Sat.Nov 26, 2022 - Fri.Dec 02, 2022

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An Introduction to Julia for Data Analysis

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Which language do we use when it comes to data analysis? Of course, Python, isn’t it? But there is one more language for data analysis which is growing rapidly. Some of you might guess the language – I am talking about Julia. […]. The post An Introduction to Julia for Data Analysis appeared first on Analytics Vidhya.

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5 Current Trends in Big Data for 2022 and Beyond

Smart Data Collective

The world of big data is constantly changing and evolving, and 2021 is no different. As we look ahead to 2022, there are four key trends that organizations should be aware of when it comes to big data: cloud computing, artificial intelligence, automated streaming analytics, and edge computing. Each of these trends will continue to shape the way companies use data in the coming years.

Big Data 144
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Top 5 Interview Questions on Multi-modal Transformers

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Source: totaljobs.com Introduction Until recently, developing new, improved transformers specifically for a single modality was common practice. However, to tackle real-world tasks, there was a pressing need to develop multi-modal transformers models. Multi-modal transformers models are the type of models that employ the […].

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Maximize your data dividends with active metadata

IBM Big Data Hub

Metadata management performs a critical role within the modern data management stack. It helps blur data silos, and empowers data and analytics teams to better understand the context and quality of data. This, in turn, builds trust in data and the decision-making to follow. However, as data volumes continue to grow, manual approaches to metadata management are sub-optimal and can result in missed opportunities.

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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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Material Data Mana-What??

CONTACT Software

When someone asks me something about Material Data Management, I always counter by asking what exactly is meant by “material”? This may not be the answer the other person expects at that moment, but it saves us both long minutes of confusion and talking past each other. The reason: not all materials are the same. … Continue reading "Material Data Mana-What??".

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Data: The Unsung Hero (and Villain) of Digital Transformation

Dataiku

Have you ever been part of a digital transformation that did not go so well? The answer is probably yes. Yet the truth is, that the “digital” part of the transformations are generally done quite well these days. There are enough good platforms, enough good ideas, enough people focused on the customer out there who also understand technology, that the “front end” of the exercise can be done very reliably.

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IBM Builds on Analytics and BI Foundation

David Menninger's Analyst Perspectives

In today’s data-driven world, organizations need real-time access to up-to-date, high-quality data and analysis to keep pace with changing market dynamics and make better strategic decisions. By mining meaningful insights from enterprise data quickly, they gain a competitive advantage in the market. Yet, organizations face a multitude of challenges when transitioning into an analytics-driven enterprise.

Analytics 278
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Scikit-learn for Machine Learning Cheatsheet

KDnuggets

The latest KDnuggets exclusive cheatsheet covers the essentials of machine learning with Scikit-learn.

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PepsiCo transforms for the digital era

CIO Business Intelligence

For any IT leader new to an organization, gaining employee trust is paramount — especially when, like PepsiCo’s Athina Kanioura, you’ve been brought in to transform the way work gets done. Kanioura, who was hired away from Accenture two years ago to serve as the food and beverage multinational’s first chief strategy and transformation officer, says earning employee trust was one of her greatest challenges in those early months.

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Dapp Deployment Using Quick Node RPC

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Let’s say you want to build Dapp on top of the blockchain. So you wrote the code and configured your specification. Now you need to deploy it on the blockchain. But wait, you need to download the entire network to do so! […]. The post Dapp Deployment Using Quick Node RPC appeared first on Analytics Vidhya.

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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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The Best IoT Temperature Sensors for Smart Homes

Smart Data Collective

The Internet of Things (IoT) has changed our lives in extraordinary ways. A number of new IoT devices have made it easier to manage smart homes and have improved or lives. According to Dell Technologies, there will be over 41.6 billion IoT devices online by 2025 , as more people discover their benefits. More homeowners and businesses are looking for IoT devices to invest in.

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How I Got 4 Data Science Offers and Doubled My Income 2 Months After Being Laid Off

KDnuggets

In this blog, I shared my story on getting 4 data science job offers including Airbnb, Lyft and Twitter after being laid off. Any data scientist who was laid off due to the pandemic or who is actively looking for a data science position can find something here to which they can relate.

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DataOps Observability and Automation to the Rescue!

DataKitchen

Data Team members, have you ever felt overwhelmed? The never-ending flow of new information can be stressful, and it’s hard to know where to start. Well, don’t worry because DataOps is here to help! In this post, we’ll discuss how DataOps Observability and Automation can relieve team stress and show you how to get started. So don’t wait any longer.

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What are Smart Contracts in Blockchain?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Source: Image by Gerd Altmann from Pixabay Smart contracts are blockchain-based computer programs that activate at predefined times. In most cases, they are used to eliminate the need for a third party during the execution of a contract, allowing all parties to […].

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8 Steps to Transformation at Speed & Scale – Your Guide to Deploying StratOps

📌Is your Data & AI transformation struggling to really impact the business? Discover the game-changing StratOps approach that: Bridges the Gap : Connect your Data & AI strategy to your operating model, to ensure alignment at every level. Prioritizes Outcomes : Focuses on concrete business outcomes from day one, rather than capabilities in isolation.

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Intellectual Property Law Becomes Murkier As More Creations Are Created with AI

Smart Data Collective

Last September, various news outlets picked up the story of an AI-generated painting taking first place at the Colorado State Fair’s art contest. To create the winning piece, the contestant entered some text into Midjourney, an online app that creates images based on text input. The result is a piece called ‘Théâtre D’opéra Spatial,’ one of the first AI-generated images to win an art contest.

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What Google Recommends You do Before Taking Their Machine Learning or Data Science Course

KDnuggets

First steps to learning data science & machine learning are the foundations.

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DataOps Observability: Taming the Chaos (Part 4)

DataKitchen

Part 4: Reviewing the Benefits. This is the final post in DataKitchen’s four-part series on DataOps Observability. Observability is a methodology for providing visibility of every journey that data takes from source to customer value across every tool, environment, data store, team, and customer so that problems are detected and addressed immediately.

Testing 130
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Parametric and Non-Parametric Correlation in Data Science!

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Hey, are you working on a data science project, solving a problem statement related to data science, or experimenting with a statistical test to make further decisions and handling the most repeatedly cited statistical term, ‘correlation’? Willing to correctly interpret these statistical […].

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Marketing Operations in 2025: A New Framework for Success

Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com

Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.

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Advances in Data Analytics Key to Business Website Optimization

Smart Data Collective

Data analytics technology has had a profound effect on the nature of customer engagement. Analytics is especially important for companies trying to optimize their online presence. Website optimization is absolutely vital for any brand striving to do business online. According to Northern Arizona University, 88% of customers will leave a website due to a poor user experience.

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Top 10 Data Science Myths Busted

KDnuggets

The data science field is full of job opportunities, yet there is still a lot of confusion about what data scientists actually do. This confusion is largely due to the many myths that exist about the role of a data scientist. In this article, we will bust the top 10 myths about data science. By the end of this article, you will have a better understanding of the role of a data scientist and what it takes to be one.

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Talent development: 4 upskilling success stories

CIO Business Intelligence

In the war for talent, sometimes the solution is right in front of you. For businesses struggling to compete for tech talent, investing in your current talent through upskilling and training initiatives can provide invaluable returns, as many IT leaders are finding. A study from Korn Ferry estimates that by 2030 more than 85 million jobs will go unfilled due to a lack of available talent, a talent shortage that could result in the loss of $8.5 trillion annual revenue globally.

Software 116
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Top 5 Interview Questions on Autoencoders

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Source: DDI Introduction Autoencoders are an unsupervised model that takes unlabeled data and learns effective coding about the data structure that can be applied to another context. It approximates the function that maps the data from input space to lower dimensional coordinates and […].

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The Cloud Development Environment Adoption Report

Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.

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Cloud Technology is the New Frontier of Solana Trading

Smart Data Collective

Cloud technology has driven a number of changes in the financial sector. Alternative financial systems such as cryptocurrency trading have also changed as a result of cloud technology. We have talked about the benefits of using the cloud to trade bitcoins in developing economies like Algeria. However, it can be even more useful for trading newer currencies.

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The Complete Data Engineering Study Roadmap

KDnuggets

Everything you need to know to start your career in Data Engineering.

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How to Pinpoint Where Your Organization Wins (and Loses) with Data

CIO Business Intelligence

By George Trujillo, Principal Data Strategist, DataStax Innovation is driven by the ease and agility of working with data. Increasing ROI for the business requires a strategic understanding of — and the ability to clearly identify — where and how organizations win with data. It’s the only way to drive a strategy to execute at a high level, with speed and scale, and spread that success to other parts of the organization.

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Top Customer Analytics Interview Questions

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Data and Information about a Customer are important for all businesses and companies. For a business to be data-driven, a Company needs to be highly data-driven and focus highly on customer analytics. Information about customers can be collected from many sources. It […].

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

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Accessible Business Analytics Set to Be a Boon for Small Businesses

Smart Data Collective

It’s hard to overestimate the value that data insights have come to represent to today’s businesses. Investments in analytics tech have risen commensurately, with some 73 percent of respondents telling IDC that they expect to spend more on data-focused software than any other category in 2023. While emphasizing data analytics has become the standard for the business community as a whole, smaller teams are often the exception.

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Black Friday Deal – Master Machine Learning for Less with DataCamp

KDnuggets

Secure major savings on DataCamp’s Black Friday deal and Cyber Monday deal!

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AWS adds machine learning capabilities to Amazon Connect

CIO Business Intelligence

In a bid to help enterprises offer better customer service and experience , Amazon Web Services (AWS) on Tuesday, at its annual re:Invent conference, said that it was adding new machine learning capabilities to its cloud-based contact center service, Amazon Connect. AWS launched Amazon Connect in 2017 in an effort to offer a low-cost, high-value alternative to traditional customer service software suites.

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Why Web 3 should be Green and Sustainable?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Web3 is being heralded as the internet’s future. This new blockchain-based web’s vision includes cryptocurrencies, NFTs, DAOs, decentralized finance, and other features. It provides a read/write/own version of the web to which users have a monetary stake in and greater control over […].

Finance 341
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The Ultimate Guide To Data-Driven Construction: Optimize Projects, Reduce Risks, & Boost Innovation

Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network

In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.