Smart Data Collective

FEBRUARY 28, 2021

In the hiring process, you can use data analytics to identify those candidates who will be most likely to stay the longest. To keep them around, you can collect employee surveys and use data analysis to identify patterns in employee satisfaction or, as the case may be, dissatisfaction. Manage Equipment and Fleets.

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Data Science Connect

JULY 28, 2023

The ever-expanding Internet of Things (IoT) ecosystem is set to experience a monumental transformation as Artificial Intelligence (AI) steps into the picture. As data scientists, understanding this transformative synergy between AI and IoT is essential to unlock new possibilities in connectivity, data analysis, and decision-making.

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Smart Data Collective

SEPTEMBER 11, 2020

Networking technologies have been in existence for many decades with a singular purpose – the improvement of data transmission and circulation through the use of information systems. Internet of Things. In this digital age, people rely more on the internet to find and share information.

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Smart Data Collective

DECEMBER 1, 2022

We should expect to analyze big data in the future as businesses are looking more closely to use it to remain competitive. This post outlines five current trends in big data for 2022 and beyond. Streaming analytics is a new trend in data analysis that has been gaining popularity in the past few years.

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Dataconomy

AUGUST 24, 2023

Business intelligence projects merge data from various sources for a comprehensive view ( Image credit ) Good business intelligence projects have a lot in common One of the cornerstones of a successful business intelligence (BI) implementation lies in the availability and utilization of cutting-edge BI tools such as Microsoft’s Fabric.

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Data Science Dojo

JANUARY 12, 2023

By using this method, you may speed up the process of defining data structures, schema, and transformations while scaling to any size of data. Through data crawling, cataloguing, and indexing, they also enable you to know what data is in the lake. Data lake vs data warehouse: Which is right for me?

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Data Science Connect

JULY 24, 2023

By leveraging AI and machine learning algorithms, they can analyze vast amounts of environmental data, weather patterns, and historical records to provide farmers with real-time insights and predictive analytics for informed decision-making. Climate change has contributed to an increase in forest wildfires and other natural disasters.

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Dataconomy

MARCH 4, 2025

This surge in AI use is driven by the need for real-time data analysis and incident response capabilities that can identify anomalies before they escalate. IoT security threats boom While the Internet of Things (IoT) has transformed industries, it also exposes businesses to new cybersecurity risks. billion by 2028.

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Data Science Connect

JULY 26, 2023

Protecting Data and Infrastructure In an increasingly data-driven world, protecting valuable data and digital infrastructure is paramount for both businesses and individuals. Cybersecurity safeguards critical information, preventing data breaches and cyber-attacks that could have significant environmental consequences.

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Data Science Connect

JULY 23, 2023

The automotive industry is on the brink of a technological revolution, powered by the seamless integration of the Internet of Things (IoT). This global transformation is set to redefine the future of transportation, as data-driven insights, connected vehicles, and smart infrastructure create a new era of mobility.

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IBM Journey to AI blog

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. What’s the biggest challenge manufacturers face right now?

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IBM Journey to AI blog

JUNE 20, 2023

Opportunities with data-driven digital twins Much has happened in engineering (e.g., detecting and preventing failures through sensor data analysis) and after sales (e.g., detecting trends through social media analysis) through the usage of data analytics. Warranty management is a continuous process.

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Smart Data Collective

JANUARY 10, 2023

BI and IoT are a perfect duo as while IoT devices can gather important data in a real team, BI software is intended for processing and visualizing this information. Proceed to data analysis. Thanks to these tools you can find any information you need to make the analysis as efficient as possible.

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Smart Data Collective

NOVEMBER 25, 2019

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. In the future, companies that come to rely on these new data sources will also need to protect that data — or risk the consequences.

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Smart Data Collective

JANUARY 11, 2021

The cloud enables manufacturers to use many new forms of production systems as well, from 3D printing and the Internet of Things to high-performance computing and industrial robots. That means machine operators can make faster and more informed decisions about machine capabilities. Can Help to Provide Better Quality.

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Smart Data Collective

FEBRUARY 1, 2023

While hospitals mostly do the same things, the communities that they serve can be very different. Data analysis allows Town X’s hospital to anticipate what sort of medical conditions these high obesity levels will produce, and plan accordingly. Data points they might otherwise have only gotten once a year.

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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. But how can the “Internet of Things” contribute to energy efficiency?

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Dataconomy

MAY 21, 2024

This efficiency also allows Small Language Models to process data locally, which enhances privacy and security for Internet of Things (IoT) edge devices and organizations with strict regulations, especially valuable for real-time response applications or settings with stringent resource limitations.

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Dataconomy

APRIL 27, 2023

Online transaction processing (OLTP) is a data processing technique that involves the concurrent execution of multiple transactions, such as online banking, shopping, order entry, or text messaging. Initially, the OLTP concept was restricted to in-person exchanges that involved the transfer of goods, money, services, or information.

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ODSC - Open Data Science

MAY 19, 2025

Identifying High-Risk Areas An AI can look at accreditation expectations and survey data from the past and combine it with incident reports, consumer reviews, and complaints. Then, it can synthesize the information to discover the areas most prone to failing against the standards. High-risk areas depend on the accreditation body.

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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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Smart Data Collective

APRIL 24, 2019

But setting these vital enterprises up for maximum success and unrivaled innovation takes information — and that means gathering data. If you represent a manufacturing concern and you’re wondering about the benefits of capturing and analyzing operational data , you’ve come to the right place.

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Towards AI

FEBRUARY 15, 2024

AI has proven to be a boon for the modern world, with applications across tech innovations like IoT (Internet of Things), AR/VR, robotics, and more. Day in the Life of an AI engineer AI engineers work in various industries as specialists in data science, software engineering, and programming.

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AWS Machine Learning Blog

MARCH 19, 2024

Workers gain productivity through AI-generated insights, engineers can proactively detect anomalies, supply chain managers optimize inventories, and plant leadership makes informed, data-driven decisions. Agents like PandasAI come into play, running this code on high-resolution time series data and handling errors using FMs.

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Pickl AI

NOVEMBER 8, 2023

Python’s data analysis and visualization libraries, such as Pandas and Matplotlib, empower Data Scientists and analysts to derive valuable insights. It is widely used for data analysis, modeling, and building Machine Learning models. Its flexibility allows developers to work on diverse projects.

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How to Learn Machine Learning

MARCH 23, 2025

The convergence of artificial intelligence, quantum computing – quantumaipiattaforma.it , extended reality, and the Internet of Things has created a technological ecosystem that is greater than the sum of its parts. Computer Vision : AI systems can now interpret visual information with superhuman accuracy in many contexts.

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Pickl AI

JANUARY 16, 2024

Summary: The blog delves into the 2024 Data Analyst career landscape, focusing on critical skills like Data Visualisation and statistical analysis. It identifies emerging roles, such as AI Ethicist and Healthcare Data Analyst, reflecting the diverse applications of Data Analysis.

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Dataconomy

AUGUST 11, 2023

This data is then sent to central systems for analysis, where insights can be derived to make informed decisions. Data collection is the fundamental starting point for industrial IoT networking. The granularity and specificity of this data depend on the type of sensors used and the particular industry requirements.

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Dataconomy

AUGUST 21, 2023

This approach prioritizes subtlety and unobtrusiveness, allowing technology to provide valuable support and information without demanding our conscious attention. While it builds upon the foundation of the Internet of Things (IoT), which brought us connected devices, ambient computing takes this concept further.

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Dataconomy

MARCH 28, 2023

The emergence of the Internet of Things (IoT) has led to the proliferation of connected devices and sensors that generate vast amounts of data. This data is a goldmine of insights that can be harnessed to optimize various systems and processes. What is an IoT ecosystem?

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Dataconomy

MARCH 28, 2023

The emergence of the Internet of Things (IoT) has led to the proliferation of connected devices and sensors that generate vast amounts of data. This data is a goldmine of insights that can be harnessed to optimize various systems and processes. What is an IoT ecosystem?

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Pickl AI

SEPTEMBER 13, 2024

In this context, Artificial Intelligence (AI) and Big Data Analytics have emerged as powerful tools for enhancing pandemic response efforts. This blog explores the various applications of AI and Big Data Analytics in managing pandemics, drawing on case studies and emerging technologies.

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IBM Journey to AI blog

MAY 31, 2023

Sensors collect data in real-time, and it is fed into AI-enabled enterprise asset management (EAM) , computerized maintenance management systems (CMMS) and other maintenance software. Through these types of software, advanced data analysis tools and processes like machine learning (ML) can identify, detect and address issues as they occur.

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IBM Journey to AI blog

MARCH 8, 2024

From driverless cars to smarter cities, farms, and even shopping experiences, the latest standard in wireless networks is poised to transform the way we interact with information, devices and each other. As mobile technology has expanded over the years, the amount of data users generate every day has increased exponentially.

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Applied Data Science

JANUARY 4, 2022

The strength of Transformers lies in their attention mechanism : inspired from the human skill of focusing on information that is important and ignoring information irrelevant to a given task. The self-supervised Vision Transformer learned how to identify objects without labelled information. So how do Transformers work?

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IBM Journey to AI blog

SEPTEMBER 4, 2024

’ In Apache architecture, an event is any message that contains information describing what a user has done. A ‘consumer’ is any component that needs the data that’s been created by the producer to function. Here are a few of the most striking examples.

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Mlearning.ai

APRIL 10, 2023

With the emergence of data science and AI, clustering has allowed us to view data sets that are not easily detectable by the human eye. Thus, this type of task is very important for exploratory data analysis. Industrial Internet of Things (IIoT) The Constraints Within the area of Industry 4.0, Zhao, M.

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