KDnuggets

AUGUST 15, 2024

The AI and ML complexity results in a growing number and diversity of jobs that require AI & ML expertise. We’ll give you a rundown of these jobs regarding the technical skills they need and the tools they employ.

Machine Learning 141

Machine Learning 141

databricks

AUGUST 15, 2024

An Introduction to Time Series Forecasting with Generative AI Time series forecasting has been a cornerstone of enterprise resource planning for decades. Predictions.

Retail 120

Retail 120

ArcGIS

AUGUST 15, 2024

With the growing popularity of 3D GIS, users are shifting from 2D to 3D. What is the proper method to move pre-existing 2D data onto a 3D scene?

Data 108

Data 108

KDnuggets

AUGUST 15, 2024

The Walrus operator, introduced in Python 3.8, enables assignment within expressions, but requires careful use to maintain readability. And this tutorial will teach you how.

Python 99

Python 99

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Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

Business Intelligence

Cloudera

AUGUST 15, 2024

Data practitioners are consistently asked to deliver more with less, and although most executives recognize the value of innovating with data, the reality is that most data teams spend the majority of their time responding to support tickets for data access, performance and troubleshooting, and other mundane activities. At the heart of this backlog of requests is this: data is hard to work with, and it’s made even harder when users need to work to get or find what they need.

Data Warehouse 73

Data Warehouse Accessible Accessibility Designing 73

Precisely

AUGUST 15, 2024

Key Takeaways Leverage AI to achieve digital transformation goals: enhanced efficiency, decision-making, customer experiences, and more. Address common challenges in managing SAP master data by using AI tools to automate SAP processes and ensure data quality. Create an AI-driven data and process improvement loop to continuously enhance your business operations.

Government 64

Government Business Analyst High Quality Data Data 64

Monte Carlo

AUGUST 15, 2024

I’m sure you’ve heard the saying “garbage in, garbage out” when it comes to data. But what if we could actually turn that garbage into something useful? In this article, we’ll look into data cleaning techniques to clean up messy data using some SQL magic. Table of Contents What Data Cleaning Techniques Involve Handling Missing Data Techniques to Handle Missing Data Removing Duplicates Correcting Inconsistencies Techniques to Correct Inconsistencies Standardizing For

Datasets 52

Datasets SQL Database Design Data Integration 52

KDnuggets

AUGUST 15, 2024

Meet the demand for data science leaders with Northwestern University

Data Science 89

Data Science Data 89