Sat.Jun 06, 2020 - Fri.Jun 12, 2020

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Rising from the Ashes

Teradata

Teradata's own Sir Freek Cox on dedicating one's life to charity and good works. Read more.

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US Data Leaders Racing to Grow Strong Data Cultures

Corinium

Organizations must not lose sight of this key step on the path to data maturity in the age of COVID-19. Driving cultural change is one of the greatest barriers to advancing data and analytics in business today, and organizations must not lose sight of that fact in the age of COVID-19.

Analytics 221
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A Flash-Point Week For Facial Recognition

Srividya Sridharan

In a letter to Congress this week, IBM’s CEO announced that it will sunset its general-purpose facial recognition and analysis software products. On IBM’s heels, Amazon announced a one-year moratorium on police use of Rekognition, and Microsoft said it will not sell facial recognition technology to US police departments until there is a national law […].

Software 103
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4 Ways to Leverage AI to Become More Agile in an Era of Economic Change

Dataiku

According to Forbes , enterprises increased AI spending by 62% last year. However, those AI initiatives have remained tangential to many companies’ central operations, viewed more as an experiment than an indispensable organizational asset. In the second half of 2020 and beyond, this paradigm will shift, and the move to Enterprise AI will become essential for survival - here are four ways to leverage AI to become more agile in a post-pandemic world.

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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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Video: Data Conversations Over Coffee with Will Bonner

Corinium

In episode 16 we chat to Will Bonner about the role data analytics plays in the micro-lending industry.

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8 Data Virtualization Features to Help an Organization Become Data-Driven

Data Virtualization

Becoming a data-driven organization is not something that can be done in a fortnight. It’s a long and possibly tedious process and certainly not just a matter of buying and installing certain tools. No, even though investments in new technology.

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SQL for Beginners and Analysts – Get Started with SQL using Python

Analytics Vidhya

Overview SQL is a mandatory language every analyst and data science professional should know Learn about the basics of SQL here, including how to. The post SQL for Beginners and Analysts – Get Started with SQL using Python appeared first on Analytics Vidhya.

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Machine Learning and the Production Gap

O'Reilly on Data

The biggest problem facing machine learning today isn’t the need for better algorithms; it isn’t the need for more computing power to train models; it isn’t even the need for more skilled practitioners. It’s getting machine learning from the researcher’s laptop to production. That’s the real gap. It’s one thing to build a model; it’s another thing altogether to embody that model in an application and deploy it successfully in production.

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COVID-19’s Impact on Corporate Learning Laid Bare at L&D Champions Online

Corinium

How organizations can rapidly evolve their talent to foster resilience and innovation was a key theme at this three-day corporate learning digital event. The COVID-19 pandemic has highlighted just how important it is for talent leaders to be laser-focused on the kind of work that will accelerate their organizations’ abilities to adapt and thrive in times of uncertainty.

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Data Visualization – How to Choose the Right Chart?

FineReport

Now you get a data table from your boss, what are you going to do to process the data and make your boss satisfied? From Excel Easy. Using the pivot table or Excel chart to show them better? It’s maybe a good idea, but this may take a lot of time… What about this? Let’s look at the following dashboard together. Isn’t it very cool? How many types of charts can you name?

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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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Your Guide to Getting Started with Geospatial Analysis using Folium (with multiple case studies)

Analytics Vidhya

Overview Geospatial analysis is taking on an ever more important role in the industry The Folium library in Python helps us analyze the location. The post Your Guide to Getting Started with Geospatial Analysis using Folium (with multiple case studies) appeared first on Analytics Vidhya.

Analytics 302
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The Dataiku and Snowflake Data Science Integration: A Real-Life Example

Dataiku

Recently, Dataiku announced our strategic partnership with Snowflake , the cloud data platform. At Dataiku, we support agility in organizations’ data efforts via collaborative, elastic, and responsible AI, all at enterprise scale. Snowflake helps organizations easily transform, integrate, analyze and securely share data across all major clouds, enabling them to collect and process more data than ever before.

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Video: Data Conversations Over Coffee with Bart Pietruszka

Corinium

In episode 15 Bart Pietruszka discusses the evolving role of the Chief Data Officer in the Middle East.

Analytics 195
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How to Take Your Business to The Next Level with Data Intelligence

erwin

What Is Data Intelligence? Data Intelligence is the analysis of multifaceted data to be used by companies to improve products and services offered and better support investments and business strategies in place. Collectively, data intelligence refers to the tools, processes, and activities that are developed from business-related data that the company collects and processes for enhancing business processes.

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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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5 Powerful Excel Dashboards for Analytics Professionals

Analytics Vidhya

Overview Dashboards are ubiquitous in the industry. Every analyst should be well versed with how to create dashboards Excel is an excellent tool for. The post 5 Powerful Excel Dashboards for Analytics Professionals appeared first on Analytics Vidhya.

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How to Figure Out if Your Model Sucks

Dataiku

We’ve spoken before about basic concepts in data science and machine learning algorithms , so by this point, you might have already created a machine learning model. But now the question is: how can you tell if it’s a good model?

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Delivering More Impactful Insights From Your Cloud Data

Sisense

Blog. Every company is becoming a data company. In Data-Powered Businesses , we dive into the ways that companies of all kinds are digitally transforming to make smarter data-driven decisions, monetize their data, and create companies that will thrive in our current era of Big Data. The way businesses operate is constantly evolving. The pressure is on for organizations of all shapes, sizes, and missions to make decisions at speed and scale — and collaborate in real-time.

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Martin Gonzalez: tracking costs and maximizing margin with real-time data

IBM Big Data Hub

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

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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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Introduction to ANOVA for Statistics and Data Science (with COVID-19 Case Study using Python)

Analytics Vidhya

Introduction “A fact is a simple statement that everyone believes. It’s innocent, unless found guilty. A Hypothesis is a novel suggestion that no one. The post Introduction to ANOVA for Statistics and Data Science (with COVID-19 Case Study using Python) appeared first on Analytics Vidhya.

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Writing Production-Ready Code in the Machine Learning Era

Dataiku

“The essence of abstractions is preserving information that is relevant in a given context, and forgetting information that is irrelevant in that context.” - John V. Guttag.

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How to Turn Your Existing Data Into New Revenue

Sisense

Blog. Time to make your data work for you. In Hacking the Analytic App Economy , we show you how to build a data monetization strategy that leverages your company’s data to open new revenue opportunities, drive value, and help you thrive in the new era of analytic apps. What makes the world’s most innovative and successful companies different from the rest?

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Powerbimap – Announcement and call to register for vendors and consultancies

BI-Survey

The ecosystem around Microsoft Power BI is growing fast – consultancies and software vendors are adopting the platform to offer added value in visuals, apps, connectors and data management tools. bi-survey.com is launching an innovative market overview with the clear goal of offering our visitors the fastest and most intelligent way to browse through the Power BI ecosystem and find added value as well as the right partner for their initiatives.

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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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Everything you Should Know About Data Structures in Python

Analytics Vidhya

Overview Data structures in Python are a key concept to learn before we dive into the nuances of data science and model building Learn. The post Everything you Should Know About Data Structures in Python appeared first on Analytics Vidhya.

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Dataiku comes with Visual AutoML (And You Didn’t Even Know About It!)

Dataiku

Inspired by this CDiscount tech post giving an overview of some MetaML solutions, we thought this would be the perfect time to also talk about MetaML. Because what could be more meta than to write a blogpost about another blogpost?

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Do you have the right talent to put AI to work?

IBM Big Data Hub

Around the world, companies are pivoting to adjust to an entirely new reality. Business-as-usual means something far different today than it did just a few months ago. For most enterprises, digital transformation isn’t just a distant business objective—now it’s an imperative to find new ways of doing business.

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COVID-19: Accelerate Digitization (Part 2)

Decision Management Solutions

Following up on part 1 , McKinsey’s Jump-starting resilient and reimagined operations also talked about the impact of COVID-19 in accelerating end-to-end digitization. Many organizations were on this journey already but the need to support remote customers and remote workers has really accelerated it. The thing about end to end digitization is that you must digitize decisions not just data and processes.

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The Big Payoff of Application Analytics

Outdated or absent analytics won’t cut it in today’s data-driven applications – not for your end users, your development team, or your business. That’s what drove the five companies in this e-book to change their approach to analytics. Download this e-book to learn about the unique problems each company faced and how they achieved huge returns beyond expectation by embedding analytics into applications.

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Build your own Animated Data Visualization in Tableau in Just 5 Minutes

Analytics Vidhya

Overview Animated visualizations are a work of art and are really easy to create in Tableau We’ll work with open-source datasets here and create. The post Build your own Animated Data Visualization in Tableau in Just 5 Minutes appeared first on Analytics Vidhya.

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Top-Down vs. Bottom-Up Approaches to Data Science

Dataiku

Data projects are generally organized in one of two ways: top-down (that is, starting with the business question) or bottom-up (starting with the data and working up to insights). But is there a right way, and is one approach better or more effective than the other?

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Save on infrastructure and operational costs with IBM Cloud Pak for Data

IBM Big Data Hub

Modern Data and AI application deployments are expanding through open source containers and hybrid multi-cloud support, but how can you achieve the benefits of infrastructure optimization and unified operationalization without vendor lock-in?

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The Lure and the Fallacy of the New Bright Shiny Object

Teradata

Teradata has an extraordinary legacy; yet only in the IT world is legacy looked at as a negative. Learn how Teradata's legacy gives it the ultimate competitive advantage.

IT 75
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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.