Sat.Jun 13, 2020 - Fri.Jun 19, 2020

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3 Advanced Excel Charts Every Analytics Professional Should Try

Analytics Vidhya

Overview Advanced Excel charts are a great way to create effective and impactful stories for our audience Learn 3 advanced Excel charts here to. The post 3 Advanced Excel Charts Every Analytics Professional Should Try appeared first on Analytics Vidhya.

Analytics 349
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Digital Transformation in the Spotlight at DCO Nordics

Corinium

Data Champions Online Nordics revealed how the region’s data leaders are mastering stakeholder management, increasing data literacy and managing expectations around emerging technologies. Corinium’s inaugural Data Champions Online, Nordics event brought together more than 200 data and analytics executives from the region’s leading brands from June 9-11.

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The Difference Between Enterprise Architecture and Solutions Architecture

erwin

Despite the similarities in name, there are a number of key differences between an enterprise architecture and solutions architecture. Much like the differences between enterprise architecture (EA) and data architecture, EA’s holistic view of the enterprise will often see enterprise and solution architects collaborate. And as with data architecture , a solution architect’s focus is narrower.

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There Are No Perfect Words…

Teradata

Juneteenth has been declared a U.S. holiday at Teradata, as we stand with the black community and reflect on what we can do to fight racism and injustice, and embrace diversity.

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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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AUC-ROC Curve in Machine Learning Clearly Explained

Analytics Vidhya

AUC-ROC Curve – The Star Performer! You’ve built your machine learning model – so what’s next? You need to evaluate it and validate how. The post AUC-ROC Curve in Machine Learning Clearly Explained appeared first on Analytics Vidhya.

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COVID-19 Tops the Agenda at Data Champions Online Financial Services

Corinium

This digital event shone a light on how financial services data leaders are accelerating their organizations’ digital transformations in response to the pandemic. COVID-19’s impact on the financial services sector dominated conversations at Corinium’s Data Champions Online, Financial Services digital event earlier this month.

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4 Steps to Building a Successful Data Program

DataCamp

AXA XL’s Head of Strategic Design, Data, Pricing and Analytics breaks down how to get your data program off the ground and implement a successful data-driven culture.

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Statistics for Analytics and Data Science: Hypothesis Testing and Z-Test vs. T-Test

Analytics Vidhya

Overview Hypothesis testing is a key concept in statistics, analytics, and data science Learn how hypothesis testing works, the difference between Z-test and t-test, The post Statistics for Analytics and Data Science: Hypothesis Testing and Z-Test vs. T-Test appeared first on Analytics Vidhya.

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Video: Data Conversations Over Coffee with Janine, Rohena & Maria

Corinium

In episode 17 I'm joined by Janine West and Rohena Govender from Investec and Maria Dalle Ave from the JSE for a conversation about data privacy & protection.

Analytics 195
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Bar Chart Race: A Complete Guide

FineReport

Have such videos been hot recently? Its professional name is the bar chart race. You may have seen this video many times. The effect can be said to be very intuitive and shocking, but do you know how to do it? Under normal circumstances, a lot of code needs to be developed to make a chart like this. For most people, the requirements are too high, and the cost of learning is also high.

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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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The Difference Between Enterprise Architecture and Solutions Architecture

erwin

Despite the similarities in name, there are a number of key differences between an enterprise architecture and solutions architecture. Much like the differences between enterprise architecture (EA) and data architecture, EA’s holistic view of the enterprise will often see enterprise and solution architects collaborate. And as with data architecture , a solution architect’s focus is narrower.

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A Classic Deep Learning Project – How to Add an Image Behind Objects in a Video

Analytics Vidhya

Overview Adding an image behind a moving object is a classic deep learning project Learn how to add a logo in a video using. The post A Classic Deep Learning Project – How to Add an Image Behind Objects in a Video appeared first on Analytics Vidhya.

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Video: Data Conversations Over Coffee with Thuthukile Rakharebe

Corinium

This is the first in a short series promoting the Data Management profession.

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Five Design Tips to Deliver a Seamless Embedded Analytics Experience

Sisense

Blog. In Managing Up , we give product managers and their teams actionable guidance on how to build, test, and release programs that will delight users and stand the test of time. From development to execution, our industry experts and seasoned pros can help you work smarter, not harder. Delivering additional value to your customers by providing data-driven insights is a sure-shot way to improve your competitive advantage and monetize your data.

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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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Accelerate your journey to AI in the financial services sector

IBM Big Data Hub

As the world confronts new challenges, it is a unique, unprecedented time to recast old ways of working and redefine industries. At this moment, although it may seem that global business is at its quietist, beneath a veneer of calm, feverish transformations are taking place across markets, behind the closed doors of companies and their workers, all evolving to these new conditions.

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UnLock 2020 – Announcing Starter Programs in Machine Learning and Business Analytics at an Unmissable Price

Analytics Vidhya

UnLock your Once-in-a-Lifetime Learning Opportunity What if you were provided with the highest quality machine learning and business analytics courses, at an unmissable price, The post UnLock 2020 – Announcing Starter Programs in Machine Learning and Business Analytics at an Unmissable Price appeared first on Analytics Vidhya.

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Video: Data Conversations Over Coffee with Eugene Ras

Corinium

In episode 18 Eugene talks to me about Distell's data analytics journey as well how they've responded to the recent ban on the sales of alcohol.

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The 6 Core Skills of a Good Data Scientist

Dataiku

The term “ data scientist ” was coined in 2008 by two LinkedIn analysts to describe their work deriving business value from the masses of data being generated by their website. Since then, people haven't stopped wondering what a data scientist really is (even some companies looking to hire them aren't so sure). If you're seeing an intrepid data scientist to lead your company on the path to Enterprise AI, what skill sets should you be looking for?

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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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How to use AI to optimize queries and automate resource management

IBM Big Data Hub

As companies progress on their Journey to AI , there is considerable focus on what needs to be available to build AI driven applications. The rungs of the AI ladder, which are best described as Collect, Organize, Analyze, Infuse, and Modernize are designed to strengthen a company’s use of AI. However, the individual impact of AI on each rung should not be overlooked.

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The What, Why and How of Successful Management Reporting

FineReport

Management reporting is common and to some extent indispensable in enterprise reporting. These are very useful as they provide corporate leaders with accurate data and detailed management conditions, which helps them make smarter decisions and adjust strategies. In this article, we’re going to introduce the what, why, and how of successful management reporting and provide solutions for you.

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Just Published: Dual Forrester Wave™ Evaluations On Text Analytics

Boris Evelson

Enterprises have been successfully leveraging analytics platforms such as business intelligence (BI), predictive analytics based on machine learning (PAML), cognitive search, and others for multiple applications and use cases for decades. That has not been the case with text analytics or natural language processing (NLP) technologies. Forrester tracks over hundred vendors whose platforms are mostly […].

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COVID-19: Increase transparency (Part 3)

Decision Management Solutions

Following up on part 1 and part 2 , McKinsey’s Jump-starting resilient and reimagined operations highlighted how COVID-19 will rapidly increasing expense transparency in organizations. Increasing transparency generally is one of the key benefits of our approach to working with clients – our use of decision modeling and business rules technology often dramatically increases the general level of transparency in their decision-making for instance.

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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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Share VSAM data with new environments while reducing operating costs

IBM Big Data Hub

A survey of end-users of Data Integration and Integrity (DII) software conducted by IDC in 2019 found that dynamic data movement, also known as data replication, is best served by stand-alone or platform tools, not custom code.

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DataCamp’s New Partnership With Anaconda to Spread Data Fluency

DataCamp

DataCamp is partnering with Anaconda to help you develop your team’s expertise in Python for data science.

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The Paycheck Protection Program: What CFOs Should Know

Jet Global

The Paycheck Protection Program (PPP) is a cornerstone of the recent CARES Act, which was passed at the end of March. The law allocated $349 billion to assist small businesses in covering payroll and related expenses, as well as mortgage interest, rent, and utilities. The program got some negative publicity because of a somewhat rocky rollout and the fact that funding in the original bill was depleted very quickly.

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Don’t Buy Data – Invest In It

TDAN

There are some expressions about data that are getting a bit tired: “Data is the new oil,” “In God We Trust (all others must bring data),” “Buy data, sell high”… Okay, you caught me, I kind of made that last one up. But, the point stands: the narrative around data tells us we all understand […].

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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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Standard Bank Group is preparing to embrace Africa’s AI opportunity

IBM Big Data Hub

Africa is no stranger to the challenges of infectious diseases. Since 2015, hawse have addressed the likes of Bubonic Plague, Dengue Fever, Ebola, Measles, Middle East Respiratory Syndrome (MERS), Yellow Fever, and Zika Virus—at the cost of hundreds of thousands of lives across the continent. As COVID-19 bears down on the globe, Africa again braces herself for the human and economic challenges ahead.

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The Many Flavors of Gradient Boosting Algorithms

Dataiku

The most famous implementation of Gradient Boosting algorithm is probably XGBoost [ 1 ] for its wins in many Kaggle competitions. Although it performs very well on various tasks, it presents some limits with scalability. Recently, contenders such as LightGBM [ 2 ], HistGradientBoosting and CatBoost [ 3 ] have been developed, and they each come with their own implementation tricks to tackle this issue.

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AWS First-Party Service Integration with Teradata Vantage

Teradata

Integration with AWS first-party services gives our enterprise customers as much cloud-native functionality as they want for their Vantage environments. Learn more.

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Data’s Gender Gap: Women’s Health at Risk

TDAN

Data’s gender gap manifests and permeates society detrimentally in many iterations. One area that brings the most immediate danger is medicine. There is extensive research on most prominent and common health issues for men, but a lack of funding and properly conducted studies in regard to common health issues that primarily or exclusively affect women. […].

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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.