Thu.Mar 25, 2021

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The Value of Data Governance and How to Quantify It

erwin

erwin recently hosted the second in its six-part webinar series on the practice of data governance and how to proactively deal with its complexities. Led by Frank Pörschmann of iDIGMA GmbH, an IT industry veteran and data governance strategist, the second webinar focused on “ The Value of Data Governance & How to Quantify It.”. As Mr. Pörschmann highlighted at the beginning of the series, data governance works best when it is strongly aligned with the drivers, motivations and goals of the bu

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Gradient Boosting Machine for Data Scientists

Analytics Vidhya

ArticleVideo Book Objective Boosting is an ensemble learning technique where each model attempts to correct the errors of the previous model. Learn about the. The post Gradient Boosting Machine for Data Scientists appeared first on Analytics Vidhya.

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A Data Storytelling Checklist

Juice Analytics

Before you send off that data story or presentation, check out these eight guidelines to see if it is ready for prime-time. For more data storytelling inspiration, here’s a list of 20 world-class examples and our ultimate collection of resources. 1. Data is only one ingredient Words and images are the glue that holds your story together. Have you connected your data using a narrative flow?

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How to select Best Split in Decision Trees using Chi-Square

Analytics Vidhya

ArticleVideo Book Introduction Welcome back! In the previous article, we learned about Gini impurity which we use to decide the purity of nodes. There. The post How to select Best Split in Decision Trees using Chi-Square appeared first on Analytics Vidhya.

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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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Top BI and Analytics Tools for Data-Driven Businesses

Smart Data Collective

Business reporting has been around for a long time but the tools and techniques of business intelligence have refined over time and now with the recent popularity of data driven business approach, data has been identified as the most valuable asset of a business and data analytics and reporting has finally found a key place in the business world. Nearly 70% of all companies have a data-driven strategy to grow their organization.

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Fighting Data Bias – Everyone’s Responsibility

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. What is Bias? Most of you might have watched or. The post Fighting Data Bias – Everyone’s Responsibility appeared first on Analytics Vidhya.

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Analytics success: in a world turned upside-down, what changed and what didn’t?

Timo Elliott

My presentation from the SAP Insider Data & Analytics Conference, talking about how traditional analytics barriers, and how the latest technologies can help.

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How to Set up a Predictive Maintenance Project that is Set for Success

Smart Data Collective

The predictive maintenance industry has a great impact on the life of equipment. The process aims to reduce machine downtime, enabling, for example, better maintenance planning. However, the project needs to be well developed for a good monitoring of production. According to data from the US Department of Energy, the savings generated by the application of this model reach up to 30% in maintenance costs, with a reduction of approximately 75% in downtime and up to 45% in downtime.

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DataKitchen Wins DataOps Company of the Year, 2021, from the Data Breakthrough Awards

DataKitchen

The post DataKitchen Wins DataOps Company of the Year, 2021, from the Data Breakthrough Awards first appeared on DataKitchen.

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Will Data Privacy drive an Enterprise Data Strategy?

Cloudera

Data privacy is an increasingly complex and contentious topic. The appropriate use of data and transparency to the potential uses of the data are at the center of debate amongst the largest Big Tech companies. . The protection and controls around data become increasingly complex when used in the context of banking and insurance activities. Personal and confidential information carries heightened sensitivity in the light of financial, health and insurance activities.

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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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Automating Decentralized Planning in Manufacturing

Jedox

Mid-market and enterprise manufacturers often operate multiple plants in more than one country. A planning and budgeting process that is supported only by Excel results in hundreds, if not thousands, of spreadsheets being sent back and forth. This results in lower accuracy, takes up valuable time, and is generally frustrating for every finance professional that [.

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Join us on April 7th for Our Free Webinar on Decision Modeling

Decision Management Solutions

How Decision Modeling Reduces Complexity in Regulated Industries. Please join us on Wednesday, April 7, 2021 from 10:00 am – 11:00 am PST, 1:00 pm – 2:00 pm EST, to learn about how decision modeling can help your business teams articulate their most important decisions to help drive continuous improvement and greater efficiencies at scale.

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Helping Businesses Fast-Track Digital Transformation During the Pandemic

CDW Research Hub

Necessity is the mother of acceleration. Case in point: organizations that previously might have allowed months or even years for their digital transformation projects suddenly had to complete them in a matter of weeks in response to the rapidly changing environment of COVID-19. As a result, many clients turned to Sirius to fast-track their digital transformation efforts during the pandemic.

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Bring Your Own AWS Network to Frame

Nutanix

Nutanix has added a Bring Your Own (BYO) Networking feature to its Frame® Desktop-as-a-Service (DaaS) solution. In this blog, I walk you through how a test environment could be set up in an AWS® infrastructure to familiarize a Frame administrator with how this feature works.

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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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Cracking the code on gender parity in the workplace

Cloudera

I used to work for a female CEO who said that in her organization, “the powder room is the power room”. It’s been a while since I heard that statement, yet such an environment is still far from the truth for many companies. Women are still underrepresented in the science, technology, engineering, and mathematics (STEM) field and more so in leadership positions.

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Bring Your Own AWS Network to Xi Frame

Nutanix

Nutanix has added a Bring Your Own (BYO) Networking feature to its Xi Frame® Desktop-as-a-Service (DaaS) solution. In this blog, I walk you through how a test environment could be set up in an AWS® infrastructure to familiarize a Xi Frame administrator with how this feature works.

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How Toulouse Business School Made Data and AI a Strategic Pillar (With Dataiku!)

Dataiku

Not many educational institutions were working with Dataiku in 2015, as Dataiku was heavily focused on scaling (we had 90 team members, whereas today we have over 600!) and democratizing data science at enterprises across the globe. In fact, we didn’t formally announce the Dataiku Academic Program until 2017 as a no-charge licensing, support, and learning resource for teachers, researchers, and students in the data science and analytics space.