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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.

Special Report: The State of AI and Machine Learning

Appen Limited, a leading provider of high-quality training data for organizations that build effective AI systems at scale, released its annual State of AI Report for 2020. The report highlights increasing C-suite involvement and investment in enterprise AI projects as well as data being a key challenge as AI models get more frequent updates in production. The report also reveals the recent acceleration of AI strategies in the wake of the COVID-19 pandemic.

The Future Starts Now – Achieving Successful Operation of ML & AI-Driven Applications

Operationalizing AI and ML has become an unavoidable need in business, as various industries heavily rely on large volumes of real-time data as input to automated decision-making processes to yield the best results. Use cases in the data science field have shown that ML models and AI have few tangible business benefits until they are operationalized. In this e-book, our friends over at MemSQL show us how to successfully deploy model-driven applications into production.

Building Powerful Enterprise AI Infrastructure: How to Design Enduring Infrastructure for AI

Our friends over at cloud-neutral colocation data center company Interxion have published a whitepaper titled, “Building Powerful Enterprise AI Infrastructure: How to design enduring infrastructure for AI,” which details the requirements of an ideal infrastructure environment when it comes to reaping the benefits of today’s growing volume of data and enabling AI at scale. By automating repetitive processes, delivering new strategic insights, and accelerating innovation, AI has the power to revolutionize business.

Everything You Need to Know about Customer Data Platform (CDP)

This whitepaper by HGS Digital on Customer Data Platform Vendor Evaluation provides a detailed look at the 10 broad areas and what questions organizations should ask vendors while evaluating the CDP vendors.

New Study Details Importance of TCO for HPC Storage Buyers

Total cost of ownership (TCO) now rivals performance as a top criterion for purchasing high-performance computing (HPC) storage systems, according to an independent study published by Hyperion Research. The report, commissioned by our friends over at Panasas®, a leader in HPC data storage solutions, surveyed data center planners and managers, storage system managers, purchasing decision-makers and key influencers, as well as users of HPC storage systems.

Enterprise Search in 2025

This white paper by enterprise search specialists Lucidworks, discusses how data is eating the world and search is the key to finding the data you need. The enterprise search industry is consolidating and moving to technologies built around Lucene and Solr. In the next few years we’ll see nearly all search become voice, conversational, and predictive. Search will surround everything we do and the right combination of signal capture, machine learning, and rules are essential to making that work. Fortunately, much of the technology to drive this is available to us today!

The Four Stages of the Data Journey (and how to get ahead)

Where is your organization on the data journey? Most of us are steadily moving toward the cloud, with most businesses planning to migrate to the cloud or expand their cloud footprint within a few years. But how do you get where you want to go? In this new whitepaper, our friends over at Matillion, the cloud-native platform for all your data integration, take a look at the different stages of the end-to-end journey and learn what it takes to get to the next level.

The Essential Guide: Machine Scheduling for AI Workloads on GPUs

This white paper by Run:AI (virtualization and acceleration layer for deep learning) addresses the challenges of expensive and limited compute resources and identifies solutions for optimization of resources, applying concepts from the world of virtualization, High-Performance Computing (HPC), and distributed computing to deep learning.

NVIDIA’s New Data Science Workstation— a Review and Benchmark

This new whitepaper from NVIDIA Partner firm PNY Technologies, tests and reviews the recently released Data Science Workstation, a PC that puts together all the Data Science hardware and software into one nice package. The workstation is a total powerhouse machine, packed with all the computing power—and software—that’s great for plowing through data.

Report Reveals Business-Critical Cloud Adoption for Analytics and AI on the Rise, Yet Challenges Remain

Trifacta, a leader in data preparation and data wrangling, released its “Obstacles to AI & Analytics Adoption in the Cloud” report, which reveals inefficiencies that are hindering analytics and artificial intelligence (AI) adoption in the cloud. The research, which surveyed 646 data professionals across different industries and titles, examines how organizations are handling the increased move of data to the cloud, the obstacles facing data cleaning and analytics and the time constraints endured when preparing data for analytics, AI and machine learning (ML) initiatives.