Smart Data Collective

DECEMBER 1, 2022

As we look ahead to 2022, there are four key trends that organizations should be aware of when it comes to big data: cloud computing, artificial intelligence, automated streaming analytics, and edge computing. The Emergence of AI-Driven Big Data. AI-driven data is the next generation of big data.

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Towards AI

MARCH 21, 2023

Last Updated on March 21, 2023 by Editorial Team Author(s): Deepankar Varma Originally published on Towards AI. The Impact of 5G Technology on IoT & Smart Cities The Internet of Things (IoT) and smart cities are projected to be significantly impacted by the advent of 5G technology, which is poised to change the world of technology.

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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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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. Reference: 1.

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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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AWS Machine Learning Blog

JANUARY 30, 2025

The AWS Social Responsibility & Impact (SRI) team recognized an opportunity to augment this function using generative AI. By thoughtfully designing prompts, practitioners can unlock the full potential of generative AI systems and apply them to a wide range of real-world scenarios.

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IBM Journey to AI blog

DECEMBER 18, 2023

Integrating GIS, artificial intelligence (AI) , the Internet of Things (IoT) , cloud and mobile technologies into field service management (FSM) makes the most current information available to field service technicians. ” can be answered by geospatial data and GIS.

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Dataconomy

OCTOBER 23, 2024

Artificial intelligence (AI) and machine learning (ML) are arguably the frontiers of modern technology. AI and ML can streamline various business processes and help maximize your returns margins. Generative AI, a facet of artificial intelligence, has conspicuously emerged as a significant force as far as process automation goes.

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Dataversity

DECEMBER 7, 2020

Artificial intelligence (AI), machine learning, and the Internet of Things (IoT) aren’t new – they’ve been impacting and shaping enterprise strategy for years. Click to learn more about author Jay Owen. Without doing […].

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Smart Data Collective

OCTOBER 26, 2023

AI poses a number of benefits and risks for modern businesses. One poll found that 56% of companies use AI to enhance their cybersecurity strategies. A number of hackers are using AI to exploit their targets more easily. On the other hand, many cybersecurity professionals are also using AI to safeguard their digital assets.

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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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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. et all (2020).

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IBM Journey to AI blog

JANUARY 15, 2024

Digital transformation trends that drive a competitive advantage Trend: Artificial intelligence and machine learning We’re entering year two of widespread adoption of generative AI tools. Trend: Automation Like AI and ML, automation will be a huge driver of human productivity.

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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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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. with an asset lifecycle management cloud 2. Industry 4.0

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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

FEBRUARY 7, 2024

Sustainable technology: New ways to do more With a boom in artificial intelligence (AI) , machine learning (ML) and a host of other advanced technologies, 2024 is poised to the be the year for tech-driven sustainability.

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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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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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IBM Journey to AI blog

JANUARY 29, 2024

By using AI, automation, and hybrid cloud, among others, organizations can drive intelligent workflows, streamline supply chain management, and speed up decision-making. Artificial intelligence – Artificial intelligence , or AI, is a digital technology that uses computers and machines to mimic the human mind’s capabilities.

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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.

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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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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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Pickl AI

FEBRUARY 19, 2025

Introduction The Internet of Things (IoT) connects billions of devices, generating massive real-time data streams. IoT data visualization converts raw data generated by Internet of Things (IoT) devices into visual formats such as charts, graphs, maps, and dashboards. What is IoT Visualization?

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ODSC - Open Data Science

JULY 11, 2023

Its first application was developed at the Massachusetts Institute of Technology in 1966, well before the dawn of personal computers. [1] 1] The typical application familiar to readers is much more recent, when AI operates as chatbots, enhancing or at least facilitating the user experience on many websites.

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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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IBM Journey to AI blog

MARCH 27, 2024

Still others are wowed by the promise of artificial intelligence (AI) and automation that hyperscale data centers offer. Both are based on complicated digital infrastructures and depend on virtualization , the underlying concept of cloud computing. Both options deliver complex Software-as-a-Service (SaaS) solutions.

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Pickl AI

DECEMBER 6, 2024

From generative AI and quantum computing to sustainable technology and human-machine collaboration, these innovations promise to enhance efficiency, drive economic growth, and improve quality of life across various sectors. Summary: As we approach 2025, numerous technology trends are set to reshape industries and everyday experiences.

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ODSC - Open Data Science

JULY 25, 2023

What Can AI Teach Us About Data Centers? Increased Automation and Artificial Intelligence (AI): Automation and AI will be increasingly used to optimize data center operations, such as monitoring and management of the infrastructure, power, and cooling. What would make having a data center obsolete?

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IBM Journey to AI blog

MARCH 14, 2024

The number of networks also continues to grow, with many popular Internet Service Providers (ISPs) like Verizon, Google and AT&T, offering 5G connectivity in both homes and businesses. AI and ML) require too much data to run at speeds offered by previous generations of wireless networks. But what does the future hold in store?

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Dataconomy

AUGUST 6, 2023

Evolution of the tech world Parallel processing’s influence extends beyond individual devices; it shapes the architecture of data centers and cloud computing infrastructure. As businesses increasingly rely on cloud services, parallel processing becomes integral to delivering scalable and responsive services.

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Pickl AI

AUGUST 1, 2024

Understanding this role is crucial for anyone interested in pursuing a career in AI and Machine Learning. MXNet: An efficient and flexible Deep Learning framework that supports multiple programming languages and is particularly well-suited for cloud computing.

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Pickl AI

SEPTEMBER 3, 2024

Explainable AI As ANNs are increasingly used in critical applications, such as healthcare and finance, the need for transparency and interpretability has become paramount. Explainable AI (XAI) aims to provide insights into how neural networks make decisions, helping stakeholders understand the reasoning behind predictions and classifications.

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Pickl AI

JULY 8, 2024

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. These solutions offer scalability, elasticity, and ease of deployment within cloud environments.

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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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