According to authors, innovations in the areas of Artificial Intelligence(AI),Machine Learning and Deep Learning are beginning to dominate the technology landscape but the actual user experience and concerns about privacy and security are obstacles that can prevent AI from reaching its potential. Despite it’s negative implications, a Consumer Intelligence Report by PwC, revealed, that most consumers believe AI will help humankind, by solving complex problems, like fatal diseases, city traffic, cybercrime, infrastructure and fraud, that plague modern societies , thereby helping people to live more fulfilling lives. AI could revolutionize  personalized healthcare by analyzing data thus helping in maximizing life expectancy and enhancing wellbeing.AI will expand access to financial, medical, legal and transportation services to those with lower incomes thus emerging  both as a process and a product that instills trust and transparency in consumers. Read more at https://aitrends.com/security/consumers-welcome-ai-despite-lingering-privacy-concerns/

Consumer Intelligence is largely focused on improving customer behaviour and enhancing consumer products which are tailor made to match consumer expectations. AI helps industries to introduce new product features by finding patterns in huge datasets. There are two types of categories in consumer AI : front end bots and AI assisted human agents. Chatbots take care of customer text queries. AI in enterprises has been useful in Enterprise Resource Planning. Enterprises are conducting predictive analytics in developing AI applications. Enterprise AI can be of two types- Applied AI and Artificial General Intelligence. Though comparing these two enterprise AI is complex and requires much more expertise  than consumer artificial intelligence. Read more at: http://analyticsindiamag.com/enterprise-ai-vs-consumer-ai-understanding-two-differ/