) has exploded in recent years. This instant feedback loop is crucial for IoT devices to function optimally and improve user experiences.

IoT 128

IoT Internet of Things Cost-Benefit Manufacturing 128

Smart Data Collective

MARCH 21, 2022

You have probably heard a lot talk about the Internet of Things (IoT). It is one of the biggest trends driven by big data. Some of these tools include machine-learning optimization engines, automated analytics platforms, and dashboards. Analytics is the Answer. trillion across the world.

Big Data 145

Big Data Internet of Things IoT Dashboards 145

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 105

Data Analytics Analytics Visualization Key Performance Indicator 105

datapine

NOVEMBER 27, 2019

The demand for real-time online data analysis tools is increasing and the arrival of the IoT (Internet of Things) is also bringing an uncountable amount of data, which will promote the statistical analysis and management at the top of the priorities list. 1 for data analytics trends in 2020.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

CIO Business Intelligence

OCTOBER 2, 2024

Cities are embracing smart city initiatives to address these challenges, leveraging the Internet of Things (IoT) as the cornerstone for data-driven decision making and optimized urban operations. Smart home devices are also integrated with energy management systems to optimize consumption and costs.

IoT 123

IoT Internet of Things Predictive Modeling Data-driven 123

Smart Data Collective

MARCH 29, 2021

Such technologies include Digital Twin tools, Internet of Things, predictive maintenance, Big Data, and artificial intelligence. Companies need to make the most out of their data resources, which includes collecting and processing them correctly. Additionally, data collection becomes a costly process.

Big Data 140

Big Data Management Cost-Benefit Internet of Things 140

Rocket-Powered Data Science

JUNE 17, 2022

release enables DevSecOps users to gain more insights from Observability data with Federated Search, with the ability to correlate ops with security alerts, and with Edge Management, all in one platform. My closing thought — Cybersecurity is basically Data Analytics: detection, prediction, prescription, and optimizing for unpredictability.

Machine Learning 238

Machine Learning Recreation/Entertainment Risk Business Objectives 238

AWS Big Data

SEPTEMBER 11, 2024

Aruba offers networking hardware like access points, switches, routers, software, security devices, and Internet of Things (IoT) products. Conclusion In this post, we showed you how HPE Aruba Supply Chain successfully re-architected and deployed their data solution by adopting a modern data architecture on AWS.

Data Architecture 111

Data Architecture Optimization Data Warehouse Metadata 111

CIO Business Intelligence

JUNE 13, 2024

CIOs expect organizations to explore and invest in emerging technologies such as artificial intelligence and the Internet of Things to drive innovation and competitive advantage. AI technologies enable organizations to automate processes, personalize customer experiences, and uncover insights from vast amounts of data.

Internet of Things 105

Internet of Things IoT IT Digital Transformation 105

CIO Business Intelligence

DECEMBER 19, 2024

Government agencies and nonprofits also seek IT talent for environmental data analysis and policy development. IT professionals with expertise in cloud architecture and optimization are needed to ensure these systems are scalable, efficient, and capable of real-time environmental monitoring, Breckenridge says.

IT 52

IT IoT Machine Learning Optimization 52

Smart Data Collective

SEPTEMBER 23, 2020

Many people are confused about these two, but the only similarity between them is the high-level principle of data storing. It is vital to know the difference between the two as they serve different principles and need diverse sets of eyes to be adequately optimized. Data Warehouse.

Data Lake 135

Data Lake Data Warehouse Unstructured Data Big Data 135

Smart Data Collective

JULY 19, 2019

Many years of experience make it possible for Comarch to help telecom and digital service providers innovate and automate their processes to effectively face new technologies such as artificial intelligence, 5G, the Internet of Things, and more. They are one of the companies that is proving to be a pioneer in big data for telecom.

Big Data 101

Big Data Internet of Things IoT B2B 101

IBM Big Data Hub

JUNE 14, 2023

An innovative application of the Industrial Internet of Things (IIoT), SM systems rely on the use of high-tech sensors to collect vital performance and health data from an organization’s critical assets. 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

SEPTEMBER 23, 2024

Data-driven insights are only as good as your data Imagine that each source of data in your organization—from spreadsheets to internet of things (IoT) sensor feeds—is a delegate set to attend a conference that will decide the future of your organization.

Manufacturing 122

Manufacturing Internet of Things Metadata Risk 122

Smart Data Collective

APRIL 24, 2019

Investing in analytics isn’t something to take lightly, but companies that do it well can set themselves up for success they didn’t even know was attainable. Who’s Using Analytics in Manufacturing? Broadly speaking, big data analytics is your company’s ticket to efficiency and productivity improvements.

Analytics 104

Analytics Manufacturing Cost-Benefit Internet of Things 104

Rocket-Powered Data Science

OCTOBER 6, 2023

Decades (at least) of business analytics writings have focused on the power, perspicacity, value, and validity in deploying predictive and prescriptive analytics for business forecasting and optimization, respectively. Another way of saying this is: given some desired optimal outcome Y, what conditions X should we put in place.

Business Analytics 157

Business Analytics Prescriptive Analytics Analytics Statistics 157

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. Natural Language Processing and Report Generation. The Growing BI Analyst Shortage.

Business Intelligence 132

Business Intelligence Predictive Analytics Data Collection Internet of Things 132

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 Internet of Things 133

CIO Business Intelligence

MARCH 30, 2022

Emerging technologies such as artificial intelligence (AI), machine learning (ML), augmented reality (AR), the Internet of Things (IoT) and quantum computing can help organizations scale on demand, improve resiliency, minimize infrastructure investments and deploy solutions rapidly and securely. Ghislaine Entwistle. perhaps, ….”organize

Technology 98

Technology Internet of Things ROI IoT 98

erwin

JUNE 11, 2020

Data intelligence transforms the way industries operate by enabling businesses to hasten the process of analyzing and understanding the derived information with its more understandable models and aggregated trends. Big IT companies even have off-the-shelf data analytics software ready to be configured by a company to their needs.

Key Performance Indicator 103

Key Performance Indicator KPI Data-driven Machine Learning 103

Smart Data Collective

APRIL 7, 2022

Companies in the distribution industry are particularly dependent on data, due to the complicated logistics issues they encounter. There are many reasons that data analytics and data mining are vital aspects of modern e-commerce strategies.

B2B 128

B2B Big Data Sales Cost-Benefit 128

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. Credit Management.

Risk Management 92

Risk Management Risk Management Big Data 92

CIO Business Intelligence

AUGUST 25, 2023

But things go awry and when they do, Proctor & Gamble now employs its Hot Melt Optimization platform to catch snags and get the process back on track. The data is fed into analytics platforms and in-house developed code to identify errors or anomalies that must be corrected in real-time — while not taking the manufacturing offline.

Predictive Analytics 98

Predictive Analytics IoT Manufacturing Analytics 98

CIO Business Intelligence

JANUARY 12, 2023

Diverse problems as solutions On the ground, things are already changing with a multitude of start-ups solving a variety of agricultural problems with drone technology, precision agriculture and Internet of Things (IoT) solutions. The scope of technology in this sphere is vast and is an important driver of change.

IoT 143

IoT Consulting Internet of Things Technology 143

AWS Big Data

MAY 3, 2023

In this post, we provide a detailed overview of streaming messages with Amazon Managed Streaming for Apache Kafka (Amazon MSK) and Amazon ElastiCache for Redis , covering technical aspects and design considerations that are essential for achieving optimal results. We also discuss the key features, considerations, and design of the solution.

IoT 111

IoT Internet of Things Data Transformation Management 111

AWS Big Data

MAY 30, 2023

Traditional batch ingestion and processing pipelines that involve operations such as data cleaning and joining with reference data are straightforward to create and cost-efficient to maintain. You will also want to apply incremental updates with change data capture (CDC) from the source system to the destination.

Data Lake 98

Data Lake Data Analytics Analytics Data Processing 98

Sisense

FEBRUARY 6, 2020

In Data Surrounds Us , we take a look at how technology is used to optimize the processes and decisions we make in our professional and personal lives. It won’t come as a shock that working in a data analytics company means data is one of our principal obsessions. We’re evangelists. billion by 2023.

Visualization 97

Visualization Internet of Things Data Analytics Analytics 97

CIO Business Intelligence

JANUARY 24, 2024

Building a successful data strategy at scale goes beyond collecting and analyzing data,” says Ryan Swann, chief data analytics officer at financial services firm Vanguard. What’s the point of investing time and money on a strategy that lacks focus?

Data Strategy 136

Data Strategy Strategy Unstructured Data Data Governance 136

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 Let’s look at a few ways that different industries take advantage of streaming data.

Dashboards 98

Dashboards IoT Optimization Internet of Things 98

AWS Big Data

MARCH 20, 2024

When integrated with Lambda, it allows for serverless data processing, enabling you to analyze and react to data streams in real time without managing infrastructure. In this post, we demonstrate how you can process data ingested into a stream in one account with a Lambda function in another account.

Internet of Things 135

Internet of Things IoT Manufacturing Data Processing 135

AWS Big Data

APRIL 11, 2023

Accurately predicting demand for products allows businesses to optimize inventory levels, minimize stockouts, and reduce holding costs. 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.

Forecasting 98

Forecasting Management IoT Data-driven 98

CIO Business Intelligence

MAY 16, 2022

To reap the benefits, organizations need to modernize with a decentralized data strategy that delivers the speed and flexibility necessary for driving smarter outcomes for the business. The concept of the edge is not new, but its role in driving data-first business is just now emerging.

IoT 98

IoT Internet of Things Data Warehouse Machine Learning 98

Sisense

JULY 23, 2021

We focus on the core games management systems, which generate a lot of key operational data, so we’ve been naturally a lot more inquisitive of those datasets. We are focused on unpicking them, really analyzing them to understand what they tell us about Games optimization.”. Data will create a better-connected future.

Unstructured Data 105

Unstructured Data Internet of Things Data-driven Data Processing 105

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 134

Analytics IoT Data-driven Snapshot 134

AWS Big Data

AUGUST 1, 2024

This includes the ETL processes that capture source data, the functional refinement and creation of data products, the aggregation for business metrics, and the consumption from analytics, business intelligence (BI), and ML. This will enable right-sizing the Redshift data warehouse to meet workload demands cost-effectively.

Data Warehouse 115

Data Warehouse KPI Optimization Cost-Benefit 115

Sisense

MAY 11, 2021

You can’t talk about data analytics without talking about data modeling. These two functions are nearly inseparable as we move further into a world of analytics that blends sources of varying volume, variety, veracity, and velocity. filling in nulls, changing time zones, formatting strings, conditional logic, etc.)

Modeling 84

Modeling Big Data IoT Data Warehouse 84

IBM Big Data Hub

JUNE 29, 2023

Digitalization has had a profound impact on the manufacturing sector, enabling businesses to optimize processes, improve quality and reduce costs. It integrates advanced technologies—like the Internet of Things (IoT), artificial intelligence (AI) and cloud computing —into an organization’s existing manufacturing processes.

Manufacturing 54

Manufacturing Internet of Things Cost-Benefit Digital Transformation 54