Alyssa Farrell leads industry marketing for the SAS Global Health and Life Sciences Practice. In this role, she focuses on the SAS solutions that help optimize health outcomes for individuals and their communities. Alyssa is actively engaged in analyst relations, market research and influencer marketing to stay on top of industry trends and align SAS capabilities to customer needs. She has also supported the global energy and public sector teams during her career at SAS. Prior to joining SAS in 2004, Alyssa was a senior consultant in the Deloitte Public Sector practice. She earned her MBA degree with a concentration in Management Information Systems from the University of Arizona. She also holds a Bachelor of Arts degree with honors from Duke University. Follow Alyssa on Twitter @alyssa_farrell and LinkedIn at http://LinkedIn.com/in/alyssafarrell
Inequities in cancer care cause specific populations in the U.S. and worldwide to bear a more significant burden of disease than the general population, based upon barriers. These barriers to prevention and care have long existed but were undeniably exacerbated by the COVID-19 pandemic. February 4 marks World Cancer Day, which
Predictive models and medical image analysis have the potential to transform health care delivery. To accelerate innovative approaches in health analytics, teams around the world are participating in a global hackathon. In scientific communities, it's well-known that the fastest way to drive progress and discover new ideas is collaboration with
Fraud, waste and abuse (FWA) ravages the US health care system. Estimates from the National Health Care Anti-Fraud Association show fraud costs health care organizations $70 billion to $230 billion each year. The precise figure is unknowable because only 3 to 10% of this fraud is ever detected. With more
How can organizations be more resilient during an uncertain business and public health situation? Lessons learned from organizations at the front lines of crisis response reinforce the importance of good analytic governance. These leading organizations have shown us that the fundamentals of the analytic life cycle – data, discovery and
What do two health systems, 4000 miles apart (6600 kilometers) have in common in their COVID-19 response? Despite different policy responses to the pandemic, they are more alike than you might think. Brought together by SAS and the FutureNHS COVID-19 analytics huddle, these two health systems recently shared their experience
What’s that buzz on the power line? It’s AI, of course! But what is AIoT, you ask? It is applying artificial intelligence (AI) to data from smart devices connected by the Internet of Things (IoT). AI is the science of training systems to perform human tasks through learning and automation.
You’ve probably heard the stats about the number of internet-connected devices, which make up the Internet of Things (IoT). Most likely, you’re part of the narrative. We're all connected in new ways and through more devices than ever before. Sometimes IoT impacts our daily lives – safety sensors on cars,
Widespread flooding. Downed power lines. Broken poles. Failed transformers and breakers. Leaking pipes. Shut down refineries. The toll that a catastrophic storm takes on the energy value chain is significant. A functioning power grid, clean water and reliable fuel sources are critical for public safety and economic recovery. Even with
Utilities can save as much as $10 million a year for every one percent improvement in forecast accuracy by optimizing asset utilization and trading strategies. Changing energy markets and an influx of data from the smart grid are providing more opportunities to reap value from energy forecasting. Improving energy forecasts
Tell me if you’ve heard this before: Your company hired (or re-titled) a talented data scientist and they have great skills and no data. Or they're marginalized by IT because they're misunderstood. They're offered “cleansed” data that will fit into the hardware provisioned. What they want is “all” relevant data
