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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.

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 […]

Future of Data Talent Report

Correlation One released its Future of Data Talent Report, which helps organizations: Define a framework to identify the most important data workflows and roles. Establish a standard assessment methodology for accurately and efficiently evaluate data skills when hiring.

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.

Combining the Benefits of SAS and Open Source Analytics

As we think about the entire analytics life cycle, it’s important to consider data preparation, deployment, performance, scalability and governance, in addition to algorithms. Download the new e-book explores how organizations are using open source analytics and SAS, and what role SAS plays throughout the analytics life cycle.

IT Holds the Key to a Modern Analytics-Driven Organization

Today, organizations must apply a consistent analytic vision across all functions to identify insights more quickly in a scalable capacity, providing faster responses for business advancement. Download the new white paper from SAS to explore how IT is the key to today’s analytics-driven organizations. 

3 Reasons to Consider Text Mining

A growing number of life science companies use text mining to gather important insights from vast amounts of published information. The results of mining projects inform a wide range of business activities including drug discovery, drug interactions, clinical trial development, drug safety monitoring and competitive intelligence. Download the new Copyright Clearance Center white paper that covers three of the top reasons to consider implementing text mining for life sciences companies.