Sat.Oct 17, 2020 - Fri.Oct 23, 2020

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10 Questions Every Data Science Beginner Asks (with Answers and Resources)

Analytics Vidhya

Overview Data science beginners tend to ask some common questions about their career and learning path Here are 10 such questions with comprehensive answers. The post 10 Questions Every Data Science Beginner Asks (with Answers and Resources) appeared first on Analytics Vidhya.

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Our Favorite Questions

O'Reilly on Data

“ On peut interroger n’importe qui, dans n’importe quel état; ce sont rarement les réponses qui apportent la vérité, mais l’enchaînement des questions. “ “ You can interrogate anyone, no matter what their state of being. It’s rarely their answers that unveil the truth, but the sequence of questions that you have to ask. “ – Inspector Pastor in La Fée Carabine, by Daniel Pennac.

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Forrester Report: Choosing the right CX solution for your business - Partnered content with Zendesk

Corinium

Evaluating new customer service technologies can be overwhelming. With new platforms, deployment methods, and rising customer expectations, the customer service tech ecosystem has grown more and more complex. In this report from Forrester, you’ll read about new ideas and best practices when it comes to finding the right customer service solution for your business.

Reporting 195
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Doing Power BI the Right Way: 7. Validating data model results – Part 2

Paul Turley

Moving important business data into a data model for analytic reporting can often be a two-edge sword. Data retrieval is fast and can support all kinds of analytic trending and comparisons. But, data in the model may be one or two layers away from the original source data, making it more challenging to compare with familiar user reports. Often the first validation effort after transforming and loading data into the model and then visualizing the initial results is having a business user say " ye

Modeling 143
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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

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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SQL vs NoSQL Databases – A Key Concept Every Data Engineer Should Know

Analytics Vidhya

Overview Understand what SQL and NoSQL databases are. Go through the prominent difference between SQL and No SQL Databases. This is not an exhaustive. The post SQL vs NoSQL Databases – A Key Concept Every Data Engineer Should Know appeared first on Analytics Vidhya.

Analytics 380
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Is Climbing the Corporate Ladder Still a Thing?

erwin

Thoughts on erwin Insights Day No. 2 Keynote. If you didn’t watch New York Times Best-Selling Author Keith Ferrazzi’s keynote from erwin Insights 2020 , what are you waiting for? I was blown away by Keith’s perspective on “Leading Without Authority” and it got me thinking about my own career, our employees here at erwin, work as we knew it, and work as we’ll know it in a post-COVID world.

IT 140

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Predictions 2021: The Time Is Now For AI To Shine

Srividya Sridharan

In 2021, business and IT leaders will be forced to tackle some long-lingering AI challenges head on to successfully emerge from the pandemic. Read Forrester's AI predictions to learn more.

IT 127
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8 Things you Absolutely Should Know Before Starting your Data Science Career

Analytics Vidhya

Overview Making a successful transition into data science is a tricky prospect Here are 8 things you must know about building your data science. The post 8 Things you Absolutely Should Know Before Starting your Data Science Career appeared first on Analytics Vidhya.

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Dataiku (Virtual!) Partner Day 2020: Recap and Awards

Dataiku

Dataiku Partner Day is a yearly opportunity to connect with our dedicated partner ecosystem across the globe, share our company strategy, and provide updates on the product roadmap. Partner Day brings together a variety of Dataiku services partners such as system integrators (SIs), consultants, advisory partners, and value-added resellers. With over 130 active partners, the Dataiku partner ecosystem is continuously growing and Partner Day is a valuable opportunity to keep our partner community e

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4 Data Analytics Tools That Will Revolutionize Marketing In 2021

Smart Data Collective

Data analytics is at the forefront of the modern marketing movement. Companies need to use big data technology to effectively identify their target audience and reliably reach them. Every business needs a go-to-market strategy or the GTM strategy to reach the target customers and stay ahead of their competitors. Big data should be leveraged to execute any GTM campaign.

Marketing 106
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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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Streamline Data Warehouse Automation with the New Business Central Adapter by Jet Analytics

Jet Global

For customers upgrading from Microsoft Dynamics GP or Microsoft Dynamics NAV, Business Central provides an efficient cloud-based ERP platform for growth. As companies consider making the transition to this new platform, however, it’s important that they have a clear vision for reporting and analytics and that they understand how to get the most from their Microsoft Dynamics 365 Business Central (D365 BC) data.

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What are the differences between Data Lake and Data Warehouse?

Analytics Vidhya

Overview Understand the meaning of data lake and data warehouse We will see what are the key differences between Data Warehouse and Data Lake. The post What are the differences between Data Lake and Data Warehouse? appeared first on Analytics Vidhya.

Data Lake 323
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Sirius Breaks Top 50 on MSSP Alert’s Top 250 MSSPs List for 2020

CDW Research Hub

Sirius was recently named No. 44 on MSSP Alert’s list of the world’s Top 250 managed security service providers (MSSPs) for 2020. In Sirius’ first year participating in the MSSP Alert program, the company was recognized as a top 20% MSSP provider, further exemplifying how its proactive management solutions and services help enterprises mitigate security risks while improving overall operational efficiency and performance.

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Freelancers Use Big Data To Streamline Cryptocurrency

Smart Data Collective

Big data is changing the nature of cryptocurrency trading in unanticipated ways. A number of cryptocurrency experts have discovered new ways to use big data to improve the scalability of their networks. Freelancers and other small businesses need to find creative ways to embrace big data. They should look for data-driven strategies to invest in cryptocurrencies.

Big Data 103
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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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Agile Financial Reporting for Real Estate: A Quick Guide to Reshaping Future Growth

Jet Global

2020 has brought on a myriad of challenges for businesses across every industry, and real estate is no exception. Demand has shifted dramatically, sometimes upward and sometimes down. For certain industries, sales are booming. For others, the disruption has resulted in a slowdown that could last for years. In every case, though, agility is a recurring theme.

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Generate Background Blur using Deep Learning in Python with this Simple Tutorial

Analytics Vidhya

Overview Get to know the deep learning model we will use and ReLu6 Understand how to get blur background using deep learning Introduction The. The post Generate Background Blur using Deep Learning in Python with this Simple Tutorial appeared first on Analytics Vidhya.

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#ClouderaLife Spotlight: Otho Lyon, Director of Support, Public Sector 

Cloudera

There are some people who will tell you, “you can do anything you want to do in life”, and then there are some people who can show you that’s true. Otho Lyon – Director of Support, Public Sector – is one of those people. . For over four years, Otho has been Cloudera’s Director of Support – Public Sector. He leads the charge in the support strategy and execution of our most sensitive and secure government agency clients.

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5 Vital And Helpful Data-Driven Tips To Bolster Cybersecurity

Smart Data Collective

Big data is changing the future of cybersecurity in unanticipated ways. One poll found that 84% of companies felt that big data was critical for preventing cybersecurity attacks. Every organization needs to take all possible precautions to stop cyberattacks. They need to invest in data-driven strategies to stop malware distribution and other online attacks.

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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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Meet the Dataiku Neurons

Dataiku

Since we released the Dataiku Community earlier this year, a few members have been pivotal in helping us grow and foster knowledge-sharing with fellow Dataiku DSS users. We’re excited to recognize them today through the launch of a dedicated ambassador program: the Dataiku Neurons !

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The Mathematics Behind Support Vector Machine Algorithm (SVM)

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction One of the classifiers that we come across while learning about. The post The Mathematics Behind Support Vector Machine Algorithm (SVM) appeared first on Analytics Vidhya.

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TIBCO’s Acquisition Of Information Builders Signals More BI Market Consolidation

Boris Evelson

The business intelligence (BI) vendor consolidation trend that started earlier in 2019 continues. Today, TIBCO announced its intent to acquire Information Builders, Inc. (IBI) — one of the oldest players in the market. Want to get the real sense of how far back IBI goes? It was one of the first vendors to offer reporting and analytics on mainframes!

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Here’s Why Free VPNs Are A Data Privacy Nightmare

Smart Data Collective

This summer, a major report on data breaches was released. This report was more concerning than most other reports on data breaches, because it turned out that several free VPN providers had been the target. According to the Sydney Morning Herald, more than 20 million users were affected by the data breach and over 1 billion records were exposed. This was one of the most concerning data breaches in modern history.

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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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Re-thinking The Insurance Industry In Real-Time To Cope With Pandemic-scale Disruption

Cloudera

The Insurance industry is in uncharted waters and COVID-19 has taken us where no algorithm has gone before. Today’s models, norms, and averages are being re-written on the fly, with insurers forced to cope with the inevitable conflict between old standards and the new normal. . Take the restaurants of New York City suing their insurers for hundreds of millions of dollars.

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Introduction to the Hadoop Ecosystem for Big Data and Data Engineering

Analytics Vidhya

Overview Hadoop is among the most popular tools in the data engineering and Big Data space Here’s an introduction to everything you need to. The post Introduction to the Hadoop Ecosystem for Big Data and Data Engineering appeared first on Analytics Vidhya.

Big Data 273
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The New Normal for FP&A: Data Analytics

Jedox

The term “data analytics” refers to the process of examining datasets to draw conclusions about the information they contain. Data analysis techniques enhance the ability to take raw data and uncover patterns to extract valuable insights from it. Data analytics is the critical first step to take as we acquire data, convert that data into insights, transform those insights into knowledge and lever that knowledge to assist the organization to make those better, faster, smarter business decisions t

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Data Analytics Is Critical For Preventing Investing Mistakes

Smart Data Collective

Data analytics is the backbone of modern investing. Stock, bond, crypto and other investors have discovered the powerful advantages of data-driven analysis. We have talked about the benefits of big data in investing before. We felt it was time to delve into the topic in more depth. How Can You Use Big Data to Make Better Investing Decisions? Big data is changing the nature of investing in fundamental ways.

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Driving Business Impact for PMs

Speaker: Jon Harmer, Product Manager for Google Cloud

Move from feature factory to customer outcomes and drive impact in your business! This session will provide you with a comprehensive set of tools to help you develop impactful products by shifting from output-based thinking to outcome-based thinking. You will deepen your understanding of your customers and their needs as well as identifying and de-risking the different kinds of hypotheses built into your roadmap.

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Everything is Big Data

TDAN

The term “big data” has been bandied about for a number of years now, and it has gotten to the point where it has been used so much that it is a part of IT culture. It’s hard to specifically define, yet everyone seems to have a good idea what is meant by it; big […].

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Data Science Blogathon Winners are Here and Announcing Blogathon 2!

Analytics Vidhya

The Data Science Blogathon is Over! Long Live the Data Science Blogathon II! Take a deep breath. The first Data Science Blogathon was an. The post Data Science Blogathon Winners are Here and Announcing Blogathon 2! appeared first on Analytics Vidhya.

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Best Practices for an AI Center of Excellence (CoE)

Dataiku

Facilitating the conception and operationalization of AI projects across the enterprise is a test, first in foremost, in orchestration. Sure, having the right technology helps, but even the right tools can’t enable people at all levels to use data and execute AI projects on a day-to-day basis without some serious organizational change management and process oversight.

Testing 66
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4 Data-Driven Approaches To Bolster Email Deliverability

Smart Data Collective

The concept of email marketing predates the big data phenomenon by at least 20 years. However, data-driven insights have clearly played a profound role in the future of email marketing. Companies need to find new ways to use big data to embrace new email strategies. One of the most important things that they should do is find data-driven approaches to enhance email deliverability.

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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.