KDnuggets

NOVEMBER 28, 2019

Open source is becoming the standard for sharing and improving technology. Some of the largest organizations in the world namely: Google, Facebook and Uber are open sourcing their own technologies that they use in their workflow to the public.

Data Science 160

Data Science Technology Deep Learning Visualization 160

erwin

NOVEMBER 28, 2019

Enterprise architecture tools are becoming more important than ever. The International Enterprise Architecture Institute (IEAI) defines enterprise architecture (EA) as “the analysis and documentation of an enterprise in its current and future states from an integrated strategy, business and technology perspective.”. In the era of data-driven business, such perspective is critical.

Enterprise 145

Enterprise Data-driven Data Governance Digital Transformation 145

KDnuggets

NOVEMBER 28, 2019

This article will walk through an extractive text summarization process, using a simple word frequency approach, implemented in Python.

Analytics 160

Analytics 160

Smart Data Collective

NOVEMBER 28, 2019

Businesses can use big data in many capacities, but those who use it for social media are at a huge advantage. It enables you as a social media marketer to get a closer look at your customer base, understand what drives purchasing decisions , and encourage consumers to pull the trigger. Using big data to augment your social media strategy provides a wealth of opportunities simply because social media is such an integral part of people’s lives.

Big Data 110

Big Data Advertising Recreation/Entertainment Data-driven 110

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Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

KDnuggets

NOVEMBER 28, 2019

Sebastian Thrun, the founder of Udacity, ruined my machine learning project and wedding.

Machine Learning 158

Machine Learning 158

Smart Data Collective

NOVEMBER 28, 2019

Anybody that was online in the 1990s knows how different search engines are in the field of SEO. Big data has drastically improved the functionality of search engines. Big data has had a two-pronged effect on the search engine industry. AJ Agrawal, the CEO of Alumnify has talked about this in his article on Inc. Big data is making it a lot easier for search engines to analyze content, which is a great deal for the customer.

Big Data 99

Big Data Strategy Data-driven Optimization 99

Bruno Aziza

NOVEMBER 28, 2019

Need a New Topic for Thanksgiving Dinner? How to Explain Artificial Intelligence (AI) to Anyone.and Make it Fun!

IT 85

IT 85

KDnuggets

NOVEMBER 28, 2019

A classic KDnuggets Thanksgiving cartoon examines the predicament of one group of fowl Data Scientists.

Big Data 87

Big Data Data Science 87

Octopai

NOVEMBER 28, 2019

Once upon a time, almost all data had one shape, and it was a rectangle. For data structures that followed the relational database model, which relate to each other by “primary keys” and “foreign keys,” this approach worked well, as long as different databases didn’t have to “talk” to each other, at least not directly. Over time, however, the data landscape in many organizations became more complex.

Visualization 54

Visualization Metadata Data Warehouse Reporting 54

FineReport

NOVEMBER 28, 2019

1. What is automated reporting? Automated reporting is the process of regularly sending reports via a variety of ways according to set intervals or triggered tasks. In detail, with the automated reporting software , users can set up the time frame, frequency, or triggered events to send the reports at a specific time. For example, a scheduled report containing the weekly website traffic can be set to automatically send out every Sunday at 10 pm so that the marketing department can use this repor

Reporting 98

Reporting Software Sales Metrics 98

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.