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

Supply Chain Strategy (And Why Yours Isn't Working)

Speaker: Michelle Meyer, Founder and CEO of MatterProviders

Michelle Meyer is here to walk you through the future of supply chain strategy, and why your current approach is probably not working. In this exclusive webinar, she will explore ways to develop and perfect your new supply chain strategy in this post-pandemic era of uncertainty.

New US CIO appointments, March 2022


Movers & Shakers is where you can keep up with new CIO appointments and gain valuable insight into the job market and CIO hiring trends.

8 Free MIT Courses to Learn Data Science Online


Create a data science learning path with courses from the world’s most prestigious university. KDnuggets Originals Data Science

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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

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.

The Top 5 Business Outcomes Companies Can Achieve From Monitoring Consolidation

In this eBook, learn what the top five business outcomes are that organizations see when leveraging Datadog's end-to-end monitoring tool.

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

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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.

5 Powerful Prescriptive Analytics Examples in Supply Chain

Prescriptive analytics is a type of advanced analytics that optimizes decision-making by providing a recommended action. Supply chain, with its complex planning questions, is typically an area where optimization technology is required. Read about 5 use cases.

Data is Risky Business: Thinking the Unthinkable

The Data Administration Newsletter

This isn’t the column I was intending to write for

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.

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.

Java’s Coffee talk with 5 runtime errors decoded


It is difficult to build programs that will function appropriately even when they are subjected to run-time mistakes during development. It is possible to encounter a Runtime Error throughout running or performing an operation on a program.

Gain a Competitive Edge: The Importance of a Supplier Diversity Program

Speaker: Rod Robinson, SVP of the Supplier Diversity Practice, Insight Sourcing Group

In this exclusive webinar, Rod Robinson, SVP of the Supplier Diversity Practice Lead & Center of Excellence at Insight Sourcing Group, dives into the key benefits corporations are seeing emerge from their supplier diversity programs, and how you can gain unique competitive advantages with a supplier diversity program of your own.

Audio Denoiser: A Speech Enhancement Deep Learning Model

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction As most of us are doing our jobs or attending school/college virtually, we often have to attend online meetings and we can’t expect each of our places to always be quiet.

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 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.

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.

Modernizing Workloads with the Cloud: How to Improve Performance & Reduce Costs

In this eBook, you’ll learn how to migrate workloads to Azure and optimize performance for your serverless and containerized applications in Azure.

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

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.

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.

Getting Started With Scenario Modeling in Supply Chain Network Design

To build your supply chain’s agility and responsiveness, you need to look at scenarios more frequently instead of relying on a single plan. Let’s explore how you can apply scenario modeling in supply chain network design.

What is a data fabric architecture?

IBM Big Data Hub

To simplify data access and empower users to leverage trusted information, organizations need a better approach that provides better insights and business outcomes faster, without sacrificing data access controls.

Side Hustle Ideas for Experienced Data Scientists in 2022

Smart Data Collective

Are you a data scientist ? You might be missing out on some opportunities to make money from it. Even if you already have a full-time job in data science, you will be able to leverage your expertise as a big data expert to make extra money on the side.

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

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.

Secure Your Supply Chain: How to Build Resiliency for the Future

Speaker: Bart Huthwaite, Principal, RSM, Operations and Supply Chain

In this webinar, Bart Huthwaite will explore best practices in building and improving supply chain resilience for a successful and productive future.