Smart Data Collective

NOVEMBER 25, 2019

New Avenues of Data Discovery. New data-collection technologies , like internet of things (IoT) devices, are providing businesses with vast banks of minute-to-minute data unlike anything collected before. AI-Powered Big Data Technology. Predictive Business Analytics. General-Audience AI Tools.

Business Intelligence 102

Business Intelligence Business Intelligence Natural Language Processing Predictive Analytics 102

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

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

Smart Data Collective

APRIL 24, 2019

Broadly speaking, big data analytics is your company’s ticket to efficiency and productivity improvements. In recent research, 67 percent of executives from various manufacturing companies indicated that they had plans to invest in big data. Who’s Using Analytics in Manufacturing?

Analytics 100

Analytics Analytics Big Data Analytics Big Data Analytics 100

Smart Data Collective

JANUARY 11, 2021

We have talked about a number of changes that big data has created for the manufacturing sector. 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. How much is the manufacturing industry using cloud-technology?

Cloud Computing 100

Cloud Computing Internet of Things Big Data Big Data 100

The MLOps Blog

FEBRUARY 5, 2023

We will also get familiar with tools that can help record this data and further analyse it. In the later part of this article, we will discuss its importance and how we can use machine learning for streaming data analysis with the help of a hands-on example. What is streaming data?

Machine Learning 72

Machine Learning Machine Learning Data Pipeline Apache Kafka 72

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 lake vs data warehouse: Which is right for me?

Data Lakes 221

Data Lakes Data Warehouse Hadoop Machine Learning 221

Dataconomy

NOVEMBER 21, 2023

As Roosh Ventures notes, the data streaming market is rapidly evolving today. Big Data, the Internet of Things , and AI generate continuous streams of data but companies currently lack the infrastructure development experience to leverage this effectively.

Internet of Things 103

Internet of Things Big Data Big Data Data Analysis 103

IBM Journey to AI blog

JUNE 14, 2023

An innovative application of the Industrial Internet of Things (IIoT), SM systems rely on the use of high-tech sensors to collect vital performance and health data from an organization’s critical assets. Ensure that sensitive data remains within their own network, improving security and compliance.

Internet of Things 77

Internet of Things Cloud Computing Predictive Analytics Analytics 77

Dataconomy

FEBRUARY 24, 2023

It could be anything from customer service to data analysis. Collect data: Gather the necessary data that will be used to train the AI system. This data should be relevant, accurate, and comprehensive. Big data and artificial intelligence : The current digital environment and Industry 4.0

Artificial Intelligence 91

Artificial Intelligence Artificial Intelligence AI AI 91

Pickl AI

JULY 23, 2023

While unstructured data may seem chaotic, advancements in artificial intelligence and machine learning enable us to extract valuable insights from this data type. Big Data Big data refers to vast volumes of information that exceed the processing capabilities of traditional databases.

Analytics 52

Analytics Analytics Predictive Analytics Data Analysis 52

Pickl AI

NOVEMBER 15, 2023

Data scientists can explore, experiment, and derive valuable insights without the constraints of a predefined structure. This capability empowers organizations to uncover hidden patterns, trends, and correlations in their data, leading to more informed decision-making. Data Types: IoT sensor data (temperature, pressure, etc.)

Data Lakes 52

Data Lakes Data Warehouse Database ETL 52

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

ODSC - Open Data Science

JULY 19, 2023

Model Development (Inner Loop): The inner loop element consists of your iterative data science workflow. A typical workflow is illustrated here from data ingestion, EDA (Exploratory Data Analysis), experimentation, model development and evaluation, to the registration of a candidate model for production.

Machine Learning 52

Machine Learning Machine Learning Azure ML 52