Dlabs.ai

AUGUST 31, 2021

AI & Big Data Expo Global Date: September 6-7th Place: London (virtual show runs 13th-15th Sept) Ticket: Free to 999 GBP The AI & Big Data Expo Global gives attendees a space to explore and discover new ways to implement AI and big data. Let’s go!

Computer Vision 52

Computer Vision Big Data Data Science Deep Learning 52

ODSC - Open Data Science

NOVEMBER 19, 2024

Dimensional Data Modeling in the Modern Era by Dustin Dorsey Slides Dustin Dorsey’s AI slides explored the evolution of dimensional data modeling, a staple in data warehousing and business intelligence.

Deep Learning 52

Deep Learning Data Science Neural Network BERT 52

Viso.ai

NOVEMBER 19, 2023

It is useful for various tasks related to machine learning, deep learning, data management, Natural Language Processing (NLP) , etc. Infosys Nia provides companies with the opportunity to leverage AI on existing big data, by automating repetitive tasks and scheduled responsibilities.

Computer Vision 97

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Marktechpost

JULY 23, 2023

A data warehouse is a data management system for data reporting, analysis, and storage. It is an enterprise data warehouse and is part of business intelligence. Data from one or more diverse sources is stored in data warehouses, which are central repositories.

Machine Learning 52

Machine Learning Big Data ETL Data Integration 52

Pickl AI

JUNE 6, 2024

Here’s a glimpse into how scrubbing shines in different fields: Business Intelligence (BI) Imagine making crucial business decisions based on inaccurate reports. Data scrubbing is the knight in shining armour for BI. The Scope of Data Scrubbing: A Continuously Evolving Landscape Data scrubbing is not a one-time fix.

Machine Learning 40

Machine Learning Algorithm Business Intelligence Data Quality 40

Pickl AI

FEBRUARY 19, 2025

Artificial Intelligence (AI): Enables machines to perform tasks that require human intelligence, such as recognising speech, translating languages, or driving autonomous cars. Big Data: Refers to vast sets of data that traditional tools cannot process; commonly used in industries like social media, e-commerce, and healthcare.

Data Science 52

Data Science Machine Learning Data Scientist Algorithm 52

Pickl AI

SEPTEMBER 23, 2024

The interdependence is evident: Data Science provides the data and analytical methods, while AI uses these insights to create smarter algorithms. This cycle improves accuracy and efficiency in Data Analysis, leading to more reliable predictions and solutions. Data Science Job Guarantee Course by Pickl.AI

Data Science 52

Data Science Artificial Intelligence Artificial Intelligence Machine Learning 52

AWS Machine Learning Blog

FEBRUARY 10, 2025

To solve this challenge, RDC used generative AI , enabling teams to use its solution more effectively: Data science assistant Designed for data science teams, this agent assists teams in developing, building, and deploying AI models within a regulated environment.

Generative AI 89

Generative AI Data Science Data Scientist AI 89

AWS Machine Learning Blog

AUGUST 12, 2024

AWS data engineering pipeline The adaptable approach detailed in this post starts with an automated data engineering pipeline to make data stored in Splunk available to a wide range of personas, including business intelligence (BI) analysts, data scientists, and ML practitioners, through a SQL interface.

ML 110

ML Data Quality AI AI 110

Pickl AI

APRIL 2, 2024

The Three Types of Data Science Data science isn’t a one-size-fits-all solution. There are three main types, each serving a distinct purpose: Descriptive Analytics (Business Intelligence): This focuses on understanding what happened. Hadoop/Spark: Frameworks for distributed storage and processing of big data.

Data Science 52

Data Science Data Scientist Machine Learning Big Data 52