Sat.Aug 28, 2021 - Fri.Sep 03, 2021

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EX is the New CX

Rocket-Powered Data Science

(This article is a continuation of my earlier article “ When the Voice of the Customer Actually Talks.”). I recently attended (virtually) CX Summit 2021 , presented by Five9 , which focused on “CX Reimagined.” At first this title for the event seemed a bit grandiose to me – Reimagined! After attending the event, I now think the title was perfect, and it could have gone even further.

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Hand Pose Estimation based on LiDAR in 30 minutes

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction Hello everyone! While cyberpunk has not yet entered our lives that much, and neuro interfaces are far from ideal, LiDAR can become the first stage on the path to the future of manipulators. Therefore, in order not to get bored during the holidays, […]. The post Hand Pose Estimation based on LiDAR in 30 minutes appeared first on Analytics Vidhya.

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Informatica Earns Data Digital Innovation Award for 2021

David Menninger's Analyst Perspectives

The annual Ventana Research Digital Innovation Awards showcase advances in the productivity and potential of business applications, as well as technology that contributes significantly to the improved processes and performance of an organization. Our goal is to recognize technology and vendors that have introduced noteworthy digital innovations to advance business and IT.

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Speech Emotion Recognition Using Deep Learning

Dataiku

In this rapidly advancing AI world, human computer interactions (HCI) are of extreme importance. We live in a world where Siri and Alexa are physically closer to us than other humans. Soon the world will get more populated with physical and virtual service robots to accomplish tasks that range from caring for the elderly to assessing the effectiveness of your marketing campaign.

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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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Understanding the Differences Between Data Lakes and Data Warehouses

Smart Data Collective

Data lakes and data warehouses are probably the two most widely used structures for storing data. In this article, we will explore both, unfold their key differences and discuss their usage in the context of an organization. Data Warehouses and Data Lakes in a Nutshell. A data warehouse is used as a central storage space for large amounts of structured data coming from various sources.

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Essential Text Pre-processing Techniques for NLP!

Analytics Vidhya

This article was published as a part of the Data Science Blogathon What if you could simply talk or converse with a computer just the way you talk to a human? Sounds impressive, doesn’t it? Natural Language Processing helps us do just that! Natural language processing (NLP) can be thought of as an intersection of Linguistics, […]. The post Essential Text Pre-processing Techniques for NLP!

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Using Dataiku to Predict the Upcoming College Football Season

Dataiku

Every single year it feels like Alabama, Clemson, or both compete in the College Football Playoff National Championship. In fact, nine of the last 12 national championship games have featured at least one of those two schools. And, when it is not one of those schools, it’s one of the perennial powers in college football like Ohio State, LSU, or Georgia, for example.

IT 110
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The Growing Role of Analytics in Business Knowledge Management

Smart Data Collective

In the current economic turbulent times, showing business stakeholders that your knowledge sharing and reusing brings business value works as a driving force for investing in a knowledge management tool. . But, how do you convince stakeholders about the importance of knowledge management? Simple! Use data and analytics to back your claims. The simplest way is to measure the performance of your knowledge management.

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Linear Regression and Gradient Descent in PyTorch

Analytics Vidhya

This article was published as a part of the Data Science Blogathon We are using Jupyter notebook to run our code. We suggest following this tutorial on Google Colaboratory. You can check out this link for more info about its usage. To follow through this tutorial prior knowledge of PyTorch and python programming is assumed. No […]. The post Linear Regression and Gradient Descent in PyTorch appeared first on Analytics Vidhya.

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Dashboard Design: Navigation To Better User Experience

FineReport

Dashboard is the core function of data products. It is the medium for users to connect data. Moreover, it takes the shoulders to lead and guide users to make analysis and decision-making, helping users to quickly judge business conditions and supporting them to take respondent actions. Therefore, dashboard design, also called dashboard navigation, is very important for navigating users to better apply dashboards.

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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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No-Code and Low-Code application development as a way to increase Diversity in your organisation

Jen Stirrup

Customers often ask me how they can increase diversity in their workplaces. It is a complicated question since there are so many different aspects to it, such as intersectionality and its implications for treating people equally. The ‘next normal’ reality is the customers expect everything faster with desired personal service. And the expectations will be challenging to meet.

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8 Data-Driven Content Marketing Tips for Any Industry

Smart Data Collective

Big data has led to some remarkable changes in the field of marketing. It has been especially impactful in regards to online content marketing. Many marketers have used AI and data analytics to make more informed insights into a variety of campaigns. Data analytics tools have been especially useful with PPC marketing , media buying and other forms of paid traffic.

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Understanding the Basics of Apache Spark RDD

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Hello readers! In this article, I am going to discuss one of the most essential parts of Apache Spark called RDD. Before getting into Spark RDD, I strongly recommend you to read my article, Understand the internal working of Apache Spark to get an overview of […]. The post Understanding the Basics of Apache Spark RDD appeared first on Analytics Vidhya.

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Data Quality Problems Everywhere You Look

TDAN

Data is everywhere! But can you find the data you need? Can you trust it when you get it? What can be done to ensure the quality of the data? How can you show the value of investing in data? These are not new questions, but many people still do not know how to practically […].

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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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Data Science for Oil & Gas

Dataiku

At the end of the day, the mission of many projects in oil and gas companies can be drawn back to one thing: the efficiency of the wells. Specific targets could be upping production, enhancing recovery, or reducing loss, but all of these things lead to increased efficiency. So let’s explore some of the challenges that oil and gas companies are facing in pursuit of these targets and take a look at how data science, machine learning, and AI offer solutions to the problems that the companies face.

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Key Factors in Choosing Data-Driven Digital Signage Solutions

Smart Data Collective

As we have stated before, big data is becoming vital to modern marketing strategies. We have mentioned that it has been instrumental in virtually all digital marketing strategies in recent years, such as PPC advertising. However, it is becoming abundantly clear that big data technology is also rapidly transforming many traditional marketing practices as well.

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Your Guide to Object Detection with Detectron2 in PyTorch

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Object detection is one of the popular applications of deep learning. Let’s start by considering a real-life example. Most of you would have used Google Photos in your phone, which automatically categorizes your photos into groups based on the objects present in them under […].

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When Data Redefines Companies

Cloudera

The more an enterprise wants to know about itself and its business prospects, the more data it needs to collect and analyze. Additionally, the more data it collects and stores, the better its ability to know customers, to find new ones, and to provide more of what they want to buy. Sounds simple, but a surprising majority of U.S. companies (about two-thirds, according to CIO.com ) are only now getting tuned in to become fully functioning data-driven enterprises by starting new initiatives, scali

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

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

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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Decrease Frustration and Increase Anticipation With AutoML

Dataiku

During the 2021 Dataiku Product Days, Krishna Vadakattu, senior product manager at Dataiku and Christopher Peter Makris, lead data scientist at Dataiku, presented some of Dataiku’s AutoML features and applied them to a predictive analysis use case. This blog post will walk you through this case study to give you an idea of how AutoML can increase your anticipation abilities.

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Big Data Holds the Key to Television and Online Video Production

Smart Data Collective

Hacker Moon published an article talking about the ways that AI and big data are changing the future of the video production industry. Both television and online media outlets are benefiting from these advances. Connectivity and computing power have improved dramatically in recent years. This has made big data accessible to more and more industries.

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Trees in Data Structure Every Data Scientist Should Know About

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction Data structures refer to the pattern of data arrangement on a disK that allows for convenient storage and display in the computing domain. They are related to the field of data science, which is expected to be a lucrative career choice in 2021. […]. The post Trees in Data Structure Every Data Scientist Should Know About appeared first on Analytics Vidhya.

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Applying Data Visualization Principles to Your Business: A Before/After One-Pager Makeover

Depict Data Studio

Lillian Haley, Ph.D., MSW, ChFC® is the president and owner of Haley Evaluation & Research Services (HERS). She’s a Depict Data Studio student and when she shared her before/after makeover during our graduation ceremony, I knew I wanted to showcase her work. Keep up the great work, Lillian! – Ann. —– I discovered Ann’s data visualization work at the 2016 American Evaluation Association (AEA)’s annual conference held in Atlanta, Georgia.

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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.

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Amy D. Grubb: Communication is Key in Digital Transformation

DataRobot

Amy D. Grubb joined Ben Taylor, Chief AI Evangelist at DataRobot, on the More Intelligent Tomorrow podcast to discuss the difficulties of digital transformation and the role of I-O psychology in a large government environment. Trained as an industrial and organizational psychologist, with a Ph.D. from the University of Houston, Amy Grubb has worked at the Federal Bureau of Investigation for more than 22 years.

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Investing in Data Solutions To Streamline Your Retail Business

Smart Data Collective

New advances in data analytics and data mining tools have been incredibly important in many organizations. We have talked extensively about the benefits of using data technology in the context of marketing and finance. However, big data can also be invaluable when it comes to operations management as well. The retail sector, in particular, can benefit immensely from a shift towards a data-driven business model.

Big Data 108
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Searching in Data Structure – Different Search Methods Explained

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction In today’s world, the communication network is expanding at a very fast rate. Businesses are going digital to improve management efficiency. The amount of data generated on the internet is increasing, and as a result, datasets are becoming more complex. It is important […].

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GraphDB Users Ask: Do I Need to Secure All My Workers When I’m Deploying GraphDB in a Cluster With SSL?

Ontotext

ONTOTEXT ANSWER: This one is up to your own decision. At least partially. Let us explain. In short, Java maintains two SSL stores. There’s a keystore and a trust store. The keystore keeps your own certificates that you deploy applications with. The trust store keeps all certificates (and their intermediate certificates) that you trust, but which aren’t your own and you won’t deploy with.

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Launching LLM-Based Products: From Concept to Cash in 90 Days

Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage

Christophe Louvion, Chief Product & Technology Officer of NRC Health, is here to take us through how he guided his company's recent experience of getting from concept to launch and sales of products within 90 days. In this exclusive webinar, Christophe will cover key aspects of his journey, including: LLM Development & Quick Wins 🤖 Understand how LLMs differ from traditional software, identifying opportunities for rapid development and deployment.

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Perception Manipulation in Infographics

TDAN

The purpose of data visualization is to facilitate the perception of information arrays and to identify patterns that are difficult to notice in a text table. To make a useful and powerful infographic, you need to follow the laws and regulations of data visualization. Some violate these laws and use subtle distortions to manipulate users’ […].

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How Humility Can Help Build More Trust in AI

DataRobot

As part of a blog post series on the topic of building trust in AI , we recently talked about how DataRobot organizes trust in an AI system into three main categories: performance, operations, and ethics. In each of these categories is a set of dimensions of trust. The purpose of this blog post is to discuss one dimension of trust in the category of Operations: Humility.

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Pratically Demistifying BERT Language Representation Model

Analytics Vidhya

This article was published as a part of the Data Science Blogathon TABLE OF CONTENTS Introduction Understanding BERT What is Bert Difference From Word2Vec BERT Training BERT Model Variations Implementing BERT in Tensorflow Downloading Model Creating Data Preprocessing Input Encoding To Create Embeddings Understanding Embeddings(using keys) Conclusion References As one can see it will be a […].

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Optimizing Cloudera Data Engineering Autoscaling Performance

Cloudera

The shift to cloud has been accelerating, and with it, a push to modernize data pipelines that fuel key applications. That is why cloud native solutions which take advantage of the capabilities such as disaggregated storage & compute, elasticity, and containerization are more paramount than ever. At Cloudera, we introduced Cloudera Data Engineering (CDE) as part of our Enterprise Data Cloud product — Cloudera Data Platform (CDP) — to meet these challenges.

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Data Modeling for Direct Mail: Boosting Multi-Channel Reach and Response

Speaker: Jesse Simms, VP at Giant Partners

This new, thought-provoking webinar will explore how even incremental efforts and investments in your data can have a tremendous impact on your direct mail and multi-channel marketing campaign results! Industry expert Jesse Simms, VP at Giant Partners, will share real-life case studies and best practices from client direct mail and digital campaigns where data modeling strategies pinpointed audience members, increasing their propensity to respond – and buy.