June, 2022

Understanding Loss Function in Deep Learning

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction The loss function is very important in machine learning or deep learning.

RPA in Insurance: Your Ultimate Guide


Will you be content if you hire and pay four people but only three show up to actually do the work? And yet, many employers do just that. According to McKinsey, an average worker spends 1.8


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Domo Enables Real-Time Collaboration for Analytics

David Menninger's Analyst Perspectives

Organizations are constantly trying to streamline and optimize business data to solve complex problems and identify opportunities to increase revenue and accelerate business growth.

Closer to AGI?

O'Reilly on Data

DeepMind’s new model, Gato, has sparked a debate on whether artificial general intelligence (AGI) is nearer–almost at hand–just a matter of scale. Gato is a model that can solve multiple unrelated problems: it can play a large number of different games, label images, chat, operate a robot, and more.

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.

My top learning and pondering moments at Splunk.conf22

Rocket-Powered Data Science

I recently attended the Splunk.conf22 conference. While the event was live in-person in Las Vegas, I attended virtually from my home office. Consequently I missed the incredible in-person experience of the brilliant speakers on the main stage, the technodazzle of 100’s of exhibitors’ offerings in the exhibit arena, and the smooth hip hop sounds from the special guest entertainer — guess who ?

The 15 most important Financial KPIs in the data decade


In the business world, there are a lot of competing priorities and jargon to describe them, which makes it difficult to evaluate a priority’s true importance. finance financial statements KPIs and metrics budgeting and forecasting

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How Data Annotation is Important to Retail’s AI Adaptation


AI is expanding in every industry, especially in retail , where experts estimate that spending on AI will be $12 billion by 2023. They projected the retail industry to grow from 23.6 trillion U.S. dollars in 2018 to around 26.7 trillion U.S. dollars by 2022.

Semantic Models Benefit Analytical Processes

David Menninger's Analyst Perspectives

I’ve never been a fan of talking about semantic models because most of the workforce probably doesn’t understand what they are, or doesn’t recognize them by name. But the findings in our recent Analytics and Data Benchmark Research have changed my mind.

Data Preparation with SQL Cheatsheet


If your raw data is in a SQL-based data lake, why spend the time and money to export the data into a new platform for data prep? KDnuggets Originals SQL

Why Are Organizations Focusing on Data Security?

Smart Data Collective

Data breaches are becoming more common than ever. The International Association of Privacy Professionals reports that there were 1,862 data breaches in 2021 alone. This figure is growing by the year. Organizations must make data security a top priority.

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.

Jardan slashes reporting time with Phocas


Australian-based furniture retailer paves the way for growth with faster reporting, powerful analytics, and better decision-making. case study manufacturing sales MYOB executive ERP

Multi-Table Analysis with MYSQL

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on MYSQL In this article, we will see how to work with multiple tables. Learning SQL is very important nowadays. It is a very popular technology that most companies are using.

What are the Dangers of the Metaverse?


Technology is neutral. It can bring prosperity to humanity or bring pain and destruction to society. The metaverse will not be any different. We can expect any of the crimes committed in the real world to take place, and potentially explode, on the immersive internet.

Kyvos Accelerates Business Intelligence in the Cloud

David Menninger's Analyst Perspectives

Organizations are scaling business intelligence initiatives to gain a competitive advantage and increase revenue as more data is created. Lack of expertise, data governance and slow performance can impact these efforts.

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.

Introducing Objectiv: Open-source product analytics infrastructure


Collect validated user behavior data that’s ready to model on without prepwork. Take models built on one dataset and deploy & run them on another. Products and Services Partners

8 Reasons Data-Driven Companies Are Utilizing Email Marketing

Smart Data Collective

Big data is at the heart of all successful, modern marketing strategies. Companies that engage in email marketing have discovered that big data is particularly effective. When you are running a data-driven company, you should seriously consider investing in email marketing campaigns.

The mission matters: Moving to climate tech as a data scientist

Data Science and Beyond

Discussing my recent career move into climate tech as a way of doing more to help mitigate dangerous climate change

The DataHour: How to Transition into Data Science?

Analytics Vidhya

Dear Readers, I appreciate you coming onto our platform and expanding your knowledge. I am sure, by now, some of you must be interested to make a transition into the Data Science industry as it’s one of the most host-selling jobs (if we can put it that way :D).

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.

How to Deploy a Simple Master Slave Kubernetes Cluster on AWS Using Ubuntu


Introduction. Kubernetes is a container-based open-source orchestrator that allows easier management and scaling of both containers and virtual machines. It can be used as a standalone system or in conjunction with other cloud providers' offerings.

The Future Is Hybrid Data, Embrace It


We live in a hybrid data world. In the past decade, the amount of structured data created, captured, copied, and consumed globally has grown from less than 1 ZB in 2011 to nearly 14 ZB in 2020.

IT 92

24 SQL Questions You Might See on Your Next Interview


Preparing for the SQL job interview can be overwhelming enough. You don’t need someone telling you that you need to know everything on top of that! Be smart and focus on preparing the SQL questions that appear most often at the job interview. KDnuggets Originals SQL


AI Helps Mitigate These 5 Major Supplier Risks

Smart Data Collective

Artificial intelligence is driving a lot of changes in modern business. Companies are using AI to better understand their customers, recognize ways to manage finances more efficiently and tackle other issues. Since AI has proven to be so valuable, an estimated 37% of companies report using it.

Risk 101

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.

DataOps Risk Insurance & Mission Control


Chris Bergh shares how to manage data quality and pipeline risk through implementing a 'Mission Control' center for DataOps. The post DataOps Risk Insurance & Mission Control first appeared on DataKitchen. On-Demand Webinar Webinar / Podcast dataops

Top 5 Networking Predictions in 2022

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on Networking Predictions The last two years were challenging for the whole world. Everything was affected, from business, and government to the economy.

Teaching the Ethics of Analytics


I've written about and given much thought to ethics and its relationship to analytics and data science. I even worked with O'Reilly Media to compile a book on the topic in 2020.

Reflections on Authenticity This Pride Month at Dataiku


What is a queer, woman of color to speak about when given a platform to make an impact at Dataiku? When approached by the Dataiku Queer Employee Resource Group (ERG) to write this blog post, the opportunity left me personally excited and a little overwhelmed to achieve.


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.

Deep Learning Key Terms, Explained


Gain a beginner's perspective on artificial neural networks and deep learning with this set of 14 straight-to-the-point related key concept definitions. KDnuggets Originals Machine Learning

How Understanding Data Can Improve Your Marketing Efforts

Smart Data Collective

Global companies spent over $2.83 billion on marketing analytics in 2020. This figure certainly increased in light of the pandemic, as digitization accelerated. Marketing has always been about numbers.

DataOps Mission Control And Managing Your Data Infrastructure Risk


DataOps Mission Control. Data Teams can’t answer very basic questions about the many, many pipelines they have in production and in development. For example: Data. Is there a troublesome pipeline (lots of errors, intermittent errors)? Did my source files/data arrive on time?

Risk 130

Translate Spanish Audio transcriptions to Quechua

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on Quechua In this article, we will create an app for translating Spanish Audio transcriptions to Quechua.

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.