Overcoming the Top Four Challenges of Enterprise-Scale Machine Learning

As businesses use machine learning across more areas of their business to make informed decisions, we see them facing four significant challenges:  Increasing agility to launch machine learning capabilities more quickly to meet a range of business needs, from inventory optimization to fraud detection. Minimizing the cost of delivering business intelligence and machine learning in […]

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GUEST POST

Here’s What We Need to Know to Stop the Pandemic (Part 4)

As an advisory board member for the Pandemic Response Challenge launched by Cognizant and XPRIZE, I’m all too aware of the complexities involved with accurately predicting how policy interventions will change the trajectory of COVID-19. There’s so much data that needs to be considered to accurately make these predictions, and that data can be hard […]

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AI & Data: Our Best Hope for Infectious Disease Prevention, Treatment, Mitigation & Cures

Great challenges require great tools. And in a world where a virus such as SARS-CoV-2 has had a huge global impact in just a matter of months, its complexity and speed require new methods for finding solutions. Advanced forms of artificial intelligence (AI) are already playing a critical role in our pandemic-fighting efforts, and they’re […]

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The Technology Rx to Tame the Virus Monster

The science fiction of yesterday seems like it’s becoming science fact today. Fans of Netflix’s Stranger Things will recall the Shadow Monster, who intended to kill everything and everyone on Earth by spreading a virus via humans. Sadly, as the ever-increasing incidents of pandemics over the last decade have shown, narratives such as the Shadow […]

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Learning from a Day in the Life of a Data Scientist

A bank turned to one of its data scientists to predict the risk of customers missing their next collections payment, with the goal of reducing bad debt. The data scientist was fortunate enough to have access to a comprehensive data mart containing data across many dimensions – including customers, product holdings, transactions and collections activity. […]

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