Analytics has reached a turning point. Business leaders are tired of sponsoring BI and AI projects that don’t yield tangible results. AI applications are the key to the future of AI adoption, putting predictive and prescriptive insights into business users’ hands to make better decisions.
Authors Dan Darnell, Rafael Coss, and Patrick Hall focus on the new world of AI applications and the critical challenges and drivers for success.
This report explores:
- • The Rise of Augmented Analytics – The challenges faced by analytics projects and the rise of augmented analytics for the enterprise
- • The AI Application Paradigm – The anatomy of modern AI applications and the technology needed to drive them
- • Real AI Applications in Action – Examples of AI apps for industries like healthcare and banking, line of business areas like marketing, and AI Apps for data teams
- • AI’s Impact on Real Businesses – Case studies showing the real impacts of AI applications for businesses in healthcare, manufacturing, and insurance