Analytics Vidhya

DECEMBER 20, 2022

This article was published as a part of the Data Science Blogathon. Introduction Software Products can be very complex to manage and, at the same time, must be relevant to the customers. An essential part of that process is understanding how the customers use the product. People who create products care about more than just […].

Data Science 244

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ODSC - Open Data Science

FEBRUARY 12, 2024

Ensuring model explainability, protecting training data sets from data poisoning attacks, and regularly reviewing these technologies are similarly important. Augmented Analytics Takes Your BI Further Business intelligence alone isn’t enough to remain competitive in today’s accelerated, tech-centric environment.

Automation 98

Automation Data Science Explainability Data Scientist 98

ODSC - Open Data Science

JUNE 12, 2023

The Datamarts capability opens endless possibilities for organizations to achieve their data analytics goals on the Power BI platform. This article is an excerpt from the book Expert Data Modeling with Power BI, Third Edition by Soheil Bakhshi, a completely updated and revised edition of the bestselling guide to Power BI and data modeling.

ETL 52

ETL Business Intelligence Data Science Data Analysis 52

Marktechpost

JULY 3, 2023

Artificial Intelligence (AI) and Predictive Analytics are reshaping the way all businesses operate. In this article, we will key in on engineering applications of AI and Predictive Analytics. We will start with the general concept of Artificial Intelligence (AI). Key differences will be highlighted.

Deep Learning 118

Deep Learning Machine Learning Artificial Intelligence Artificial Intelligence 118

Mlearning.ai

AUGUST 10, 2023

The project I did to land my business intelligence internship — CAR BRAND SEARCH ETL PROCESS WITH PYTHON, POSTGRESQL & POWER BI 1. The article will be presented in 5 sections, which will be described as follows: Section 1: Brief description that acts as the motivating foundation of this research.

Business Intelligence 52

Business Intelligence ETL Data Analysis Python 52

Pickl AI

JULY 18, 2023

Programming for Data Science enables Data Scientists to analyze vast amounts of data and extract meaningful information. There are different programming languages and in this article, we will explore 8 programming languages that play a crucial role in the realm of Data Science. Wrapping it up !!!

Data Science 52

Data Science Data Scientist Python Business Intelligence 52

ODSC - Open Data Science

FEBRUARY 19, 2024

Microsoft Power BI Microsoft Power BI is almost synonymous with comprehensive business intelligence capabilities. Like our other platform, it allows users to connect to hundreds of data sources, simplify data prep, and drive ad hoc analysis.

Data Science 52

Data Science Machine Learning Data Scientist Business Intelligence 52

ODSC - Open Data Science

JANUARY 18, 2024

Like with any professional shift, it’s always good practice to take inventory of your existing data science strengths. Data scientists typically have strong skills in areas such as Python, R, statistics, machine learning, and data analysis. First, articles. Just keep an eye on them to keep track of what’s going on.

Data Science 52

Data Science ETL Data Scientist Software Engineer 52

Pickl AI

AUGUST 16, 2023

In the world of Machine Learning and Data Analysis , decision trees have emerged as powerful tools for making complex decisions and predictions. These tree-like structures break down a problem into smaller, manageable parts, enabling us to make informed choices based on data. What is a Decision Tree?

Algorithm 52

Algorithm Machine Learning Python Business Intelligence 52

ODSC - Open Data Science

JULY 21, 2023

Everything from automation, data analysis/forecasting, resource management, and more can benefit from a bit of AI. Data Analysis & Forecasting Believe it or not, as a project manager, you’re being bombarded with a constantly growing stream of data. So what are you waiting for? Join us at the ODSC West AI Expo!

Automation 52

Automation AI AI AI Tools 52

ODSC - Open Data Science

FEBRUARY 24, 2023

There are many well-known libraries and platforms for data analysis such as Pandas and Tableau, in addition to analytical databases like ClickHouse, MariaDB, Apache Druid, Apache Pinot, Google BigQuery, Amazon RedShift, etc. These tools will help make your initial data exploration process easy.

Data Analysis 126

Data Analysis Business Intelligence Data Science Python 126

Viso.ai

NOVEMBER 19, 2023

This article provides an overview of AI software products worth checking out in 2024. Hence, the list includes AI software for innovation teams and the best AI platforms for developers and data scientists looking to adopt new, emerging technology for innovation projects. You can schedule a demo with an Observe.AI

Computer Vision 97

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Bugra Akyildiz

MAY 25, 2024

Articles OpenAI has announced GPT-4o , their new flagship AI model that can reason across audio, vision, and text in real-time. OpenAI has wrote another blog post around data analysis capabilities of the ChatGPT. Structured format to track data coming in and out of DB. Datalog queries can be run against it too.

ChatGPT 59

ChatGPT Machine Learning OpenAI Data Analysis 59

Unite.AI

DECEMBER 5, 2023

This is also evident in the global data warehousing market growth, which is expected to reach $51.18 This article will explore data warehousing, its architecture types, key components, benefits, and challenges. What is Data Warehousing? billion by 2028 , compared to $21.18 billion in 2019.

Metadata 162

Metadata Big Data ETL Data Ingestion 162

Pickl AI

JULY 12, 2023

We are living in a world where data drives decisions. Also, it is making transformative changes across the business nations. Data manipulation in Data Science is the fundamental process in data analysis. Does not alter the original data; instead, it creates new representations or summaries of the data.

Data Analysis 52

Data Analysis Data Science Data Quality Python 52

ODSC - Open Data Science

JUNE 2, 2023

Augmented Analytics — Where Do You Fit in at the Intersection of Analytics and Business Intelligence? Data visualization is a critical way for anyone to turn endless rows of data into easy-to-understand results through dynamic and understandable visuals.

Business Intelligence 52

Business Intelligence Composite AI Automation Data Science 52

Marktechpost

JULY 17, 2023

Algorithms and models Predictive analytics uses several methods from fields like machine learning, data mining, statistics, analysis, and modeling. In this article, some of them are described. government launched the first version of the company’s tools to better data analysis for healthcare in 1966.

Machine Learning 92

Machine Learning Data Mining Data Scientist Artificial Intelligence 92

Heartbeat

DECEMBER 5, 2023

Data analysis: A100 GPUs can accelerate data processing and analysis in scenarios where large data sets need to be processed quickly, such as data analytics and business intelligence. High memory bandwidth and computing power are beneficial for such applications.

Natural Language Processing 52

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Artificial Corner

JUNE 6, 2023

This period also saw the development of the first data warehouses, large storage repositories that held data from different sources in a consistent format. The concept of data warehousing was introduced by Bill Inmon, often referred to as the “father of data warehousing.”

Data Mining 52

Data Mining Big Data ETL Machine Learning 52

Mlearning.ai

MAY 23, 2023

To land a coveted data science role, you must excel in the interview process, which often includes a series of challenging questions to assess your technical skills, problem-solving abilities, and domain knowledge. Read the full blog here —  [link] Data Science Interview Questions for Freshers 1.

Data Science 52

Data Science Neural Network Deep Learning Machine Learning 52

Artificial Corner

JUNE 29, 2023

With the exponential growth of business data, the ability to analyze and interpret this information has become crucial for staying ahead of the competition. However, many (if not most) business users overlook the potential of data analytics and fail to recognize its immense value. Other Articles You Might Enjoy 1.

Data Quality 52

Data Quality Data Analysis Data Scientist ChatGPT 52

IBM Journey to AI blog

AUGUST 4, 2023

When workers get their hands on the right data, it not only gives them what they need to solve problems, but also prompts them to ask, “What else can I do with data?” ” through a truly data literate organization. What is data democratization?

Machine Learning 149

Machine Learning AI AI Automation 149