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SAS Announces $1 Billion Investment in AI at #GTC19

SAS, driving the future of analytics, is investing $1 billion in AI over the next three years through software innovation, education, expert services and more. The commitment builds on SAS’ already strong foundation in AI which includes advanced analytics, machine learning, deep learning, natural language processing (NLP) and computer vision. Educational programs and expert services will equip business leaders and data scientists for the future of AI, with the technology, skills and support they need to transform their organizations.

Executive Spotlight: Oliver Schabenberger, COO & CTO at SAS

The insideBIGDATA 2019 Executive Round Up features insights from industry executives with lengthy experience in the big data industry. Here’s a look at the insights from Oliver Schabenberger, COO & CTO at SAS who is focused on setting the technology direction for SAS and executes the company’s strategic direction and business priorities. He oversees multiple divisions within SAS, including R&D, Sales, Marketing, Information Technology and Customer Support, as well as divisions focused on solutions for IoT, financial risk management and cloud.

Combining the Benefits of Commercial & Open Analytics

A new e-book explores how organizations in many industries are using open source analytics and SAS, getting the most from both, and what role SAS plays throughout the analytics life cycle.

Improve Your Business with Modern Analytics Infrastructure

A new report from SAS explores how a modern analytics infrastructure and IT department can help you increase productivity, maintain the highest data quality through a standard data governance model, and make critical decisions faster and with more confidence.

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. 

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. 

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.

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.

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.