Data Science Connect

JULY 26, 2023

By securing the data involved in supply chain operations, data scientists contribute to sustainable procurement and resource management. Environmentally-Friendly IoT Devices The Internet of Things (IoT) has the potential to revolutionize sustainability efforts.

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Data Science Connect

JULY 24, 2023

Precision agriculture, also known as smart farming, relies on data-driven technologies to tailor agricultural practices to specific field conditions. By integrating real-time data with AI models, farmers can optimize irrigation schedules, apply fertilizers more efficiently, and detect pest and disease outbreaks early.

Data Scientist 130

Data Scientist Internet of Things Predictive Analytics Machine Learning 130

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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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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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 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.

Data Scientist 130

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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 26, 2023

Unlike traditional cloud computing, where data is sent to centralized data centers, edge computing brings processing closer to the data source. This proximity significantly reduces latency and enhances real-time data analysis, making it indispensable for applications like IoT, autonomous vehicles, smart cities, and more.

Data Scientist 100

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Smart Data Collective

SEPTEMBER 11, 2020

Internet of Things. In this digital age, people rely more on the internet to find and share information. IoT is the technology that enhances communication by connecting network devices and collecting data. Internet of Things is a critical tool for businesses. AI has made it even more viable than ever.

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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.

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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. In order to have a good knowledge of data science, statistics, machine learning, and mathematics, AI engineers also need to be very skilled programmers.

AI 100

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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?

Data Science 70

Data Science Internet of Things Machine Learning Machine Learning 70

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?

Data Science 70

Data Science Internet of Things Machine Learning Machine Learning 70

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. Town Y, on the other hand, has a factory that produces high emissions.

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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?

Analytics 76

Analytics Analytics Big Data Big Data 76

Pickl AI

JUNE 29, 2023

Data Analysis is significant as it helps accurately assess data that drive data-driven decisions. Different tools are available in the market that help in the process of analysis. It is a powerful and widely-used platform that revolutionises how organisations analyse and derive insights from their data.

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IBM Journey to AI blog

MARCH 8, 2024

As mobile technology has expanded over the years, the amount of data users generate every day has increased exponentially. Currently, other transformational technologies like artificial intelligence (AI), the Internet of Things (IoT ) and machine learning (ML) require much faster speeds to function than 3G and 4G networks offer.

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Dataconomy

AUGUST 11, 2023

The goal here is to dissect the data, identify patterns, and derive meaningful insights that reflect the actual conditions and performance of the industrial equipment.

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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

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. Cloud computing is also helping manufacturing companies to reduce costs, innovate, and increase their competitiveness.

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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. It’s hard to tell if better education programs will improve the situation.

Business Intelligence 101

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Heartbeat

OCTOBER 23, 2023

Image from "Big Data Analytics Methods" by Peter Ghavami Here are some critical contributions of data scientists and machine learning engineers in health informatics: Data Analysis and Visualization: Data scientists and machine learning engineers are skilled in analyzing large, complex healthcare datasets.

Machine Learning 52

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Smart Data Collective

APRIL 24, 2019

You’re probably familiar with the concept of the Industrial Internet of Things , but you may be less familiar with the selection of data-gathering equipment available — such as sensors — with which you can retrofit your existing material handling apparatus and even your vehicular assets to gather relevant performance data.

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Pickl AI

JANUARY 3, 2024

The expanding Internet of Things (IoT) and the surge in edge computing contribute to the growth by generating vast datasets that necessitate skilled professionals for analysis. Industry sectors with the highest salary growth Specific industry sectors are poised for remarkable salary growth in 2024. from 2023 to 2030.

Machine Learning 52

Machine Learning Machine Learning Natural Language Processing Deep Learning 52

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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Internet of Things Cloud Computing Predictive Analytics Analytics 75

Defined.ai blog

SEPTEMBER 5, 2023

With the advance of smart devices and the Internet of Things, the depth and breadth of this data have only expanded. Now, even in-store foot traffic patterns, dwell times near promotional displays, and facial expressions can become part of this vast data tapestry.

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The MLOps Blog

FEBRUARY 5, 2023

We will also get familiar with tools that can help record this data and further analyse it. In the later part of this article, we will discuss its importance and how we can use machine learning for streaming data analysis with the help of a hands-on example. What is streaming data?

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Machine Learning Machine Learning Data Pipeline Apache Kafka 72

phData

SEPTEMBER 19, 2023

Real-time Data Ingestion and Processing Data lakes can handle real-time data streams, making them ideal for use cases that require immediate data ingestion and processing.

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Dataconomy

NOVEMBER 21, 2023

As Roosh Ventures notes, the data streaming market is rapidly evolving today. Big Data, the Internet of Things , and AI generate continuous streams of data but companies currently lack the infrastructure development experience to leverage this effectively.

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Pickl AI

JULY 20, 2023

Web and App Analytics Projects: These projects involve analyzing website and app data to understand user behaviour, improve user experience, and optimize conversion rates. Kaggle datasets) and use Python’s Pandas library to perform data cleaning, data wrangling, and exploratory data analysis (EDA).

Analytics 40

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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. References: Data lake vs data warehouse

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Dataconomy

AUGUST 21, 2023

While it builds upon the foundation of the Internet of Things (IoT), which brought us connected devices, ambient computing takes this concept further. IoT devices communicate over the internet, but ambient computing takes technology beyond connectivity. Think of a smart office powered by IoT.

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Dataconomy

JULY 14, 2023

The advent of the Internet of Things (IoT) further propelled the growth and adoption of M2M, creating an interconnected world where devices communicate seamlessly for improved efficiency and convenience. These objects can collect and exchange data, and they can be controlled remotely.

Cloud Computing 91

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Dataconomy

APRIL 27, 2023

Conversely, OLAP systems are optimized for conducting complex data analysis and are designed for use by data scientists, business analysts, and knowledge workers. OLAP systems support business intelligence, data mining, and other decision support applications.

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Pickl AI

JULY 23, 2023

Data Processing Data processing involves cleaning, transforming, and organizing the collected data to prepare it for analysis. This step is crucial for eliminating inconsistencies and ensuring data integrity. Data Analysis Data analysis is the heart of deriving insights from the gathered information.

Analytics 52

Analytics Analytics Predictive Analytics Data Analysis 52

Pickl AI

NOVEMBER 15, 2023

This empowers decision-makers at all levels to gain a comprehensive understanding of business performance, trends, and key metrics, fostering data-driven decision-making. Historical Data Analysis Data Warehouses excel in storing historical data, enabling organizations to analyze trends and patterns over time.

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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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