Presentation for the November 2, 2017 OLC Leadership Team meeting, describing the opportunities and recommended methods for spurring and supporting innovation at the intersection of higher education and artificial intelligence.
7. Intelligence can be generally
described as the ability to
perceive information, and
retain it as knowledge to be
applied towards adaptive
behaviors within an
environment or context.
“Intelligence," Wikipedia: The Free Encyclopedia
8. Artificial Intelligence
•An artificial device capable of perceiving its
environment and taking actions that maximize its
chance of success at some goal.
KeyTerms
9. Machine Learning
•An artificial device capable of learning from its
environment without being explicitly programmed.
KeyTerms
10. Neural Networks & Deep Learning
•Biologically-inspired programming paradigm which
enables a computer to learn from observational
data.
KeyTerms
Moore’s Law = number of transistors in a dense integrated circuit doubles approximately every two years
Geometric expansion of computing capability
We are in an age of amazing progress in computing capability, driven by advancements in GPUs
That’s great, but so what if my cat video loads a bit faster?
Freely given data combined with massive storage capabilities
100gb/day in 1992
50,000gb/day in 2018
We are moving from an Internet Age to an Innovation Age.
Starting in the mid 1990’s, the Internet connected the globe and sparked unprecedented innovation and unleashed a pace of change that had never been experienced. It is the Internet that enabled new paradigms for education. It has allowed us to challenge the status quo and open up new opportunities for learners and our educational.
The Internet has created exciting innovations that has impacted all of us personally and professionally. The past 2 decades have been truly life changing – news is instantaneous, social connections are made online, information on any subject is at our finger tips, we can store and stream millions of songs from our smart phones, and we can buy just about anything at a click of a button. While as impactful as the Internet has been, it will pale in comparison to what lays just over the horizon in an Innovation Age.
The innovation age will be characterized by a combination of rapid advancements in technology, including the Internet of Things (IoT), Block Chain, 5G communication, wearable computing, self-driving cars, energy storage, nanotechnology, machine intelligence, and the list goes on. These advancements are combining to spawn an era of innovation like no other in history and likely to be the greatest era of technological change in our lifetime. Change will occur an exponential pace and have the capability of mass disruption of entire industry structures.
And behind much of that advancement … Artificial Intelligence
Artificial Intelligence?
Augmented Intelligence?
Machine Learning?
Watson, Alexa, Google Now, Siri, Cortana?
Your car?
Intelligence can be generally described as the ability to perceive information, and retain it as knowledge to be applied towards adaptive behaviors within an environment or context.
This is a hotly debated area amongst academics in these fields, but since I am not one of those, I’ll simplify it this way.
It gets complicated fast though …
There are a few key things to keep in mind when navigating through the world of applied AI.
Many AI platforms offer services and tools in these principle areas
Also, By 2020, 30% of all companies will employ AI to augment at least one of their primary sales processes. Gartner Predicts 2017: CRM Sales
Also, Sixty-one percent (61%) of those who have an innovation strategy say they are using AI to identify opportunities in data that would otherwise be missed.
By 2020 the artificial intelligence market will surpass $40 billion
By 2020, insights-driven businesses will steal $1.2 trillion per annum from their less-informed peers. Forrester Predictions
The question we must face is “How to we respond”
So what are the opportunities?
Deakin University uses AI for student support services
Georgia State University has seen great benefits from using AI for GSU admissions
University of Michigan ‘Project Sapphire’ Cognitive & conversational technology to provide academic advising. System will automated allow flow of conversation based on prior human/human interactions
University of Telecommunications Leipzig (Germany) Need to increase job placement rates for graduates. Analyze job postings to align employment trends with university curriculum. New degree program launched in 2.5 months instead of 12 months (76% improvement)
Georgia Tech professor is now in his third semester with “Jill Watson”, an artificial intelligence teaching assistant that answers questions for online students.
Stories of students asking Jill for a recommendation.
Students that figured it out were tipped off by how efficient Jill was
MOOCs, for all their faults, brought a spotlight onto the potential, demand, and affordances of learning at scale.
We cannot accomplish even moderate scaling of our institutions without significantly either boosting the efficiency of our operations or diminishing our quality.
Transfer Credit, finance, HR.
We need to augment the expertise we currently have and free up our skilled personnel to do what they are truly good at.
Dallas County Community College, real time Closed Captioning for all students across multiple languages
Place learners in control of their learning and help Faculty serve the individual student.
Ethical issues abound.
Colorado State University - intelligent learning and assessment engine
How do we accelerate innovation?
Leverage students
Hackathons, student support programs, grants
Partner with Industry
Bring together Faculty, Staff, and Students
What’s ahead?
There is hype
Leverage AI where it makes sense, it is not a panacea
Focus on data strategies