Combining High and Low-Code to Deliver Impactful Predictive Analytics

In this white paper, we will explore how GlobalTranz leveraged its inherent technology skills  along with technology partnerships including Microsoft and West Monroe, a national business  and technology consulting firm, to effectively insert a user interface (UI) facilitating  human oversight of machine generated predictive pricing through a creative and resource- efficient use of both high and low-code approaches.

The State of Data Management – Why Data Warehouse Projects Fail

Based on new research commissioned by SnapLogic and conducted by Vanson Bourne, who  surveyed 500 IT Decision Makers (ITDMs) at medium and large enterprises across the US and  UK, this whitepaper explores the data management challenges organizations are facing, the  vital role data warehouses play, and the road to success.

The Impact of Data Science On Customer Intelligence, Space Strategy and Supply Chain Optimization

In a new white paper recently released, 84.51° explains how this innovative data science has become embedded- specifically in three of its missions: Customer Intelligence, Space Strategy and Supply Chain Optimization. 

Interview: Global Technology Leader PNY

The following whitepaper download is a reprint of the recent interview with our friends over at PNY to discuss a variety of topics affecting data scientists conducting work on big data problem domains including how “Big Data” is becoming increasingly accessible with big clusters with disk-based databases, small clusters with in-memory data, single systems with in-CPU-memory data, and single systems with in-GPU-memory data. Answering our inquiries were: Bojan Tunguz, Senior System Software Engineer, NVIDIA and Carl Flygare, NVIDIA Quadro Product Marketing Manager, PNY.

A Comprehensive Guide to Evaluating Customer Data Platforms (CDPs)

This white paper by our friends over at HGS Digital aims to help you evaluate Customer Data Platform (CDP) vendors on various key areas. Investing in a CDP should be done with a long-term aim – various systems from which the data is imported and systems to which data is  exported may change over time, but the CDP becomes the master repository of data and should be leveraged by the marketing organization for a very long time.

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.

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) is often assumed to be an important consideration for buyers of HPC storage systems. Because TCO is defined differently by HPC users, it’s difficult to make comparisons based on a predefined set of attributes. With this fact in mind, our friends over at Panasas commissioned Hyperion Research to conduct a worldwide study that asked HPC storage buyers about the importance of TCO in general, and about specific TCO components that have been mentioned frequently in the past two years by HPC storage buyers.

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.