April, 2020

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Utilize The Potential Of Digital Dashboards In A Business Environment

datapine

“Without big data analytics, companies are blind and deaf, wandering out onto the web like deer on a freeway.” – Geoffrey Moore. We live in the age of information. And, as a business, if you use your data wisely, you stand to reap great rewards. Data brings a wealth of invaluable insights that could significantly boost the growth and evolution of your business.

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10+ Simple Yet Powerful Excel Tricks for Data Analysis

Analytics Vidhya

Overview Microsoft Excel is one of the most widely used tools for data analysis Learn the essential Excel functions used to analyze data for. The post 10+ Simple Yet Powerful Excel Tricks for Data Analysis appeared first on Analytics Vidhya.

Analytics 390
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Corinium Meets: Digio CDO and Data Protection Officer Rafael Coronel

Corinium

Dr Rafael Coronel, CDO and Data Protection Officer at financial services platform Digio, talks to us about steering the company through the Covid-19 pandemic, CX innovation and the future of digital banking. What role does data and analytics play in Digio’s broader business strategy? What makes your approach different to that of more traditional banks?

Strategy 221
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How data privacy leader Apple found itself in a data ethics catastrophe

O'Reilly on Data

Three months ago, Apple released a new credit card in partnership with Goldman Sachs that aimed to disrupt the highly regulated world of consumer finance. However, a well-known software developer tweeted that he was given 20x the credit line offered to his wife, despite the fact that they have been filing joint tax returns and live in a community property state.

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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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You Can’t Plan on AI and ML

David Menninger's Analyst Perspectives

Artificial intelligence (AI) and machine learning (ML) are all the rage right now. Our Machine Learning Dynamic Insights research shows that organizations are using these techniques to achieve a competitive advantage and improve both customer experiences and their bottom line. One type of analysis an organization can perform using AI and ML is predictive analytics.

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An Introduction to Key Data Science Concepts

Dataiku

Here at Dataiku, we frequently stress the importance of collaboration in building a successful data team. In short, successful data science and analytics are just as much about creativity as they are about crunching numbers, and creativity flourishes in a collaborative environment.

More Trending

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7 Python Hacks, Tips and Tricks for Data Science Projects

Analytics Vidhya

Overview Python is a superb language for data science but not everyone is a Python expert Here, we present 7 Python hacks that’ll help. The post 7 Python Hacks, Tips and Tricks for Data Science Projects appeared first on Analytics Vidhya.

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Data Conversations Over Coffee with Matthew Bernath

Corinium

Data & Coffee - Two Things That Demand The Highest Quality.

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5 Artificial Intelligence Trends Changing The eCommerce Industry

Smart Data Collective

Artificial Intelligence (AI) is changing the way that eCommerce companies do business. AI is being implemented in systems across the eCommerce sector. From generating leads to gathering information, AI has improved multiple facets of the industry. Algorithmic bots have revolutionized customer facing services. Automated systems are the driving force behind improvements in back-end eCommerce software. eCommerce AI is a data-driven trend that allows companies to manage and analyze consumer informat

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The Best Time to Get An Enterprise Architecture Tool

erwin

Many organizations start an enterprise architecture practice without a specialized enterprise architecture tool. Instead, they rely on a blend of spreadsheets, Visio diagrams, PowerPoint files and the like. Under normal circumstances, this approach is difficult. In times of rapid change or crisis, it isn’t viable. Four Compelling Reasons for An Enterprise Architecture Tool.

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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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Which Technology Should I Learn?

DataCamp

Discover whether you should learn a data science and analytics language, such as Python or R; SQL; spreadsheets; or a business intelligence tool.

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Your Definitive Guide To KPI Tracking By Utilizing Modern Software & Tools

datapine

In the modern age, brands and businesses that benchmark their activities stand to gain an all-important edge on the competition. Whatever your niche or industry, working with dynamic key performance indicators (KPIs) will empower you to track and improve your performance in a number of key areas, accelerating your commercial success in the process. Without data, you will only ever be ‘shooting in the dark’ when it comes to formulating strategies and making informed decisions.

KPI 195
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A Comprehensive Guide to 21 Popular Deep Learning Interview Questions and Answers

Analytics Vidhya

Overview Looking to crack your next deep learning interview? You’ve come to the right place! We have put together a list of popular deep. The post A Comprehensive Guide to 21 Popular Deep Learning Interview Questions and Answers appeared first on Analytics Vidhya.

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Using Small Datasets to Build Models

DataRobot

The world is going through extremely turbulent times. With the ongoing disruption of our lives, communities, and businesses from the COVID-19 pandemic, predictions from existing machine learning models trained prior to the pandemic become less reliable. There is plenty of historical data, but historical examples from before the pandemic may not provide the relevant examples needed to train a model that is useful today.

Modeling 124
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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.

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The Growing Importance Of Data Collection For Customer Service

Smart Data Collective

Big data is crucial for any organization that wants to attract and retain customers. A study by McKinsey Global Institute found that data-driven companies are 400% more likely to retain customers and 2,200% more likely to acquire new ones. Back in 2011, my colleagues and I first started discussing the evolving standards of customer service in business.

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Data Governance for Smart Data Distancing

erwin

Hello from my home office! I hope you and your family are staying safe, practicing social distancing, and of course, washing your hands. These are indeed strange days. During this coronavirus emergency, we are all being deluged by data from politicians, government agencies, news outlets, social media and websites, including valid facts but also opinions and rumors.

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When Time Really Matters: One Physician's Journey to Leveraging Data Science for Better Outcomes

Dataiku

While medicine and treatment options for patients are constantly evolving and improving, the healthcare field as a whole grapples with seamlessly incorporating data science, machine learning, and AI into their workflows. By making AI accessible to a wider audience and equipping medical professionals with the technology and processes that ensure AI efforts are collaborative, transparent, and explainable, there is significant potential to decrease costs and improve patient outcomes.

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Brandon Rohrer – How Deep Neural Networks Work

Data Science 101

Brandon Rohrer is an expert in neural networks and deep learning. Plus, he makes really excellent videos about the topic. His entire YouTube Channel is worth viewing. How Deep Neural Networks Work by Brandon Rohrer. The post Brandon Rohrer – How Deep Neural Networks Work appeared first on Data Science 101.

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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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Everything you Should Know about Confusion Matrix for Machine Learning

Analytics Vidhya

Confusion Matrix – Not So Confusing! Have you been in a situation where you expected your machine learning model to perform really well but. The post Everything you Should Know about Confusion Matrix for Machine Learning appeared first on Analytics Vidhya.

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PODCAST: COVID19 | Redefining Digital Enterprises – Episode 1: COVID-19 & The New Normal at Workplaces

bridgei2i

PODCAST: COVID 19 | Redefining Digital Enterprises. Episode 1: COVID 19 & The New Normal at Workplaces. Listening time: 13 minutes. COVID 19 & The New Normal at Workplaces. In the first episode of this series, Listen to Dhritiman Chakrabarti (DC) – an expert in HR Advisory and global consulting, talk about the implications of COVID-19 and the far-reaching effects it will have on the world, both people and enterprises.

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New DoE Program Drives Demand For Machine Learning Programmers

Smart Data Collective

Machine learning is leading to numerous changes in the energy industry. The Department of Energy recently announced that it is taking steps to accelerate the integration of machine learning technology in energy research and development. The head of the Department of Energy announced that they will be investing $30 million in artificial intelligence and machine learning algorithms.

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Data Intelligence for Disaster Planning and Business Continuity in the Face COVID-19 or Other Crises

erwin

COVID-19 has presented businesses with a new and immediate set of challenges that reinforce the need for data intelligence to inform disaster planning and business continuity. The coronavirus epidemic and its impacts are sharp and severe. And while its duration is uncertain, it is likely to permanently change the way businesses and societies function.

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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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What's New in NLP: Transformers, BERT, and New Use Cases

Dataiku

The last couple of years have been anything but boring in the field of natural language processing , or NLP. With landmark breakthroughs in NLP architecture such as the attention mechanisms , a new generation of NLP models — the so-called Transformers — has been born (no, not the Michael Bay kind).

Modeling 119
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Teradata Supports China’s Fight Against COVID-19

Teradata

By fully utilizing the data for telco operators in China, Teradata helped communities battle the COVID-19 epidemic through ongoing public health communication, travel updates and inquiries.

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5 Amazing Google Colab Hacks You Should Try Today!

Analytics Vidhya

Introduction Google Colab is an amazing gift to the data science community from the fine folks at Google. Colab gives us the ability to. The post 5 Amazing Google Colab Hacks You Should Try Today! appeared first on Analytics Vidhya.

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Using Business Intelligence to Uncover the Past in Ancient Egypt

Paul Blogs on BI

I have always been a huge fan of Ancient Egypt and the inside of my house has been likened to the Cairo Museum. I had been thinking for a while if there was a way to marry my passion for Ancient Egypt with my passion for Business Intelligence and about two years ago, an opportunity presented itself. I was introduced to Dr. Leslie Warden, an Egyptologist and professor at Roanoke College who specialized in the Old Kingdom and ceramics.

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Monetizing Analytics Features

Think your customers will pay more for data visualizations in your application? Five years ago, they may have. But today, dashboards and visualizations have become table stakes. Turning analytics into a source of revenue means integrating advanced features in unique, hard-to-steal ways. Download this white paper to discover which features will differentiate your application and maximize the ROI of your analytics.

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4 Key Competitive Advantages of Big Data in Business

Smart Data Collective

90% of all data in the world has been generated in the last two years. With that in mind, it’s not surprising that a lot of companies are struggling with structuring and making sense of the data that they have, which causes various organizational issues, as well as limits the potential growth. That’s why big data companies that can help use that data are in such high demand.

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What is Data Lineage? Top 5 Benefits of Data Lineage

erwin

Data lineage is the journey data takes from its creation through its transformations over time. It describes a certain dataset’s origin, movement, characteristics and quality. Tracing the source of data is an arduous task. Many large organizations, in their desire to modernize with technology, have acquired several different systems with various data entry points and transformation rules for data as it moves into and across the organization.

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Basic Statistics Concepts for Data Scientists

Dataiku

Statistics can be tremendously beneficial for data scientists, both those that are new to the field and those who have been practicing for a number of years. In fact, a large portion of data scientists are former statisticians. Statistics, or the practice of using mathematics to analyze, interpret, and present data, allows us to leverage data — a critical element to any impactful machine learning model — in a deeper, more concrete way.

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Now More Than Ever! – The Necessity Of Data, Analytics, And Expertise

Bruno Aziza

Now more than ever, data, analytics and expertise are of existential importance. It is not simply a matter of opinion. It has become a public and societal matter of life and death.

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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.