July, 2020

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8 Data Visualization Tips to Improve Data Stories

Analytics Vidhya

Overview Get to know the essential data visualization tips and techniques to improve your data stories Understand the effects of these data visualization tips. The post 8 Data Visualization Tips to Improve Data Stories appeared first on Analytics Vidhya.

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What Is Ad Hoc Reporting? Your Guide To Definition, Meaning, Examples & Benefits

datapine

“The goal is to turn data into information, and information into insight.” – Carly Fiorina, former executive, president, HP. Digital data is all around us. In fact, we create around 2.5 quintillion bytes of data every single day, with 90% of the world’s digital insights generated in the last two years alone, according to Forbes. If utilized correctly, data offers a wealth of opportunity to individuals and companies looking to improve their business’ intelligence, operational efficiency, pr

Reporting 260
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Farfetch CDO Kshitij Kumar: Data Availability has Never Been More Important

Corinium

With data and analytics leaders across the globe transforming the way their businesses operate to meet the challenges of COVID-19, we caught up with Farfetch CDO Kshitij Kumar to get his take on what the future has in store. As a fashion retailer, Farfetch must have been affected by COVID-19. How has the pandemic affected the way Farfetch uses data and analytics?

Analytics 300
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Tips for Operationalizing AI from DCO Financial Services EU

Corinium

Conversations at this two-day digital event centered around how to extract maximum value from financial services AI and analytics initiatives. With the World Economic Forum reporting that 64% of financial services executives expect to be ‘mass adopters’ of AI technologies by 2022, it’s clear that the sector’s AI revolution is well underway.

Reporting 300
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The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Communication

Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.

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DCO Insurance Benchmarks the Industry’s Digital Transformation Progress

Corinium

After a slow start, the insurance industry is embracing digital transformation – and this digital event highlighted how the sector’s data and analytics executives are leading the charge. Spurred on in part by InsureTechs intent on disrupting the industry, insurance companies have finally begun accelerating their digital transformations.

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Statistics for Data Science: What is Skewness and Why is it Important?

Analytics Vidhya

Overview Skewness is a key statistics concept you must know in the data science and analytics fields Learn what is skewness, the formula for. The post Statistics for Data Science: What is Skewness and Why is it Important? appeared first on Analytics Vidhya.

More Trending

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Utilize The Undeniable Power Of Professional COO Dashboards & Reports

datapine

Chief operating officers (COOs) have a demanding task to make sure all operational activities within a company are performed in the best possible manner, but their career development can vary based on industry and previous experience. We won’t delve into details about the career prospects of this C-level position but we will present COO dashboards and reports that are critical for helping chief operating officers across the world to effectively manage their time, company, operational proce

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Enterprise Architect Salary: What to Expect and Why

erwin

Enterprise architecture plays a key role in the modern enterprise, so the average enterprise architect salary reflects the demand. In this post: Average Salary for an Enterprise Architect. What Does an Enterprise Architect Do? Enterprise Architect Salary Expectations. What’s Influencing Enterprise Architecture Salaries? The Tools Enterprise Architects Need to Thrive.

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Insight everywhere: The state of analytics in 2020

CIO Business Intelligence

The world bought into the idea of continual improvement ever since Japanese car companies embraced it in the ‘70s and ate Detroit's lunch. But you can’t improve what you can’t measure – which is why analytics now envelops the entire enterprise, crunching every data set it can find to get a clear view of current reality and suggest a better road ahead.

Analytics 145
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DCO Government Highlights Data-Driven Innovation in the Public Sector

Corinium

This two-day digital event shone a spotlight on the most innovative data strategies, data-driven cultures and digital transformations in the US public sector. More than 100 senior data and analytics officials working within federal, state and local government attended Data Champions Online, Government from June 23-24, to network with their peers and exchange knowledge virtually.

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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

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Transfer Learning for NLP: Fine-Tuning BERT for Text Classification

Analytics Vidhya

Introduction With the advancement in deep learning, neural network architectures like recurrent neural networks (RNN and LSTM) and convolutional neural networks (CNN) have shown. The post Transfer Learning for NLP: Fine-Tuning BERT for Text Classification appeared first on Analytics Vidhya.

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AI, Protests, and Justice

O'Reilly on Data

Largely on the impetus of the Black Lives Matter movement, the public’s response to the murder of George Floyd, and the subsequent demonstrations, we’ve seen increased concern about the use of facial identification in policing. First, in a highly publicized wave of announcements, IBM, Microsoft, and Amazon have announced that they will not sell face recognition technology to police forces.

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I Am Done Using Visual Studio!

Paul Turley

for BI data model development. For several years, Visual Studio has been my go-to tool for designing semantic data models used for Business Intelligent reporting. Back in 2005, I used the Business Intelligence Development Studio (BIDS) Visual Studio add-in for SSIS, SSRS and SSAS projects to develop BI solutions with multidimensional cubes. In 2012 when Microsoft began the transition from on-disk cubes to in-memory SSAS Tabular models, I used SQL Server Data Tools (SSDT) to create tabular models

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What People Don't Tell You About Being a Data Scientist

Dataiku

This is a guest blog post by Dataquest, an online learning platform that teaches data science skills, by helping students to work with real datasets. There’s been a lot of hype around the data scientist role in recent years and it’s definitely true that there’s a lot to get excited about -- high-paying salaries, growing demand, the potential for interesting work, and did I mention high-paying salaries?

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How to Build an Experimentation Culture for Data-Driven Product Development

Speaker: Margaret-Ann Seger, Head of Product, Statsig

Experimentation is often seen as an aspirational practice, especially at smaller, fast-moving companies who are strapped for time and resources. So, how can you get your team making decisions in a more data-driven way while continuing to remain lean and maintaining ship velocity? In this webinar, Margaret-Ann Seger, Head of Product at Statsig, will teach you how to build an experimentation culture from the ground-up, graduating from just getting started with data-driven development to operating

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What is ArchiMate?

erwin

ArchiMate is an enterprise architecture (EA) modeling language from The Open Group and used to communicate an organization’s enterprise architecture. Pronounced “ AR-ki-mayt” , the modeling language’s name comes from a compounding of “ archi tecture” and “ani mate.” The name conveys its aim to provide a way to visualize an organization’s EA. Unlike other modeling languages such as Unified Modeling Language (UML) and Business Process Modeling Notation (BPMN), ArchiMate is designed to be narrow in

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In this insightful fireside chat, we’re joined by Eva Ross, Chief Customer and Marketing Officer at Sendle

Corinium

Eva shares what COVID-19 meant for them as a business, how they worked tirelessly to pivot to meet the customer needs of now, and how their communication strategy, sense of community, and their brand purpose were central to that response.

Marketing 195
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How to Train an Image Classification Model in PyTorch and TensorFlow

Analytics Vidhya

Overview Get an overview of PyTorch and TensorFlow Learn to build a Convolutional Neural Network (CNN) model in PyTorch to solve an Image Classification. The post How to Train an Image Classification Model in PyTorch and TensorFlow appeared first on Analytics Vidhya.

Modeling 400
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Power, Harms, and Data

O'Reilly on Data

A recent article in The Verge discussed PULSE , an algorithm for “upsampling” digital images. PULSE, when applied to a low-resolution image of Barack Obama, recreated a White man’s face; applied to Alexandria Ocasio-Cortez, it built a White woman’s face. It had similar problems with other images of Black and Hispanic people, frequently giving them White skin and facial features.

Testing 135
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Entity Resolution Checklist: What to Consider When Evaluating Options

Are you trying to decide which entity resolution capabilities you need? It can be confusing to determine which features are most important for your project. And sometimes key features are overlooked. Get the Entity Resolution Evaluation Checklist to make sure you’ve thought of everything to make your project a success! The list was created by Senzing’s team of leading entity resolution experts, based on their real-world experience.

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Doing Power BI the Right Way

Paul Turley

This is an introduction to a series of posts and pages that will provide a comprehensive set of best practices for successful Power BI solutions. In previous posts, I have asked readers to suggest topics for future posts. Based on that and other feedback, I will be addressing questions and suggested topics.

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Doing Good with Data: Teradata's COVID-19 Resiliency Dashboard

Teradata

To help our customers navigate the world's new normal, our teams have created a business-centric, execution-focused tool – we call it the Resiliency Dashboard.

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Four Steps to Building a Data-Driven Culture

erwin

Fostering organizational support for a data-driven culture might require a change in the organization’s culture. But how? Recently, I co-hosted a webinar with our client E.ON , a global energy company that reinvented how it conducts business from branding to customer engagement – with data as the conduit. There’s no doubt E.ON, based in Essen, Germany, has established one of the most comprehensive and successful data governance programs in modern business.

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PODCAST: COVID19 | Redefining Digital Enterprises – Episode 10: COVID-19 | Evolving Trends of Digital Transformation

bridgei2i

PODCAST: COVID 19 | Redefining Digital Enterprises. Episode 10: COVID-19 | Evolving Trends of Digital Transformation. Listening time: 12 minutes. COVID-19 | Evolving Trends of Digital Transformation. In this episode of the AI to Impact Podcast, Anand Ganesh and Vignesh CV delve into the various facets of digital transformation in the aftermath of COVID-19.

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Strategic CX: A Deep Dive into Voice of the Customer Insights for Clarity

Speaker: Nicholas Zeisler, CX Strategist & Fractional CXO

The first step in a successful Customer Experience endeavor (or for that matter, any business proposition) is to find out what’s wrong. If you can’t identify it, you can’t fix it! 💡 That’s where the Voice of the Customer (VoC) comes in. Today, far too many brands do VoC simply because that’s what they think they’re supposed to do; that’s what all their competitors do.

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7 Open Source Data Science Projects you Should Add to your Resume

Analytics Vidhya

Overview Open source data science projects add a lot of value to your resume and help you stand out in an interview Here are. The post 7 Open Source Data Science Projects you Should Add to your Resume appeared first on Analytics Vidhya.

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Eating the Knowledge Soup, Literally

Ontotext

There was a time in the not so distant past when a convoluted question like “How many calories are in Tesco’s best-selling soup?” was very unlikely to bring anything meaningful, notes Phil Lewis in Smarter enterprise search: why knowledge graphs and NLP can provide all the right answers. In that time, continues Lewis, we all had to transform our searches to keywords in the hope that the systems we queried would give us better results and we would ultimately find out what we were looking for.

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Doing Power BI the Right Way: 1. Futureproofing Power BI solutions

Paul Turley

When starting a Power BI project, you have many choices to make. Decisions like how to source your data, where and how to create queries to cleanse, transform and reshape the data; where and how to create calculations and the nuances of modeling are just the tip of the iceberg.

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Why You Need to Create a Data Visualization Style Guide to Tell Great Stories (Part 1)

Depict Data Studio

I met Sara DeLong a few summers ago when I led a dataviz training at her agency. We’ve stayed in touch, and she’s contributed fantastic articles like Could Your Long Report Become a City Billboard? and Report Redesign Tricks That Really Work. In this two-part series, Sara will teach us how to create data visualization style guides. Thanks for another time-saving resource, Sara!

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The Big Payoff of Application Analytics

Outdated or absent analytics won’t cut it in today’s data-driven applications – not for your end users, your development team, or your business. That’s what drove the five companies in this e-book to change their approach to analytics. Download this e-book to learn about the unique problems each company faced and how they achieved huge returns beyond expectation by embedding analytics into applications.

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What Is TOGAF? The Open Group Architecture Framework

erwin

The Open Group Architecture Framework (TOGAF) is a type of enterprise architecture (EA) framework. In this post, we’ll cover: What Is TOGAF? History of TOGAF. TOGAF ADM. The Benefits of TOGAF. Is TOGAF Free? TOGAF vs. DODAF vs. MODAF vs. NAF. Implementing an EA Framework. What Is TOGAF? TOGAF is one example of an enterprise architecture framework. Enterprise architecture frameworks help organizations regulate the methods and language used to create, describe and administer changes to an enterpri

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How Deep Does Your Sentence Embedding Model Need to Be?

Dataiku

It’s been over two years now that Google launched Smart Reply , a feature for Gmail that automatically suggests short replies for users’ emails. Behind this technology are many natural language processing (NLP) models that allow this program to process and understand human language.

Modeling 122
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5 Striking Pandas Tips and Tricks for Analysts and Data Scientists

Analytics Vidhya

Overview Pandas provide tools and techniques to make data analysis easier in Python We’ll discuss tips and tricks that will help you become a. The post 5 Striking Pandas Tips and Tricks for Analysts and Data Scientists appeared first on Analytics Vidhya.

Analytics 400
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Return on Data – The New Valuation for Future Retail

Teradata

Today’s retailers face an abundance of data scattered across their organizations. The way forward is as much about having a strategic approach to data as it is about technology.

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The Data Metaverse: Unpacking the Roles, Use Cases, and Tech Trends in Data and AI

Speaker: Aindra Misra, Sr. Staff Product Manager of Data & AI at BILL (Previously PM Lead at Twitter/X)

Embark on a transformation journey into the heart of the data ecosystem! This webinar is your gateway to a deeper comprehension of the foundations that drive the data industry and will equip you with the knowledge needed to navigate the evolving landscape. Delve into the diverse use cases where data analytics plays a pivotal role. We’ll explore how these applications are transforming with the introduction of Gen AI, and discuss the anticipated use cases for 2024 and beyond.