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Feb 15, 2019 | By Julia Gong
This is the second post in my series about a computer vision project I worked on at SAS. In my previous post, I talked about my initial research and excitement for the project. In this post, I’ll talk about how I refined my goals and got started with the project to segment liver tumors in 3D CT scans.
Feb 14, 2019 | By Michael Rabin
Some say that the insurance industry is a long, quiet river on which stately steamships cruise. Others say it is a shark tank where only the strongest survive. Which is right? The answer is both. The insurance market is clearly mature, with a limited scope of action for individual players. There is, however, no question that merciless predatory competition is taking place, probably precisely because of this saturation.
Feb 13, 2019 | By Dariusz Jańczuk
Modern customer intelligence systems give managers the ability to track key success factors. This means they can make better decisions about the allocation of physical and financial resources and improve strategic planning. This blog post builds on previous articles about how customer intelligence can support marketing and discusses its integration into a broader ecosystem.
Feb 12, 2019 | By Scott McCauley
Multi-tenancy is one of the exciting new capabilities of SAS Viya. Because it is so new, there is quite a lot of misinformation going around about it. I would like to offer you five key things to know about multi-tenancy before implementing a project using this new paradigm.
Feb 11, 2019 | By James Ochiai-Brown
Analytical models are created in a data lab or sandbox where they are refined and tested under controlled conditions. Once the model is sufficiently mature, it is released into the production environment, where it spends the second phase of its life processing full volumes of data on a daily basis for automated decisions at scale. At some point, the model may be returned to the data lab for re-evaluation and retuning, or perhaps retirement and replacement.
Jul 30, 2018 | By SAS Software
A multitude of “things” generate floods of big data – cars, wearables, machines and appliances. Wouldn’t you like to sift through that noise and become an organization that relies on data to make fact-based decisions? Learn about the three foundations of becoming data-driven – data management, analytics and visualization – and how they can increase profitability, boost performance, raise market share and improve operations.
Apr 20, 2018 | By SAS Software
Deep learning is a type of machine learning that trains a computer to perform humanlike tasks, such as recognizing speech, identifying images or making predictions. Instead of organizing data to run through predefined equations, deep learning sets up basic parameters about the data and trains the computer to learn on its own by recognizing patterns using many layers of processing.
Mar 27, 2018 | By SAS Software
Machine learning in the last few decades has given way to an AI revolution. As the amount of data produced continues to scale, use of algorithms enables faster computational understanding to create new opportunities for innovation. From self-driving cars to virtual assistants, the possibilities for these developing technologies are endless.
Mar 12, 2018 | By SAS Software
This report from the International Institute for Analytics explores the many business opportunities IoT presents, details its associated implementation challenges and describes how organizations can accelerate their progress so they don’t fall behind.
Feb 26, 2018 | By SAS Software
This paper examines how a unifying analytics platform can help your organization thrive in the analytics economy where the blending of data, analytics and collaboration will change the world.
Mar 11, 2019 | By SAS Software
This deep learning video explains what deep learning is and provides an intro to deep learning concepts. Watching this video is a good first step as you learn how to get started with deep learning in your organization.
Mar 1, 2019 | By SAS Software
Technology trends have converged to bring real-world applications of AI within reach of more organizations than ever before. SAS spoke with AI thought leaders Ajay Agarwal, Mike Gualtieri, Jodie Wallis and Shelby Austin to learn what they had to say about AI.
Feb 19, 2019 | By SAS Software
In this video, Beth Ebersole of SAS, demonstrates how to use SAS® Visual Analytics forecasting power to gain insight and predict future results using advanced what-if forecasting tasks, scenario analysis and goal seeking.
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