Altair (Nasdaq: ALTR), a global leader in computational science and artificial intelligence (AI), paid and fully satisfied the 2019 North Carolina judgment SAS Institute obtained against recently acquired World Programming (WPL), a UK-based technology company that specializes in data analytics software. Shortly thereafter on March 3, 2022, the North Carolina court lifted the injunction that had previously prevented WPL from licensing its solutions to new customers in the United States. Altair can now license WPL solutions to customers in the United States and around the world.
Data Scientists Reveal Roadblocks to Digital Transformation
Digital transformation has accelerated significantly due to the COVID-19 pandemic, but the extra demands on data scientists have revealed significant barriers to effective working and high levels of job dissatisfaction in some areas. For example, around four in 10 are dissatisfied with their company’s use of analytics and model deployment, while more than 20 barriers to effective working emerged, according to a survey of data scientists commissioned by analytics leader SAS.
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 insideAI News 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.