1©	Ivy	Data	Science
Ivy	Data	Science
AI	with	Applications	in	Healthcare
©	Ivy	Data	Science 2
AI	State	of	Play
©	Ivy	Data	Science
AI	is	inspired	by	Nature	- Biological	Neuron
Ivy	Data	Science						AI	with	Applications	v0.10							Peter	Morgan				
Dec	2016
3©	Ivy	Data	Science
Biological	Neurons	– Cajal,	circa	1900
Ivy	Data	Science						AI	with	Applications	v0.10							Peter	Morgan				
Dec	2016
4©	Ivy	Data	Science
Biological	Neurons	– Cortical	Columns
Ivy	Data	Science						AI	with	Applications	v0.10							Peter	Morgan				
Dec	2016
5©	Ivy	Data	Science
Artificial	Neural	Network
Ivy	Data	Science						AI	with	Applications	v0.10							Peter	Morgan				
Dec	2016
6©	Ivy	Data	Science
Enterprise	technology	has	
evolved	with	each	wave	of	the	
Industrial	Revolution	– today	it	is	AI
1st
Steam	Power
3rd
Computing
2nd
Mass	Production
19th Century
17th Century
21st Century
4th
Artificial	Intelligence
20th Century
©	Ivy	Data	Science
The	Intelligence	Revolution
9
Deep	Learning	hardware and	algorithms
along	with	increasing	amounts	of	data are	
the	foundation	for	the	“fourth	industrial	
revolution”
Deep	learning	is	a	new	computing	model	that	spans	
training,	inference,	and	the	billions	of	intelligent	devices	
that	will	take	advantage	of	deep	learning	to	perform	
intelligent	tasks
Deep	Learning	in	the	cloud	- accelerating	enterprise	AI	today
Example	1	– Microsoft	cloud:	
“We’ve	worked	with	Microsoft	to	
create	a	lightning-fast	AI	platform	
that	is	available	from	on-premises	
with	our	DGX-1	supercomputer	to	
the	Microsoft	Azure	cloud.”
- Jen-Hsun	Huang
CEO	at	NVIDIA
AI in Healthcare 2017
“By	working	closely	with	
NVIDIA	and	harnessing	the	
power	of	GPU-accelerated	
systems,	we’ve	made	Cognitive	
Toolkit	and	Microsoft	Azure	the	
fastest,	most	versatile	AI	
platform.”
- Harry	Shum
Executive	VP	of	AI	and	
Research	at	Microsoft
AI in Healthcare 2017
“With	Microsoft’s	global	reach,	
every	company	around	the	world	
can	now	tap	the	power	of	AI	to	
transform	their	business.”
- Jen-Hsun Huang
CEO	at	NVIDIA
Example	2	– IBM:	
IBM	CEO	Gini	Rometty	saw	a	
two	trillion	dollar	opportunity	in	
machine	learning	for	enterprise.
This	ignited	their	recent	drive	
in	advancing	GPU-based	
cloud	computing	…
The	solution	runs	on	an	
IBM	server	built	specifically	
for	AI	and	utilizes	NVLink
to	optimize	AI	into	the	
enterprise
…	And	developed	PowerAI
that	accelerates	machine	
learning	training	and	AI	tasks
AI in Healthcare 2017
“PowerAI democratizes	Deep	
Learning	and	other	advanced	
analytics	technologies	by	giving	
enterprise	data	scientists	and	
research	scientists	alike	an	easy	to	
deploy	platform	to	rapidly	
advance	their	journey	on	AI.”
- Ken	King
General	Manager	for	
OpenPOWER
“Putting	GPU’s	into	the	IBM	
system	will	speed	up	performance	
for	such	emerging	workloads	as	
AI,	deep	learning,	and	data	
analytics.”
-eWeek
-Karl	Freund
Moor	Insights	&	Strategy
“With	these	partnerships	in	place,	NVIDIA	has	aligned	itself	
with	two	of	the	largest	suppliers	of	enterprise	IT	technology	and	
services	to	accelerate	the	adoption	of	AI	in	the	enterprise	and	
help	take	AI	into	the	mainstream	of	global	businesses.”
READ	FORBES	ARTICLE
GOOGLE
Example	3	- Google	Cloud:	Deep	Learning	is	available	for	Google	Compute	Engine	
and	Google	Cloud	Machine	Learning	users	to	create	new	AI	services	and	applications
Tesla	P100	delivers	a	12x	increase	in	neural	
network	training	performance	compared	
with	a	previous	generation	offering.
Example	4	– AWS:	Amazon	has	
boosted	their	cloud-computing	
performance	with	new	GPU-
Accelerated	AWS	instances	that	are	
designed	for	large-scale	machine	
learning,	deep	learning,	molecular	
modeling,	and	computational	
finance	workloads.
“These	(P2)	instances	were	designed	to	
chew	through	tough	large-scale	
machine	learning,	deep	learning,	
computational	fluid	dynamics,	seismic	
analysis,	molecular	modeling,	
genomics,	and	computational	finance	
workloads.”	
- Jeff	Barr
Chief	Evangelist	at	AWS
SAP
Example	5	– SAP:	Enterprise	
software	giant	SAP	is	now	using	
DGX-1	supercomputers	to	build	
machine	learning	solutions	for	
SAP’s	320,000	customers	in	190	
countries.	The	system	is	designed	
to	help	data	scientists	innovate	&	
get	to	market	faster	with	AI	
applications.
These	partnerships	with	the	world’s	largest	
companies	allow	Deep	Learning	platforms	to	be	
available	for	every	company	in	the	cloud	today
AI	Hardware	Developments
©	Ivy	Data	Science 2929©	Ivy	Data	Science
Nvidia - GPU	Exponentials
©	Ivy	Data	Science 30©	Ivy	Data	Science	 30
GPU	Faster	than	Moore’s	Law
©	Ivy	Data	Science 31©	Ivy	Data	Science	 31
Computer	Vision	Accuracy
©	Ivy	Data	Science 32©	Ivy	Data	Science	 32
©	Ivy	Data	Science 33
Nvidia DGX-1
©	Ivy	Data	Science 34
Nvidia Pascal	P100
©	Ivy	Data	Science 35
AMD	Radeon	Vega
Facebook	Big	Sur	Server
©	Ivy	Data	Science 36
www.opencompute.org
The	GPU	in	the	cloud	movement	has	quickly	
accelerated	AI	into	one	of	today’s	biggest	
enterprise	technologies
Next	up	FPGA’s	and	ASICs	– already	happening
ASIC	Development
Companies:
• Wave	(DPU)
• Graphcore (IPU)
• KnuEdge
• Google	(TPU)
• Intel/Nervana
Overviews:
http://www.nextbigfuture.com/2016/12/chips-for-deep-learning-continue-to.html
https://hackernoon.com/the-future-of-machine-learning-hardware-
c872a0448be8#.6cxtp1fux
38©	Ivy	Data	Science
©	Ivy	Data	Science 39
Google	TPU
©	Ivy	Data	Science 40
AlphaGo	– TPU	Cluster
©	Ivy	Data	Science 41
Time	to	train	AlexNet
Hardware	Comparison	– CPU	v	GPU	v	DPU	(Wave	ASIC)
AI	in	Healthcare
• Detection
• Diagnosis
• Prediction
• Drug	discovery
• Personalized	medicine
• Medical	Imaging
• Genomics
• Cancer	research
• Brain	tumors
• Dermatology
• Mental	health
• Speech	patterns
• Diabetes
• Radiology
©	Ivy	Data	Science
Watson	Tackles	Cancer
• Watson	was	tested	on	1,000	cancer	diagnoses	made	by	human	
experts.	In	99%	of	them,	Watson	recommended	the	same	treatment	
as	the oncologists
• In	30%	of	the	cases,	Watson	also	found	a	treatment	option	the	
human	doctors	missed
• Some	treatments	were	based	on	research	papers	that	the	doctors	
had	not	read	— more	than	160,000	cancer	research	papers	are	
published	a	year
• Other	treatment	options	surfaced	in	new	clinical	trials	the	oncologists	
had	not	yet	seen	announced	on	the	web.
Ivy	Data	Science						AI	- State	of	Play	v0.10							Peter	Morgan				
Dec	2016
43©	Ivy	Data	Science
AI	- Accelerating	the	Healthcare
Transformation
Cancer	is	the	
Epidemic	of	our	Time
Leading	to	the	creation	of	one	of	the	most	important	initiatives	…
On	January	2016,	the	White	House	announced	its	aim	to	deliver	a	decade’s	
worth	of	advances	in	cancer	prevention,	diagnosis,	and	treatment,	in	five	
years,	with	this	initiative.
This	initiative	includes	the	building	of	an	AI	framework	named	CANDLE	
(Cancer	Distributed	Learning	Environment)	being	developed	by	multiple	
organizations.	It	will	help	us	change	the	way	we	understand	cancer.
AI in Healthcare 2017
AI in Healthcare 2017
“Big	Data	and	Computing	Power	together	
provide	the	possibility	of	significant	insight	
into	how	genomics,	family	medical	history,	
lifestyles,	genetic	changes	can	trigger	
cancer	and	how	the	cancers	can	be	
treated.”	
- Joe	Biden
Previous	Vice	President	of	the	United	
States
AI in Healthcare 2017
The	bright	future	of	AI	in	healthcare	only	continues	to	
become	brighter…	
Enlitic
Imaging	&	Diagnostics
Insilico Medicine
Drug	Discovery	&	Aging	Research
Pathway	Genomics
Imaging	&	Diagnostics
“A patient	gets	a	lung	CT	screening.	By	immediately	giving	the	clinician	the	most	
accurate	information,	the	patient	is	less	likely	to	have	a	missed	diagnosis	or	an	
unneeded	biopsy.”
Enlitic applies	state	of	the	art	deep	learning	technology	to	medicine	
- Jeremy	Howard
Founder	and	CEO	of	Enlitic
“At	Insilico we	are	working	on	a	system	to	discover	drug	candidates	and	
looking	for	new	approaches	to	treat	individual	patients	with	rare	diseases.”	
- Alex	Zharvoronkov
CEO at	Insilico Medicine
Insilico Medicine	applies	Deep	Learning	algorithms	to	drug	discovery
“We	are	in	the	process	of	initiating	disease	specific	studies	for	early	
cancer	detection	in	high	risk	patients,	including	a	study	in	lung	cancer,	
and	will	publish	the	data	in	the	appropriate	forums.”
- Glenn	Braunstein
Chief	Medical	Officer	at	Pathway	Genomics
Pathway	Genomics	developed	a	blood	test	kit	with	IBM	Watson	to	test	
early	cancer	detection
CONCLUSION	
THE	WORLD	OF	HEALTHCARE	IS	BEING	
TRANSFORMED	BY	AI
References
• Deep	Genomics	is	applying	GPU-based	deep	learning	to	understand	how	genetic	
variations	can	lead	to	disease
• Arterys uses	GPU-powered	deep	learning	to	speed	analysis	of	medical	images
• GE	Healthcare	MRI	machines	help	to	diagnose	heart	disease	
• Atomwise – using	deep	learning	to	develop	new	pharmaceuticals
• Deep	Learning	for	Healthcare																				
https://www.nvidia.com/en-us/deep-learning-ai/industries/healthcare/
• Deep	Learning	for	Medical	Image	Analysis	
https://books.google.com/books/about/Deep_Learning_for_Medical_Image_Analysis.
html?id=WVqfDAAAQBAJ&source=kp_cover
• Deep	Learning	for	Detection	of	Diabetic	Eye	Disease	
https://research.googleblog.com/2016/11/deep-learning-for-detection-of-
diabetic.html
• Retinal	Assessment	https://news.developer.nvidia.com/share-your-science-advanced-
retina-assessment-and-diagnostic-services/
©	Ivy	Data	Science 5757©	Ivy	Data	Science
References
• MIT		
http://news.mit.edu/2017/putting-data-in-the-hands-of-doctors-regina-
barzilay-0216
• waya.ai
http://waya.ai
• Startups
https://www.cbinsights.com/blog/ai-startups-fighting-cancer/
• Radiology
http://www.techrepublic.com/article/why-ai-is-about-to-make-some-of-the-
highest-paid-doctors-obsolete/
• Stem	cell	development	
https://www.sciencedaily.com/releases/2017/02/170221081734.htm
©	Ivy	Data	Science
AI	in	Fintech
Five	main	areas:	
• Alerting
• Reporting
• Advising
• Trading
• Investment
For	Example:
• Anomaly	detection	
• Risk	Management
• Insurance		
• Algorithmic	Trading
• Portfolio	management
Ivy	Data	Science						AI	- State	of	Play	v0.10							Peter	Morgan				Dec	2016 59©	Ivy	Data	Science
Fintech	– Use	Cases
• Alerting - Anomaly	(Fraud)	Detection.	Can	detect	and	predict	irregular	
activity
• Reporting - systems	that	can	instantaneously	analyze data,	reason	about	
what	that	analysis	means	and	then	generate	natural	language	reports	that	
inform	many	audiences.	Useful	in	compliance	and	regulation
• Advising - system	has	a	“conceptual	awareness”	of	client	goals	and	needs
• E.g.,	Watson	gives	veterans	financial	advice	related	to	their	transition	from	military	to	
civilian	life
• Deep	Learning	is	being	used	in	algorithmic,	high	frequency	trading
• Ideal	for	creating	investment	portfolios
Ivy	Data	Science						AI	- State	of	Play	v0.10							Peter	Morgan				Dec	2016 60©	Ivy	Data	Science
The	team	was	able	to:
• Process	~11,000	payments	per	second
• Cut	false	alarm	rates	by	50%
• Free	up	resources	to	combat	true	fraud
PayPal	is	improving	cybersecurity	with	deep	learning
©	Ivy	Data	Science
General	Reading	on	AI
• Barrat,	James,	Our	Final	Invention,	St.	Martin's	Griffin,	2014
• Brynjolfsson,	Erik	and	Andrew	McAfee,	The	Second	Machine	Age, W.W.	Norton	
&	Co.,	2014
• Domingos,	Pedro,	The	Master	Algorithm,	Basic	Books,	2015
• Ford,	Martin,	Rise	of	the	Robots:	Technology	and	the	Threat	of	a	Jobless	Future,	
Basic	Books,	2015
• Kaku,	Michio,	The	Future	of	the	Mind, Doubleday,	2014
• Kurzweil,	Ray,	The	Singularity	is	Near, Penguin	Books,	2006
• Kurzweil,	Ray,	How	to	Create	a	Mind, Penguin	Books,	2013
• Nowak,	Peter,	Humans	3.0:	The	Upgrading	of	the	Species,	Lyons	Press,		2015	
©	Ivy	Data	Science 62
Ivy	Data	Science						AI	- State	of	Play	v0.10							Peter	Morgan				
Dec	2016
63©	Ivy	Data	Science
Training	with	Job	Placement
• Led	by	Experts	from	Harvard,	Columbia,	UMass,	UCL
• Real	time	paid	projects	in	the	last	four	weeks	of	bootcamp	
• Practical	hands-on	training	that	will	prepare	you	for	a	career
as	a	Data	Scientist,	Machine	Learning	or	Deep	Learning	
Practitioner
• We	also	offer	online	training	
Ivy	Data	Science						AI	- State	of	Play	v0.10							Peter	Morgan				
Dec	2016
64©	Ivy	Data	Science
Network	of	Clients
Ivy	Data	Science						AI	- State	of	Play	v0.10							Peter	Morgan				
Dec	2016
65©	Ivy	Data	Science
Any	Questions?
©	Ivy	Data	Science 66©	Ivy	Data	Science 66
info@ivydatascience.com
www.ivydatascience.com
@ivydatascience.com
www.ivydatascience.com |	@ivydatascience

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AI in Healthcare 2017