How is the dilemma between AI and EQ impacting the hospitality industry? Why has AutoML has become such an important digital workplace technology? How are organizations taking AI and data science from pilot to production? And lastly, how is government navigating the evolution of AI/ML?
The Dilemma between Artificial Intelligence (AI) & Emotional Intelligence (EQ) in the Hospitality Industry!
By Jefrey Walter, contributing writer for Hospitalitynet.org
In recent years, technological advancements have driven and manipulated the hospitality industry. Moreover, due to the COVID -19 pandemic, technology has evolved quickly like never before from virtual events to high-end robots. However, there is a humongous dilemma between AI & EQ in hospitality because the industry is all about “PEOPLE”.
Why AutoML Is Emerging as a Key Digital Workplace Technology
By David Roe, contributing writer for CMSwire.com
Over the past year there has been a great deal of talk about both automation and machine learning (ML). However, it has become increasingly common to see the two together particularly in the form of automated machine learning, or AutoML.
Scaling AI and data science – 10 smart ways to move from pilot to production
By Venture Beat Staff, contributing writers for Venturebeat.com
“Fantastic! How fast can we scale?” Perhaps you’ve been fortunate enough to hear or ask that question about a new AI project in your organization. Or maybe an initial AI initiative has already reached production, but others are needed — quickly.
What the evolution of AI/ML means for government IT
By Aaron Kilinski, contributing writer for GCN.com
As recently as five years ago using artificial intelligence and machine learning to develop predictive algorithms was prohibitively expensive. Government agencies needed to provision large clusters of servers, implement Hadoop and data lakes and employ hundreds of data scientists. But now access to AI and ML has been democratized due to furious competition among the three largest cloud service providers: Microsoft Azure, Amazon Web Services and Google Cloud Platform.
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