Data Science Connect

JULY 25, 2023

In today’s rapidly evolving technological landscape, the Internet of Things (IoT) has emerged as a game-changer across various industries. By incorporating sensors and machine learning algorithms, these advanced sorting machines can identify and segregate different types of materials accurately.

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Dataconomy

APRIL 3, 2025

VinAI, established in 2019 by Hung Bui (formerly of DeepMind), specializes in computer vision algorithms and language models. This marks Qualcomm’s second acquisition this year, following its purchase of San Jose-based Edge Impulse, an AI and Internet of Things company, in early March. Featured image credit

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Dataconomy

DECEMBER 16, 2016

Whether you are working in marketing, risk management, product design, finance, actuarial science, underwriting, or claim management, The post The Rise of Insurtech in the Age of Algorithms appeared first on Dataconomy.

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Dataconomy

AUGUST 29, 2023

The Internet of Things (IoT), a revolutionary network of interconnected devices and systems, is propelling us into a new era of possibilities. Internet of Things (IoT), has brought about revolutionary changes to the way we live, work, and interact with our surroundings.

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Dataconomy

MAY 30, 2023

Amazon Go stores are cashierless supermarkets that utilize a combination of computer vision, sensor fusion, and deep learning algorithms to enable a seamless shopping experience. Guaranteeing the security and reliability of underlying technologies, algorithms, and decision-making processes emerges as an imperative.

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Data Science Dojo

SEPTEMBER 8, 2023

It replaces complex algorithms with neural networks, streamlining and accelerating the predictive process. ML encompasses a range of algorithms that enable computers to learn from data without explicit programming. Techniques Uses statistical models, machine learning algorithms, and data mining.

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Data Science Dojo

APRIL 10, 2023

With the growth of the Internet of things (IoT) and the massive amounts of data generated by connected devices, data mining has become even more critical in today’s world. Selecting the right algorithm There are several data mining algorithms available, each with its strengths and weaknesses.

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Smart Data Collective

DECEMBER 3, 2021

You can also use your knowledge of big data to create AI algorithms that will prevent fraud in games that involve spending money. The radar analyzes the different areas in which this company, which specializes in emerging technologies such as the blockchain, big data, cloud and the Internet of Things, as well as machine learning.

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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. By learning from historical data and continuously monitoring network traffic, AI algorithms can identify abnormal activities indicative of potential cyber-attacks.

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Smart Data Collective

DECEMBER 1, 2022

The growth in edge computing is mainly due to the increasing popularity of Internet of Things (IoT) devices. Natural language processing uses various algorithms to read, decode, and comprehend human speech. The two most common types of algorithms are deep learning and machine translation.

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Dataconomy

NOVEMBER 21, 2023

This approach was fundamentally different from that of typical search engines, whose algorithms look for simple matches of words and phrases. Some of the algorithms were sold to Yandex, and I continued working in the field of artificial intelligence. In what area of medicine do you intend to use this algorithm?

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Dataconomy

APRIL 10, 2023

This is the world of the Industrial Internet of Things (IIoT). IoT, or the Internet of Things, refers to a network of physical objects, devices, vehicles, buildings, and other items that are embedded with sensors, software, and connectivity, enabling them to collect and exchange data with other devices and systems over the internet.

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Data Science Connect

JULY 24, 2023

The convergence of the Internet of Things (IoT) and Artificial Intelligence (AI) has paved the way for a global smart workplace revolution. AI-driven predictive maintenance algorithms can also identify potential equipment failures before they occur, ensuring uninterrupted operations and enhancing asset longevity.

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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. Internet of Things is a critical tool for businesses. By mimicking human intelligence and analyzing data with inbuilt algorithms, this technology is revolutionizing users’ networking experience.

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Dataconomy

MAY 4, 2023

By analyzing large datasets and recognizing patterns that may not be visible to the human eye, machine learning algorithms can provide unprecedented insights into patient health and enable medical professionals to make more informed decisions. What is machine learning?

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AWS Machine Learning Blog

APRIL 3, 2025

Computer vision algorithms analyze the video in real time. Once airborne, AWS IoT Core enables secure, bidirectional communicationallowing drones to receive real-time commands (like take-off, begin flight ID = xxx, or land), adjust flight paths, and transmit telemetry data back to AWS.

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Dataconomy

JULY 24, 2023

In 1843, Lovelace wrote an algorithm for the Analytical Engine, a theoretical computer that was designed by Charles Babbage. Lovelace’s algorithm is considered to be the first computer program ever written. Programming AI algorithms Machine programming is essential for creating the algorithms that drive AI systems.

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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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Data Science Connect

JULY 26, 2023

Using AI for Anomaly Detection Artificial Intelligence (AI) algorithms can be employed to detect anomalies in energy consumption and system behavior, indicating potential security breaches or inefficiencies in sustainable operations.

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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. Data scientists play a pivotal role in designing and implementing advanced climate data systems.

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Smart Data Collective

MAY 24, 2019

These apps use sophisticated data technology and machine learning algorithms to get a better pulse on their users. Traditional apps are able to connect with certain devices on the Internet of Things. Machine learning algorithms are used to improve both the performance of apps and the technology that will connect to them.

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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). Data scientists must develop efficient algorithms and data storage solutions to manage and extract meaningful insights from massive datasets.

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Dataconomy

JANUARY 12, 2024

With the advent of 5G and the Internet of Things (IoT) , humanoid robots are becoming more accessible and affordable for consumers. These robots are equipped with advanced AI and machine learning algorithms that enable them to learn and adapt to their environment, perform various tasks, and even recognize and respond to emotions.

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Smart Data Collective

NOVEMBER 20, 2022

The website used state parameters to continuously readjust algorithms and suggest vaccine availability to only those who met their state’s requirements. Improving Patient Care with the Internet of Things. Healthcare providers are already using the Internet of Things (IoT).

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Dataconomy

APRIL 10, 2023

This is the world of the Industrial Internet of Things (IIoT). IoT, or the Internet of Things, refers to a network of physical objects, devices, vehicles, buildings, and other items that are embedded with sensors, software, and connectivity, enabling them to collect and exchange data with other devices and systems over the internet.

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Smart Data Collective

JANUARY 27, 2022

recognize objects; give meaningful answers to questions; reach decisions that traditional computer algorithms cannot make. Internet-of-Things Development Engineer. The Internet of Things enters all sizes, even such unexpected ones as street lighting control systems. With their help, AI learns to.

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Smart Data Collective

MARCH 23, 2022

Here’s how AI can help prevent digital forgery: Training Neural Networks: A series of algorithms that mimic human intelligence to detect underlying data relationships or neural networks can undergo training to recognize forgery in digital transactions and file systems.

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Dataconomy

FEBRUARY 21, 2024

Discover how to build personalised, responsive, and customizable living spaces using AI algorithms that adapt and learn to your preferences. In order to anticipate human behaviour, artificial intelligence (AI) combines enhanced processing and learning capabilities with the capacity to link numerous Internet of Things devices.

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Smart Data Collective

AUGUST 26, 2021

Simply put, it involves a diverse array of tech innovations, from artificial intelligence and machine learning to the internet of things (IoT) and wireless communication networks. Instead, it uses AI-powered algorithms to process weather data and generates real-time weather forecasts. Real-Time Weather Insights.

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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. Coding, algorithms, statistics, and big data technologies are especially crucial for AI engineers. Choosing to work as a professional AI engineer can be a lucrative career option.

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Dataconomy

AUGUST 1, 2023

In industries like finance, healthcare, and logistics, AI-driven algorithms optimize operations, enhance decision-making, and improve efficiency. Designers, artists, and content creators can harness generative algorithms to produce unique and inspiring works.

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Chatbots Life

APRIL 1, 2024

Photo by Emiliano Vittoriosi on Unsplash As the world embraces rapid technological advancements, Artificial Intelligence (AI) emerges as a forefront investment opportunity, alongside innovations like the Internet of Things (IoT), Cloud Computing, Security, and Blockchain.

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Smart Data Collective

NOVEMBER 12, 2021

IOT (Internet of Things)- For those of you that already have their heads wrapped around technology, and the lingo that goes along with it, you already know what IOT means. In simple words it is the internet as we know it today. The more tech that you have for your business, the more capital that you have in the eyes of a lender.

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ODSC - Open Data Science

MAY 31, 2023

From there, a machine learning framework like TensorFlow, H2O, or Spark MLlib uses the historical data to train analytic models with algorithms like decision trees, clustering, or neural networks. Kai’s main area of expertise lies within the fields of Data Streaming, Analytics, Hybrid Cloud Architectures, and the Internet of Things.

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Dataconomy

SEPTEMBER 4, 2023

Predictive analytics: Predictive analytics leverages historical data and statistical algorithms to make predictions about future events or trends. Machine learning and AI analytics: Machine learning and AI analytics leverage advanced algorithms to automate the analysis of data, discover hidden patterns, and make predictions.

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Data Science Dojo

JULY 24, 2023

Different algorithms and techniques are employed to achieve eventual consistency. Internet of Things (IoT) Data Processing: Stream processing is vital for handling continuous data streams from IoT devices, enabling real-time monitoring and control. They use redundancy and replication to ensure data availability.

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Dataconomy

MARCH 3, 2025

They must grasp how decentralized applications integrate into this ecosystem while ensuring they craft algorithms that prioritize security and efficacy alongside maintaining node operationsall tailored towards accommodating specific scale parameters and performance goals within a given systems architecture.

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