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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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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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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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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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.

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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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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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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 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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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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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.

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Smart Data Collective

JANUARY 10, 2023

Today there are various tools that rely on ML and AI technologies which help them to understand the received data and further present them in a convenient format. 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

SEPTEMBER 21, 2021

Recognizing the potential of data, organizations are trying to extract values from their data in various ways to create new revenue streams and reduce the cost and resources required for operations. The increased amounts and types of data, stored in various locations eventually made the management of data more challenging.

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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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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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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.

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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.

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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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AWS Machine Learning Blog

MARCH 19, 2024

Agents like PandasAI come into play, running this code on high-resolution time series data and handling errors using FMs. PandasAI is a Python library that adds generative AI capabilities to pandas, the popular data analysis and manipulation tool. PandasAI sends this custom prompt to the Amazon Bedrock Claude v2 model.

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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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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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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

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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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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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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Pickl AI

JUNE 18, 2024

Summary: This blog dives into the most promising Power BI projects, exploring advanced data visualization, AI integration, IoT & blockchain analytics, and emerging technologies. Discover best practices for successful implementation and propel your organization towards data-driven success.

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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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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

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.

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IBM Journey to AI blog

SEPTEMBER 4, 2024

Producers and consumers A ‘producer’, in Apache Kafka architecture, is anything that can create data—for example a web server, application or application component, an Internet of Things (IoT) , device and many others. Here are a few of the most striking examples.

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Applied Data Science

JANUARY 4, 2022

As the State of AI report for 2021 communicates through data analysis from various sources, the maturity reached by certain AI-enabled technologies is leading to adoption levels that speak of digital transformation. In 2021, according to the UK National Grid ESO, the use of Transformers halved the error in demand forecast .

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Pickl AI

SEPTEMBER 13, 2024

By harnessing Big Data Analytics, policymakers can make informed decisions based on real-time information. Evidence-Based Policy AI and Big Data Analytics provide policymakers with the evidence needed to formulate effective public health policies. Zika The Zika virus outbreak highlighted the importance of real-time Data Analysis.

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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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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.

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