March, 2022

Quantum Computing: Almost There


When business journals start trying to explain some complicated technology in simple terms, it’s usually a sure sign of a technology entering the mainstream. Quantum computing is no exception.

Importance of Natural Language Processing (NLP)

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Machines can decipher and analyze human language using Natural Language Processing (NLP).


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Explorium Improves Machine Learning Models With External Data

David Menninger's Analyst Perspectives

Today, organizations understand the importance of good external data that can be integrated with internal data to train machine learning models.

Why it’s time to rethink financial forecasting


The demands on finance teams are changing. As organizations face increasing uncertainty, business functions are turning to finance teams to provide more frequent, accurate forecasts to help them adapt fast. finance executive financial statements KPIs dynamic reporting budgeting and forecasting

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.

A Guide On How To Become A Data Scientist (Step By Step Approach)


Becoming a Data Scientists is an exciting path, but you cannot learn data science within one year or six months—instead, it’s a lifetime process that you have to follow with proper dedication and hard work.

Big Data Makes Smart Buildings the Norm in the 21st Century

Smart Data Collective

You have probably heard a lot talk about the Internet of Things (IoT). It is one of the biggest trends driven by big data. It is popular because billions of devices will be connected in the future. The IoT sector is predicted to generate over £7.5 trillion across the world.

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DogeCoin Prediction Using Time Series Analysis

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Photo by Kanchanara on Unsplash Table of Contents Introduction Gentle Overview What is Time Series Analysis? Types of analysis ARIMA Moving Average Exponential Smoothing Heard of DogeCoin?

Working Across the Aisle in Analytics: Involving IT and LOB

David Menninger's Analyst Perspectives

For years, maybe decades, we have heard about the struggles between IT and line-of-business functions. In this perspective, we will look at some of the data from our Analytics and Data Benchmark Research about the roles of IT and line-of-business teams in analytics and data processes.

Why lack of time isn't ?the only? barrier to finance transformation


Most organizations know they need digital transformation – but too many aren’t delivering

5 Data Science Projects to Learn 5 Critical Data Science Skills


Learn these to take any data science project idea from brainstorm to deployment. KDnuggets Originals Data Science

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!

Data Analytics and Social Media: Twin Pillars in the Evolution of Business

Smart Data Collective

META: We’re breaking down the ways social media has changed businesses and how you can use these changes to get ahead. Digital technology is unquestionably changing the future of business.

Reshaping business strategies with AI


Artificial intelligence is revolutionizing the technology industry. We are seeing an increase in the number of solutions that include chat bots and virtual agents, with huge organizations incorporating AI all over the whole tech stack.

Let’s Find Out How to Make Engaging Videos?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In this article, we will be predicting how engaging a video can be at the user level.

Natural Language Processing Enables Self-service Analytics & BI

David Menninger's Analyst Perspectives

Natural language processing (NLP) is a field that combines artificial intelligence (AI), data science and linguistics that enables computers to understand, interpret and manipulate text or spoken words.

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.

The Telecommunications Service Provider Journey – From Telco to Techco


Earlier this month, the multi-national carrier MTN announced a rebranding, and along with its logo refresh, announced that it was moving to focus on being a technology provider.

3 Reasons Why You Should Use Linear Regression Models Instead of Neural Networks


While there may always seem to be something new, cool, and shiny in the field of AI/ML, classic statistical methods that leverage machine learning techniques remain powerful and practical for solving many real-world business problems. KDnuggets Republished Machine Learning

Serverless Kubernetes Has Become Invaluable to Data Scientists

Smart Data Collective

Data science is a growing profession. While it involves more opportunities than ever, it also has a lot more complications. Standards and expectations are rapidly changing, especially in regards to the types of technology used to create data science projects.

How to Craft a Data Management Strategy and Why it is Important


Already routinely called the currency, the lifeblood, and the new oil of the modern business world, data promises organizations unbeatable competitive advantages. Lured by this promise, many companies have defaulted to hoarding every piece of data they can lay hands on.

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.

Background Removal in the Image using the Mediapipe Library

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Overview In this article, we will be making an application that will remove or replace the background of the image with another image.

Don’t Rely on Dashboards for Real-Time Analytics

David Menninger's Analyst Perspectives

I have written previously that the world of data and analytics will become more and more centered around real-time, streaming data. Data is created constantly and increasingly is being collected simultaneously.

Code From Paradise: Dataiku's New R&D Hub in Reunion Island


The COVID-19 global pandemic forced us to experiment with how and where we work in an extensive way and many struggled with this transition. But the experience was definitely eye-opening on many levels.


WTF is a Tensor?!?


A tensor is a container which can house data in N dimensions, along with its linear operations, though there is nuance in what tensors technically are and what we refer to as tensors in practice. KDnuggets Originals Machine Learning

IT 111

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.

Do Data Companies Need Chief Ethics Officers?


Sometimes it takes a billion-dollar mistake to bring the murkier side of data ethics into sharp focus. Equifax found this out to their own cost in 2017 when they failed to protect the data of almost 150 million users globally.

The Definitive Guide to Data Warehouse vs. Data Lake vs. Data Lakehouse


Struggling to harness data sprawl, CIOs across industries are facing tough challenges. One of them is where to store all of their enterprise’s data to deliver robust data analytics. There have traditionally been two storage solutions for data: data warehouses and data lakes.

Operating on the Pandas DataFrame in Python

Analytics Vidhya

Overview DataFrame in Python Performing Data Cleaning Operations on the Pandas DataFrame Introduction Undoubtedly, a DataFrame in python is the most important structure used to store the data because it is used in all practical cases to store our given data set which we will be using for creating our models. It is defined under […].

Looker Simplifies Business Intelligence in the Cloud

David Menninger's Analyst Perspectives

Organizations face various challenges with analytics and business intelligence processes, including data curation and modeling across disparate sources and data warehouses, maintaining data quality and ensuring security and governance.

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.

Best AI Twitter Automation Tools Marketers Should Use in 2022

Smart Data Collective

AI technology is changing many aspects of modern business. More companies are using AI technology to automate their social media marketing strategies. We previously mentioned the benefits of using data analytics to make the most of social media marketing. However, AI is arguably even more important.

From Google Colab to a Ploomber Pipeline: ML at Scale with GPUs


In this short blog, we’ll review the process of taking a POC data science pipeline (ML/Deep learning/NLP) that was conducted on Google Colab, and transforming it into a pipeline that can run parallel at scale and works with Git so the team can collaborate on. KDnuggets Originals Machine Learning

Women Leaders in Data Discuss Breaking Bias on International Women’s Day


As an official sponsor of International Women’s Da y, Cloudera is excited to celebrate Women’s History Month and International Women’s Day, and to take up the mantle of this year’s theme #BreakTheBias. .

How Much Does a Facial Recognition System Cost


With the help of a facial recognition system, federal agents could capture a man suspected of abuse. The tool detected him in the background of someone else’s photo at the gym, in the mirror. So, the agents were able to get to that gym, ask about the man, and eventually capture him.

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.