Artificial Intelligence

President Donald Trump proposed a big increase in government spending on artificial intelligence and quantum computing while slashing funding of other scientific research.

The financial services industry is using machine learning to revolutionize its processes and rapidly improve financial outcomes, and its potential seems limitless. That’s why the University of Delaware’sInstitute for Financial Services Analytics (IFSA) brought together leading minds in industry and academia for its 2019 conference “Machine Learning in Financial Services,” hoping to create a dialogue and in which both can learn from each other and explore this potential.

Dean of the Heinz College of Information Systems and Public Policy Ramayya Krishnan talks about artificial intelligence and operational research.

All around us, the AI race is moving fast – cars and games, the sharing economy platforms, disaster recovery, Alexa and Siri, fake news and social media, fraud detection; the list goes on and on. Krishnan will discuss how AI is already impacting our lives and expanding every day. Yet there is little awareness that the field of operations research and analytics contributes in foundational ways to the success of AI and its application.

Chatbots can match the performance of proficient human salespeople—or outperform inexperienced ones fourfold—but only when customers are unaware they are conversing with artificial intelligence.

AI is proving itself superior to human intelligence in an expanding number of fields. That is, except when people know AI is being used.

Recent surveys, studies, forecasts and other quantitative assessments of the progress of AI, highlighted among other findings, disagreements about the impact of chatbots: Do purchase rates go down when people find out they are interacting with a chatbot? Or do chatbots actually increase customer satisfaction and loyalty? And are chatbots already successful in replacing human workers?

The promise of artificial intelligence (AI) improving our lives is enormous. In less than a quarter of a century, the Internet has grown from niche curiosity to a modern necessity for much of the world. Interpersonal communication has never been easier and social media has profoundly changed how people interact. This same technology that allows for a more efficient and communicative modern life also puts public and personal information at risk and creates new anxieties among the public and policymakers. These heightened concerns should not be a hinderance to the furtherance of technology, but rather, they should serve as a catalyst for necessary reflection and planning. To fully realize the benefits of these technologies, organizational goals must align with defined ethical values and the public interest.

From Sephora to Amazon to Dominos Pizza – major companies have employed chatbots to interact with millions of customers from around the world.

These artificial intelligent systems have been found to outsell human employees by four times and at almost zero marginal costs.

Big Data Analytics and Artificial Intelligence have moved from emerging technologies to become core tools in organizations today. These technologies enable enterprises to dive deeper into ever-growing volume of data to solve multifaceted business problems. In an interview with Analytics Insight, Melissa Bowers, PhD, Director of the Master’s in Business Analytics (MSBA) program at the Haslam College of Business, the University of Tennessee, Knoxville shares how the college offers a cutting-edge business analytics program to train the next generation of data scientists for today’s forward-thinking organizations.

Given the scale of the world’s food supply, there aren’t many industries that lend themselves to the power of data science and analytics than agriculture. This is the thinking behind a new research paper from a group of data scientists who make a case for finding new ways to use blockchain, AI and API management to enable “smart agriculture.”  The paper, “Agricultural Digital Transformation,” has been published in the OR/MS Today journal from the Institute for Operations Research and the Management Sciences (INFORMS).