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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.

SpotIQ AI-Driven Analytics: Architecting Automated Insights for the Masses

SpotIQ AI-driven analytics automatically uncover answers to questions business people may not have known to ask. Powering SpotIQ is a new breed of analytics architecture and in-memory calculation engine that was built from the ground up for speed at scale on billions of rows of data across multiple data sources. Download the new white paper, courtesy of ThoughtSpot, that explores how with SpotIQ AI-drive analytics, you now have the power of a thousand analysts in your hand.

Advanced Analytics: Moving Toward AI, Machine Learning, and Natural Language Processing

There is a lot of excitement in the market about artificial intelligence (AI), machine learning (ML), and natural language processing (NLP). Overall, one thing is clear—organizations that are utilizing these technologies now are gaining value. Download the new TDWI Best Practices Report, courtesy of SAS, to learn more about the latest innovations in advanced analytics. 

2018 State of Embedded Analytics Report

The 2018 State of Embedded Analytics Report by Logi Analytics explores the top benefits of embedded analytics, the latest trends, advantages of different development methods, and what the future of analytics looks like. Logi surveyed more than 500 people who shared their perspectives on how they are embedding analytic capabilities to meet ever-changing market needs. […]

Solving the Contract Analytics Imperative: Technology, People and Process

In financial services, contracts often exist in highly dispersed formats, with jurisdictional complexities and risk aspects that change over time—resulting in high levels of risk. Download the new white paper from ADLIB to earn how to transform contracts into actionable, defensible assets with a robust contract intelligence solution.

Operationalizing and Embedding Analytics for Action

As the pace of business continues to accelerate, forward-looking organizations are beginning to realize that it is not enough to analyze their data; they must also take action on it. To do this, more businesses are beginning to systematically operationalize their analytics as part of a business process. Download a new TDWI Best Practices Report from SAS that focuses on how organizations can and are operationalizing and embedding analytics to derive business value.

AI, Analytics and the Future of Your Enterprise

Tapping into the power of big data and analytics can be daunting. Download a new white paper from Pure Storage that explores how to jump into the world of big data and emerging AI technology, and take advantage of its benefits. The company’s research of emerging trends revealed three challenges of big data, and opportunities therein.

The Analyst of the Future – How to Choose Your Own Adventure for Data and Business Analysts

Chances are, if you’re reading this, you have a title like “Data Analyst,” “Business Intelligence Analyst,” or “Business Analyst.” You might not have the same responsibilities as someone else with your title – even the person sitting next to you at work – but your basic mission is the same: generate insights for your organization, […]

How to Choose Your Own Adventure for Business and Data Analysts

For business and data analysts, the future is full of unknowns. The good news is that their in a great position to steer the evolution of their roles in this new era of big and fast data. Download the new guidebook from Dataiku that explores the different roles of today’s business and data analysts, as well as trends and what lies ahead for these professionals.

Parallel File System Delivers Better Strategies, Faster

A parallel file system offers several advantages over a single direct attached file system. By using fast, scalable, external disk systems with massively parallel access to data, researchers can perform analysis against much larger datasets than they can by batching large datasets through memory. To Learn More about the Parallel File Systems download this guide