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.

Build Your Open Data Lakehouse on Apache Iceberg

Speaker: Veena Vasudevan and Jason Hughes

In this webinar, Dremio and AWS will discuss the most common challenges in data architecture and how to overcome them with an open data lakehouse architecture on AWS. Sign up now!

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

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

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?

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A Practical Guide to Business Intelligence Governance

Speaker: Marius Moscovici, CEO Metric Insights & Mike Smitheman, VP Metric Insights

This presentation will provide a practical step-by-step guide for implementing effective BI governance and a toolkit for addressing the three critical aspects of any program.

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

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).

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.

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.

Best Practices to Model Carbon Costs in Supply Chain Network Design

How to model carbon costs in your supply chain design? Make conscious choices by comparing scenarios indicating at which points in the supply chain carbon emissions occur and achieve the right balance between sustainability and cost.

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


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 ?

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.

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.

7 Winning Lead Generation Strategies to Drive Growth

As B2B companies pivot to keep pace with a quickly changing marketplace, a data-centric approach to lead generation can be the difference between remaining competitive or being left behind. Get real-world examples and inspiration from leading B2B businesses in this whitepaper.

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.

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

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

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.


Easily Build an Optimization App and Empower Your Data

Speaker: Gertjan de Lange

Solving complex business problems requires optimization modeling techniques and data to compare scenarios and make the best decisions. With AIMMS you can rapidly build an optimization app on top of your data and deploy it to the end-user in just a few clicks.

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.

Is Adult Income Dataset Imbalanced?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon.

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.

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.

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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!

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

Showcasing Achievements in Data, Analytics, AI, & Beyond


Whether it’s automating everyday tasks, elevating more people to harness the power of data, systematizing transformation, or tackling moonshot projects, data science practitioners around the world leverage Dataiku for a wide range of innovative applications.

Using Data Analytics and QR Codes to Boost Your Marketing Strategy

Smart Data Collective

Data analytics technology has helped countless companies improve their marketing strategies. Global companies are spending over $3 billion a year on marketing analytics technology and this figure is growing over 12% a year.

Differences Between Web 2.0 and Web 3.0

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction If you have been paying close attention to the blockchain industry, then you have undoubtedly been familiar with the words “Web 2.0” ” and “Web 3.0.”

Data Value Scorecard Report

This report examines the quantitative research of data leaders on data value and return on investment.