Sat.Apr 16, 2022 - Fri.Apr 22, 2022

From the Ground Up: The Truth About Data Innovation


Data holds incredible untapped potential for Australian organisations across industries, regardless of individual business goals, and all organisations are at different points in their data transformation journey with some achieving success faster than others. .

7 secrets of successful digital transformations

CIO Business Intelligence

Organizations that continued full speed ahead with their digital transformation initiatives during the COVID-19 pandemic are able to ruminate on what went right and what they would have done differently, with the benefit of hindsight.


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What to Do After Deploying Your Model to Production?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Congratulations, you have deployed a model to production; it is an achievement for you and your team!

5 Foundational Facts to Understand the Data Labeling Process


The data labeling market is growing at a remarkable rate. Recent estimates suggest that it will be worth over $38 billion by 2028.

The Essential Supply Chain Network Design Tooling Checklist

Dedicated supply chain network design software is fuelled by intuitive scenario analysis capabilities and powerful mathematical optimization. Answer 10 relevant questions to see if advanced network design & scenario modeling technology can help you.

The Next Wave of ‘Ops’ Advances on the Data Center


News News / PR


How to improve forecast accuracy | Phocas


Are your forecasts as close to reality as possible – or are they missing the mark? The reliability of your forecasts can only be as good as your data. Because without reliable, high-quality data? It’s near impossible to produce accurate forecasts the business can depend on.

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Data science Education Is The New Gold Rush.


“Just knowing your data isn't enough, you have to know how to apply it correctly. This is what separates rich people , from extremely rich people.” ” The person who coined the term is a genius. I can say that with full confidence because I am the one who quoted this.

Telco 5G Returns Will Come from Enterprise Data Solutions


This blog post was written by Dean Bubley , industry analyst, as a guest author for Cloudera. .

How to improve forecast accuracy


Are your forecasts as close to reality as possible – or are they missing the mark? finance executive financial statements dynamic reporting budgeting and forecasting

Determining the Market Price of Old Vehicles Using Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Selling old stuff had always been a hassle in earlier times. No matter how good an item might have been, finding a buyer and getting the appropriate Market price was always a challenge.

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!

How to Make Health Care Data Sharing Safer


Businesses and organizations that work with health care data , like hospitals or medical device manufacturers, can face challenges sharing it securely. They may have to contend with ethical concerns and regulations like HIPAA in addition to standard cybersecurity concerns. .

The 8 Basic Statistics Concepts for Data Science


Understanding the fundamentals of statistics is a core capability for becoming a Data Scientist. Review these essential ideas that will be pervasive in your work and raise your expertise in the field. KDnuggets Republished Data Science

How to get smart Financial Statements and improve profitability


While there are numerous metrics to describe a business, the real measure of success is profitability. Think about what has the most meaning to your stakeholders, employees, customers, and suppliers. It’s profit. finance financial statements

A Complete Guide to Pyjanitor for Data Cleaning

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction As a Machine Learning Engineer or Data Engineer, your main task is to identify and clean duplicate data and remove errors from the dataset.

Common Use Cases for Mathematical Optimization

What is mathematical optimization and what are some of the most common use cases for across industries? How can this type of prescriptive analytics be applied to lower costs, reduce carbon emissions, and build more resilient supply chains? Find out in this guide.

Top benefits of using Advanced IT Asset Management in 2022


Organizations have started restructuring their IT services after facing the pandemic, where asset managers are using the opportunity to recalibrate and explore how technology can enable scalable, customer-centric enterprises.

Deploy a Machine Learning Web App with Heroku


In this article, you will learn to deploy a fully functional ML web application in under 3 minutes. KDnuggets Originals Machine Learning

Smart Financial Statements: What business leaders need to know


There is perhaps nothing more dangerous than for an organization to base decisions on inaccurate or incomplete information. finance financial statements

Predicting SONAR Rocks Against Mines with ML

Analytics Vidhya

This article was published as a part of the Machine Learning. Introduction This article is about predicting SONAR rocks against Mines with the help of Machine Learning. SONAR is an abbreviated form of Sound Navigation and Ranging. It uses sound waves to detect objects underwater.

Put Your Data to Work: The Complete Playbook

Turn your data into a competitive advantage. This playbook contains: Exclusive stats, research & insights on how the pandemic affected businesses. A comprehensive “Request For Proposal” (RFP) checklist and an interactive quiz to test your data knowledge.

How Much Does It Cost to Develop An NFT Marketplace?


We live in a world where we can literally find new technology every single day. When blockchain development was considered next-generation technology, it is now considered yesterday's technology with the introduction of NFT and Metaverse development.

IT 207

A Community for Synthetic Data is Here and This is Why We Need It


The first open-source platform for synthetic data is here to help educate the broader machine learning and computer vision communities on the emerging technology. KDnuggets Originals Machine Learning

#PhocasCares helps rescue pugs in Austin during SXSW


At Phocas, we work together to create an environment where we feel good about our jobs and do our best to make a positive difference. events and trade shows culture


The DataHour: Artificial Intelligence in Retail

Analytics Vidhya

Dear Readers, We are back with another episode of our flagship learning series on data analytics, “The DataHour”.

Guide to Mathematical Optimization & Modeling

What is mathematical optimization and how does it compare to other types of analytics? Which tool should you use to develop optimization applications and scale them across the business? What are best practices for successful adoption? Read now.

Background Check API Integration: How Does It Work?


Background screening is a core HR requirement today. Your company may operate only with full-time employees or a mix of remote workers, freelancers, and a core employee base. In either case, there is no alternative to background screening.

IT 207

How to Determine the Best Fitting Data Distribution Using Python


Approaches to data sampling, modeling, and analysis can vary based on the distribution of your data, and so determining the best fit theoretical distribution can be an essential step in your data exploration process. KDnuggets Originals Python

7 Data Lineage Tool Tips For Preventing Human Error in Data Processing

Smart Data Collective

Errors in data entry might have serious effects if they are not discovered quickly. Human mistake is the most common cause of data entry errors. Since typical data entry errors may be minimized with the right steps, there are numerous data lineage tool strategies that a corporation can follow.

Getting Started with PySpark Using Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In this article, we will be getting our hands dirty with PySpark using Python and understand how to get started with data preprocessing using PySpark.

The Retailer’s Guide to Marketing Data

Retailers are faced with extraordinary challenges – from changing consumer needs to unpredictable twists & turns in the economy. Learn how innovative retailers use zero-, first-, second-, and third-party data to find their best customers and drive repeat purchases.

How To Browse The Internet Safely With ReasonLabs VPN


The internet has fundamentally changed modern civilization, becoming an everyday necessity. More and more services , from everyday shopping and utility payments to banking and medical services, rely on the internet to provide some or all their services.

Building a Scalable ETL with SQL + Python


This post will look at building a modular ETL pipeline that transforms data with SQL and visualizes it with Python and R. KDnuggets Originals Data Science

5 Great Tips for Using Data Analytics for Website UX

Smart Data Collective

We have pointed out in the past that big data offers a number of benefits for online commerce. One of the most important benefits of data analytics pertains to optimizing websites for a good user experience. User experience optimization (UX) is becoming more important than ever.

An Overview of HDFS: NameNodes and DataNodes

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Modern applications and products deal with large amounts of data. The quantity of data being processed and utilised in modern times is enormous. So, the question arises? How to manage large files and data.

Implementing Supply Chain Network Design

Companies want to maximize service levels, but they also want to cut costs. These goals are often at odds with one another. How do you find the optimum balance? This guide offers hands-on advice that will help you use network design to achieve successful results.