Artificial Intelligence
Artificial intelligence (AI) is the science of making machines imitate human thinking and
behavior.
McKinsey estimates AI techniques have the potential to create between $3.5T and
$5.8T in value annually across nine business functions in 19 industries.
What AI Can do
, Data is the new Oil
AI NEEDS TO LEARN
AI NEEDS TO BE TRAINED
AI REQUIRES LARGE DATA SETS (A LARGE COLLECTION OF DATA)
Prescriptive
Prescriptive analytics is an area of analytics that goes beyond descriptive (what
happened aNd predictive (what might happen) analytics to recommend specific actions
that can lead to desired outcomes.
● Maintenance scheduling
● Real-Time recommendations
● Portfolio management
● Resource allocation
● Healthcare
Natural Language Processing
NLP allows machines to understand, interpret, generate, and respond to human
language in a way that is both meaningful and contextually relevant.
AI models can produce concise summaries of long pieces of text, useful in applications
like news aggregation or research.
Artificial intelligence (AI) is the science of making machines imitate human thinking and
behavior.
McKinsey estimates AI techniques have the potential to create between $3.5T and
$5.8T in value annually across nine business functions in 19 industries.
What AI Can do
, Data is the new Oil
AI NEEDS TO LEARN
AI NEEDS TO BE TRAINED
AI REQUIRES LARGE DATA SETS (A LARGE COLLECTION OF DATA)
Prescriptive
Prescriptive analytics is an area of analytics that goes beyond descriptive (what
happened aNd predictive (what might happen) analytics to recommend specific actions
that can lead to desired outcomes.
● Maintenance scheduling
● Real-Time recommendations
● Portfolio management
● Resource allocation
● Healthcare
Natural Language Processing
NLP allows machines to understand, interpret, generate, and respond to human
language in a way that is both meaningful and contextually relevant.
AI models can produce concise summaries of long pieces of text, useful in applications
like news aggregation or research.
