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2019 Data Decisions Report by Exasol

Our friends over at Exasol recently released the findings of a survey that asked over 1,000 IT decision makers across the US about how their organizations use data to make critical business decisions, and the obstacles that stand in their way. The 2019 Data Decisions Survey found – among other things – that 57% of […]

insideBIGDATA Guide to Optimized Storage for AI and Deep Learning Workloads

This new technology guide from DDN shows how optimized storage has a unique opportunity to become much more than a siloed repository for the deluge of data constantly generated in today’s hyper-connected world, but rather a platform that shares and delivers data to create competitive business value. The intended audience for this important new technology guide includes enterprise thought leaders (CIOs, director level IT, etc.), along with data scientists and data engineers who are a seeking guidance in terms of infrastructure for AI and DL in terms of specialized hardware. The emphasis of the guide is “real world” applications, workloads, and present day challenges.

AI in the Enterprise: Trends & Insights on Vendor Selection and Implementation

A new report was released by our friend over at Leverton, a data extraction startup recently acquired by MRI Solutions, titled “AI in the Enterprise: Trends & Insights on Vendor Selection and Implementation.” The report lends insight into the experiences and preferences of “leaders,” “lookers,” and “laggards” (defined below) when it comes to AI deployment.

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

This new white paper from Striim, “Streaming Cloud Integration: Key Data Considerations for Hybrid and Multicloud Architectures,” is a timely guide for enterprise decision makers who have accepted the benefits of moving to the cloud: elastic scalability, agility to launch innovative solutions quickly using modern technologies, better cash flow management, and lower expenses with a pay-as-you-go model, just to name a few.

The Modern CMO: Advancing Marketing from Reactive to Predictive

CMOs have always been expected to predict the future. But, now they actually can. Today, emerging technology with artificial intelligence (AI) enables CMOs to see patterns and anticipate client needs at a scale and speed never before possible. Our friends over at Intapp recently released a new whitepaper on the topic, “The Modern CMO: Advancing […]

Making the Most of Your Investment in Hadoop

Hadoop is a popular enabler for big data. But with data volumes growing exponentially, analytics have become restricted and painfully slow, requiring arduous data preparation. Often, querying weeks, months, or years of data is simply infeasible. Download the whitepaper to learn how to deal with the exponential growth of data, reduce time spent on data preparation, and generate insights faster from ad-hoc queries of raw data.

Accelerating SQL and BI Analytics — Extending Analytical BI with a GPU Database

Organizations worldwide are facing the challenge of effectively analyzing their exponentially growing data stores. Download the new white paper from SQream DB that explores the features that make GPU databases ideal for BI and incorporates real-world use-cases from actual customer implementations. It also explains how you can turn your existing BI pipeline into a more capable, next-generation big data analytics system using powerful GPU technology. 

A Blueprint for Preparing Your Own Machine Learning Training Data

Download the new guide from Alegion that acts as a pre-flight checklist for data science teams that are contemplating preparing their own maching learning training data.

Four Real-Life Machine Learning Use Cases: A Databricks guide

Databricks Unified Analytics Platform is a cloud-service designed to provide you with ready-to-use clusters that can handle all analytics processes in one place, from data preparation to model building and serving, with virtually no limit so that you can scale resources as needed. Download the new guide that walks readers through four practical end-to-end Machine Learning use cases on Databricks.

Unified Analytics for Dummies: Accelerate AI Innovation

In this Databricks e-book, you not only discover how to avoid and overcome the most common challenges impacting AI success, but a new concept is also introduced. Download the new e-book that explores Unified Analytics, a concept that brings together solutions that unify data science and data engineering, making AI much more achievable for enterprise organizations and enabling them to accelerate their AI initiatives.