Sat.May 21, 2022 - Fri.May 27, 2022

The DataHour: Introduction to Blockchain

Analytics Vidhya

Dear Readers, When the entire world is so buzzed with the word ‘Blockchain’ How can we leave our readers behind? Some of us are already aware and part of the cryptocurrency world and most of us still have our apprehensions.

Data and Analytics Processes: Can We Get Personal?

David Menninger's Analyst Perspectives

There is a fundamental flaw in information technology, or at least in the way it is most commonly delivered. Most technology systems are developed under the assumption that all people will use the system primarily in the same way.


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How To Energize The Data Behind AI


Artificial intelligence ( AI ) is one of the biggest technology trends of the coming decade. In an increasingly digital world, propagating and collecting data are the default state of modern business and all internet activity.

How KLN Brands support 11% growth and move forward with Phocas


Scaling and expanding are daunting challenges for any organization, but this midwest manufacturer has found the key for this quandary. case study manufacturing finance sales executive consumer goods financial statements

How to Choose the Right Business Intelligence Vendor

How does your current BI vendor stack up against the competition? Who’s the perfect vendor for your business needs? Find out by downloading your complimentary copy today!

15 Most Common Data Science Interview Questions

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Source – Introduction Job interviews are…well, hard! Some interviewers ask hard questions while others ask relatively easy questions. As an interviewee, it is your choice to go prepared.

DataKitchen Named a Representative Vendor in the 2022 Gartner® Data and Analytics Essentials: #DataOps Report


"The goal of DataOps is to enable predictable delivery and change management of data and all data-related artifacts such as data pipelines, data models and semantics".

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The Definitive Guide To Switching Your Career Into Data Science


Colossal amounts of data need to be dealt with by specialists. It’s no wonder then that the job prospects in this industry are expected to rise much faster than in other occupations. KDnuggets Originals Career Advice

Adding Explainability to Clustering

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction The ability to explain decisions is increasingly becoming important across businesses. Explainable AI is no longer just an optional add-on when using ML algorithms for corporate decision making.

How AI Can Supercharge Your Ransomware Defense In 2022?

Smart Data Collective

Human-operated ransomware attacks have threat actors using certain methods to get into your devices. They depend on hands-on-keyboard activities to get into your network. AI can protect you in the event of these and other attacks.

Six Examples of Tech-Enabled Data Collection, Monitoring, and Conflict Prevention


From supply chains to workforce diversity, companies have a growing array of data at their disposal. New technologies help companies to collect, monitor, and act on information about their operations, as well as to engage with stakeholders on a broad range of issues.

Cyber Security, Change Management and Enterprise Risk Management: Scaling Operations for Growth

Speaker: William Hord, Vice President of Risk Management and Compliance

Join us as we discuss the various tangents of data and the change management process that will help you make better risk-based business decisions to save time and money for your organization.

The Complete Collection of Data Science Books – Part 2


Read the best books on Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, MLOps, Robotics, IoT, AI Products Management, and Data Science for Executives. KDnuggets Originals Data Science

IoT 100

Loan Prediction Problem From Scratch to End

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Loan Prediction Problem Welcome to this article on Loan Prediction Problem. Below is a brief introduction to this topic to get you acquainted with what you will be learning.

How Smart Cities Can Leverage Data Technology to Improve Air Quality

Smart Data Collective

Big data has led to some very important changes in our lives. However, few people realize that data technology is helping solve environmental issues. One of the most stunning facts revealed by the new coronavirus pandemic (COVID-19) has been our acceptance of polluted air.

How Data Pipelines Work with Warehouses


Organizations often get data from varying sources. The data could be structured, semi-structured, or even unstructured data like audios or videos. Data is a key asset for any organization irrespective of its domain and size.

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!

Understanding Agent Environment in AI


The role of the agent is always very important in artificial intelligence, machine learning, and deep learning. Learn more about agents here. KDnuggets Originals Artificial Intelligence

Building a 3D-CNN in TensorFlow

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on 3D-CNN The MNIST dataset classification is considered the hello world program in the domain of computer vision.

The Importance of Implementing a Sensible Data Collection Strategy

Smart Data Collective

Data has become one of the most valuable assets to modern organizations. Some companies are still in denial of its importance, but their hesitance to embrace it is subsiding. One poll found that 36% of companies rate big data as “crucial” to their success.

Banking challenges and trends in investment banking


The investment banking industry is undergoing a major shift, one driven by new competition from Fintech, changing business models, mounting regulation and compliance pressures, and disruptive technologies.

The Benefits of Infused Analytics for SaaS Applications and Companies

If you want to be successful, you need the best technologies, and the best technologies come from having the best embedded partners. See how infused analytics can take your SaaS applications to the next level.

Data Science, Statistics and Machine Learning Dictionary


Check out this curated list of the most used data science terminology and get a leg up on your learning. KDnuggets Originals Data Science

Organised Preprocessing for Pandas Dataframe

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on Preprocessing Preprocessing is an essential step in machine learning.

4 Elements of Success for Companies that Develop Big Data Applications

Smart Data Collective

Big data technology is changing our lives in countless ways. Due to the many benefits that data provides, more companies are investing in it. Global companies are expected to spend over $234 billion by 2026.

How to Support Business Agility with Hybrid Cloud Services


As we progress into the modern world, organizations are proactively turning into living beings. Like in humans, every organ and system must work together to keep the body running; in an organization, applications, data , systems, people, and resources need to work together..

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.

Weak Supervision Modeling, Explained


This article dives into weak supervision modeling and truly understanding the label model. KDnuggets Originals Machine Learning

Comparison of the RMS Energy and the Amplitude Envelope

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Have you ever wondered what an audio’s Amplitude Envelope and RMS energy are? And, if you had to choose, which of these do you believe would be most resilient to outliers?

What I Learned At Gartner Data & Analytics 2022

Timo Elliot

I was at the Gartner Data & Analytics conference in London a couple of weeks ago and I’d like to share some thoughts on what I think was interesting, and what I think I learned…. First, data is by default, and by definition, a liability , because it costs money and has risks associated with it.

15 Biggest Threats to Mobile Apps Security


Mobile app security is an issue that has given sleepless nights to even enterprise-level organizations in the last few years. With the advancement of technology, the risk or threats to mobile application security have increased immensely. .

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Start Taking Your Embedded Partnerships Seriously

Choosing the right embedded partner matters. See the many reasons why developers love Qrvey (and why you will too!) in this free PDF.

Predicting Cryptocurrency Prices Using Regression Models


In this article, we explore how to get started with the prediction of cryptocurrency prices using multiple linear regression.

Amazon Price Tracking System Using Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Image Source: Link Introduction In this article, we will be learning how we can use Python to keep track of our “wanna-buy” items on Amazon.

The Role of Blockchain When Buying Bitcoin in 2022

Smart Data Collective

Blockchain is one of the most disruptive technologies of the 21st Century. A growing number of industries are using blockchain to operate more efficiently or boost security. However, blockchain is still most important in the realm of cryptocurrencies.

Ensure Your Startup Stands Out From The Crowd: The Benefits Of Using Powered Templates


Ensure Your Startup Stands Out From The Crowd: The Benefits Of Using Powered Templates.

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.