@sasforums A2: People, data and processes are key to any organization. Analytics-driven automation helps get insights faster, but also requires people to acquire additional skills and adapt to new processes. #saschat#analytics#government
@sasforums A2: The constant change and #digitization has led to vast amounts of data in many formats. Additionally, personal data collection raises issues of consent, security, and potential misuse increasing the challenge for data scientists. #saschat#Analytics
A1: Some of the biggest challenges for data scientists today are addressing high data volumes and variety, ensuring data quality, and addressing ethical and privacy concerns. #SASchat#Analytics#ExploreSAS
A5: Agreed @DrJosh. In order to ensure #trustworthyAI, orgs need to take a closer look at their teams to ensure diversity. The human element is a big contributor to bias so orgs need to take a closer look at who isn’t represented on their teams. #saschat
A4: Bias starts at the data level. Organizations are employing data engineers and scientists with an increased emphasis to identify bias within the data. #saschat#ResponsibleAI
@sasforums A2: Trustworthy AI must include a consistent process and include checks to reduce discriminatory bias. Decisions made by AI should not be based on variables that are considered sensitive such as gender and age.#saschat#ResponsibleAI
@sasforums@sasforums A3: With large volumes and variety of data, it is tough for organizations to know where to start when it comes to #ResponsibleAI. Platforms such as #SAS can help with built in capabilities to identify bias. #saschat
Looking forward to a great discussion about #ResponsibleAI during this #saschat! My name is Sree and I lead our healthcare customer advisory team at SAS.
@sasforums A4: Improved outcomes! Enabling everyone in the organization to get familiar with the data helps #government agencies make better data driven decisions. #saschat#analytics#data
@JenBRobinson@sasforums A2: Absolutely! I think there is a large focus on open-source technologies at the moment, but the application of the technical skills in various industries such as #government and #healthcare is also a key focus in many programs! #saschat#analytics
@sasforums A1: Many graduates from Data Science/Computer Science/Analytics programs tend to favor jobs in the private sector due to more competitive salaries and greater opportunities for learning and growth. #saschat#government#analytics
@sasforums Hi everyone, Sree Vuthaluru here! I lead our Healthcare Customer Advisory team at SAS and I am excited to talk about #data democratization in the public and private sector during this #saschat!
#DataScience
@sasforums Great SASChat today! There is a plethora of data out there and through proactive analysis using advanced analytics, we can start to tackle issues in Supervised Populations, Human Trafficking, the Opioid Epidemic and many more such areas. #SASChat#PublicSafety
@mrTomSab@sasforums I absolutely agree with you Tom! Starting at a high level view and drilling down geo-spatially would provide insights to officers of different levels. Those that support the state vs the county can use the tools in different ways. #SASChat#PublicSafety
@sasforums A5: The industry knowledge of an officer combined with technical training in tools that analyze data through link analysis, interactive dashboards and models would be extremely valuable. #SASChat#PublicSafety
@mrTomSab@sasforums Agreed! Dashboards that are continuously updated with data provide a tremendous amount of value. Considering the amount of data collected in law enforcement, it is extremely difficult to find insights through raw data. Maps and other visuals are key! #SASChat#PublicSafety