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AI, Analytics and the Future of Your Enterprise

Tapping into the power of big data and analytics can be daunting. Download a new white paper from Pure Storage that explores how to jump into the world of big data and emerging AI technology, and take advantage of its benefits. The company’s research of emerging trends revealed three challenges of big data, and opportunities therein.

How to Choose Your Own Adventure for Business and Data Analysts

For business and data analysts, the future is full of unknowns. The good news is that their in a great position to steer the evolution of their roles in this new era of big and fast data. Download the new guidebook from Dataiku that explores the different roles of today’s business and data analysts, as well as trends and what lies ahead for these professionals.

Modernizing Healthcare Workloads with Virtual GPU Technology

In the healthcare sector, clinicians are increasingly using mobile devices such as smartphones, tablets, and personal laptops to access patient records and more. Many hospitals have turned to virtualization and virtual GPU technology to offer greater mobility, security, and IT manageability. Download the report from HPE that explores how virtual GPU technology is modernizing healthcare. 

Revolutionizing Healthcare with Artificial Intelligence

Artificial intelligence has already had a profound effect on many industries. But for the healthcare sector, this collection of technologies is proving to be nothing short of transformative. Download the new report from HPE that explores how tools like GPUs and deep learning platforms are changing and progressing healthcare.  

Optimizing Machine Learning with Tensorflow, ActivePython and Intel

Through the use of machine learning, unique insights become valuable decision points. As developers consider the varied approaches to leverage machine learning, the role of tools comes to the forefront. Listen to this Gigaom Research webinar that takes a look at the opportunities and challenges that machine learning brings to the development process.

Recommendation Engines: Learn How to Drive More Users to Your Content

A new guide from Dataiku provides a high-level overview of recommendation engines, how they’re built, and how they can be used to improve your business. Download the full report to find out how recommendation engines can be an effective way to drive more eyes to your content.

Python: Unlocking the Power of Data Science & Machine Learning

Python stands out as the language best suited for all areas of the data science and machine learning framework. Designed as a flexible general purpose language, Python is widely used by programmers and easily learnt by statisticians. Download the new guide from ActiveState that provides a summary of Python’s attributes, as well as considerations for implementing the programming language to drive new insights and innovation from big data.

Machine Learning Basics: An Illustrated Guide for Non-Technical Readers

A new guidebook from Dataiku explores the basic concepts of machine learning. Learn about the common algorithms used in machine learning today as well as how to evaluate and fine-tune these models. Download the full report to discover why machine learning is growing and what it can potentially do for your business. 

insideBIGDATA Guide to Artificial Intelligence & Deep Learning

In this guide we explain the difference between AI, machine learning and deep learning, and include highlights of the insideBIGDATA audience survey. To learn more about AI and deep learning download this guide.