SAS

sas

The modern actuarial office: Why AI and speed will generate sales in the future

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.

sas

Customer intelligence as part of a wider ecosystem

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.

sas

How is an analytical model like a wild salmon?

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.

sas

An unexpected weapon in the fight against the opioid epidemic: Graduate students

Each day, more than 130 Americans die from opioid overdoses. Combating the opioid epidemic begins with understanding it, and that begins with data. SAS recently partnered with graduate students from Carnegie Mellon University (CMU) 's Heinz College of Information Systems and Public Policy to understand how data mining and machine learning capabilities can be used to generate insights from public Medicare data, both structured and unstructured (i.e. text data).