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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 Optimized Storage for AI and Deep Learning Workloads

Artificial Intelligence (AI) and Deep Learning (DL) represent some of the most demanding workloads in modern computing history as they present unique challenges to compute, storage and network resources. In this technology guide, insideBIGDATA Guide to Optimized Storage for AI and Deep Learning Workloads, we’ll see how traditional file storage technologies and protocols like NFS restrict AI workloads of data, thus reducing the performance of applications and impeding business innovation. A state-of-the-art AI-enabled data center should work to concurrently and efficiently service the entire spectrum of activities involved in DL workflows, including data ingest, data transformation, training, inference, and model evaluation.

Streaming Cloud Integration: Key Data Considerations for Hybrid and Multicloud Architectures

A new white paper from Striim explores why hybrid-cloud, multicloud, or inter-cloud architecture strategies all need a modern, real-time data integration solution that keeps up with the speed of business. Striim is uniquely qualified to help make the journey to cloud fast and smooth. Striim simplifies moving real-time data across a diverse set of data sources and cloud targets with high-performance, security, and reliability.

How Hadoop Can Help Your Business Manage Big Data

Hadoop. Once largely unknown, hit the scene in part due to the explosion of unstructured data. Download the new white paper, “Making the Most of Your Investment in Hadoop,” through which SQREAM explores an approach to Hadoop that aims to help businesses reduce time-to-insight, increase productivity, empower data teams for better decision making, and increase revenue.

How Companies Can be Ethical with AI

One big question in the industry these days is about the safeguards companies can take to ensure their AI is fair and ethical. Stakeholders are trying to determine how enterprises can ensure that their employees, investors and customers trust their AI technology. With AI advancing at the incredible rate that it is and being applied to diverse use cases such as criminal detection, this is an important and timely topic.

DarwinAI Generative Synthesis Platform and Intel Optimizations for TensorFlow Accelerate Neural Networks

DarwinAI, a Waterloo, Canada startup creating next-generation technologies for Artificial Intelligence development, announced that the company’s Generative Synthesis platform – when used with Intel technology and optimizations – generated neural networks with a 16.3X improvement in image classification inference performance. Intel shared the optimization results in a recently published solution brief.

State of Data Science, Engineering & AI Report – 2019

Our friends over at Diffbot, using the Diffbot Knowledge Graph, and in only a matter of hours, conducted the single largest survey of machine learning skills ever compiled in order to generate a clear, global picture of the machine learning workforce. All of the data contained in the “State of Data Science, Engineering & AI Report – 2019” was pulled from the company’s structured database of more than 1 trillion facts about 10 trillion entities (and growing autonomously every day).

New Io-Tahoe White Paper Designed to Help Prepare for CCPA

There’s no denying it. Big data, and the resulting applications and technology have not only made consumers’ lives easier, but have also created new revenue streams for enterprises across all sectors. That said, the explosion of data has also created concerns around data privacy and cyber security, and has gotten the attention of regulators. Download the new report, “6 Steps: Getting Ready for CCPA,” courtesy of Io-Tahoe, to learn more about today’s new data privacy regulations to better protect your enterprise.

AI-Driven Data Catalogs: How to Find the Right one for Your Business

The commoditization of data has opened a world of opportunities up for countless enterprises. But as big data explodes, metadata initiatives are failing, and data discovery and retrieval is getting more and more difficult. A new white paper from IO-Tahoe explores data catalogs as a potential answer to this challenge.

CDO Role Evolving as Data Becomes Driving Force for Many Companies

The job of Chief Data Officers is changing and evolving at a rapid pace. The CDO role, in many cases, is one of the most important strategically for many businesses and organizations driven by data. A new white paper from Io-Tahoe explores the best approaches for CDOs to succeed in todays quickly evolving market.

AI’s Role in Unleashing Intelligent Sensing

The rise of artificial intelligence (AI) is unlocking a wave of new sensor applications and driving market demand for intelligent sensing – the ability to extract insights from sensor data. To guide innovation and investment in this fast-evolving market, the team at Lux Research, a leading provider of tech-enabled research and advisory services for technology innovation, took a deep dive into how and where enhanced AI analytics are rapidly improving the capabilities of software-defined sensors.