Smart Data Collective

SEPTEMBER 23, 2020

Type of Data: structured and unstructured from different sources of data Purpose: Cost-efficient big data storage Users: Engineers and scientists Tasks: storing data as well as big data analytics, such as real-time analytics and deep learning Sizes: Store data which might be utilized.

Data Lakes 110

Data Lakes Data Warehouse Big Data Big Data 110

Smart Data Collective

JUNE 19, 2019

Big data calls for complex processing, handling, and storage system, which may include elements such as human beings, computers, and the internet. While the sophisticated Internet of Things can positively impact your business, it also carries a significant risk of data misuse. Credit Management.

Big Data 74

Big Data Big Data Big Data Analytics Big Data Analytics 74

Smart Data Collective

DECEMBER 1, 2022

Edge computing is processing data at the edge of a network, or on the device itself rather than in a centralized location. The growth in edge computing is mainly due to the increasing popularity of Internet of Things (IoT) devices. Managing all that data from one centralized area is challenging with so many connected devices.

Big Data 144

Big Data Big Data Natural Language Processing Artificial Intelligence 144

Smart Data Collective

NOVEMBER 20, 2022

Amine Belhad and his coauthors addressed some of the issues about big data in manufacturing in their white paper Understanding Big Data Analytics for Manufacturing Processes: Insights from Literature Review and Multiple Case Studies.

Analytics 140

Analytics Analytics Big Data Big Data 140

Dataconomy

AUGUST 9, 2023

This data can then be collected, analyzed, and utilized to gain insights, make informed decisions, and optimize processes. This data includes information about user behavior, preferences, locations, interactions, transactions, and more. IoT and connected devices : The Internet of Things has played a crucial role in datafication.

Artificial Intelligence 172

Artificial Intelligence Artificial Intelligence AI AI 172

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 69

Internet of Things Artificial Intelligence Artificial Intelligence Big Data Analytics 69

Dataconomy

APRIL 20, 2023

Digit-computers are capable of processing and analyzing vast amounts of data quickly and accurately, which has enabled significant advances in fields like artificial intelligence, machine learning, and big data analytics.

Artificial Intelligence 154

Artificial Intelligence Artificial Intelligence Cloud Computing Internet of Things 154

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. Uber, for example, depends on a microservices architecture to build and release its ride-hailing and food-delivery services quickly.

Cloud Computing 119

Cloud Computing Big Data Big Data Internet of Things 119

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 58

Apache Kafka Internet of Things Data Pipeline Clustering 58

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 52

Machine Learning Machine Learning Data Scientist Big Data Analytics 52

Pickl AI

DECEMBER 2, 2024

They can be categorised into several types.These diverse sources contribute to the volume, variety, and velocity of data that organisations must manage. Internet of Things (IoT): Devices such as sensors, smart appliances, and wearables continuously collect and transmit data.

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 52

Pickl AI

NOVEMBER 25, 2024

They can be categorised into several types.These diverse sources contribute to the volume, variety, and velocity of data that organisations must manage. Internet of Things (IoT): Devices such as sensors, smart appliances, and wearables continuously collect and transmit data.

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 52

Dataconomy

APRIL 20, 2023

Digit-computers are capable of processing and analyzing vast amounts of data quickly and accurately, which has enabled significant advances in fields like artificial intelligence, machine learning, and big data analytics.

Artificial Intelligence 103

Artificial Intelligence Artificial Intelligence Cloud Computing Internet of Things 103

Pickl AI

JUNE 29, 2023

Embrace Big Data Analytics With data’s exponential growth, organisations increasingly rely on big data analytics. Splunk’s ability to handle large volumes of data and provide real-time insights positions professionals to excel in the big data analytics field.

Big Data Analytics 52

Big Data Analytics Big Data Analytics Big Data Big Data 52

Pickl AI

JULY 20, 2023

Web and App Analytics Projects: These projects involve analyzing website and app data to understand user behaviour, improve user experience, and optimize conversion rates. Defining clear objectives and selecting appropriate techniques to extract valuable insights from the data is essential.

Analytics 40

Analytics Analytics Big Data Big Data 40

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 45

Cloud Computing Internet of Things Big Data Big Data 45

Pickl AI

AUGUST 24, 2023

This minimizes the risk of data loss and downtime. Innovation: Cloud Computing encourages innovation by providing access to advanced technologies and services, such as artificial intelligence, machine learning, big data analytics, and more.

Cloud Computing 52

Cloud Computing Big Data Analytics Big Data Analytics Machine Learning 52

Pickl AI

JULY 29, 2024

It utilises the Hadoop Distributed File System (HDFS) and MapReduce for efficient data management, enabling organisations to perform big data analytics and gain valuable insights from their data. Frequently Asked Questions What is a Hadoop Cluster?

Hadoop 52

Hadoop Clustering Big Data Big Data 52

Pickl AI

JANUARY 16, 2024

Customer Insights Specialist Deciphering consumer behaviour through data, providing invaluable insights for marketing strategies and product development. IoT Data Analyst Analysing data generated by Internet of Things (IoT) devices, extracting meaningful patterns and trends for improved efficiency and decision-making.

Data Analyst 52

Data Analyst Data Analysis Data Analysis Analytics 52

Pickl AI

JULY 14, 2023

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. Deep Learning, a subfield of ML, gained attention with the development of deep neural networks.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence AI AI 52

Mlearning.ai

AUGUST 18, 2023

As a discipline that includes various technologies and techniques, data science can contribute to the development of new medications, prevention of diseases, diagnostics, and much more. Utilizing Big Data, the Internet of Things, machine learning, artificial intelligence consulting , etc.,

Data Science 52

Data Science Data Scientist Internet of Things Apache Hadoop 52

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 112

Cloud Computing Internet of Things Big Data Big Data 112

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 123

AWS AI AI Data Lakes 123