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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.

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.

SparkCognition’s Darwin Machine Learning Platform Designed to Accelerate Data Science at Scale

As machine learning technology becomes more widely available on an enterprise scale, differentiating and studying which platform can be best for your business can be difficult. A new white paper from SparkCognition explores one of the solutions on the market that works to accelerate data science at scale. Its Darwin machine learning platform is designed to automate the building and deployment of models.

How Alternative Data is Paving the Way for the Future of Investment Management

Many hedge fund managers to mutual funds — and even private equity managers — are turning to alternative data to pave the way for the future of investment management. SparkCognition contends that alternative data has the power to improve valuation of securities and ramp up clarity of the investment process. Download the new report, “Alternative Data for Investment Management,” courtesy of SparkCognition, to learn more about how alt data and machine learning is changing the future of investment management.

What Makes GPUs, GPU Databases Ideal for BI?

What makes GPU databases ideal for BI? That’s what a new white paper from SQream DB wants to explain — incorporating real-world use cases to explain how you can turn your existing BI pipeline into “a more capable, next-generation big data analytics system.” Download the new report, courtesy of SQream DB, to learn more about how GPUs and GPU databases can help you organize and benefit from your next big data analytics system.

Building a Data Catalog: A Guide to Planning & Implementing

Building and implementing a data catalog can help your enterprises’ data community discover and use the best data and analytics resources for their projects. A data catalog can help businesses achieve faster results, and make better decisions. As for the next steps to address the importance of data catalogs in your business, Data.world covers that, as well, in a new report.

A ‘Pre-Flight Checklist’ for Machine Learning Training Data

Machine learning is often key to success for today’s institutions that rely heavily on data for success. But often, data science teams can have a difficult time convincing their organizations of the breadth and size of a training data challenge. A new report from Alegion walks through a checklist to review before helping your enterprise take the next step in machine learning.