ARTIFICIAL INTELLIGENCE !
????
With all the hype around AI, it can be easy to be afraid or
confused.WHY AI HAS
RE-EMERGED Explosion of data
Increased computational resources
Identification of specific problems best handled by a machine
BREAKING DOWN AI
narrow broad weak strong
Amazon recommendations
Designed around specific
tasks
Designed around
ability to reason in general
Google’s deep learning
Simply getting
systems to work
Aimed at simulating
human reasoning
IBM’s Deep Blue Research only
AI CAPABILITIESSENSING
REASONINGACTING
Taking in raw data for image processing and
speech recognition Thinking about how things relate to what is knownSiri listening to you
IBM’s WatsonGenerating and
controlling actions
Cortana speaking to you
ASSESSINGINFERRING
PREDICTINGHow AI systems look at the world How AI systems
draw conclusionsProfile building for
recommendation or search
Search engine suggesting “remedies”
when you search “symptoms”
How AI systems make guesses about what
happens next
Netflix recommends a show based on history
HOW AI COMMUNICATES NATURAL LANGUAGE GENERATION (NLG)
It’s time to set the record straight about AI
ANALYZING GENERATING INFORMINGIdentify facts and determine what is
important and interesting
Automatically generate data-driven narratives to
desired specifications
Easily share information in a readable format
at scale
For more information, download:Practical Artificial Intelligence for Dummies www.narrativescience.com/practical-ai
Advanced NLG systems, like Narrative Science Quill,
understand the stories you want to tell, perform the analysis and ingest the data
required to achieve those goals.
Quill turns data into narratives by