
Our customers confirmed that it really does not matter to them whether the selection of goods, pricing or advertising are chosen by machine, or by a human buyer.
Our customers confirmed that it really does not matter to them whether the selection of goods, pricing or advertising are chosen by machine, or by a human buyer.
Customer experience is a team sport - insurance industry claims processing
Analytics makes it possible to uncover complex or organized fraud that rules-based systems would miss.
And as survey fatigue kicks in, challenges in customer satisfaction and NPS scoring abound: will data be still representative or will it become increasingly biased?
As AVT expands into domain specific topics, the shape of the programme will evolve. I am looking forward to seeing what the next cohort of participants will choose to love about AVT.
I caught up with Jaimy van Dijk, one of our youngest female SAS Data Scientists who has proven herself to be a true Rockstar.
Companies face a stark choice between optimising customer experience and minimising fraud. But what if they could do both?
Banking and Financial, this industry has been on the edge investing in anti-fraud technology, anti-money laundering technology, anti-cybercrime technology.
Last summer, I joined a growing trend: I took an online course on machine learning algorithms run by Stanford University.
Presence of machine learning is a complementary to human decision-making within the public sector.