Alation

AUGUST 5, 2021

What is Data Quality? Data quality is defined as: the degree to which data meets a company’s expectations of accuracy, validity, completeness, and consistency. By tracking data quality , a business can pinpoint potential issues harming quality, and ensure that shared data is fit to be used for a given purpose. When collected data fails to meet the company expectations of accuracy, validity, completeness, and consistency, it can have massive negative impacts on customer service, employee producti

Data Quality 52

Data Quality IT Data Governance Sales 52

Analytics Vidhya

AUGUST 5, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction In neural networks we have lots of hyperparameters, it is. The post Hyperparameter Tuning Of Neural Networks using Keras Tuner appeared first on Analytics Vidhya.

Data Science 400

Data Science Publishing Analytics IT 400

bridgei2i

AUGUST 5, 2021

Why Contextual Customer Data is Indispensable to Driving Superior Experiences. Paromita Mitra, Director -Digital Consulting, CX, BRIDGEi2i | Thomas Wieberneit, CRM & CX Evangelist, & Co-Founder, aheadCRM. Highlights. In this podcast, Thomas Wieberneit shares some fascinating insights into how companies can only be successful if their customers are successful. [03.28] What do organizations struggle with the most when it comes to providing superior experiences for their customers?

Enterprise 98

Enterprise Slice and Dice Consulting Digital Transformation 98

Analytics Vidhya

AUGUST 5, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Data- a world-changing gamer is a key component for all. The post Let’s Understand All About Data Wrangling! appeared first on Analytics Vidhya.

Data Science 400

Data Science Publishing Analytics 400

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

DataRobot

AUGUST 5, 2021

There’s a saying, “If you can’t say something nice, don’t say anything at all.” Is there too much hype about AI or too much doomsaying? AI Hype. In 2019, Utah struck a deal with Banjo, a threat detection firm selling AI services to process live traffic feeds, dispatch logs, and other data. Banjo claimed to use software that automatically detected anomalies to help law enforcement solve crimes and respond faster.

Uncertainty 98

Uncertainty Sales Risk Statistics 98

Analytics Vidhya

AUGUST 5, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon The focus of Computer vision is surrounded by the extraction of. The post Edge & Contour Detection – An application of Computer Vision appeared first on Analytics Vidhya.

Data Science 376

Data Science Publishing Analytics Structured Data 376

Analytics Vidhya

AUGUST 5, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Human beings are amongst the most creative species on this. The post 8 Charts You Must Know To Excel In The Art of Data Visualization! appeared first on Analytics Vidhya.

Visualization 373

Visualization Data Science Publishing Analytics 373

Nutanix

AUGUST 5, 2021

The following blog is one of a series of blogs that will discuss the integration of third-party User Environment management solutions. This blog will focus on Liquidware ProfileUnity™ profile manager with a Nutanix Frame Desktop as a Service (DaaS) deployment.

Management 26

Management 26

Analytics Vidhya

AUGUST 5, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction The goal of this article is to identify the language. The post Identifying The Language of A Document Using NLP! appeared first on Analytics Vidhya.

Data Science 344

Data Science Publishing Analytics Machine Learning 344

Smart Data Collective

AUGUST 5, 2021

Collecting, processing, and carrying out analysis on streaming data , in industries such as ad-tech involves intense data engineering. The data generated daily is huge (100s of GB data) and requires a significant processing time to process the data for subsequent steps. Another challenge is the joining of datasets to derive insights. Each process on average has more than 10 datasets and an equal number of joins with multiple keys.

Data Processing 142

Data Processing Metadata Broadcasting Statistics 142

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.

Strategy

Cloudera

AUGUST 5, 2021

In our previous blog, we talked about the four paths to Cloudera Data Platform. . In-place Upgrade. Sidecar Migration. Rolling Sidecar Migration. Migrating to Cloud. If you haven’t read that yet, we invite you to take a moment and run through the scenarios in that blog. The four strategies will be relevant throughout the rest of this discussion. Today, we’ll discuss an example of how you might make this decision for a cluster using a “round of elimination” process based on our decision workflow.

Testing 118

Testing Risk Finance Reporting 118

DataKitchen

AUGUST 5, 2021

In our last post, we summarized the thinking behind the data mesh design pattern. In this post (2 of 5), we will review some of the ideas behind data mesh, take a functional look at data mesh and discuss some of the challenges of decentralized enterprise architectures like data mesh. Last we’ll explore how DataOps can be paired with data mesh to mitigate these challenges.

Enterprise 246

Enterprise Management Data Processing Analytics 246