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Machine Learning

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Advanced Analytics | Analytics | Artificial Intelligence | Machine Learning

Charlie ChaseJune 11, 2020 0

Rapid demand response forecasting helps retailers adapt during COVID-19

Rapid demand response forecasting techniques are forecasting processes that can incorporate key information quickly enough to act upon in real time by agile supply chains. Retailers and consumer goods suppliers are urgently trying to determine how changes in consumer behavior will affect their regions, channels, categories, brands and products during

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Manufacturing | Retail

Analytics | Artificial Intelligence | Machine Learning | SAS Events | Students & Educators

Jelena StankovicJanuary 29, 2020 1

Data science gives you power to change the world

Meet Stefan Stoyanov. He’s an MSc Business Analytics student with a passion for emerging technologies, ranging from artificial intelligence to augmented and virtual reality.

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Artificial Intelligence | Machine Learning

Claudio BroggioJanuary 20, 2020 0

Protecting your intellectual property in the brave new world of AI and machine learning

AI innovations range from unique modelling techniques and computer vision efforts to medical diagnostic tools and self-driving cars. Within that wide range of technology, what should you consider patenting? Which of your discoveries are true intellectual property that necessitate protection? A little thought upfront could help you to know what

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Advanced Analytics | Machine Learning

Tim ClarkAugust 19, 2019 0

Can the artificial intelligence of things make the supply chain intelligent?

As you will have read in my last blog, businesses are demanding better outcomes, and through IoT initiatives big data is only getting bigger. This presents a clear opportunity for organisations to start thinking seriously about how to leverage analytics with their other investments. Demands on supply chains have also

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Hospitality | Life Sciences | Manufacturing | Retail

Advanced Analytics | Analytics | Artificial Intelligence | Machine Learning

Charlie ChaseJuly 24, 2019 0

How do I explain a flat-line forecast to senior management?

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

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Manufacturing | Retail

Analytics | Artificial Intelligence | Machine Learning

Shannon HeathApril 29, 2019 0

Bringing AI, ML and analytics to life - SAS Global Forum Tech Connection

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

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Advanced Analytics | Analytics | Data Visualization | Machine Learning

Melanie CareyApril 8, 2019 0

Love at first sight: authentic or absurd?

Have you ever wondered if love at first sight really exists? And if it exists, what qualities are people drawn too? Watch any romantic comedy and you’ll see this phenomenon play out on the big screen. Which begs the question, “If it can happen to them why not me?” Let’s

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Analytics | Machine Learning

David TareenApril 3, 2019 0

Malignant or benign? Cancer detection with SAS Viya and NVIDIA GPUs

According to the World Cancer Research Fund, Breast cancer is one of the most common cancers worldwide, with 12.3% of new cancer patients in 2018 suffering from breast cancer. Early detection can significantly improve treatment value, however, the interpretation of cancer images heavily depends on the experience of doctors and technicians. The

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Health Care

Analytics | Artificial Intelligence | Machine Learning

Charlie ChaseApril 2, 2019 0

Is machine learning practical for statistical forecasting?

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

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Manufacturing | Retail

Analytics | Artificial Intelligence | Internet of Things | Machine Learning

Charlie ChaseFebruary 19, 2019 0

Practical approaches to new product forecasting using structured and unstructured data

When it comes to forecasting new product launches, executives say that it's a frustrating, almost futile, effort. The reason? Minimal data, limited analytic capabilities and a general uncertainty surrounding a new product launch. Not to mention the ever-changing marketplace. Nevertheless, companies cannot disregard the need for a new product forecast

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Manufacturing | Retail

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