Pickl AI

AUGUST 24, 2023

The eminent name that most of the tech geeks often discuss is Cloud Computing. However, here we also need to mention Edge Computing. This blog highlights a comparative analysis of Edge Computing vs. Cloud Computing. It is the practice of storing and accessing data and applications over the internet.

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Smart Data Collective

JULY 2, 2019

Other researchers around the world are also talking about the role of data analytics in this dynamic, growing field. One expert from Spain that is working on new data analytics solutions for renewable energy is named Aristotle. But how can the “Internet of Things” contribute to energy efficiency?

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Smart Data Collective

MARCH 28, 2021

Utilizing cloud services is no longer an option for businesses— it is a necessity. In 2021, cloud computing infrastructure will dominate the IT space and take over business cloud services. However, it is important to understand the right cloud computing practices to follow.

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IBM Journey to AI blog

FEBRUARY 6, 2024

It’s hard to imagine a business world without cloud computing. There would be no e-commerce, remote work capabilities or the IT infrastructure framework needed to support emerging technologies like generative AI and quantum computing. What is cloud computing?

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Dataconomy

APRIL 26, 2023

With the rise of edge computing companies, businesses are increasingly turning to innovative partners to help them stay ahead of the curve. Consequently, edge computing has been deployed extensively across a range of verticals and for a variety of use cases.

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Smart Data Collective

JANUARY 11, 2021

A number of manufacturers are relying more on analytics technology to streamline their operations. Cloud computing involves using a network of remote internet servers to store, manage, and process data, instead of using a local server on a personal computer. Supports Manufacturing Supply Chain Integration.

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Dataconomy

OCTOBER 23, 2024

Other key technologies that have recently opened doors to unprecedented growth opportunities in the corporate world include Big Data , the Internet of Things (IoT), cloud computing, and blockchain. Predictive analytics is one of the most reliable data analytics tools for forecasting future trends.

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IBM Journey to AI blog

DECEMBER 18, 2023

Software solutions that combine geospatial data, GIS mapping and advanced environmental analytics enable organizations to make different types of weather-related data actionable. More accurate forecasts use real-time data and digital maps to help companies better predict and respond to weather events, reducing impacts to operations.

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Dataconomy

MAY 23, 2023

Edge computing has the potential to revolutionize various industries by enabling new use cases and applications that require low-latency data processing, real-time analytics, and localized decision-making. Consequently, network bandwidth is more efficient, leading to enhanced performance.

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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.

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IBM Journey to AI blog

JANUARY 15, 2024

Also, machine learning will be an incredibly powerful tool for data-driven organizations looking to take better advantage of their data analytics practices. Trend: Cloud computing Organizations have spent the past few years migrating to the cloud.

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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.

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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. 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.

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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. 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.

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Smart Data Collective

SEPTEMBER 27, 2022

Mechanical designs are increasingly intricate, software development is ever more powerful, not to mention more and more physical products are being incorporated into the internet of things or contain distinct software. Cloud technology is among the biggest changes.

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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

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Smart Data Collective

DECEMBER 20, 2019

As the Internet of Things (IoT) becomes smarter and more advanced, we’ve started to see its usage grow across various industries. From retail and commerce to manufacturing, the technology continues to do some pretty amazing things in nearly every sector. The civil engineering field is no exception.

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IBM Journey to AI blog

AUGUST 6, 2024

Serverless, or serverless computing, is an approach to software development that empowers developers to build and run application code without having to worry about maintenance tasks like installing software updates, security, monitoring and more. Despite its name, a serverless framework doesn’t mean computing without servers.

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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.

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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. Finally, organizations must ensure all staff members are trained on proper data backup and recovery procedures.

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IBM Journey to AI blog

JANUARY 8, 2024

The rise of advanced digital technologies Technological developments improving organizations include automation , quantum computing and cloud computing , artificial intelligence , machine learning and the Internet of Things (IoT).

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IBM Journey to AI blog

JANUARY 29, 2024

Companies are becoming more reliant on data analytics and automation to enable profitability and customer satisfaction. It takes an organization’s on-premises data into a private cloud infrastructure and then connects it to a public cloud environment, hosted by a public cloud provider.

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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.

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Smart Data Collective

OCTOBER 26, 2023

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. The expansion of the digital economy has spawned a new set of cyber-security concerns.

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ODSC - Open Data Science

JULY 11, 2023

It uses a form of artificial intelligence called Reinforcement Learning from Human Feedback to produce answers based on human-guided computer analytics.2 Not a cloud computer? Photo from unsplash.com Is cloud computing just using someone else’s data center? Its response is below.

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Pickl AI

JULY 8, 2024

Real-time Monitoring and Analytics It enables real-time monitoring of critical infrastructure, industrial processes, and financial markets. Here are some prominent use cases: The Internet of Things (IoT) Sensor data from connected devices, ranging from industrial machinery to wearables, can be stored and analysed in TSDBs.

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Pickl AI

SEPTEMBER 3, 2024

Edge Computing With the rise of the Internet of Things (IoT), edge computing is becoming more prevalent. Computational Resources Training deep neural networks can be computationally intensive and time-consuming, requiring significant hardware resources.

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Pickl AI

AUGUST 1, 2024

MXNet: An efficient and flexible Deep Learning framework that supports multiple programming languages and is particularly well-suited for cloud computing. Integration with Edge Computing The rise of Internet of Things (IoT) devices has created a demand for real-time processing and decision-making at the edge of networks.

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ODSC - Open Data Science

JULY 25, 2023

Greater adoption of the cloud: With the growth in cloud computing, data centers will increasingly be used to support cloud services, and more companies will adopt cloud services and move their data centers to the cloud. Founder & President of Analytics Strategy & Consulting LLC.

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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.

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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.

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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.,

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Dataconomy

AUGUST 31, 2023

Google Cloud Next serves as a testament to Google’s ongoing efforts to maintain its success in the realm of cloud computing. The conference offered attendees keynote addresses delivered by Google Cloud executives, along with a range of breakout sessions, interactive labs, and chances for networking.

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AWS Machine Learning Blog

NOVEMBER 27, 2024

Daniel Sánchez is a senior generative AI strategist based in Mexico City with over 10 years of experience in cloud computing, specializing in machine learning and data analytics. Give this solution a try and let us know your feedback in the comments.

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