Heartbeat

MAY 23, 2023

However, complicated deep learning algorithms can strain conventional cloud computing infrastructures, resulting in poorer processing rates, significant security risks, and expensive bandwidth costs. Edge computing may change how we think about deep learning. But edge computing isn’t just about convenience.

Deep Learning 52

Deep Learning Deep Learning Cloud Computing Internet of Things 52

Data Science Connect

JULY 26, 2023

The Emergence of Edge Computing: A Game-Changer Edge computing has emerged as a game-changing technology, revolutionizing how data is processed and delivered. Unlike traditional cloud computing, where data is sent to centralized data centers, edge computing brings processing closer to the data source.

Data Scientist 100

Data Scientist Internet of Things Cloud Computing Azure 100

IBM Journey to AI blog

JUNE 29, 2023

It integrates advanced technologies—like the Internet of Things (IoT), artificial intelligence (AI) and cloud computing —into an organization’s existing manufacturing processes. Industry 4.0 Companies can also use AI to identify anomalies and equipment defects.

Internet of Things 75

Internet of Things Artificial Intelligence Artificial Intelligence Big Data Analytics 75

Dataconomy

JULY 14, 2023

Machine learning is the science of teaching computers to learn on their own. By feeding computers large amounts of data, machine learning algorithms can learn to identify patterns and make predictions. Cloud computing services can provide scalability, reliability, and security for M2M data.

Cloud Computing 91

Cloud Computing Machine Learning Machine Learning Internet of Things 91

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. An IoT ( Internet of Things ) ecosystem refers to a network of interconnected devices, sensors, and software applications that work together to collect, analyze, and share data.

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. An IoT ( Internet of Things ) ecosystem refers to a network of interconnected devices, sensors, and software applications that work together to collect, analyze, and share data.

Data Science 70

Data Science Internet of Things Machine Learning Machine Learning 70

IBM Journey to AI blog

JULY 18, 2024

Distributed computing even works in the cloud. And while it’s true that distributed cloud computing and cloud computing are essentially the same in theory, in practice, they differ in their global reach, with distributed cloud computing able to extend cloud computing across different geographies.

Cloud Computing 59

Cloud Computing Database Internet of Things ML 59

Pickl AI

AUGUST 1, 2024

Introduction Deep Learning engineers are specialised professionals who design, develop, and implement Deep Learning models and algorithms. Understanding Deep Learning Engineer A Deep Learning engineer is primarily responsible for creating and optimising algorithms that enable machines to learn from data.

Deep Learning 52

Deep Learning Deep Learning Machine Learning Machine Learning 52

Dataconomy

APRIL 20, 2023

They have revolutionized the way we process and store information, and are used in a wide variety of applications, from personal devices like smartphones and laptops to large-scale data centers and cloud computing services.

Artificial Intelligence 154

Artificial Intelligence Artificial Intelligence Cloud Computing Internet of Things 154

Dataconomy

AUGUST 6, 2023

From the orchestration of meteorological forecasts to the intricate simulation of molecular interactions and the rapid training of artificial intelligence algorithms, parallel processing has propelled us into a realm of heightened efficiency and expedited insights.

Artificial Intelligence 91

Artificial Intelligence Artificial Intelligence Algorithm Internet of Things 91

IBM Journey to AI blog

JULY 26, 2023

Digital twin technology, an advancement stemming from the Industrial Internet of Things (IIoT), is reshaping the oil and gas landscape by helping providers streamline asset management, optimize performance and reduce operating costs and unplanned downtime.

Internet of Things 75

Internet of Things Machine Learning Machine Learning Cloud Computing 75

Pickl AI

SEPTEMBER 3, 2024

Edge Computing With the rise of the Internet of Things (IoT), edge computing is becoming more prevalent. Professionals should stay informed about emerging trends, new algorithms, and best practices through online courses, workshops, and industry conferences.

Natural Language Processing 52

Natural Language Processing Machine Learning Machine Learning Deep Learning 52

Dataconomy

APRIL 20, 2023

They have revolutionized the way we process and store information, and are used in a wide variety of applications, from personal devices like smartphones and laptops to large-scale data centers and cloud computing services.

Artificial Intelligence 103

Artificial Intelligence Artificial Intelligence Cloud Computing Internet of Things 103

IBM Journey to AI blog

JANUARY 29, 2024

An example is machine learning, which enables a computer or machine to mimic the human mind. Another is augmented reality technology that uses algorithms to mimic digital information and understand a physical environment. The AI technology drives innovation to smart products and a more pointed focus on customer and user experience.

Artificial Intelligence 91

Artificial Intelligence Artificial Intelligence Internet of Things AWS 91

Smart Data Collective

MAY 7, 2023

New digital technologies such as artificial intelligence, data analytics, machine learning automation, and the Internet of Things (IoT) may seem like a breakthrough for decision-making, but they are not bulletproof. It uses algorithms to scramble data, making it unreadable to anyone without access to the decryption key.

Internet of Things 109

Internet of Things Cloud Computing Artificial Intelligence Artificial Intelligence 109

Smart Data Collective

OCTOBER 26, 2023

Machine learning algorithms can adapt and improve over time, enabling them to recognize new, previously unseen attack patterns. Rapid growth in the use of recently developed technologies such as the Internet of Things (IoT), artificial intelligence (AI), and cloud computing has introduced new security threats and vulnerabilities.

AI 97

AI AI Artificial Intelligence Artificial Intelligence 97

IBM Journey to AI blog

MARCH 20, 2024

Most of us take for granted the countless ways public cloud-related services—social media sites (Instagram), video streaming services (Netflix), web-based email applications (Gmail), and more—permeate our lives. What is a public cloud? A public cloud is a type of cloud computing in which a third-party service provider (e.g.,

Cloud Computing 119

Cloud Computing Internet of Things Big Data Big Data 119

Dataconomy

APRIL 4, 2023

Anything as a Service is a cloud computing model that refers to the delivery of various services, applications, and resources over the internet. XaaS enables businesses to access a wide range of services and solutions by providing a flexible, cost-effective, and scalable model for cloud computing.

Cloud Computing 79

Cloud Computing Internet of Things Azure Artificial Intelligence 79

Dataconomy

APRIL 4, 2023

Anything as a Service is a cloud computing model that refers to the delivery of various services, applications, and resources over the internet. XaaS enables businesses to access a wide range of services and solutions by providing a flexible, cost-effective, and scalable model for cloud computing.

Cloud Computing 70

Cloud Computing Internet of Things Azure Artificial Intelligence 70

IBM Journey to AI blog

FEBRUARY 9, 2024

They can be run locally on smaller devices: this allows more sophisticated AI in scenarios like edge computing and the internet of things (IoT). Explainable AI is essential to understanding, improving and trusting the output of AI systems.

AI 126

AI AI Artificial Intelligence Artificial Intelligence 126