Sat.Aug 29, 2020 - Fri.Sep 04, 2020

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How CFOs Can Lead With Foresight

Jedox

The depth and breadth of the 2020 crisis caught many unaware. It thrust the Chief Financial Officer (CFO) to the frontline of business survival and saw many setting up cash control towers with granular oversight over cash flow, receivables, and payables to navigate disruptions. The new normal introduced new risks from employee health and safety, supply chain stress and government mandates – all with working capital implications.

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The Data Organization Spectrum

TDAN

When trying to build out a data organization, it is important to consider how people will be interacting with data. Will many people have access to the data or only a few? How will this affect the way that workers answer questions with the data? How will it affect the way data is governed at […].

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Integrating Python in Power BI: Get the best of both worlds

Analytics Vidhya

Overview A demonstration of statistical analytics by Integrating Python within Power BI Share the findings using dashboards and reports Introduction Power BI is. The post Integrating Python in Power BI: Get the best of both worlds appeared first on Analytics Vidhya.

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Create an Awesome Development Setup for Data Science using Atom

MLWhiz

Before I even begin this article, let me just say that I love iPython Notebooks, and Atom is not an alternative to Jupyter in any way. Notebooks provide me an interface where I have to think of “Coding one code block at a time,” as I like to call it, and it helps me to think more clearly while helping me make my code more modular. Yet, Jupyter is not suitable for some tasks in its present form.

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Beyond the Basics of A/B Tests: Innovative Experimentation Tactics You Need to Know as a Data or Product Professional

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

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Integrating Data Governance and Enterprise Architecture

erwin

Aligning these practices for regulatory compliance and other benefits. Why should you integrate data governance (DG) and enterprise architecture (EA)? It’s time to think about EA beyond IT. Two of the biggest challenges in creating a successful enterprise architecture initiative are: collecting accurate information on application ecosystems and maintaining the information as application ecosystems change.

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How Big Data has Redefined the Legal Industry

Smart Data Collective

Rooted in Greek civilization, law is one of the world’s oldest professions, and for all these years, particularly in America, has been steadfast in its commitment to justice for all, and as a way to change things for the better. American lawyer Clarence Darrow, once said, “Justice has nothing to do with what goes on in a courtroom; Justice is what comes out of a courtroom.”.

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10 Open Source and Free Data Visualization Tools You Can’t-Miss

FineReport

Free data visualization tools are professional in different categories: dashboard, chart, maps, network, and so on. Today, let’s review the top free data visualization tools on the market. What are the Benefits of Using Free Data Visualization Tools? The most significant advantage is free, and open-source data visualization tools can help you control your budget.

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The Gamification of Data Governance

TDAN

Getting the business engaged with data governance can sometimes be a challenge. Any sort of driver to make that a more organic experience for your organization will be an asset. At NAIT (the Northern Alberta Institute of Technology), we have put together a process to visually identify and connect our reports to Data Governance. The […].

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3 Reasons To Use Data Analytics To Pursue Long Tail Keywords

Smart Data Collective

Data analytics is becoming a critical component of modern SEO. We have previously identified the benefits of big data in SEO strategies. However, we thought it was time to talk about a more specific application of data analytics in SEO. Data analytics can be extremely useful for finding long-tail keywords for search engine marketing. Whether you intend to use data analytics for paid or organic search marketing, data analytics can help you find keywords that have the least competition and highest

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Basic Concepts of Object-Oriented Programming in Python

Analytics Vidhya

Introduction While learning Object-Oriented Programming. I decided to dive into its history and it turned out to be fascinating. The term “Object-Oriented Programming” (OOP). The post Basic Concepts of Object-Oriented Programming in Python appeared first on Analytics Vidhya.

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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.

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Dimensionality Reduction: How It Works (In Plain English!)

Dataiku

In the previous three posts in the How They Work (In Plain English!) series, we went through a high-level overview of machine learning and took a deep dive into two key categories of supervised learning algorithms — linear and tree-based models — and the most popular unsupervised learning technique, clustering. Today, we’ll dive into a second key unsupervised learning technique — dimensionality reduction.

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The Data-Centric Revolution: Data-Centric vs. Centralization

TDAN

We just finished a conversation with a client who was justifiably proud of having centralized what had previously been a very decentralized business function (in this case, it was HR, but it could have been any of a number of functions). They had seemingly achieved many of the benefits of becoming data-centric through decentralization: all […].

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Productivity Vs. Privacy: What Data Do Businesses Gather From Remote Staff?

Smart Data Collective

Since businesses made the shift to remote work at the start of the pandemic, they’ve faced a lot of unexpected questions and circumstances and solved a lot of problems on the fly. It’s been hard, but overall, they’ve done a remarkable job. There’s one area, however, where businesses have largely floundered: remote monitoring. Remote monitoring includes a wide range of functions, from offsite data collection to key tracking tools and even video-based monitoring, and though some of these tools are

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9 Key Skills Every Business Analytics Professional Should Have

Analytics Vidhya

Introduction What’s the most important skill you need to succeed in the analytics domain? I’ve seen this question floating around everywhere – our discussion. The post 9 Key Skills Every Business Analytics Professional Should Have appeared first on Analytics Vidhya.

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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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Recommendation Engines 101

Dataiku

Recommendation engines are everywhere today, whether explicitly offered to users (e.g., Amazon or Netflix, the classic examples) or working behind the scenes to choose which content to surface without giving the user a choice. And while building a simple recommendation engine can be quite straightforward, the real challenge is to actually build one that works and where the business sees real uplift and value from its output.

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Announcing Free Week Redux

DataCamp

All of DataCamp is completely free to everyone—again. Because we believe that everyone deserves the chance to become data literate safely at home.

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Real Estate and Big Data: A Match Made in Heaven?

Smart Data Collective

It’s easy to draw correlations between big data and certain areas of the business world. For example, it makes sense that a tech company would leverage big data, or that a software company would use it to develop a cutting edge SaaS offering. But in real estate, does big data really have a place at the table? Those inside the industry would say yes – and resoundingly so!

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Indexing and Selecting Data in Python – How to slice, dice for Pandas Series and DataFrame

Analytics Vidhya

Introduction The Python and NumPy indexing operators [] and attribute operator ‘.’ (dot) provide quick and easy access to pandas data structures across a. The post Indexing and Selecting Data in Python – How to slice, dice for Pandas Series and DataFrame appeared first on Analytics Vidhya.

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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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Move From Insight To Impact: Data Strategy & Insights 2020

Srividya Sridharan

The digital future is here. And data, analytics, and AI are going to drive this future. These capabilities are becoming more crucial to stay ahead of uncertainty and change and get smarter about every aspect of your business: your customers, your suppliers and partners, your competitors, your employees, your processes, your operations, and your markets.

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Voice Banking and Information Governance

TDAN

Voice, messaging and artificial intelligence are helping transform customer engagement, particularly in financial services. But just how secure is the voice channel and how safe is the information passing through it? Tech companies and financial institutions are working carefully to implement artificial intelligence and interactive voice banking technologies to change both the personal involvement and […].

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Move Over Tiger Woods: Big Data Helps Discover The Perfect Golf Swing

Smart Data Collective

Many years ago, Tiger Woods said “The More I Practice, the luckier I get!” While the general sentiment behind his statement is understandable, it has been shown that more informed golfers benefit the most from practicing. Advances in data analytics have offered tremendous benefits to astute golfers and other athletes. Within the next five years, the global market for sports analytics is expected to reach $4.3 billion.

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A Simple Introduction to Sequence to Sequence Models

Analytics Vidhya

Overview In this article, I would give you an overview of sequence to sequence models which became quite popular for different tasks like machine. The post A Simple Introduction to Sequence to Sequence Models appeared first on Analytics Vidhya.

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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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Analyst, Scientist, or Specialist? Choosing Your Data Job Title

Sisense

Blog. In The Future of Work , we explore how companies are transforming to stay competitive as global collaboration becomes vital. We live in a constantly-evolving world of data. That means that jobs in data big data and data analytics abound. The wide variety of data titles can be dizzying and confusing! The good news is that if you are passionate about data and have the skills to back it up, you can probably find a challenging, rewarding role.

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Finding the ‘good’ in 2020 and beyond

Cloudera

I think we can all agree that it would be nice to have some good news in 2020, which is why the Data for Good category in this year’s Cloudera Impact Awards is such a pertinent one. The awards program is an annual corporate competition celebrating game-changing data-implementation projects. The Data for Good category recognizes organizations that have tackled some of the most challenging issues affecting society and the planet, making what was impossible in the past, possible today.

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Growing Importance Of Predictive Analytics For Recovery Point Objectives

Smart Data Collective

Predictive analytics is revolutionizing the future of cybersecurity. A growing number of digital security experts are using predictive analytics algorithms to improve their risk scoring models. The features of predictive analytics are becoming more important as online security risks worsen. As TechCrunch pointed out in one article , the classification of cybercriminals is no longer limited to individuals using old school scripts.

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The 8 Largest Data Centers in the World in 2020

Analytics Vidhya

Overview: Data generation has skyrocketed these past few years – giving rise to the concept of data centers Here’s a list of the 8. The post The 8 Largest Data Centers in the World in 2020 appeared first on Analytics Vidhya.

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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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How to Design and Choose Reporting Platform?

FineReport

For most companies, using Excel to create reports is the most common reporting solution. However, with the growing amount of data from many sources, the pain points of using Excel are more and more apparent. For example, data collection is time-consuming, and the data from scattered business systems can not be integrated. In this situation, design and build a reporting platform to manage data and reports unified is the priority to the IT department.

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Streaming Analytics in the Real World

Cloudera

From leading banks, and insurance organizations to some of the largest telcos, manufacturers, retailers, healthcare and pharma, organizations across diverse verticals lead the way with real-time data and streaming analytics. These businesses use data-fueled insights to enhance the customer experience, reduce costs, and increase revenues. And Cloudera is at the heart of enabling these real-time data driven transformations. .

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Understanding The Ideal Data-Driven Model For Fitness App Monetization

Smart Data Collective

Big data is the lifeblood of modern app development. App developers should also use data analytics to maximize their monetization opportunities. A growing number of developers have found that the number of app monetization opportunities has grown considerably in recent years. They are embracing new big data initiatives to find the best opportunities.

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Basic Concepts of Object-Oriented Programming in Python

Analytics Vidhya

Introduction While learning Object-Oriented Programming. I decided to dive into its history and it turned out to be fascinating. The term “Object-Oriented Programming” (OOP). The post Basic Concepts of Object-Oriented Programming in Python appeared first on Analytics Vidhya.

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Reimagined: Building Products with Generative AI

“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.