The quality of "judgment work" is poised to become a source of competitive advantage for the workforce of the future.

Christopher Crosbie is a Healthcare and Life Science Solutions Architect with Amazon Web Services. This post is co-authored by Gopal Wunnava, a Senior Consultant with AWS Professional Services. SparkR is an R package that allows you to integrate complex statistical analysis with large datasets. In this blog post, we introduce you running R with the Apache SparkR project on Amazon EMR. The diagram of SparkR below is provided as a reference, but this video provides an overview of what is depicted.

Intelligent machines are poised to dramatically shift management roles and recast the workforce of the future.

In 2012, Dennis Mortensen had 1,019 meetings, each of which required an average of roughly eight back-and-forth emails to schedule. Every time Mortensen comes across a contact interested in meeting with him, the CEO and founder of New York City-based artificial intelligence firm x.ai simply sends them a return email copying Amy, who takes care of the rest. "In raw numbers, I've saved about an hour every day -- an hour which I would otherwise have to use in really rudimentary work where I add not much value," Mortensen said of Amy's help scheduling meetings. Virtual assistants like Amy are becoming more common. Just as household technology platforms like Apple's "Siri" and Microsoft's "Cortana" has helped consumers navigate their lives more easily, other forms of rudimentary artificial intelligence platforms are starting to proliferate the market, many of them upending traditional business roles.

Twenty percent of CEOs indicated that cognitive is one of the top three areas they are devoting significant investment/resources to in the next 3 years. And nearly nine in ten (85 percent) are concerned with having to consider the integration of basic automated business processes with artificial intelligence and cognitive processes. We are just entering the fourth industrial revolution, and the speed of change is exponential. But are we ready for it? "It's in our nature to get fearful of what has never happened before," says Cliff Justice, Innovation and Enterprise Solutions Partner, KPMG in the US.

In 2012, Dennis Mortensen had 1,019 meetings, each of which required an average of roughly eight back-and-forth emails to schedule. Every time Mortensen comes across a contact interested in meeting with him, the CEO and founder of New York City-based artificial intelligence firm x.ai simply sends them a return email copying Amy, who takes care of the rest. "In raw numbers, I've saved about an hour every day -- an hour which I would otherwise have to use in really rudimentary work where I add not much value," Mortensen said of Amy's help scheduling meetings. Virtual assistants like Amy are becoming more common. Just as household technology platforms like Apple's "Siri" and Microsoft's "Cortana" has helped consumers navigate their lives more easily, other forms of rudimentary artificial intelligence platforms are starting to proliferate the market, many of them upending traditional business roles.

MUMBAI: Accenture has entered into a joint research collaboration with IIT Bombay and IIT Patna focused on the different application aspects of Artificial Intelligence. The research, focused on IT services and social good, will look at augmenting software engineers with powerful Artificial Intelligence insights and recommendation for improved productivity. The focus areas of the program includes research in natural language processing, machine learning, neural network, virtual agents, deep learning and other areas of artificial intelligence. It will include software analytics - building, testing, managing and modernization of applications, solving real life social issues such as malnutrition, human trafficking, climate, etc. through prediction and recommendation models, using Artificial Intelligence. "One of the major areas that the research will focus on is natural language processing," said Pushpak Bhattacharyya, director, IIT Patna.

MUMBAI: Accenture has entered into a joint research collaboration with IIT Bombay and IIT Patna focused on the different application aspects of Artificial Intelligence. The research, focused on IT services and social good, will look at augmenting software engineers with powerful Artificial Intelligence insights and recommendation for improved productivity. The focus areas of the program includes research in natural language processing, machine learning, neural network, virtual agents, deep learning and other areas of artificial intelligence. It will include software analytics - building, testing, managing and modernization of applications, solving real life social issues such as malnutrition, human trafficking, climate, etc. through prediction and recommendation models, using Artificial Intelligence. "One of the major areas that the research will focus on is natural language processing," said Pushpak Bhattacharyya, director, IIT Patna.

The focus areas of the program includes research in naturalDumb Blonde Stereotype Is Wrong: Study Finds No Link Between Hair Color And Intelligence. Read more ... » networkHow Harry Potter Is Contributing To Artificial Language Comprehension. Read more ... », virtualBoeing opens collaborative autonomous systems lab in Missouri. Read more ... » agentsInbenta Launches "Hybrid Chat" to integrate Human Live Chat with Artificial Intelligence. It will include software analytics – building, testing, managing and modernization of applicationsDeep learning.

Intro for this event: Come see examples of how today's large data collections are being tackled by data science and machine learning methods, thereby empowering a data-driven transformation in organizations and industries that is bringing about greater competitive intelligence, insights, and innovation. Speaker Bio: Dr. Kirk Borne is the Principal Data Scientist for NextGen Analytics and Data Science in the Strategic Innovation Group at Booz Allen Hamilton. He previously spent 12 years as Professor at George Mason University in the Computational and Data Sciences program. Before that, he worked 18 years on various NASA contracts, as research scientist and as manager on large data systems. He has a PhD in Astrophysics from Caltech.