Artificial Intelligence

Advanced Analytics | Analytics | Artificial Intelligence | Cloud | Learn SAS | Machine Learning | SAS Events
Charlie Chase 0
Solving 3 emerging challenges for retail and consumer goods supply chains

The landscape of supply chains has changed rapidly due to unforeseen disruptions.  These changes include supply chain bottlenecks, inflation and geopolitical activities across retail and consumer goods industries. Retail supply chains are under immense pressure to keep up with these rapid changes. Innovators have been quick to take advantage of

Analytics | Artificial Intelligence | Data for Good
Josh Morgan 0
Supporting mental health with data and analytics through improved education policy

All students need hope at varying levels to graduate, especially those needing mental health support. Many students are still reacclimating to life after two years of COVID disruptions, on top of the usual anxiety that comes with beginning a new phase of life. New and unfamiliar surroundings, increased pressure of

Advanced Analytics | Analytics | Artificial Intelligence | Cloud
Charlie Chase 0
6 ways retailers can rebalance inventories as consumers shift spending

Consumers are pulling back and shifting their purchases in the wake of inflationary pressures caused by high prices for fuel, freight costs, consumer goods and nonessential products. Demand is shifting faster than many retailers and consumer goods companies anticipated. Inflation continues to rise forcing consumer spending to shift once again

Artificial Intelligence | Data for Good | Learn SAS
Reggie Townsend 1
Next generation of responsible AI innovators tackle real-world challenges with AI4ALL and SAS

As head of the SAS Data Ethics Practice, I spend a lot of time contemplating the social implications of AI. Considering its benefits like augmenting medical decisions and pitfalls, making decisions based on biased data results in dire consequences for patients. Such implications have the potential to impact society in a variety

Advanced Analytics | Artificial Intelligence | Data Visualization | Machine Learning
Jessica Curtis 0
How to cultivate trust in analytical models and improve forecast adoption

Often the biggest challenge when implementing a successful forecasting process has nothing to do with the analytics. Forecast adoption – incorporating forecasts into decision-making – is just as high a hurdle to overcome as the models themselves. Forecasting is more than analytical models Developing a forecasting process typically begins with

1 20 21 22 23 24 34