Poetry Generation involves teaching systems to automatically generate text that resembles poetic work. A deep learning system can learn to generate poetry on its own by training on a corpus of poems and modeling the particular style of language. In this paper, we propose taking an approach that fine-tunes GPT-2, a pre-trained language model, to our downstream task of poetry generation. We extend prior work on poetry generation by introducing creative elements. Specifically, we generate poems that express emotion and elicit the same in readers, and poems that use the language of dreams---called dream poetry. We are able to produce poems that correctly elicit the emotions of sadness and joy 87.5 and 85 percent, respectively, of the time. We produce dreamlike poetry by training on a corpus of texts that describe dreams. Poems from this model are shown to capture elements of dream poetry with scores of no less than 3.2 on the Likert scale. We perform crowdsourced human-evaluation for all our poems. We also make use of the Coh-Metrix tool, outlining metrics we use to gauge the quality of text generated.

From cloud platforms for medical data and hospital smart rooms to artificial intelligence and patient-engagement technologies, the giants of the digital world are threatening to disrupt healthcare. Leading the pack is IBM and its centerpiece offering Watson Health. In just the last six months, the company has announced major initiatives into healthcare including a partnership with clinical consultation provider Best Doctors to add Watson's cancer suite to employee benefits packages, a population health management alliance with Siemens Healthineers and an effort linking IBM's PowerAI deep learning software toolkit with NVIDIA's NVLink interconnect technology. The PowerAI is already being used improve diagnoses and care plans by sifting through patient data. In October, Big Blue announced a $200 million investment in its Watson Internet of Things global headquarters in Munich, Germany.

In the latest installment of Information Age's Innovation Spotlight Series, Adam Spearing discusses how AI is impacting the customer journey. He expressed that technologies like AI are integral to remain competitive because of an increasing demand from people to be "predictably served". An expectancy of anticipation from the consumer means they want to be told what they want, before they want it and AI acts as a tool to satisfy this desire. "Research we have done has shown that people in the consumer space and people in the business-to-business space expect to be anticipated on their needs on what it is they want and I don't think there is a lot of technologies currently out there that offer that capability," said Spearing. He continued by saying that the technology is "going to transform the way you deal with the whole interaction of how customers operate with you. The ability to look at a tweet, or a post, or an email and understand the sentiment behind that and change the way you prioritise your interactions [will be significant]."