Smart Data Collective

JANUARY 11, 2021

We have talked about a number of changes that big data has created for the manufacturing sector. Cloud computing involves using a network of remote internet servers to store, manage, and process data, instead of using a local server on a personal computer. Supports Manufacturing Supply Chain Integration.

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Cloud Computing Big Data Big Data Internet of Things 128

Dataconomy

MAY 15, 2023

It shares similarities with cloud computing and therefore necessitates a cloud-like infrastructure to deliver its services effectively. While it is true that both grid computing and utility computing paved the way for cloud computing, they can now be seen as earlier implementations of the broader cloud computing paradigm.

Cloud Computing 101

Cloud Computing Data Analysis Data Analysis AI 101

Dataconomy

MAY 24, 2023

Data analysis and insights Data is a valuable asset for startups, providing insights into customer behavior, market trends and operational efficiency. Using data analytics tools, startups can extract meaningful information and make data-driven decisions.

Cloud Computing 142

Cloud Computing Data Analysis Data Analysis Analytics 142

Smart Data Collective

DECEMBER 1, 2022

The world of big data is constantly changing and evolving, and 2021 is no different. As we look ahead to 2022, there are four key trends that organizations should be aware of when it comes to big data: cloud computing, artificial intelligence, automated streaming analytics, and edge computing.

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Big Data Big Data Natural Language Processing Artificial Intelligence 145

Data Science Dojo

OCTOBER 4, 2024

Bureau of Labor Statistics projects a steady demand for Database Administrators, reflecting the critical nature of their role in managing and securing data. Other notable employers in the computer science industry include Intel, IBM, and Cisco, along with many smaller organizations that also employ computer and IT professionals.

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Computer Science Computer Science Database Administration Data Scientist 418

Data Science Dojo

FEBRUARY 20, 2023

Spark is a general-purpose distributed data processing engine that can handle large volumes of data for applications like data analysis, fraud detection, and machine learning. It offers a range of products, including Google Cloud Storage, Google Cloud Deployment Manager, Google Cloud Functions, and others.

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Smart Data Collective

DECEMBER 9, 2021

A number of new trends in big data are affecting the direction of the accounting sector. Big Data is Leading to Monumental Changes in Accounting. A lot of recent technology, such as cloud computing, automation, and SEO , are already in practice. Anyone working in this field should be familiar with them.

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Big Data Big Data Machine Learning Machine Learning 133

AWS Machine Learning Blog

FEBRUARY 21, 2025

Additionally, Amazon Q Business seamlessly integrates with multiple enterprise data stores , including FSx for Windows File Server, enabling you to index documents from file server systems and perform tasks such as summarization, Q&A, or data analysis of large numbers of files effortlessly.

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Smart Data Collective

FEBRUARY 20, 2022

AWS (Amazon Web Services), the comprehensive and evolving cloud computing platform provided by Amazon, is comprised of infrastructure as a service (IaaS), platform as a service (PaaS) and packaged software as a service (SaaS). With its wide array of tools and convenience, AWS has already become a popular choice for many SaaS companies.

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Smart Data Collective

JUNE 4, 2021

it is overwhelming to learn data science concepts and a general-purpose language like python at the same time. Exploratory Data Analysis. Exploratory data analysis is analyzing and understanding data. For exploratory data analysis use graphs and statistical parameters mean, medium, variance.

Data Science 133

Data Science Exploratory Data Analysis Machine Learning Machine Learning 133

Dataversity

DECEMBER 16, 2020

Deep learning is the basis for many complex computing tasks, including natural language processing (NLP), computer vision, one-to-one personalized marketing, and big data analysis. Click here to learn more about Gilad David Maayan. The post Understanding GPUs for Deep Learning appeared first on DATAVERSITY.

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Deep Learning Deep Learning Natural Language Processing Big Data 98

IBM Journey to AI blog

JUNE 14, 2023

Key SM tools include the following: Industrial Internet of Things (IIoT) The IIoT is a network of interconnected machinery, tools and sensors that communicate with each other and the cloud to collect and share data. Optimize workflows by analyzing data from multiple sources (e.g.,

Internet of Things 91

Internet of Things Cloud Computing Predictive Analytics Analytics 91

Smart Data Collective

OCTOBER 13, 2021

Multi-channel publishing of data services. Agile BI and Reporting, Single Customer View, Data Services, Web and Cloud Computing Integration are scenarios where Data Virtualization offers feasible and more efficient alternatives to traditional solutions. Does Data Virtualization support web data integration?

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Data Visualization Big Data Big Data Predictive Analytics 145

AWS Machine Learning Blog

APRIL 7, 2025

This not only speeds up content production but also allows human writers to focus on more creative and strategic tasks. - **Data Analysis and Summarization**: These models can quickly analyze large volumes of data, extract relevant information, and summarize findings in a readable format.

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AWS Machine Learning Machine Learning AI 121

Dataconomy

MAY 23, 2023

By processing data locally at the edge, edge computing reduces latency, improves real-time responsiveness, and enhances overall system performance. The key idea behind edge computing is to bring computation closer to the data source, which offers several advantages.

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Cloud Computing Analytics Analytics Data Analysis 164

Analytics Vidhya

FEBRUARY 17, 2023

Introduction Are you curious about the latest advancements in the data tech industry? Perhaps you’re hoping to advance your career or transition into this field. In that case, we invite you to check out DataHour, a series of webinars led by experts in the field.

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Analytics Analytics Data Pipeline Data Warehouse 319

Analytics Vidhya

MARCH 31, 2023

Introduction Publish and Subscribe is a messaging mechanism having one or a set of senders sending messages and one or a group of receivers receiving these messages.

Analytics 328

Analytics Analytics Data Warehouse Data Engineering 328

Analytics Vidhya

FEBRUARY 2, 2023

Introduction Data analytics solutions collect, process, and analyze data to extract insights and make informed business decisions. The need for a data analytics solution arises from the increasing amount of data organizations generate and the need to extract value from that data.

Analytics 301

Analytics Analytics Data Visualization Data Analysis 301

O'Reilly Media

SEPTEMBER 19, 2023

Cloud computing? It progressed from “raw compute and storage” to “reimplementing key services in push-button fashion” to “becoming the backbone of AI work”—all under the umbrella of “renting time and storage on someone else’s computers.” Next up is compute power.

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Data Science Connect

JULY 28, 2023

Edge AI for Real-Time Decision-Making Edge AI brings AI processing capabilities to IoT devices at the network edge, reducing latency and empowering IoT devices to make real-time decisions without relying on cloud computing.

Internet of Things 130

Internet of Things Data Engineering Data Engineering Data Engineering 130

Dataconomy

FEBRUARY 6, 2024

Besides, natural language processing (NLP) allows users to gain data insight in a conversational manner, such as through ChatGPT, making data even more accessible. Microsoft has reported a 27 percent increase in profit due to its focus on cloud computing and investments in artificial intelligence.

ML 121

ML ML Machine Learning Machine Learning 121

Analytics Vidhya

APRIL 3, 2023

Introduction Companies can access a large pool of data in the modern business environment, and using this data in real-time may produce insightful results that can spur corporate success. Real-time dashboards such as GCP provide strong data visualization and actionable information for decision-makers.

Data Engineering 319

Data Engineering Data Engineering Data Engineer Data Engineering 319

IBM Journey to AI blog

DECEMBER 7, 2023

Online analytical processing (OLAP) database systems and artificial intelligence (AI) complement each other and can help enhance data analysis and decision-making when used in tandem. Security and compliance : Ensuring data security and compliance with regulatory requirements in the cloud environment can be complex.

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Data Preparation Database Data Analysis Data Analysis 72

IBM Journey to AI blog

JANUARY 30, 2024

Healthcare: Support telemedicine and patient data analytics, requiring stringent compliance regulations. Retail: Manage e-commerce platforms, customer data analytics and supply chain logistics, where data analysis often must occur at the edge.

Cloud Computing 89

Cloud Computing Analytics Analytics Data Analysis 89

Data Science Connect

JULY 26, 2023

The Emergence of Edge Computing: A Game-Changer Edge computing has emerged as a game-changing technology, revolutionizing how data is processed and delivered. Unlike traditional cloud computing, where data is sent to centralized data centers, edge computing brings processing closer to the data source.

Data Scientist 100

Data Scientist Internet of Things Cloud Computing Azure 100

Analytics Vidhya

FEBRUARY 4, 2023

Introduction This article will explain the difference between ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) when data transformation occurs. In ETL, data is extracted from multiple locations to meet the requirements of the target data file and then placed into the file.

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Data Science 101

DECEMBER 5, 2019

Data Analysis as a career. As per the Harvard Business Review , it is Data Scientist. Though, technically, Data Scientists are a few notches above Data Analysts, becoming a Data Analyst makes it easier for you to become a Data Scientist. Do you know which the sexiest job of the 21st Century is?

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Data Analyst Data Scientist Data Analysis Data Analysis 88

Smart Data Collective

MAY 19, 2021

Back-end System for Data Acquisition, Storage, and Analytics. Amazon, for instance, provides an entire suite of services that allow developers to integrate connectivity into hardware, design scalable home automation solutions , and apply advanced machine learning algorithms while conducting sensor data analysis.

AI 134

AI AI Analytics Analytics 134

Dataconomy

JULY 14, 2023

Wireless networks are often used in M2M applications because they allow devices to communicate without being connected to a wired network Cloud computing : Cloud computing is used to store and process data that is collected from M2M devices.

Cloud Computing 91

Cloud Computing Machine Learning Machine Learning Internet of Things 91

Dataconomy

MAY 12, 2023

Reducing the processing time required for genomic data analysis, thereby expediting the discovery process for diseases like cancer, cystic fibrosis (CF), and Alzheimer’s. Distributed computing aids in managing and analyzing large-scale genomic datasets efficiently.

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Cloud Computing Clustering Database Data Analysis 87

Data Science Blog

NOVEMBER 15, 2023

The lower part of the iceberg is barely visible to the normal analyst on the tool interface, but is essential for implementation and success: this is the Event Log as the data basis for graph and data analysis in Process Mining. The creation of this data model requires the data connection to the source system (e.g.

Data Modeling 245

Data Modeling Data Models Business Intelligence Business Intelligence 245

ODSC - Open Data Science

FEBRUARY 17, 2023

Knowing how spaCy works means little if you don’t know how to apply core NLP skills like transformers, classification, linguistics, question answering, sentiment analysis, topic modeling, machine translation, speech recognition, named entity recognition, and others.

Deep Learning 111

Deep Learning Deep Learning Data Science Natural Language Processing 111

Pickl AI

JULY 30, 2024

The University of Nottingham offers a Master of Science in Bioinformatics, which is aimed at students with a background in biological sciences who wish to develop skills in bioinformatics, statistics, computer programming , and Data Analytics. Familiarise yourself with data analysis tools such as RStudio, Jupyter Notebook, and Excel.

Cloud Computing 52

Cloud Computing Machine Learning Machine Learning Power BI 52

Data Science Dojo

MAY 24, 2024

Navigate through 6 Popular Python Libraries for Data Science R R is another important language, particularly valued in statistics and data analysis, making it useful for AI applications that require intensive data processing. Python’s versatility allows AI engineers to develop prototypes quickly and scale them with ease.

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Smart Data Collective

JULY 2, 2019

Kaiserwetter, a German data analytics firm that specializes in managing wind farms, has developed a pioneering system that combines several digital technologies that are making headway.

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Analytics Analytics Big Data Big Data 97

IBM Journey to AI blog

NOVEMBER 13, 2023

Large-scale app deployment Heavily trafficked websites and cloud computing applications receive millions of user requests each day. A key advantage of using Kubernetes for large-scale cloud app deployment is autoscaling.

Machine Learning 129

Machine Learning Machine Learning ML ML 129

Pickl AI

DECEMBER 4, 2024

Currently, organisations across sectors are leveraging Data Science to improve customer experiences, streamline operations, and drive strategic initiatives. A key aspect of this evolution is the increased adoption of cloud computing, which allows businesses to store and process vast amounts of data efficiently.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52