Sign up for our newsletter and get the latest big data news and analysis.

The Enterprise AI Promise: Path to Value

This interview survey from SAS explores enterprise readiness for artificial intelligence (AI). Respondents came from across EMEA and from a number of industries and sectors. Their views on enterprise AI and their organizations’ levels of readiness were diverse. Download the report, courtesy of SAS, that explores how enterprise AI can make companies more profitable and efficient, as well as study results that shows enterprise readiness to accept and adopt AI.

Top 4 Misconceptions About Text Mining

Text mining is the ultimate solution for large-scale research. Part mega search engine, part smart data, text mining takes unstructured text, breaks it down into smaller chunks, and helps researchers interpret meaning. Check out the e-book from the Copyright Clearance Center that covers four misconceptions about text mining, as well as the “reality” of each of these situations. 

Statistics and Machine Learning at Scale: New Technologies Apply Machine Learning to Big Data

In a new white paper, based on presentations given over the last few years. Wayne Thompson, Manager of Data Science Technologies at SAS, introduces key machine learning concepts, explains the correlation between statistics and machine learning, and describes SAS solutions that enable machine learning at scale. Download the report to lean more about how new machine learning technologies are being applied to big data.

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.

Reinventing the Retail Industry Through Machine and Deep Learning

Today, deep learning techniques are poised to disrupt the retail industry. As artificial neural networks become more and more efficient, and as graphics processing units get more and more powerful, so does their influence on retail. Download the new insideBIGDATA special report, courtesy of Dell and NIVIDA, to learn more about how machine and deep learning is revolutionizing the retail industry. 

Exploring the Convergence of AI, Data and HPC

The demand for performant and scalable AI solutions has stimulated a convergence of science, algorithm development, and affordable technologies to create a software ecosystem designed to support the data scientist. A special insideHPC report explores how HPC and the data driven AI communities are converging as they are arguably running the same types of data and compute intensive workloads on HPC hardware, be it on a leadership class supercomputer, small institutional cluster, or in the cloud.

Special Report: AI-HPC is Happening Now

HPC and the data driven AI communities are converging as they are arguably running the same types of data and compute intensive workloads on HPC hardware, be it on a leadership class supercomputer, small institutional cluster, or in the cloud. Download the insideHPC Special Report, brought to you by Intel, to learn more about AI-HPC and how today’s businesses are using this technology.

Best Practices Report: The Power of Operationalized Analytics

The pace of business continues to increase. And the power of big data and analytics is growing. But it’s not enough to just analyze this data anymore. According to a new TDWI Best Practices Report, sponsored by SAS, businesses also need to take action on this data. Read on to find out how businesses can better operationalize their analytics and derive value from their data. 

Business Analytics are Helping Companies Push the Envelope & Drive Innovation

These days, data and business analytics are the catalysts allowing many companies to push the envelope. A new MITSloan Management Review Research Report, sponsored by SAS, explores analytics as a source of business innovation, as well as how this increased ability to innovate is benefitting a spectrum of industries.

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.