Artificial Intelligence Jacob Frisch, Peyton Miller, Ally Robertson, Sam rudnicki, Kiana Stephen Ally

Artificial Intelligence Agenda Artificial Intelligence AI as a Service IBM Watson Limitations Future

Artificial Intelligence Adds intelligence to existing products Repetitive learning and data discovery Achieves incredible accuracy

Ai as a Service AI Infrastructure AI Services AI Tools AI Data AI Compute AI Services Cognitive Computing Conversational AI AI Tools Data Prep Libraries

Large Number of Industries IBM Watson Large Number of Industries High-level AI Focus "Pre-sales" Engagement

Problems and future implications Technological  Unemployment  Singularity Human Intervention

Machine Learning to Deep Learning Future of AI Salesforce Tableau Adobe Workday Software Vendors No longer just a support system Automating “Common Sense” tasks Machine Learning to Deep Learning

Business impact Inevitable change Impacts many industries Finance Automotive Healthcare Manufacturing Late movers—Left behind

Works Cited https://www.forbes.com/sites/janakirammsv/2018/02/22/the-rise-of-artificial-intelligence-as-a-service-in-the-public-cloud/#2922c80f198e​ https://www.businessnewsdaily.com/9402-artificial-intelligence-business-trends.html​ https://www.investors.com/news/technology/ai-in-business-future-of-artificial-intelligence/​ https://www.ibm.com/watson/advantage-reports/future-of-artificial-intelligence.html https://www.sas.com/en_us/insights/analytics/what-is-artificial-intelligence.html