Sat.Jul 18, 2020 - Fri.Jul 24, 2020

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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 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.

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InMoment - Showcasing Return on Customer Experience Investment (ROXI)

Corinium

This is an adapted excerpt from InMoment’s new eBook “Evolving Your Customer Experience Program”. Download here. Even though it’s generally understood that experience management programs help businesses to be more efficient, profitable, and higher performing, customer experience (CX) professionals are consistently challenged to prove the economic impact of their programs.

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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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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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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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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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Top Machine Learning Algorithms, Frameworks, Tools and Products Used by Data Scientists

Business Over Broadway

A recent survey by Kaggle revealed that data professionals used a variety of different algorithms, tools, frameworks and products to extract insights. Top algorithms were linear/logistic regression, decision trees/random forests and Gradient Boosting Machines. Top frameworks were Scikit-learn and TensorFlow. Top tools for automation were related to model selection and data augmentation.

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The Data Journey: From Raw Data to Insights

Sisense

Blog. We live in a world of data: there’s more of it than ever before, in a ceaselessly expanding array of forms and locations. Dealing with Data is your window into the ways organizations tackle the challenges of this new world to help their companies and their customers thrive. In a world of proliferating data, every company is becoming a data company.

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Understanding and coding Neural Networks From Scratch in Python and R

Analytics Vidhya

Note: This article was originally published on May 29, 2017, and updated on July 24, 2020 Overview Neural Networks is one of the most. The post Understanding and coding Neural Networks From Scratch in Python and R appeared first on Analytics Vidhya.

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Power BI External Tools: Reading the Tea Leaves

Paul Turley

This week, Christian Wade from Microsoft announced on the Microsoft Power BI blog that a new ribbon "External Tools" was added to the preview features of Power BI Desktop in the July update. In earlier posts, Christian has promoted community developed tools such as Tabular Editor, DAX Studio and the ALM Toolkit that can be used as replacements or extensions to the Power BI development experience.

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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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5 Tips For IT Engineers to Avoid Multitasking

FineReport

In today’s fast-paced technological environment, everyone’s focus is often on the concept such as “data middle-platform”, “data warehouse”, and so on. Many people often overlook the basis of company operations: reports. Although the technical content of this work is not high, it often takes a lot of time, and the final result is often thankless.

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Flying High: Data-Powered Recovery in the Travel Industry

Sisense

Blog. Analytics and data are changing every facet of our world. In The State of BI & Analytics , we expand on our original research, keeping you ahead of the curve on the world of analytics, data, and business intelligence. The COVID-19 pandemic has impacted virtually every sector. Government responses the world over are still struggling to make headway against the virus and it’s left businesses and banks scrambling for answers as to when a recovery will take hold and what it will look like.

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10 Techniques to deal with Imbalanced Classes in Machine Learning

Analytics Vidhya

Overview Get familiar with class imbalance Understand various techniques to treat imbalanced classes such as- Random under-sampling Random over-sampling NearMiss You can check the. The post 10 Techniques to deal with Imbalanced Classes in Machine Learning appeared first on Analytics Vidhya.

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From Triage to Recovery: The New F&A Journey

Jet Global

The COVID-19 crisis has catapulted many businesses into triage mode, with finance and accounting teams scrambling to shore up company finances in the face of an economic downturn. Government assistance in the form of Paycheck Protection Program (PPP) loans, the Main Street Lending Program, and other initiatives have been a lifeline for most small and mid-sized businesses.

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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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PODCAST: COVID19 | Redefining Digital Enterprises – Episode 11: The Impact of COVID-19 on Consumer Packaged Goods Industry

bridgei2i

PODCAST: COVID 19 | Redefining Digital Enterprises. Episode 11: The Impact of COVID-19 on Consumer Packaged Goods. Industry. Listening time: 12 minutes. The Impact of COVID-19 on Consumer Packaged Goods Industry. In this episode of the AI to Impact podcast, Consumer Packaged Goods (CPG) expert and industry veteran, Mukesh Saharan, discusses the aftereffects of COVID-19 on the industry.

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Changing assignment weights with time-based confounders

The Unofficial Google Data Science Blog

by ALEXANDER WAKIM Ramp-up and multi-armed bandits (MAB) are common strategies in online controlled experiments (OCE). These strategies involve changing assignment weights during an experiment. However, if one changes assignment weights when there are time-based confounders, then ignoring this complexity can lead to biased inference in an OCE. In the case of MABs, ignoring this complexity can also lead to poor total reward, making it counterproductive towards its intended purpose.

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24 Commonly used SQL Functions for Data Analysis tasks

Analytics Vidhya

Introduction Anything and everything related to data in the 21st century have become of prime relevance. And one of the key skills for any. The post 24 Commonly used SQL Functions for Data Analysis tasks appeared first on Analytics Vidhya.

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4 Problems Financial Reporting Automation Solves for Corporate Finance Teams

Jet Global

With the growing sophistication of software solutions, automation is changing the landscape of the modern workplace. This is especially true in the world of finance, where businesses generate an overwhelming amount of data. That’s why more and more companies are shifting from manually preparing their financial statements to automated financial reporting.

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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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Data Dictionary Best Practices in 2020

Octopai

The data dictionary remains a crucial tool for BI teams to organize their metadata. The implementation of automation in data technology has made these tools even more powerful. So, implementing best practices is now more important than ever. Following strict guidelines when putting together a data dictionary helps eliminate data overlap and minimizes the chance of providing misleading information.

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Are you building AI that your customers will trust?

IBM Big Data Hub

In the current business climate, digital transformation is imperative. Across every industry, organizations are building and scaling AI to create new ways of doing business. But businesses face some common challenges in their journey to AI, including talent scarcity, data complexity, and a lack of trust in AI systems.

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5 Exciting Computer Vision Applications With Relevant Datasets!

Analytics Vidhya

Overview Computer vision is the technology that allows the digital world to interact with the real world. Explore 5 of the hottest applications of. The post 5 Exciting Computer Vision Applications With Relevant Datasets! appeared first on Analytics Vidhya.

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Effecting Change With Nuveen’s Data-Driven Responsible Investing Initiative

Bruno Aziza

The demand for responsible investing initiatives, that integrate environmental, social and governance (ESG) factors into analysis and decision making, have seen a remarkable rise over the past several years.

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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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The Real BI Trends in 2020: What 2,865 BI Professionals Think

BI-Survey

The post The Real BI Trends in 2020: What 2,865 BI Professionals Think appeared first on BI Survey.

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Dissecting the Transformer

Dataiku

We saw how attention works and how it improved neural machine translation systems (see the previous blog post ), we are going to unveil the secrets behind the power of the most famous NLP models nowadays (a.k.a BERT and friends), the Transformer. In this second part, we are going to dive into the details of this architecture with the aim of getting a solid understanding of how its different components operate and interact.

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MobileBERT: BERT for Resource-Limited Devices

Analytics Vidhya

Overview As the size of the NLP model increases into the hundreds of billions of parameters, so does the importance of being able to. The post MobileBERT: BERT for Resource-Limited Devices appeared first on Analytics Vidhya.

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5 Tips to Manage Cash Flow Pressures

Jet Global

In 2020, businesses around the globe are watching cash more closely than ever. Cash flow is the lifeblood of every business, so there is good reason to keep a watchful eye on liquidity in the current environment. The arrival of the coronavirus brought a level of disruption that many people have never seen before in their lifetimes. While the hope is that the worst of it is over, the road back to normalcy is likely to be long and potentially bumpy.

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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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Why You Need to Treat Models Like Data

Teradata

Models are crucial in creating business value and need to be handled with care. That's why models should be treated like data. Learn more.

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From Promises to Frustration: Diagnosis of the Cultural Constraints Limiting Data Science and AI Adoption at Scale

Dataiku

This is a guest post from our friends at SAEGUS. Founded at the end of 2014, SAEGUS allies the innovation ability of a start-up and the service level of a consulting firm, to put digital and data valuation at the core of its customers’ strategy. In addition to the founders’ experience gained from working with major French companies comes a multidisciplinary team of talents able to speak all languages of data: from business strategy to AI adoption, through data science expertise, MLOps, and data

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The What, Why, When, and How of Incremental Loads

Tim Mitchell

When moving data in an extraction, transformation, and loading (ETL) process, the most efficient design pattern is to touch only the data you must, copying just the data that was newly added or modified since the last load was run. This pattern of incremental loads usually presents the least amount of risk, takes less time to run, and preserves the.

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Data Governance: Stay Non-Invasive in Your Approach

Alation

The post Data Governance: Stay Non-Invasive in Your Approach appeared first on Alation.

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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.