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 139

Big Data Big Data Natural Language Processing Artificial Intelligence 139

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

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

Smart Data Collective

AUGUST 14, 2019

By definition, big data in health IT applies to electronic datasets so vast and complex that they are nearly impossible to capture, manage, and process with common data management methods or traditional software/hardware. Big data analytics: solutions to the industry challenges. Big data storage.

Big Data Analytics 78

Big Data Analytics Big Data Analytics Big Data Big Data 78

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 132

Analytics Analytics Big Data Big Data 132

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

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 222

Data Lakes Data Warehouse Hadoop Machine Learning 222

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

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

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

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

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 106

Cloud Computing Big Data Big Data AWS 106

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 57

Internet of Things Artificial Intelligence Artificial Intelligence Big Data Analytics 57

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 96

Cloud Computing Internet of Things Big Data Big Data 96