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Internet of Things

Use of AI and Big Data Analytics to Manage Pandemics

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.

Big Data Analytics

Big Data Analytics Big Data Analytics Big Data Big Data

Is Data Analytics Ushering in the Modern Age of Weather Forecasting?

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. But if there’s one technology that has revolutionized weather forecasting, it has to be data analytics.

Analytics

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Differentiating Between Data Lakes and Data Warehouses

Smart Data Collective

SEPTEMBER 23, 2020

However, a data lake functions for one specific company, the data warehouse, on the other hand, is fitted for another. This blog will reveal or show the difference between the data warehouse and the data lake. Data warehouses contain historical information that has been cleared to suit a relational plan.

Data Lakes

Data Lakes Data Warehouse Big Data Big Data

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Maximizing Profit and Productivity: The New Era of AI-Powered Accounting

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How Big Data Technology Helped Fight The Pandemic

Smart Data Collective

NOVEMBER 20, 2022

In addition, contact tracing in certain offerings could combat the coronavirus outbreak via mobile technologies such as GPS, cellphone masts, and AI-powered big data analytics to assist the government in understanding and managing the spread of COVID-19 within their communities.

Big Data

Big Data Big Data Internet of Things Artificial Intelligence

Data lakes vs. data warehouses: Decoding the data storage debate

Data Science Dojo

JANUARY 12, 2023

By using this method, you may speed up the process of defining data structures, schema, and transformations while scaling to any size of data. Through data crawling, cataloguing, and indexing, they also enable you to know what data is in the lake.

Data Lakes

Data Lakes Data Warehouse Hadoop Machine Learning

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AWS Machine Learning Blog

JANUARY 30, 2025

Ben West is a hands-on builder with experience in machine learning, big data analytics, and full-stack software development. In her free time, Lauren enjoys reading an playing the piano and cello.

AWS

AWS Database AI AI

10 manufacturing trends that are changing the industry

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

Internet of Things

Internet of Things Artificial Intelligence Artificial Intelligence Big Data Analytics

Public cloud vs. private cloud vs. hybrid cloud: What’s the difference?

IBM Journey to AI blog

FEBRUARY 6, 2024

Cloud-based applications and services Cloud-based applications and services support myriad business use cases—from backup and disaster recovery to big data analytics to software development. appeared first on IBM Blog.

Cloud Computing

Cloud Computing Big Data Big Data Internet of Things

Apache Kafka use cases: Driving innovation across diverse industries

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.

Apache Kafka

Apache Kafka Internet of Things Data Pipeline Clustering

The Age of Health Informatics: Part 1

Heartbeat

OCTOBER 23, 2023

Image from "Big Data Analytics Methods" by Peter Ghavami Here are some critical contributions of data scientists and machine learning engineers in health informatics: Data Analysis and Visualization: Data scientists and machine learning engineers are skilled in analyzing large, complex healthcare datasets.

Machine Learning

Machine Learning Machine Learning Data Scientist Big Data Analytics

Serverless use cases: How enterprises are using the technology to let developers innovate

IBM Journey to AI blog

AUGUST 6, 2024

Big data analytics Serverless dramatically reduces the cost and complexity of writing and deploying code for big data applications. Today, serverless helps developers build scalable big data pipelines without having to manage the underlying infrastructure.

Cloud Computing

Cloud Computing Internet of Things Big Data Big Data

Edge Computing vs. Cloud Computing: Pros, Cons, and Future Trends

Pickl AI

AUGUST 24, 2023

These innovative approaches have revolutionised the process we manage data. This blog highlights a comparative analysis of Edge Computing vs. Cloud Computing. This minimizes the risk of data loss and downtime. Support for IoT Growth: As the Internet of Things (IoT) continues to expand, Edge Computing is a natural fit.

Cloud Computing

Cloud Computing Big Data Analytics Big Data Analytics Machine Learning

Navigating the 2024 Data Analyst career growth landscape

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. Value in 2022 – $271.83

Data Analyst

Data Analyst Data Analysis Data Analysis Analytics

Where AI is headed in the next 5 years?

Pickl AI

JULY 14, 2023

The following blog will emphasise on what the future of AI looks like in the next 5 years. Big Data and Deep Learning (2010s-2020s): The availability of massive amounts of data and increased computational power led to the rise of Big Data analytics.

Artificial Intelligence

Artificial Intelligence Artificial Intelligence AI AI

Public cloud use cases: 10 ways organizations are leveraging public cloud

IBM Journey to AI blog

MARCH 20, 2024

artificial intelligence (AI) , edge computing, the Internet of Things (IoT) ). Analytics With the rise of data collected from mobile phones, the Internet of Things (IoT), and other smart devices, companies need to analyze data more quickly than ever before.

Cloud Computing

Cloud Computing Internet of Things Big Data Big Data

Generative AI for agriculture: How Agmatix is improving agriculture with Amazon Bedrock

AWS Machine Learning Blog

NOVEMBER 12, 2024

Discoveries and improvements across seed genetics, site-specific fertilizers, and molecule development for crop protection products have coincided with innovations in generative AI , Internet of Things (IoT) and integrated research and development trial data, and high-performance computing analytical services.

AWS

AWS AI AI Data Lakes

Data Science Current

Use of AI and Big Data Analytics to Manage Pandemics

Is Data Analytics Ushering in the Modern Age of Weather Forecasting?

Webinars

Trending Sources

Differentiating Between Data Lakes and Data Warehouses

Webinars

How Big Data Technology Helped Fight The Pandemic

Data lakes vs. data warehouses: Decoding the data storage debate

Streamline grant proposal reviews using Amazon Bedrock

10 manufacturing trends that are changing the industry

Public cloud vs. private cloud vs. hybrid cloud: What’s the difference?

Apache Kafka use cases: Driving innovation across diverse industries

The Age of Health Informatics: Part 1

Serverless use cases: How enterprises are using the technology to let developers innovate

Edge Computing vs. Cloud Computing: Pros, Cons, and Future Trends

Navigating the 2024 Data Analyst career growth landscape

Where AI is headed in the next 5 years?

Public cloud use cases: 10 ways organizations are leveraging public cloud

Generative AI for agriculture: How Agmatix is improving agriculture with Amazon Bedrock

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