Sat.Jun 27, 2020 - Fri.Jul 03, 2020

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Determining ROI in Uncertain Times

Jet Global

As the enormity of the coronavirus crisis became clear, businesses throughout the world began immediately to preserve cash and cut expenses. Although an influx of funding from the Paycheck Protection Program (PPP) and similar programs has helped significantly, most businesses remain understandably cautious about making new investments. As McKinsey and Company pointed out , however, highly resilient businesses tend to be early to invest in recovery.

ROI 59
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8 SQL Techniques to Perform Data Analysis for Analytics and Data Science

Analytics Vidhya

Overview SQL is a must-know language for anyone in analytics or data science Here are 8 nifty SQL techniques for data analysis that ever. The post 8 SQL Techniques to Perform Data Analysis for Analytics and Data Science appeared first on Analytics Vidhya.

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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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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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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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22 Widely Used Data Science and Machine Learning Tools in 2020

Analytics Vidhya

Overview There are a plethora of data science tools out there – which one should you pick up? Here’s a list of over 20. The post 22 Widely Used Data Science and Machine Learning Tools in 2020 appeared first on Analytics Vidhya.

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How to Convince Stakeholders That Data Governance is Necessary

TDAN

You may already have a formal Data Governance program in place. Then again, perhaps you don’t. Or … you are presently going through the process of trying to convince your Senior Leadership or stakeholders that a formal Data Governance program is necessary. Maybe you are going through the process of convincing the stakeholders that Data […].

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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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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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How to Easily Record a Remote Video Interview

Timo Elliott

I’ve been interviewing customers recently on how digital technologies have helped their organizations be resilient in the current environment. Here’s a short recap of what I’ve so far found works best for non-professionals like myself who still want to be able to put together a polished, edited result. Arrange a Zoom call. There are alternatives, but Zoom seems to have the best quality, for now.

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Usage of Programming Languages by Data Scientists: Python Grows while R Weakens

Business Over Broadway

The practice of data science, including work in machine learning and artificial intelligence, requires the use of analytics tools, technologies and programming languages. A recent survey of nearly 20,000 data professionals by Kaggle revealed that Python, SQL and R continue to be the most popular programming languages. The most popular, by far, was Python (87% used).

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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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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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4 Simple Ways to Split a Decision Tree in Machine Learning

Analytics Vidhya

Overview How do you split a decision tree? What are the different splitting criteria when working with decision trees? Learn all about decision tree. The post 4 Simple Ways to Split a Decision Tree in Machine Learning appeared first on Analytics Vidhya.

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Rikke Jacobsen: Helping Danish companies build solid analytics foundations and prepare for change

IBM Big Data Hub

Follow @IBMAnalytics. This story is part of Analytics Heroes, a series of profiles on leaders transforming the future of business analytics.

Analytics 132
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The importance of structure, coding style, and refactoring in notebooks

Domino Data Lab

Notebooks are increasingly crucial in the data scientist’s toolbox. Although considered relatively new, their history traces back to systems like Mathematica and MATLAB. This form of interactive workflow was introduced to assist data scientists in documenting their work, facilitating reproducibility, and prompting collaboration with their team members.

Testing 116
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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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Is Yann LeCun the New Marie Curie?

Dataiku

Deep learning has met increasing hype in the last few years, and with lots of practical success. But does that necessarily indicate an exponential growth in AI over the next few years? A Parallel History.

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Hands-on NLP Project: A Comprehensive Guide to Information Extraction using Python

Analytics Vidhya

Overview Information extraction is a powerful NLP concept that will enable you to parse through any piece of text Learn how to perform information. The post Hands-on NLP Project: A Comprehensive Guide to Information Extraction using Python appeared first on Analytics Vidhya.

Analytics 398
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Jumpstart your journey to AI expertise: recap of Data and AI Virtual Forum talent sessions on demand

IBM Big Data Hub

Follow @IBMAnalytics. Talent: It’s a key issue impacting today's AI-hungry organizations. While AI skills are in high demand, organizations admit they’re hard to come by. In fact, the lack of talent scarcity has been called out as one of the top three hurdles to AI adoption, after data complexity, and a lack of trust in AI systems.

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Accelerating Digital And Data Transformation In A Remote-Work World

Bruno Aziza

Leading companies are undertaking a wholesale transformation to enable remote work leveraging digital capabilities and data.

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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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Announcing Vantage Trial

Teradata

Vantage Trial provides free, 30-day access to Teradata Vantage in the cloud along with easy-to-use, web-based tools and applications for performing advanced analytics. Learn more.

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Real-World Machine Learning Case Study: Clustering Transactions Based on Text Descriptions

Analytics Vidhya

Introduction We are living in the era of digital technologies. When was the last time you walked into a shop that didn’t have a. The post Real-World Machine Learning Case Study: Clustering Transactions Based on Text Descriptions appeared first on Analytics Vidhya.

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Connecting Your ERP to Excel: Why and How

Jet Global

The built-in reports that come with most ERP software packages are notoriously deficient from the standpoint of finance and accounting professionals. They often lack the key information that decision-makers need. Native reporting tools are difficult to use, require specialized expertise, and are often inaccessible to front-line finance and accounting personnel.

Finance 98
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Moving Data to an On-Prem Database with Skyvia

Sisense

Many modern businesses choose cloud warehouse services like Google BigQuery or Amazon Redshift to consolidate their data storage and analysis. These services offer the ability to store huge data volumes and process them quickly with massive parallel processing. However, some companies still prefer on-premise databases, not wanting to share their data to more cloud services than necessary.

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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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Identifying the Infodemic Amidst the COVID-19 Pandemic

Teradata

Fighting the pandemic means fighting the misinformation that comes along with it. That's why one of our Global COVID-19 Hackathon teams created a tool to help identify fake news.

IT 98
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Hugging Face Releases New NLP ‘Tokenizers’ Library Version (v0.8.0)

Analytics Vidhya

Hugging Face is at the forefront of a lot of updates in the NLP space. They have released one groundbreaking NLP library after another. The post Hugging Face Releases New NLP ‘Tokenizers’ Library Version (v0.8.0) appeared first on Analytics Vidhya.

Analytics 374
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PODCAST: COVID19 | Redefining Digital Enterprises – Episode 9: The Impact of COVID-19 on Consumer Technology & Durables

bridgei2i

PODCAST: COVID 19 | Redefining Digital Enterprises. Episode 9: The Impact of COVID-19 on Consumer Technology & Durables. Listening time: 12 minutes. The Impact of COVID-19 on Consumer Technology & Durables. In episode 9 of the AI to Impact Podcast, Suvodip Chatterjee – Director of Consumer Tech & Durables, BRIDGEi2i talks at large about how COVID-19 has brought unprecedented changes to the consumer durables industry.

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Three Takeaways from the User Experience (UX) Field to Up Your Data Viz Game

Depict Data Studio

This article–and four video lessons!–come from Brenna Butler, who researched user experience as part of her doctoral program. Thanks for your contributions to our field, Brenna! –Ann. Hi all, Brenna Butler here to walk you through what the field of User Experience (UX) is all about and how it relates to our data visualizations. Maybe you’ve heard of UX here and there over the years and read a few articles about the field, or maybe you’ve only heard of it for the first time when

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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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How Can Financial Analytics Provide a Springboard to Insight?

Jet Global

New research shows that only 14% of analytic effort is insightful. 54% of businesses rely on cyclical reporting from their ERP systems, with very few CFO’s able to go the extra mile. Ever changing environments prove the need for more agile reporting. This begs the questions: Why are so few companies able to deliver insightful analytics? How can CFOs better prepare to answer any financial question thrown their way?

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Python Style Guide | How to Write Neat and Impressive Python Code

Analytics Vidhya

Overview The Python Style Guide will enable you to write neat and beautiful Python code Learn the different Python conventions and other nuances of. The post Python Style Guide | How to Write Neat and Impressive Python Code appeared first on Analytics Vidhya.

Analytics 378
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Mobile Dashboard: A Complete Design Guide

FineReport

The mobile dashboard allows you to monitor the real-time business performance, check what is going on, query the business data anytime and anywhere. However, mobile dashboards are designed differently from regular dashboards because they need to fit on a small screen adaptively. This article will use the app design idea to help you design an attractive mobile dashboard for your managers.

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How Do Gradient Boosting Algorithms Handle Categorical Variables?

Dataiku

Previously , we investigated the differences between versions of the gradient boosting algorithm regarding tree-building strategies. We’ll now have a closer look at the way categorical variables are handled by LightGBM [ 2 ] and CatBoost [ 3 ].

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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.