Abi Griffiths

@sasforums A1: One of the biggest challenges in my experience is getting buy-in from the business. It's difficult to demonstrate the value of investing in data science, without investing in data science! #SASchat #datascience

Q1: What are the biggest challenges facing #datascientists today? #SASchat #Analytics #ExploreSAS

@TrentPelham @sasforums Great points - I think we should also factor in how the cost of outsourcing for high-end data science skills compares to investing in more use-friendly software? #saschat #government #datascience

@sasforums A5. #AI tools are becoming more user-friendly lessening the required high-end data science skill sets. Outsourcing for theses skill sets must also be considered. It’s hard for governments to complete with the private sector for employees. #saschat #government #fraud #AI

Q5: What options can governments use to navigate #datascience skills shortages? #SASchat #Fraud

@TeyaDyan @sasforums I agree - business rules can be effective at first but they quickly become out of date! That's where #analytics comes in to help us keep up with the #fraudsters #saschat #government

@abi_grif @sasforums Business rules are a good start but fall short of being effective. Robust #analytics are imperative to truly understand the #data and make #betterdecisions. #SASchat #AI #fraud #government

Q2: What technologies are being used to minimize #fraud, waste and abuse? #SASchat #AI

@sasforums A5. Creating space for employees to upskill in new areas. This requires commitment to creating the time for employees to complete training (also requires investment) & explore new techniques without having to deliver something yesterday. #saschat #government

@sasforums A5. Making point and click tools available & creating space for tasks to be automated will free up the time of data scientist, allowing them to focus on exploring advanced #AI for #fraud detection. #saschat #government

@sasforums A4. I think its important to consider the perception of #fraud amongst citizens. For example, take the Bounce Back Loan scheme that was implemented in the UK during #covid – why do people think it was ok to abuse this scheme and take money from tax payers? #saschat #government

Q4: How do we prevent #AI hacking compromising automated services provided to citizens? #SASchat #Fraud

@sasforums A4. We need to drive proactive identification rather than being in the reactive space. #AI implemented properly can prevent fraud entering systems, rather than focusing on detection and leaving organisations with unrecoverable fraud debts #saschat #government #fraud

@sasforums A3. The next biggest challenge is obtaining data on known #fraud cases to use as labels in #machinelearning It’s important to deal with this early on as being able to learn from known frauds & implement a constant feedback loop is key to the success of #AI #saschat #government

Q3: How can governments deploy #AI most effectively to prosecute fraudsters and recover funds? #SASchat #Fraud

@sasforums A3. In my experience the biggest challenge is changing the belief that fraud is not a problem. It's difficult to respond to something you can't identify and developing AI methods can take too long for leaders to continue the investment #saschat #government #fraud

@sasforums A2. Organisations are increasingly exploring more advanced technique such as Network Analytics to uncover complicated links within their customer base. #saschat #government #fraud

@sasforums A1. It's important to protect public funds and ensure that tax-payer money is going to good use. It's also important for reputation and ensuring that the public have trust in the government. #saschat #government #fraud

Q1: Why do governments need to increase their attention on #fraud prevention? #SASchat

@sasforums Hi everyone! I’m joining #saschat from the UK – I’m part of @SASsoftware Customer Advisory team but have previously led data science teams in UK #government departments to build #fraud detection models

Hello and welcome to our chat - please introduce yourself and don't forget to use #SASchat and #Fraud in all your tweets to be a part of the conversation.

Week 10: things got busy pretty quickly, but it's been good to get experience supporting customers with their analytics challenges. Feeling settled into SAS now, so keep an eye on updates from @SASSoftware & tune into #SASChat for weekly discussions on topics of interest

Week 9: Taken a step back & feeling a bit calmer. Recognising a pattern to life at SAS; I find out more about something, then realise I have more questions—but that’s good. Staying curious and continuous learning are both essential. #SASLife

After 10+ years in the public sector, I joined SAS Software at the end of 2022. I’ve spent most of the last decade analysing data for the public good - I hope to continue this but from a different angle. Here’s a thread about my learning curve in SAS. #government #SASLife

@sasforums A3: enables quick & effective exploratory analysis to easily identify problems/patterns within the data. Also useful to test a new idea instead of investing a lot of development time into writing code but not achieving desired results or any business value #saschat #analytics

Q3: How do no/low-code platforms help teams become more productive? #SASchat #analytics

@sasforums A2: 1. resource savings 2. reduce carbon footprint of running on the cloud 3. to save keyboard trauma from frustrated data scientists #saschat

Q2: Why is processing speed important when running #analytics in the #cloud? #SASChat