Sat.Mar 13, 2021 - Fri.Mar 19, 2021

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Women in the workplace: What’s possible now?

Cloudera

In celebration of International Women’s Day, on Wednesday, March 10 women from across Cloudera in America and EMEA came together with an external audience to debate and discuss the state of women. Our transatlantic panel featuring Bianka Racz, Software Engineer; Christine Sherry, Director Critical Incident Response; Dominique Hollins, Director of Culture and Inclusion and Tahmeena Tariq Senior Corporate Counsel, came together to discuss how COVID has changed our expectations of employers, the wo

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Honing Your Data Translator Skills

Dataiku

If you spend a long enough time cleaning and preparing a dataset , chances are you will grow to understand its nuances and behaviors. But once you’ve put in all of that work, how do you communicate the important information to someone who doesn’t have the proper context or the time to familiarize themselves with the nitty gritty details, such as a business stakeholder?

IT 59
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Why Are Generative Adversarial Networks(GANs) So Famous And How Will GANs Be In The Future?

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. What are GENERATIVE ADVERESIAL NETWORKS and what are GANs used. The post Why Are Generative Adversarial Networks(GANs) So Famous And How Will GANs Be In The Future? appeared first on Analytics Vidhya.

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Analytics Insights and Careers at the Speed of Data

Rocket-Powered Data Science

How to make smarter data-driven decisions at scale : [link]. The determination of winners and losers in the data analytics space is a much more dynamic proposition than it ever has been. One CIO said it this way , “If CIOs invested in machine learning three years ago, they would have wasted their money. But if they wait another three years, they will never catch up.

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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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Microsoft Azure: Cloud Computing for Data and Analytics

David Menninger's Analyst Perspectives

Organizations are increasingly using data as a strategic asset, which makes data services critical. Huge volumes of data need to be stored, managed, discovered and analyzed. Cloud computing and storage approaches provide enterprises with various capabilities to store and process their data in third-party data centers. The advent of data platforms previously discussed here are essential for organizations to effectively manage their data assets.

Analytics 218
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12 Rules for Data Storytelling

Juice Analytics

Are you ready to learn how to be a data storyteller, but don’t have enough time to review the many great resources ? Or maybe you don’t have the time to attend a world-class data storytelling workshop ? No problem. Here’s the CliffsNotes version of what it takes to tell stories with data. I’ve condensed down to 12 essential rules/principles, broken into two parts: 1) Thinking like a storyteller; 2) Design principles for data stories.

Metrics 138

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Metadata is Like Packaging: Seeing Beyond the Library Card Metaphor

Ontotext

From messages in a bottle to the pair of gold-anodized aluminum plaques placed on board of spacecraft Pioneer 10 and Pioneer 11 in the 1970s, how we package information is central to its visibility, durability and usefulness across different environments. And in our digital age, th? way we package information has a lot to do with metadata. The somewhat conventional metaphor about metadata is the one of the library card.

Metadata 124
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Understanding Consumer Behavior With Insights From Unilever and Capgemini

Dataiku

We are in the midst of a digital marketing revolution. Consumers are constantly changing: their journeys are more fragmented, their desires are shifting, and their preferences are drifting towards online purchases. Consumers are thus leaving massive digital footprints and organizations need to learn how to take advantage of these footprints to best serve customers in return.

Marketing 105
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A Data Governance Self-Assessment Test

TDAN

The purpose of this article is to provide a model to conduct a self-assessment of your organization’s data environment when preparing to build your Data Governance program. The test will help you to focus on the things that are meaningful to your organization while honestly assessing how well you are addressing your organization’s needs. Take the […].

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Machine Learning with Python- Gaussian Naive Bayes

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction This article assumes that you possess a basic knowledge. The post Machine Learning with Python- Gaussian Naive Bayes appeared first on Analytics Vidhya.

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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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Bizview for Real Estate and Property Management: A Quick Guide

Jet Global

Now more than ever, real-estate businesses must keep a close watch on revenue and liquidity. Significant shifts in the commercial real-estate market, the recent flow of populations toward less densely populated areas, and increased government regulation have led to disruption for the industry on a broad scale. In the midst of all this change, managers must deal with the challenges of fluctuating occupancy rates, tightening credit, and new headwinds that make collections more difficult than ever

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ISG’s Journey With Dataiku: Accelerating Analytic Literacy

Dataiku

The Institut Supérieur de Gestion (ISG) is an incredibly dynamic business school based in Paris, with additional locations throughout France. The institution is part of IONIS Education Group , the leading private higher education group in France and home to more than 22,000 alumni. This story highlights ISG’s nano-certificate strategy, including how the institution worked with Dataiku to develop it and how other higher education institutes might start similar programs to develop students’ data s

Analytics 105
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Data is Risky Business: The Next Normal

TDAN

Taking Stock A year ago, organisations of all sizes around the world were catapulted into a cycle of digital and data transformation that saw many industries achieve in a matter of weeks in what would otherwise have taken many years to achieve. Small businesses pivoted to doing business online in a way that they might […].

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License Plate Character Recognition using kNN and CNN

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction This article focuses on the high paced growing field. The post License Plate Character Recognition using kNN and CNN 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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Achieving Organizational Data Fluency with IPTOP

DataCamp

The blueprint for ramping your organization’s data maturity from data reactive to data scaling, data progressive, and data fluent.

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Rethinking Modeling: Joining Human and Machine Intelligence

Dataiku

Nobody saw COVID-19 coming. No machine learning model, no matter how advanced, predicted a global pandemic and all the impacts it would have. This doesn’t mean that models aren’t useful, but it does mean that we should be thinking about new ways of modeling. This blog post will explore the need for rethinking modeling infrastructure to diminish unanticipated events with insights from Jeff McMillan, Chief Analytics and Data Officer for Morgan Stanley Wealth Management, who shared his thoughts in

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What is a Data Catalog? Value, Benefits and Features

TDAN

No matter where data comes from, becoming data-driven depends on every member of your organization being able to find, access, and use the data they need. This kind of system of organization paves the way for data teams to respond to your business objectives with accuracy and speed – without it, your analysis will always […].

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Introduction to Long Short Term Memory (LSTM)

Analytics Vidhya

ArticleVideo Book Objective LSTM is a special kind of recurrent neural network capable of handling long-term dependencies. Understand the architecture and working of an. The post Introduction to Long Short Term Memory (LSTM) appeared first on Analytics Vidhya.

Analytics 354
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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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A Dashboard Alerts Checklist

Juice Analytics

The four C’s for alerts Context Cogency Communication Control The tendency with reporting, and information dashboard design in particular, is to cram as much information on the page as possible. It is a problem that Avinash Kaushik describes with typical candor : “This one of the core reasons why most dashboards are ’crappy’, i.e. they are data pukes that provide little in terms of context and even less in terms of actionable value.

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Predicting the Sakura Blooming Day With Dataiku DSS

Dataiku

If you ever dreamed of visiting Japan, the best season is spring, when you can see the bloom of Sakura (the world-famous cherry blossom). However, you might need a little bit of luck. Sakura blooms only for a short period of time; seven days after the flowers open, they already start to scatter. There’s a big chance that you'll buy expensive flights only to miss the blossom period.

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How Artificial Intelligence is Expected to Change the Development Process

TDAN

“Robots are not going to replace humans; they are going to make their jobs much more humane. Difficult, demeaning, demanding, dangerous, dull – these are the jobs robots will be taking.” – Sabine Hauert If you still think of Artificial Intelligence (AI) as this highly complex invention that is far from being widespread in almost […].

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Comparison of Pearson and Spearman correlation coefficients

Analytics Vidhya

ArticleVideo Book Introduction In this article, we will be discussing two different types of correlation coefficients i.e. Pearson correlation coefficient and Spearman correlation coefficient. The post Comparison of Pearson and Spearman correlation coefficients appeared first on Analytics Vidhya.

Analytics 387
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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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Why So Many Data Science Projects Fail to Deliver

Decision Management Solutions

by James Taylor, CEO, Decision Management Solutions. If you are working in data science, you may be frustrated with the progress and ROI of your data science and artificial intelligence projects. The struggle is real, and you’re certainly not alone. Recent research conducted by the Alliance Manchester Business School at the University of Manchester and Ivey Business School at Western University identified five common mistakes that prevent companies like yours from getting the highest level of v

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The Rise of the Data Executive

Sisense

Blog. Twenty years ago, no one had heard of a chief data officer. Now the position is central to C-suites in a majority of major companies (65% in NewVantage Partners’ 2021 survey). The rise in prominence of data executives goes hand in hand with the rise of the importance of data in the modern business world: Every company must become truly data-driven, and data executives play an outsized role in making that happen.

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CFO Analytics – Build Your Foundation

Teradata

Without a strong foundation, any house will crumble. The same holds true for CFO Analytics – without a core foundational model, a strong analytics platform will be difficult to build.

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Introduction to The Architecture of Alexnet

Analytics Vidhya

ArticleVideo Book Objective When we talk about the Pre-trained model in the Computer Vision domain, Alexnet comes out as a leading architecture. Let’s understand. The post Introduction to The Architecture of Alexnet appeared first on Analytics Vidhya.

Modeling 322
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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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Success Story: ATPCO Moves to Hybrid Public Cloud for Enhanced Security

CDW Research Hub

Headquartered in Chantilly, VA, ATPCO provides intermediated airfare data such as pricing and shopping data to airlines, global distribution systems, travel agencies and technology companies. The Challenge. With a mandate to achieve enhanced security, availability and reliability for application workloads and infrastructure, ATPCO decided to move away from a custom implemented and maintained infrastructure in a private data center to infrastructure hosted and maintained in the cloud.

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BRIDGEi2i gets Honorable Mention as Mid-size Systems Integrator in Gartner’s Magic Quadrant, 2021

bridgei2i

BRIDGEi2i is pleased to announce its inclusion in Gartner Magic Quadrant’s list of Mid-size Systems Integrator in the 2021 study of Data and Analytics(D&A) service providers. This recognition comes in the wake of two other Gartner mentions (Youngest Analytics Player in 2018 and Pure-play D&A provider in 2020) and puts BRIDGEi2i in league with some niche AI and analytics companies.

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Streaming Data Into Teradata Vantage Using AWS Glue Streaming ETL

Teradata

This guide describes the procedure to stream data into Teradata Vantage on AWS with AWS Glue Streaming ETL jobs and Amazon Kinesis, and to visualize the data with Amazon QuickSight.

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A Friendly Introduction to KNIME Analytics Platform

Analytics Vidhya

ArticleVideo Book Introduction In recent years, data science has become omnipresent in our daily lives, causing many data analysis tools to sprout and evolve. The post A Friendly Introduction to KNIME Analytics Platform appeared first on Analytics Vidhya.

Analytics 313
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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.