Sat.Nov 12, 2022 - Fri.Nov 18, 2022

How Reliable is Big Data in a Constantly Changing, Unpredictable World?


Data's Backward-Looking Lens – Usefulness Versus Reliance. In 2011, ailing US retailer JCPenney recruited Ron Johnson as CEO, the former president of Apple's retail operations, who is credited with pioneering the concept of the Apple Store.

Mind the Gap Between Data and Analytics

David Menninger's Analyst Perspectives

If you’ve ever been to London, you are probably familiar with the announcements on the London Underground to “mind the gap” between the trains and the platform. I suggest we also need to mind the gap between data and analytics.


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8 reasons why digital transformations fail


Digital transformations can go off the rails in the best of times, but the past two years have wreaked additional havoc since employees began working remotely.

Leveraging Content Management Software to Facilitate a Cloud-First Approach


By Milan Shetti, CEO Rocket Software In today’s fast-paced digital business world, organizations have become highly adaptive and agile to keep up with the ever-evolving demands of consumers and the market.

4 Key Steps to Data Transformation Success with Data Mesh

It’s tougher than ever to give your clients the data and insight they need, when they need it (and how they want it) – while addressing issues like security. Find out how data mesh architectures can help you meet these challenges and more.

Innovative ways AI drones are being used across industries


NDVI maps: Normalized Difference Vegetation Index (NDVI) takes the insights of an RGB map one step further. The map shows the amount of infrared light reflected in an area, which is an indicator of malnourishment and drought.

Comprehensive Guide for Interview Questions on Transfer Learning

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Source: Canva Introduction Competitive Deep Learning models rely on a wealth of training data, computing resources, and time. However, there are many tasks for which we don’t have enough labeled data at our disposal.

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Cybersecurity issues in retail and smart cities


Cybercrime is nothing new. The threats that accompany society’s increased digitalization have been explored in alarmist articles, science fiction movies, and everything in between for decades. But that doesn’t mean the need for robust cybersecurity isn’t real.

The Link Between Analytics Maturity and Social Media Influencers


What could corporations' analytics maturity and social media influencers have in common? More than you might think!

How to Use DevOps Azure to Create CI and CD Pipelines?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction In this article, we will discuss DevOps, two phases of DevOps, its advantages, and why we need DevOps along with CI and CD Pipelines.

Research Papers for NLP Beginners


Read research papers on neural models, word embedding, language modeling, and attention & transformers. KDnuggets Originals Natural Language Processing

Monetizing Analytics Features: Why Data Visualization Will Never Be Enough

Five years ago, data visualizations were a powerful way to differentiate a software application. Today, free visualizations seem to be everywhere. Two trends are forcing application providers to rethink how they offer analytics in their products.

Are Your IoT Devices Leaving Your Network Exposed?


For years, we’ve known that Internet of Things (IoT) devices can come under attack as quickly as within five minutes of being connected to the internet.

IoT 279

Cloud Computing & Its Role in Transforming Automotive Industry


The automotive industry is one such industry that is currently lying at the tip of an iceberg for bringing in a major internal transformation. Products are being developed with a software-oriented approach rather than going for generalized and common ones.

Building Our Applications Using Flutter

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Flutter where F stands for Front- end, L stands for Language, U stands for UI layout, T stands for Time, T stands for Tools, E stands for Enable, and R stands for Rich.

Git for Data Science Cheatsheet


Knowing git is no longer an option for data professionals. Grab this handy reference sheet now and make sure you know how to git the job done. KDnuggets Evergreen KDnuggets Originals Programming

The 2023 Supply Chain Crystal Ball: Challenges and Solutions

Speaker: Olivia Montgomery, Associate Principal Supply Chain Analyst

Curious to know how your peers are navigating ongoing disruption? In this webinar, you’ll gain actionable insights from Olivia Montgomery as she walks us through Capterra’s extensive research on how businesses - notably small and midsize businesses - are addressing supply chain challenges in 2023.

Why Visibility is the Missing Component of Your Digital Transformation Program


Digital Transformation is a phrase prominent in the mind of every board executive. Gartner reports that 87% of senior leaders see digital transformation as a priority for their enterprise.

Data Visualization in Marketing: 5 Key Steps


Modern marketers are presented with a vast amount of data that requires careful analysis to identify new trends and offer the best customer service. The data could be from within your organization, the market, or competitors.

Hierarchical Clustering in Machine Learning

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Hierarchical clustering is one of the most famous clustering techniques used in unsupervised machine learning. K-means and hierarchical clustering are the two most popular and effective clustering algorithms.

If I Had To Start Learning Data Science Again, How Would I Do It?


While different ways to learn Data Science for the first time exist, the approach that works for you should be based on how you learn best.

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.

How Embracing DevOps Will Revolutionize Your Contact Center


Agility may be the defining feature of today’s contact centers. In the past, speed was the name of the game. How could a contact center be as efficient as possible, maximizing the call volume each agent could handle and minimizing average handle time?

What You Need to Know About the End of 3G and Rise of 5G


It's simple: everyone wants their videos to load faster and their texts to arrive safely. With the rise of the 5G network, all of these hopes become a very present reality. 5G is the fifth generation of mobile networks.

IoT 166

Analyzing and Comparing Deep Learning Models

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Deep Learning Overview Deep Learning is a subset of Machine Learning. Deep Learning is established on Artificial Neural Networks to mimic the human brain.

Systems Thinking and Data Science: a partnership or a competition?

Jen Stirrup

Information is pretty thin stuff, unless mixed with experience. – Clarence Day (1874–1935), American essayist. Why do organizations get stuck with their data? It is such a fundamental question. Often, this problem can be due to the organization concentrating solely on technology and data.

Intent Signal Data 101

Intent signal data helps B2B marketers engage with buyers sooner in the sales cycle. But there are many confusing terms used to describe intent data. Read this infographic to better understand three common areas of confusion.

What are decision support systems? Sifting data for better business decisions


Decision support systems definition A decision support system (DSS) is an interactive information system that analyzes large volumes of data for informing business decisions.

Data-Driven Startup Growth with Performance Marketing


Introduction. As a startup or emerging business, you have a lot on your plate. You're trying to build the right product, grow your user base, and keep your existing customers happy.

Top Interview Questions on Voting Ensembles in Machine Learning

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Voting ensembles are the ensemble machine learning technique, one of the top-performing models among all machine learning algorithms.

7 SQL Concepts You Should Know For Data Science


The post explains all the key elements of SQL that you must know as a data science practitioner. KDnuggets Originals SQL

Modern Data Architecture for Embedded Analytics

Data has gone from a mere result of applications & processes to being crowned king. Picking the right avenue to data architecture depends on your organization’s needs. Development teams should build in stages, starting with a task that can be solved.

Why CIOs should invest in digital through economic headwinds


Digital Threats and Countermeasures: How Close are We to a Cyberwar?


Public infrastructure, transport, communication, business, government, finance, and healthcare depend on the synergy and stable functioning of IT environments at all levels. A single disruption in a link of IT processes may cause the entire system to fail, resulting in service unavailability.

State Space Search Optimization Using Local Search Algorithms

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Until now, we have seen two different approaches to state space search. i.e., Uninformed Search and Informed Search Strategies. These search strategies compute the path to the goal state from the initial state.

How LinkedIn Uses Machine Learning To Rank Your Feed


In this post, you will learn to clarify business problems & constraints, understand problem statements, select evaluation metrics, overcome technical challenges, and design high-level systems. KDnuggets Republished Machine Learning

A Deep Dive Into Supply Chain Strategy: 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 design in this post-pandemic era of economic uncertainty.