According to the Price Waterhouse Cooper 2018 Global Economic Crime and Fraud Survey, the reported rate of economic crime is on the rise, up to 49% in 2018. That makes the use case I want to share particularly relevant, no matter what industry or sector you're in. This use case
I suffer from arthritis. You can tell just by watching me walk: Depending on the day, I have a slight limp, which varies in severity based on a number of factors such as the time of day and recent physical activity. Years of treatment for my condition have shown me
The startup ecosystem is dynamic and the flow of venture capital into tech is at an all-time high. Billions of dollars are invested in tech startups every year. Many tech startups market themselves as ‘powered by AI’ and pitch investors with buzzword laden phrases such as, ‘we leverage state of
How do you explain flat-line forecasts to senior management? Or, do you just make manual overrides to adjust the forecast? When there is no detectable trend or seasonality associated with your demand history, or something has disrupted the trend and/or seasonality, simple time series methods (i.e. naïve and simple
To say Michio Kaku is smart is an understatement. For a science fair in high school, he built a particle accelerator made of 400 pounds of scrap metal. Have you ever watched the TV show, The Big Bang Theory? Sheldon and Leonard support string theory research on the show. Kaku
Artificial intelligence is the attention-grabbing, overhyped, shiny object that every organization is searching to make use of. Yes, it is overhyped, but it’s also very real and very powerful. “We do not want to add to the hype. We do not want to add to the confusion. We want to
A record-breaking crowd of more than 5,500 analytics enthusiasts received a Texas-sized welcome from CEO Jim Goodnight as he opened SAS® Global Forum 2019. This is the fourth time the forum has been held in Dallas, and this year, the evening started with a look back at one of the
"Practical AI" might seem like an oxymoron to some. But that’s only if you view artificial intelligence as a futuristic and unrealistic pursuit. Kirk Borne, PhD, decidedly does not. Borne is the Principal Data Scientist and an Executive Advisor at global technology and consulting firm Booz Allen Hamilton. In this
At the risk of oversimplifying, I think of artificial intelligence as what becomes possible after you’ve fully embraced analytics and you’re starting to get bolder about how to use it. Your models are getting better, your predictions are more accurate, your results are stronger and over all, confidence grows in
There's been a lot of hype regarding using machine learning (ML) for demand forecasting, and rightfully so, given the advancements in data collection, storage, and processing along with improvements in technology. There's no reason why machine learning can't be utilized as another forecasting method among the collection of forecasting methods
