Smart Data Collective

SEPTEMBER 11, 2020

Savvy technology evangelists recognize the importance of AI in the 21 st Century, especially as Internet technology continues to evolve. AI is especially important in shaping the future of networking. An article in CISCOMAG talks about the benefits of using AI in improving network security. Internet of Things.

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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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Towards AI

FEBRUARY 15, 2024

Author(s): Jennifer Wales Originally published on Towards AI. AI Engineers: Your Definitive Career Roadmap Become a professional certified AI engineer by enrolling in the best AI ML Engineer certifications that help you earn skills to get the highest-paying job.

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Dataconomy

MARCH 4, 2025

Increased adoption of artificial intelligence in cybersecurity AI is reshaping cybersecurity, enabling faster, more accurate threat detection and response. According to MarketsandMarkets, the AI in cybersecurity market, which was valued at $22.4 He emphasizes that AI will play a central role in adaptive, predictive defenses.

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Dataconomy

AUGUST 24, 2023

From augmented analytics and AI-driven insights to the convergence of BI and machine learning, these trends are poised to redefine how organizations derive value from their data. This transformation from raw data to actionable intelligence is the catalyst that propels companies toward sustainable success.

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AWS Machine Learning Blog

MARCH 19, 2024

In the evolving landscape of manufacturing, the transformative power of AI and machine learning (ML) is evident, driving a digital revolution that streamlines operations and boosts productivity. However, this progress introduces unique challenges for enterprises navigating data-driven solutions.

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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. Companies can also use AI systems to identify anomalies and equipment defects.

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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 Connect

JULY 24, 2023

Department of Agriculture (USDA) is set to invest $300 million in a transformative initiative aimed at bolstering climate data applications in agriculture and forestry. Data scientists play a pivotal role in designing and implementing advanced climate data systems.

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Smart Data Collective

NOVEMBER 25, 2019

New technologies, especially those driven by artificial intelligence (or AI), are changing how businesses collect and extract usable insights from data. New Avenues of Data Discovery. These new avenues of data discovery will give business intelligence analysts more data sources than ever before.

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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. In 2025, AI has matured into a practical, accessible technology that delivers tangible value across sectors.

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Data Science Connect

JULY 26, 2023

Integrating Sustainability Metrics into Cybersecurity Strategies Data scientists can integrate sustainability metrics into cybersecurity strategies, aligning security measures with broader sustainability goals. This approach ensures that cybersecurity efforts not only protect data but also contribute to sustainable practices.

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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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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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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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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 such tools it will be much easier for you to visualize all these piles of numbers that you get from IoT devices.

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Dataconomy

FEBRUARY 24, 2023

Nowadays, almost everyone wants to learn how to use AI, and it would be quite wrong to say that these requests are unreasonable. In 2022, the AI market was worth an estimated $70.9 Naturally, AI experts will get the biggest slice of the pie and the need for AI expertise is rising rapidly along with the field itself.

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ODSC - Open Data Science

MAY 19, 2025

Artificial intelligence (AI) could help with its predictive analytics capabilities. 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. An AI can pinpoint what is most important based on the organization.

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Pickl AI

SEPTEMBER 13, 2024

Summary: This blog examines the role of AI and Big Data Analytics in managing pandemics. It covers early detection, data-driven decision-making, healthcare responses, public health communication, and case studies from COVID-19, Ebola, and Zika outbreaks, highlighting emerging technologies and ethical considerations.

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Applied Data Science

JANUARY 4, 2022

Trying to make a summary of what happened in the world of AI out of a long and vague chain of events? To write this post we shook the internet upside down for industry news and research breakthroughs and settled on the following 5 themes, to wrap up 2021 in a neat bow: ? Transformers taking the AI world by storm ?

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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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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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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. Predictive maintenance leverages new technologies like artificial intelligence , machine learning and the Internet of Things (IoT) to generate insights.

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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 21, 2023

As humanity has made huge technological advances in the last 30 years, especially in the last quarter of 2022, with AI-powered chatbots taking their place in our culture, the existence of an automated environment has started to seem like an inevitable reality rather than a shocking possibility.

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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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phData

DECEMBER 4, 2024

Generative AI might be the hottest buzzword in nearly every industry (especially in manufacturing), but it’s also one of the most misunderstood concepts. Despite all the mysticism, generative AI is remarkable and worth the hype. Why Implement Generative AI in Manufacturing? Why Implement Generative AI in Manufacturing?

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Pickl AI

OCTOBER 3, 2024

Summary: No-code AI platforms enable users to develop Artificial Intelligence applications without programming knowledge. Businesses can automate tasks, personalise customer experiences, and make data-driven decisions quickly and cost-effectively.

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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,

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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? What is an IoT ecosystem diagram?

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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? What is an IoT ecosystem diagram?

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Defined.ai blog

SEPTEMBER 5, 2023

Specifically, retail sales data is emerging as a goldmine for businesses looking to leverage AI. But what exactly is retail sales data, and why is it taking center stage in AI advancements? With the advance of smart devices and the Internet of Things, the depth and breadth of this data have only expanded.

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Pickl AI

JULY 31, 2023

While the revolution began with the surge of the internet, but the two revolutionary technologies that stirred a wave of change are Blockchain and Artificial Intelligence. While the concept of Blockchain is fairly new, the term AI or Artificial Intelligence was coined in 1955. In this blog, we are going to explore this aspect closely.

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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. Exploring the dynamic fusion of AI and the IoT M2M vs IoT The main difference between M2M and IoT is the scope of the network.

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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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IBM Journey to AI blog

JULY 5, 2023

In the IoT era—with everything from valves to vehicles connected by sensors and systems—maintenance operators now have the opportunity to incorporate advanced analytics and artificial intelligence (AI) into everything they do.

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