Smart Data Collective

AUGUST 9, 2019

It’s no secret that everything businesses need to grow and accomplish their vision is theirs for the taking. But like anything that yields powerful results, the process doesn’t come easy. This describes the dilemma many organizations are facing when it comes to getting insights out of data. But before enterprises can shore up their analytics processes, they need to understand what’s holding them back.

Analytics 82

Analytics Business Intelligence Interactive Enterprise 82

KDnuggets

AUGUST 9, 2019

Image segmentation is the classification of an image into different groups. Many kinds of research have been done in the area of image segmentation using clustering. In this article, we will explore using the K-Means clustering algorithm to read an image and cluster different regions of the image.

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Smart Data Collective

AUGUST 9, 2019

Big data in the gaming industry has played a phenomenal role in the field. We have previously talked about the benefits of using big data by gaming providers that offer cash games, such as slots. However, more mainstream games use big data as well. Fortnite is one of the games that uses big data to offer great service to its customers. Even Forbes Tech Council has written about the benefits of data lakes in Fortnite.

Big Data 77

Big Data Data Lake Data Architecture Machine Learning 77

KDnuggets

AUGUST 9, 2019

Who is this guide for? Anyone working on non-trivial deep learning models in Pytorch such as industrial researchers, Ph.D. students, academics, etc. The models we're talking about here might be taking you multiple days to train or even weeks or months.

Deep Learning 89

Deep Learning Modeling 89

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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.

Visualization

Timo Elliott

AUGUST 9, 2019

Experience management is about combining experience data (x-data) with operational data (o-data) to optimize every experience that matters in the organization, from the customer journey to an upgrade of your IT systems. In this short keynote presentation from the SAP Festival in Brussels, I give examples of real-life organizations that are using X+O data to listen, understand, and act on business opportunities to fix the “experience gaps” that permeate modern life.

Enterprise 66

Enterprise Management Optimization IT 66

KDnuggets

AUGUST 9, 2019

A gentle introduction to callbacks in Keras. Learn about EarlyStopping, ModelCheckpoint, and other callback functions with code examples.

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KDnuggets

AUGUST 9, 2019

The position requires a passion for research, a proven research track record in computer vision, an ability to work independently as well as lead a team, and a willingness to work on inter-disciplinary research projects and seek external funding. The successful candidate will align with the group goal on building a world-class computer vision team.

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Smarten

AUGUST 9, 2019

Why Should Your Business Users Want to Become Citizen Data Scientists? You have probably heard a lot about the benefits of transforming business users into Citizen Data Scientists by deploying an advanced analytics platform. Let’s say you did your homework and found just the right solution so that all your needs are met and your business users can happily embrace the solution and become empowered – and in so doing, add value and accountability to your organization.

Data-driven 51

Data-driven Testing Visualization Reporting 51

Dataiku

AUGUST 9, 2019

Between growing data and analytics teams, more collaborative projects, and GDPR , security and governance are becoming bigger issues. As organizations' analytical maturity improves, it's increasingly critical that business and technical users alike understand data best practices.

Analytics 48

Analytics IT Data Architecture Technology 48

CDW Research Hub

AUGUST 9, 2019

B usinesses adopt the public cloud for agility, scalability, and the “pay for what you use” cost model. This allows for an increase in revenue and savings while optimizing resource utilization. Many clients of Microsoft public cloud services, like Office 365 (O365), get their initial Azure tenant created as part of an O365 deployment with little planning for the long term.

Enterprise 45

Enterprise Management Testing Optimization 45

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.

Management