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A collection of big data white papers reviewed by the editors of insideBIGDATA. Please visit the insideBIGDATA White Paper Library for a comprehensive list of white papers focus on big data strategies.

insideBIGDATA Guide to Data Platforms for Artificial Intelligence and Deep Learning

With AI and DL, storage is cornerstone to handling the deluge of data constantly generated in today’s hyperconnected world. It is a vehicle that captures and shares data to create business value. In this technology guide, insideBIGDATA Guide to Data Platforms for Artificial Intelligence and Deep Learning, we’ll see how current implementations for AI and DL applications can be deployed using new storage architectures and protocols specifically designed to deliver data with high-throughput, low-latency and maximum concurrency.

Data Scientist Report 2018

Figure Eight’s Annual Data Scientist Report is now available. Figure Eight (formerly Crowdflower) has been taking the pulse of the data science community since 2015, and this year’s report focuses on both data scientists’ careers and compares their thoughts on AI with those of ethics professionals.

Report: An In-Depth Look at Big Data Trends and Challenges

Our friends over at Qubole announced the results of its “2018 Big Data Trends and Challenges” report — an annual, global survey of IT and data professionals on the trends, challenges, and solutions of big data and machine learning initiatives across the enterprise. The survey found that the value achieved from big data in on-premises environments has significantly lagged behind expectations, and as a result, companies are rapidly shifting to the cloud for applications centered around machine learning (ML), and analytics.

Data Pruning Technology for Data Retention

Aparavi helps organizations master out of control unstructured data growth. The company’s new whitepaper, titled “Multi-Cloud Active Archive,” explains the benefits of a storage model that includes data pruning technology to reduce secondary data growth by 75%.

How an AI-Driven Approach can ‘Free Creativity’

This insideHPC guide series explores how artificial intelligence is revolutionizing and evolving the media and entertainment industries. This post explores how an AI-driven approach can help “free creativity” in these sectors, and offers options for tech communities to assist you on your AI journey. 

AI Case Studies: The Possibilities for the Media Industry

This insideHPC guide series explores how artificial intelligence is revolutionizing and evolving the media and entertainment industries. This post provides AI case studies involving top studios, blockbuster movies and more that illustrate the power and potential of artificial intelligence in these sectors.

Exploring AI Solutions for the Entertainment & Media Industry

This insideHPC guide series explores how artificial intelligence is revolutionizing and evolving the media and entertainment industries. This post walks readers through a variety of AI solutions for the entertainment and media industry, as well as what to consider when choosing the right solution for your organization. 

The 2018 State of Data Management

Profisee, a global leading modern data management technology company, released the results of its first annual data management report, “The 2018 State of Data Management.” The survey, conducted between January and April of 2018, aims to provide insights into data management, strategy, challenges, trends, benchmarks and ‘how others are doing it’. It is Profisee’s hope that data management professionals across the global data management community can use this information to help drive new initiatives.

Trends in Entertainment Industry Push Enterprises Toward AI Tools

This is the second entry in a five-part guide series that explores how artificial intelligence is revolutionizing and evolving the media and entertainment industries. This post explores how trends in the media and entertainment industries are leading enterprises to increasingly adopt AI tools. 

Combining the Benefits of Commercial & Open Analytics

A new e-book explores how organizations in many industries are using open source analytics and SAS, getting the most from both, and what role SAS plays throughout the analytics life cycle.