Sat.Jul 24, 2021 - Fri.Jul 30, 2021

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Understanding K – Means Clustering WIth Customer Segmentation Usecase

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Overview This article will help us understand the working behind K-means. The post Understanding K – Means Clustering WIth Customer Segmentation Usecase appeared first on Analytics Vidhya.

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Using Event Data in Manufacturing to Improve Business Processes

David Menninger's Analyst Perspectives

Event data can be used to enhance existing processes, but it can also be used to dramatically impact operations, revenue models and the bottom line for manufacturers. Our Benchmark Research shows 95% of manufacturers consider it important to speed the flow of information and improve responsiveness within business processes. In this perspective I’ll share how manufacturers are working with event data to transform their organizations.

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Zendesk The Agility Playbook

Corinium

If companies weren't flexing their agility muscles before the pandemic, they certainly are now. Zendesk surveyed to help enterprise businesses stay ready, no matter what comes next. With original data and actionable insights from CX business leaders at 90,000 companies, this agility playbook will help enterprise stay ready, no matter what comes next.

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The Unexpected Value of Data Storytelling in Sales Presentations

Juice Analytics

Andy Raskin calls the following Zuora presentation “ the greatest sales deck I’ve ever seen.” Zuora Sales Deck from Ryan Gum Why’s it so great? It explains how a changing world will lead to winners and losers, and gives the customer a tease of how they can become a winner with the magic of the product. The weakness of this pitch is the evidence it provides to convince the audience that these things are true.

Sales 140
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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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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How much Mathematics do you need to know for Machine Learning?

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Image Source No matter how long-running a love-hate relationship you have. The post How much Mathematics do you need to know for Machine Learning? appeared first on Analytics Vidhya.

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4 Ways Data-Driven Automation Enhances Merchandise Distribution

Smart Data Collective

The supply-chain analytics market is projected to be worth over $16.8 billion by 2027. This is largely due to the benefits of using data analytics to improve automation in merchandise distribution. As a retailer or manufacturer selling via e-commerce platforms, you already know the importance of using big data to improve automation. While some jobs must be performed by actual humans, many can be performed just as well through algorithms, machines, and other technologies.

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DataKitchen Wins Data & Analytics Vendor of the Year Award – OnConferences

DataKitchen

The post DataKitchen Wins Data & Analytics Vendor of the Year Award – OnConferences first appeared on DataKitchen.

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Predicting The Wind Speed Using K-Neighbors Classifier

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Hi, all Analytics Vidhya readers. Hope you all are doing well. The post Predicting The Wind Speed Using K-Neighbors Classifier appeared first on Analytics Vidhya.

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CRM’s Have a Big Data Technical Debt Problem: Here’s How to Fix It

Smart Data Collective

Customer relationship management (CRM) platforms are very reliant on big data. As these platforms become more widely used, some of the data resources they depend on become more stretched. CRM providers need to find ways to address the technical debt problem they are facing through new big data initiatives. This will be easier as advances in big data make this more possible.

Big Data 136
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The Semantic Web: 20 Years And a Handful of Enterprise Knowledge Graphs Later

Ontotext

The Semantic Web, both as a research field and a technology stack, is seeing mainstream industry interest, especially with the knowledge graph concept emerging as a pillar for data well and efficiently managed. But what exactly are we talking about when we talk about the Semantic Web? And what are the commercial implications of semantic technologies for enterprise data?

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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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#ClouderaLife Spotlight: Vinicius Cardoso, Sr Solutions Engineering

Cloudera

Meet Vinicius Cardoso, better known as Vini. . He is a Sr. Solutions Engineer (SE) working in Australia. . In his role, customers are at the center of everything he does. Wearing the hat of Enterprise Architect, he dives deep to understand customer’s organization goals, initiatives and requirements in order to identify the key capabilities that need to be delivered. .

Sales 122
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A Guide To Monte Carlo Simulation!

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Monte Carlo simulation is a computational algorithm that makes use. The post A Guide To Monte Carlo Simulation! appeared first on Analytics Vidhya.

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Cloud Technology: the Cornerstone of a Small Business’s Online Presence

Smart Data Collective

We have talked in depth about the massive benefits of cloud technology for small businesses. There are a number of compelling reasons that businesses need to turn to cloud technology to develop a strong edge against the competition. This explains why the cloud technology market will grow by $287 billion over the next four years. There are a number of cloud computing applications that can help companies improve their bottom lines.

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Think About Growing Room When Buying an AI Platform

Dataiku

When shopping for kids’ clothes, you wouldn’t dream of buying anything that fits just right, or you risk finding yourself back at the store looking for the same item mere months later. You always think about a little growing room — sure, it has to be reasonably comfortable now, but it also needs to last. Buying an AI platform isn’t much different when it comes to that space for growth, and here’s why.

Risk 111
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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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Enterprise Data Science Workflows with AMPs and Streamlit

Cloudera

Here in the virtual Fast Forward Lab at Cloudera , we do a lot of experimentation to support our applied machine learning research, and Cloudera Machine Learning product development. We believe the best way to learn what a technology is capable of is to build things with it. Only through hands-on experimentation can we discern truly useful new algorithmic capabilities from hype.

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Getting Started with Natural Language Processing using Python

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Why NLP? Natural Language Processing has always been a key tenet. The post Getting Started with Natural Language Processing using Python appeared first on Analytics Vidhya.

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Using Data Analytics to Build Dedicated Project Teams: Steps to Success

Smart Data Collective

Data analytics is the backbone in many modern organizations. Companies need to analyze data to optimize their business models in a variety of ways. They have found that big data has changed their business models in countless ways. One of the biggest applications of data analytics has been through the development and organization of dedicated teams. This has been even more important during the pandemic, but this data-driven approach to business management will continue long after the pandemic sub

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Empowering the Financial Analyst With ESG Through Analytics and Data Science

Dataiku

The race to ESG continues to accelerate in the financial services space. All major players have now taken firm commitments to embed Environmental, Social, and Governance (ESG) criteria in all their critical processes, with a strong focus on global warming management. The creation of the Net-Zero Alliance by 43 major banks including Société Générale, Citi, and Morgan Stanley and main insurance players including Aviva and Zurich insurance is yet another sign that the financial industry is getting

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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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Five Strategies to Accelerate Data Product Development

Cloudera

Introduction. With this first article of the two-part series on data product strategies, I am presenting some of the emerging themes in data product development and how they inform the prerequisites and foundational capabilities of an Enterprise data platform that would serve as the backbone for developing successful data product strategies. Once we have identified those capabilities, the second article explores how the Cloudera Data Platform delivers those prerequisite capabilities and has enab

Strategy 120
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Anomaly detection using Isolation Forest – A Complete Guide

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction: Any data point/observation that deviates significantly from the other observations. The post Anomaly detection using Isolation Forest – A Complete Guide appeared first on Analytics Vidhya.

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3 Key Components of the Interdisciplinary Field of Data Science

Domino Data Lab

Data science is an exciting, interdisciplinary field that is revolutionizing the way companies approach every facet of their business. Through a marriage of traditional statistics with fast-paced, code-first computer science doctrine and business acumen, data science teams can solve problems with more accuracy and precision than ever before, especially when combined with soft skills in creativity and communication.

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Why You Must Leverage Encryption for Data Protection in the Digital Transformation Era

Smart Data Collective

The race to embrace digital transformation is on and a lot of organizations are doing everything possible to ensure they digitize every piece of information; this is, however, putting at greater risks of cyber-attacks and data breaches. Taking into account that the global spend on digital transformation is projected to hit an astonishing $2.39 Trillion by 2024 , it’s obvious that data security challenges will hit new heights.

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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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Jinkies! Let's Use Dataiku to Determine the Best Member of the Mystery Gang!

Dataiku

Exploratory Data Analysis, or EDA, can be both exhilarating and daunting. Exhilarating because you hold the world at your fingertips — it is exciting to look at a dataset for the first time and begin to imagine all of the interesting insights you might find. It is also extremely daunting to look at a dataset for the first time and not know where to start or worry if the path you decide to take will tell you anything useful at all.

IT 105
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Creating Data Science Python Package using Jupyter Notebook

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Image by Author | Photo by Shahadat Rahman | Elements. The post Creating Data Science Python Package using Jupyter Notebook appeared first on Analytics Vidhya.

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Learn How Cloudera Drives Healthcare Data Insights at HIMSS 21

Cloudera

HIMSS21 is just a few days away, and we hope you will join us to talk about how we can all achieve better health outcomes by working together. Health organizations across the world are evaluating safety precautions as COVID-19 cases continue to wax and wane and they consider universal questions such as, when is it safe to allow our administrative staff to return to the office, and how can we reassure our patients that we are committed to their health and safety?

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Humans and AI: What Should You Tell Consumers?

DataRobot

Have you ever asked a simple question, then unexpectedly received a complex answer? In my experience, this happened most often when dealing with lawyers and academics, but more recently I’ve noticed the same behavior coming from data scientists. Sometimes I just want a quick and simple explanation! What was your most hated subject at school? An AP-AOL news poll found that mathematics was the subject that 37% of Americans hated most during their school days, easily ranking as the most hated schoo

Sales 98
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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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A Spotlight on Different Ways of Working at Dataiku

Dataiku

Are you more of a remote worker who likes to focus at home or someone who thrives in the office chatting with your colleagues? Maybe you are both, exclusively one, or maybe it depends on the day! There is no right or wrong answer to this, just personal preferences that you and your employer need to be aware of. Right?

IT 105
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Car Price Prediction – Machine Learning vs Deep Learning

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon 1. Objective In this article, we will be predicting the prices. The post Car Price Prediction – Machine Learning vs Deep Learning appeared first on Analytics Vidhya.

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Business Intelligence Dashboard Software: Make Business Successful

FineReport

Living in a digital era, foresighted enterprises resort to business intelligence to improve their competitiveness. Among amounts of intelligent choices, business intelligence(BI) dashboard software is an awesome one. BI dashboard software definition. Business intelligence dashboard is a common module that general business intelligence has to realize data visualization.

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GraphDB Users Ask: Can You Help Me Understand The Built-in GraphDB Security?

Ontotext

ONTOTEXT ANSWER: Security automation is a fairly frequent task and forgetting an important password is an inevitability of life. Fortunately, both problems are really easy to solve using the default GraphDB security module. Security is controlled by the file settings.js. , located under./work/workbench in your GraphDB home directory. By default, this would be the root GraphDB installation directory.

IT 98
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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.