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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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 277
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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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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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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.

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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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Trending Toward Concept Building – A Review of Model Interpretability for Deep Neural Networks

Domino Data Lab

We are at an interesting time in our industry when it comes to validating models – a crossroads of sorts when you think about it. There is an opportunity for practitioners and leaders to make a real difference by championing proper model validation. That work has to include interpretability and explainability techniques. Explaining how deep neural networks work is hard to do.

Modeling 122
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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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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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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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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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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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The Architecture of Lenet-5

Analytics Vidhya

ArticleVideo Book Objective Transfer learning through Pre-trained models is a time and cost-efficient solution for deep learning problems. Understand the Architecture of Lenet-5 as. The post The Architecture of Lenet-5 appeared first on Analytics Vidhya.

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8 Steps to Transformation at Speed & Scale – Your Guide to Deploying StratOps

📌Is your Data & AI transformation struggling to really impact the business? Discover the game-changing StratOps approach that: Bridges the Gap : Connect your Data & AI strategy to your operating model, to ensure alignment at every level. Prioritizes Outcomes : Focuses on concrete business outcomes from day one, rather than capabilities in isolation.

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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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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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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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Understanding Robotics With Python

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction Robotics- the futuristic field of work in which machines. The post Understanding Robotics With Python appeared first on Analytics Vidhya.

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Marketing Operations in 2025: A New Framework for Success

Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com

Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.

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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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Top Data Management Trends for Chief Data Officers (CDOs)

erwin

The role of chief data officer (CDO) is becoming essential at forward-thinking organizations — especially those in financial services — according to “ The Evolving Role of the CDO at Financial Organizations: 2021 Chief Data Officer (CDO) Study ” just released by FIMA and sponsored by erwin. The e-guide takes a deep dive into the evolving role of CDOs at financial organizations, tapping into the minds of 100+ financial global financial leaders and C-suite executives to look at the lat

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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 358
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The Cloud Development Environment Adoption Report

Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.

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Martha Bennett

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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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Top Data Management Trends for Chief Data Officers (CDOs)

erwin

The role of chief data officer (CDO) is becoming essential at forward-thinking organizations — especially those in financial services — according to “ The Evolving Role of the CDO at Financial Organizations: 2021 Chief Data Officer (CDO) Study ” just released by FIMA and sponsored by erwin. The e-guide takes a deep dive into the evolving role of CDOs at financial organizations, tapping into the minds of 100+ financial global financial leaders and C-suite executives to look at the lat

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Improving your Deep Learning model using Model Checkpointing- Part 1

Analytics Vidhya

ArticleVideo Book Introduction Deep learning is ubiquitous – whether it’s Computer Vision applications or breakthroughs in the field of Natural Language Processing, we are. The post Improving your Deep Learning model using Model Checkpointing- Part 1 appeared first on Analytics Vidhya.

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

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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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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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FRTB: Will 2023 Finally be the Year?

Cloudera

The Fundamental Review of the Trading Book (FRTB), introduced by the Basel Committee on Banking Supervision (BCBS), will transform how banks measure risk. FRTB is designed to address some fundamental weaknesses that did not get addressed in the post-2008 financial crisis regulatory reforms. In order to help make banks more resilient to drastic market changes, it will impose capital requirements that are more closely aligned with the market’s actual risk factors.

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Multicollinearity in Data Science

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction Multicollinearity is a topic in Machine Learning of which. The post Multicollinearity in Data Science appeared first on Analytics Vidhya.

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The Ultimate Guide To Data-Driven Construction: Optimize Projects, Reduce Risks, & Boost Innovation

Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network

In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.