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