Sat.Apr 09, 2022 - Fri.Apr 15, 2022

Add Value to Your Business with AI Data Labeling


What comes to your mind when you think of artificial intelligence , machine learning , and deep learning? A generalized notion of how we perceive AI is movielike robots that outperform human intelligence. Some of us also think of AI as machines that consume data and learn by themselves.

How scenario planning helps you take control in uncertainty


It’s no secret the most successful, forward-thinking organizations can adapt to change fast. They have an eye on the future, plan for different scenarios, and as a result – end up miles ahead of their competitors. finance executive financial statements dynamic reporting budgeting and forecasting


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Is Quantum Computing the Future of Artificial Intelligence?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Source: Introduction It is not hidden from the audience that quantum computing is the future of data processing.

5 Different Ways to Load Data in Python


Data is the bread and butter of a Data Scientist, so knowing many approaches to loading data for analysis is crucial. Here, five Python techniques to bring in your data are reviewed with code examples for you to follow. KDnuggets Originals Python


The Essential Supply Chain Network Design Tooling Checklist

Dedicated supply chain network design software is fuelled by intuitive scenario analysis capabilities and powerful mathematical optimization. Answer 10 relevant questions to see if advanced network design & scenario modeling technology can help you.

Digital Twins Are a Foundational Layer of the Metaverse


While Zuckerberg’s announcement to refocus the company on the metaverse brought the metaverse into the limelight of the general public, it also caused industrial companies to become wary of talking about the metaverse because they don’t want to be associated with Facebook.

Technology in Focus Q&A with the Builders Merchant Federation (BMF)


For the BMF's brand-new feature ‘Technology in Focus’ in their member magazine One Voice, they got the low-down from our very own Adam Butler; BI Consultant here at Phocas UK. Incase you missed it, here's his interview in full. Enjoy! Why is technology investment so important for the industry? In a highly competitive market like merchanting, technology can be a real source of competitive advantage for those willing to invest.

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AI is Creating Powerful New Online Time Tracking Tools

Smart Data Collective

Artificial intelligence technology has been instrumental in driving many important changes in our daily lives. We use a ton of online tools and mobile apps that rely heavily on AI technology. How important has AI been in transforming mobile apps and online tools?

How to Collect Actionable Data from Your Target Audience


Are you interested in using big data to gather audience insights? If so, you're not alone. Business owners, entrepreneurs, and marketers understand the importance of learning about their visitors' goals and pain points through data.

Data Visualization in Python with Seaborn


Learn to create beautiful charts in Python using the Seaborn library. KDnuggets Originals Python

Using Computer Vision to Convert Images in Watercolor Art

Analytics Vidhya

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

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!

Why Machine Learning Can Lead to the Perfect Web Design

Smart Data Collective

Machine learning technology is becoming a more important aspect of modern marketing. One of the biggest reasons for this is that digital marketing is playing a huge role in marketing strategies for most companies. Companies are expected to spend $460 billion on digital marketing this year.

How Can Mobile Apps Use IoT for an Innovative Future


According to Statista , globally, there will be approximately 25.44 billion connected devices. These devices will include smart health monitors, smartphones, smartwatches, televisions, smart home accessories, home security systems, and much more.

IoT 213

Answering Questions with HuggingFace Pipelines and Streamlit


See how easy it can be to build a simple web app for question answering from text using Streamlit and HuggingFace pipelines. KDnuggets Originals NLP

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End-to-End Beginners Guide on Spark SQL in Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In this article, we are going to cover Spark SQL in Python. In the last article, we have already introduced Spark and its work and its role in Big data. If you haven’t checked it yet, please go to this link.

Common Use Cases for Mathematical Optimization

What is mathematical optimization and what are some of the most common use cases for across industries? How can this type of prescriptive analytics be applied to lower costs, reduce carbon emissions, and build more resilient supply chains? Find out in this guide.

Geospatial Analytics Made Simple With Dataiku: Distributional Modeling of a Bird Species


You may have read, heard, or experienced first hand the value of geospatial data for a variety of business and daily life applications. You might be also aware that this field of analytics is gaining more and more traction and can get quite complex and challenging in terms of talent and resources.

Azure Service Bus Throttling conditions


When architecting a solution in Azure , it is always important to keep in mind any limitations which might apply. These limitations can come not only from tier choice but also from technical restrictions. Here, we will have a look at the Service Bus throttling conditions, and how to handle them.

Becoming an AI-first Organization


The term “AI-first” has received its share of attention lately, especially in the boardroom where strategies to gain a competitive advantage are always welcome. But before a company embarks on an AI-first strategy, it pays to understand what it is and how it will transform the organization.

Beginners Tutorial for Regular Expression in Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Like every other person, I’ve faced quite some difficulties in using a regular expressions, and I am sure still there is a lot to learn. But, I’ve reached a point where I can use them in my day-to-day work.

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.

Data Science Interview Guide – Part 2: Interview Resources


Check out these resources to help you prepare for your data science Interview, or for those who are brushing up on their technical skills or who want to start learning data science. KDnuggets Originals Career Advice

A Hands-on Tutorial for Transfer Learning in Python

Domino Data Lab

Fitting complex neural network models is a computationally heavy process, which requires access to large amounts of data. In this article we introduce transfer learning - a method for leveraging pre-trained model, which speeds up the fitting and removes the need of processing large amounts of data.

10 Big Data Examples Showing The Great Value of Smart Analytics In Real Life At Restaurants, Bars, and Casinos

Datapine Blog

“You can have data without information, but you cannot have information without data.” – Daniel Keys Moran. When you think of big data, you usually think of applications related to banking, healthcare analytics , or manufacturing.

Face Detection Using the DLIB Face Detector Model

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Overview In this article, we will be discussing the face detection process using the Dlib HOG detection algorithm.

Guide to Mathematical Optimization & Modeling

What is mathematical optimization and how does it compare to other types of analytics? Which tool should you use to develop optimization applications and scale them across the business? What are best practices for successful adoption? Read now.

7 famous analytics and AI disasters

CIO Business Intelligence

In 2017, The Economist declared that data, rather than oil, had become the world’s most valuable resource. The refrain has been repeated ever since. Organizations across every industry have been and continue to invest heavily in data and analytics.

Stop Trying to be a Digital Bank


Digitization is necessary, but not sufficient to meet evolving customer demands & create the bank of the future. Use data analytics to help customers achieve their goals not deliver better apps

How to Write Engaging Technical Blogs


Learn the rules for writing technical blogs, and increase unique views tenfold. Focusing on title, images, vocabulary, code blocks, writing style, and social media promotion can help you build a solid brand. KDnuggets Originals Career Advice


All About Popular Graph Network Tools in Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In this article, we will discover Graph Network Tools and Packages in python that are currently dominating in the data science industry. The world is all about relations.

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.

Oracle’s ME employee experience suite targets workforce challenges

CIO Business Intelligence

In response to the pandemic and the resultant Great Resignation , Oracle has launched a new employee experience platform, dubbed Oracle ME, under its Fusion Cloud Human Capital Management (HCM) suite to help enterprises with workforce challenges such as attrition.

Data In Motion: NASA and Aurica


Some 300 million years ago, Earth had one continent called Pangea. Over millions of years, that vast single land mass broke up and drifted in different directions, creating the seven continents that exist today. .

How to prioritize data strategy investments as a CDO

IBM Big Data Hub

My first task as a Chief Data Officer (CDO) is to implement a data strategy. Over the past 15 years, I’ve learned that an effective data strategy enables the enterprise’s business strategy and is critical to elevate the role of a CDO from the backroom to the boardroom.

Learn About Apache Spark Using Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In the last article, we discussed Apache Spark and the big data ecosystem, and we discussed the role of apache spark in data processing in big data. If you haven’t read it yet, you can find it on this page.

Implementing Supply Chain Network Design

Companies want to maximize service levels, but they also want to cut costs. These goals are often at odds with one another. How do you find the optimum balance? This guide offers hands-on advice that will help you use network design to achieve successful results.