Sat.Jun 25, 2022 - Fri.Jul 01, 2022

How AI Will Help Navigate Overstock Issues of Tomorrow


The global supply chain is no easy thing to manage. Complex lines link manufactured parts and pieces from nearly every corner of the globe to create a final product. Then the product is shipped to its final destination country where it travels domestically to a store near you.

Risk 252

DataOps Risk Insurance & Mission Control


Chris Bergh shares how to manage data quality and pipeline risk through implementing a 'Mission Control' center for DataOps. The post DataOps Risk Insurance & Mission Control first appeared on DataKitchen. On-Demand Webinar Webinar / Podcast dataops


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Data Driven Culture: A Far-fetched Goal for Organizations

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Creating a collaborative, data-driven culture is one of the most important goals of many modern organizations. A data-driven culture is when data is used to make decisions at every level of the organization.

Semantic Models Benefit Analytical Processes

David Menninger's Analyst Perspectives

I’ve never been a fan of talking about semantic models because most of the workforce probably doesn’t understand what they are, or doesn’t recognize them by name. But the findings in our recent Analytics and Data Benchmark Research have changed my mind.

Build Your Open Data Lakehouse on Apache Iceberg

Speaker: Veena Vasudevan and Jason Hughes

In this webinar, Dremio and AWS will discuss the most common challenges in data architecture and how to overcome them with an open data lakehouse architecture on AWS. Sign up now!

RPA in Insurance: Your Ultimate Guide


Will you be content if you hire and pay four people but only three show up to actually do the work? And yet, many employers do just that. According to McKinsey, an average worker spends 1.8

Celebrating Women in Leadership Roles in the Tech Industry


The technology industry, specifically, has been continuing to close the gender gap. KDnuggets Originals Artificial Intelligence

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8 Reasons Data-Driven Companies Are Utilizing Email Marketing

Smart Data Collective

Big data is at the heart of all successful, modern marketing strategies. Companies that engage in email marketing have discovered that big data is particularly effective. When you are running a data-driven company, you should seriously consider investing in email marketing campaigns.

What is the Use of Data Structures for Machine Learning


Introduction. Data Structure is the way of organizing the data to retrieve it with minimum cost and utilization of resources. On the flip side, Machine Learning is a field of computer science that focuses on the use of data and algorithms to intimate the way of learning.

Data Preparation with SQL Cheatsheet


If your raw data is in a SQL-based data lake, why spend the time and money to export the data into a new platform for data prep? KDnuggets Originals SQL

The Technology of Automation and Artificial Intelligence

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Automation and intelligence are two technologies that are widely used in modern systems, making them cutting-edge.

A Practical Guide to Business Intelligence Governance

Speaker: Marius Moscovici, CEO Metric Insights & Mike Smitheman, VP Metric Insights

This presentation will provide a practical step-by-step guide for implementing effective BI governance and a toolkit for addressing the three critical aspects of any program.

Reflections on Authenticity This Pride Month at Dataiku


What is a queer, woman of color to speak about when given a platform to make an impact at Dataiku? When approached by the Dataiku Queer Employee Resource Group (ERG) to write this blog post, the opportunity left me personally excited and a little overwhelmed to achieve.


The Right Way to Measure ROI on Data Quality


Last week, I was on a Zoom call with Lina, a Data Product Manager who oversees a data quality program for her organization. Her team is responsible for maintaining 1000s of data pipelines that populate many of the company's most business critical tables.

ROI 259

24 SQL Questions You Might See on Your Next Interview


Preparing for the SQL job interview can be overwhelming enough. You don’t need someone telling you that you need to know everything on top of that! Be smart and focus on preparing the SQL questions that appear most often at the job interview. KDnuggets Originals SQL


Stemming vs Lemmatization in NLP: Must-Know Differences

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In the field of Natural Language Processing i.e., NLP, Lemmatization and Stemming are Text Normalization techniques. These techniques are used to prepare words, text, and documents for further processing.

Best Practices to Model Carbon Costs in Supply Chain Network Design

How to model carbon costs in your supply chain design? Make conscious choices by comparing scenarios indicating at which points in the supply chain carbon emissions occur and achieve the right balance between sustainability and cost.

Showcasing Achievements in Data, Analytics, AI, & Beyond


Whether it’s automating everyday tasks, elevating more people to harness the power of data, systematizing transformation, or tackling moonshot projects, data science practitioners around the world leverage Dataiku for a wide range of innovative applications.

Cybersecurity Best Practices for Data Center Protection


The rise in data usage and exponential growth of remote work in recent years has increased the need for reliable data protection centers all around the world.

Risk 251

Statistics and Probability for Data Science


In this article, we discuss the importance of statistics and probability in data science and machine learning. KDnuggets Originals Data Science

20 SQL Coding Interview Questions

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction SQL stands for Structured Query Language. It’s a programming language to interact/query and manage RDBMS (Relational Database Management Systems).

7 Winning Lead Generation Strategies to Drive Growth

As B2B companies pivot to keep pace with a quickly changing marketplace, a data-centric approach to lead generation can be the difference between remaining competitive or being left behind. Get real-world examples and inspiration from leading B2B businesses in this whitepaper.

Quickly Clean Your SAP Supply Chain Data of Pollution

Insight Software

In these unprecedented times, supply chains are more vulnerable than ever. They are the driver of every global company, manufacturer, and supplier, but they are increasingly susceptible to adverse risks.

5 Ways to Slash Your Compliance Costs Using AI


According to Deloitte , compliance costs have risen by 60% for banks and other financial institutions since the 2008 recession. The situation is not much different in other industries as well. As a result, enterprises across the globe are struggling to minimize the cost of compliance under control.

7 Steps to Mastering Python for Data Science


Here’s how you can learn to code in Python from scratch in 7 easy steps. KDnuggets Originals Python

How to Become a Blockchain Developer?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Although blockchain is still in its infancy, the opportunities for developers to contribute are not just exciting but also many.

Easily Build an Optimization App and Empower Your Data

Speaker: Gertjan de Lange

Solving complex business problems requires optimization modeling techniques and data to compare scenarios and make the best decisions. With AIMMS you can rapidly build an optimization app on top of your data and deploy it to the end-user in just a few clicks.

How Tax Professionals Leverage Software to Become More Strategic

Insight Software

Tax teams are taking on an increasingly strategic role within today’s businesses. However, given the rapid pace of change, many executives are still unaware of the untapped strategic potential within these teams. Watch Now: Tax reporting in a changing world.

How To Implement New Technologies In Employee Management


People hate change. Despite this, change is one of life's constants. Everything changes, grows, and evolves. Especially in the workplace. This can be a massive challenge for managers looking to introduce new technologies. Even if those technologies are ultimately implemented with the best intentions.

Top Posts June 20-26: 20 Basic Linux Commands for Data Science Beginners


Also: Decision Tree Algorithm, Explained; 15 Python Coding Interview Questions You Must Know For Data Science; Naïve Bayes Algorithm: Everything You Need to Know; KDnuggets Top Posts for May 2022: 9 Free Harvard Courses to Learn Data Science in 2022. KDnuggets News News

Predicting the Toxicity of Comments Using Text Classification

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction We all check our email every day, possibly more than once. The majority of email service providers have the useful feature of automatically separating spam emails from other emails.

Omnichannel is Multichannel 2.0

Multichannel and omnichannel marketing are not the same. Many organizations are striving for omnichannel, but it can be a daunting journey—unless you have a map. Download your copy of the ultimate omnichannel guide today!

Snowflake and RAPIDS For On-Demand Computing by a Storm

Domino Data Lab

With data being quoted as the oil of the 21 st century and data science being labeled as the sexiest job of the century, we're seeing a sharp rise in data science and machine learning applications in every field. Be IT, Finance or business; predictive analytics is disrupting every industry.

Why Is Kubernetes Governance Critical to a Flourishing Cloud-Native Environment?


Introduction. Kubernetes, Docker, Mesos, and other cloud-native technologies are becoming increasingly popular among developers and IT teams. These technologies help you build containerized applications faster and easier than ever before.

Linear Machine Learning Algorithms: An Overview


In this article, we’ll discuss several linear algorithms and their concepts. KDnuggets Originals Machine Learning

Build a Step-by-step Machine Learning Model Using R

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction to Machine Learning Model Machine learning is changing the approach of businesses in the world. Every company, large or small, aspires to find insight from the large amounts of data it stores and processes regularly.

Data Value Scorecard Report

This report examines the quantitative research of data leaders on data value and return on investment.