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Jana Eggers CEO, @jeggers Summoning the Demon: A Day in the Life Image: http://www.yorkparanormals.com/

Startupfest 2015: JANA EGGERS (Nara Logics) - Keynote

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Page 1: Startupfest 2015: JANA EGGERS (Nara Logics) - Keynote

Jana Eggers CEO,

@jeggers

Summoningthe Demon:A Day in the Life

Image: http://www.yorkparanormals.com/

Page 2: Startupfest 2015: JANA EGGERS (Nara Logics) - Keynote

What my friends think I do

CC: Stephen Bowler

Page 3: Startupfest 2015: JANA EGGERS (Nara Logics) - Keynote

What I really do

Page 4: Startupfest 2015: JANA EGGERS (Nara Logics) - Keynote

CC: Brett Jordan @jeggers

Seriously, AI is in its infancy

Page 5: Startupfest 2015: JANA EGGERS (Nara Logics) - Keynote

But, kids grow up fast

Page 6: Startupfest 2015: JANA EGGERS (Nara Logics) - Keynote

Team StockdaleTeachinga machineto learn

@jeggers

Page 7: Startupfest 2015: JANA EGGERS (Nara Logics) - Keynote

90% of the world’s data was created in the last 2

years

@jeggers

Page 8: Startupfest 2015: JANA EGGERS (Nara Logics) - Keynote

It’s a signal to noise problemPerfect for AI

One morning (and it will be soon), when everyone wakes up as a writer, the age of universal deafness and incomprehension will have arrived.

Milan Kundera, 1978

Page 9: Startupfest 2015: JANA EGGERS (Nara Logics) - Keynote

Machine-to-machine communication and learning alsohelp managers increase their capability and capacity and the speed of their decisions.The potential uses have barely been scratched, andthe growth opportunities of this bend in the road can be immense for those who seize them.Ram Charan, The Algorithmic CEOFortune, January 22, 2015

@jeggers

WIIFY

Page 10: Startupfest 2015: JANA EGGERS (Nara Logics) - Keynote

Breaking the magicians code on ML•Definition: algorithms learning from data; etymology <1960 AI and statistics>•Common words: supervised, unsupervised, neural networks, Bayesian methods, deep learning, pattern recognition, singularity•Next generation of: filtering and segmentation, rules-based systems, statistical analysis, expert systems

It’s just maths @jeggers

Page 11: Startupfest 2015: JANA EGGERS (Nara Logics) - Keynote

AISubfields

@jeggers

Page 12: Startupfest 2015: JANA EGGERS (Nara Logics) - Keynote

School “Supernodes”MIT, Stanford, CMU, Berkeley

Strong US / non-USnetwork divide

Academia

@jeggers

Page 13: Startupfest 2015: JANA EGGERS (Nara Logics) - Keynote

“Supernodes”Google, Bell Labs, SRI

Business@jeggers

Page 14: Startupfest 2015: JANA EGGERS (Nara Logics) - Keynote

Businessdriven bypeople

@jeggers

Page 15: Startupfest 2015: JANA EGGERS (Nara Logics) - Keynote

MathematiciansPhysicistsComputer Scientists

DataCompute Power

NeuroscientistsProduct Owners

IA & UX

Business ProblemsFunding

EthicistsSocial Scientists

Lawyers

EntreprenuersSuitsKids & Grandmas

YouYou You

You

You

You@jeggers

Page 16: Startupfest 2015: JANA EGGERS (Nara Logics) - Keynote

Image by Eyewire

Our goal:General-purpose recommendation engine

Our approach:Neuroscience + ML

Page 17: Startupfest 2015: JANA EGGERS (Nara Logics) - Keynote
Page 18: Startupfest 2015: JANA EGGERS (Nara Logics) - Keynote

Homework: What is your problem?• Do you have loads of “unemployed”

data?• Have you segmented your data or

business in order to solve your problem(s)?

• Does your problem fit AI/ML?• Can you define a Proof of Concept?• Where in your network is expertise?

@jeggers

Page 19: Startupfest 2015: JANA EGGERS (Nara Logics) - Keynote

More sunlightMore patienceMore diversity

Don’t undervalue youDon’t succumb to fear

What Ithink about when I think about the future of AI

@jeggers