Cloudera

MARCH 16, 2021

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

Snapshot 55

Snapshot Data Processing Software Reporting 55

Dataiku

MARCH 19, 2021

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

IT 59

Analytics Vidhya

MARCH 17, 2021

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.

Data Science 400

Data Science Publishing Analytics Deep Learning 400

Rocket-Powered Data Science

MARCH 19, 2021

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.

Internet of Things 259

Internet of Things Analytics IoT Prescriptive Analytics 259

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.

Experimentation

David Menninger's Analyst Perspectives

MARCH 17, 2021

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 230

Analytics Enterprise Management Data Lake 230

Juice Analytics

MARCH 17, 2021

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

Metrics Visualization Dashboards Testing 138

Ontotext

MARCH 19, 2021

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

Metadata Enterprise Publishing Management 124

Domino Data Lab

MARCH 16, 2021

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

Modeling Deep Learning Testing Optimization 122

Dataiku

MARCH 16, 2021

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 106

Marketing 106

Analytics Vidhya

MARCH 16, 2021

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

Analytics Deep Learning 354

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.

Management

TDAN

MARCH 16, 2021

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 […].

Data Governance 105

Data Governance Testing Modeling Data Quality 105

Jet Global

MARCH 19, 2021

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

Management 98

Management Forecasting Finance Reporting 98

Dataiku

MARCH 16, 2021

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 106

Analytics Data Science Strategy IT 106

Analytics Vidhya

MARCH 18, 2021

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.

Deep Learning 355

Deep Learning Modeling Analytics 355

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.

Testing

TDAN

MARCH 16, 2021

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 […].

Data Transformation 98

Data Transformation Risk Management Risk Data Strategy 98

DataCamp

MARCH 17, 2021

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

98

98

Dataiku

MARCH 18, 2021

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

Modeling 96

Modeling Machine Learning Management Analytics 96

Analytics Vidhya

MARCH 14, 2021

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 353

Analytics Structured Data Statistics 353

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IT

TDAN

MARCH 16, 2021

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 […].

Business Objectives 87

Business Objectives Data-driven IT Metadata 87

Juice Analytics

MARCH 16, 2021

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.

Dashboards 78

Dashboards Metrics Measurement Visualization 78

Dataiku

MARCH 17, 2021

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.

Predictive Modeling 59

Predictive Modeling Modeling IT 59

Analytics Vidhya

MARCH 19, 2021

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.

Data Science 344

Data Science Machine Learning Publishing Analytics 344

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.

Customer Analytics

TDAN

MARCH 16, 2021

“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 […].

Data Strategy 71

Data Strategy Business Intelligence Big Data Software 71

Decision Management Solutions

MARCH 16, 2021

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

Data Science 59

Data Science ROI Machine Learning Modeling 59

Sisense

MARCH 19, 2021

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.

Data-driven 52

Data-driven Data Strategy Strategy Business Objectives 52

Analytics Vidhya

MARCH 17, 2021

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.

Deep Learning 347

Deep Learning Modeling Analytics 347

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.

Risk

Teradata

MARCH 18, 2021

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.

Analytics 52

Analytics Modeling 52

CDW Research Hub

MARCH 18, 2021

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.

Data Processing 52

Data Processing Optimization Consulting Testing 52

bridgei2i

MARCH 18, 2021

Ways Artificial Intelligence Is Transforming Insurance Sector. Artificial intelligence is affecting the entire landscape of the insurance sector. Change is here, and more is on the way. McKinsey reports estimates a potential annual value of up to $1.1 trillion if AI tech is fully applied to the insurance sector. Artificial intelligence can be used to price insurance policies more competitively and relevantly and recommend valuable products to customers.

Insurance 52

Insurance Machine Learning Enterprise Reporting 52

Analytics Vidhya

MARCH 16, 2021

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.

Data Science 338

Data Science Publishing Analytics Deep Learning 338

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Strategy