Microsoft invests $1 billion in OpenAI and partners with the company. OpenAI was co-founded in 2015 as a non-profit to safely develop beneficial artificial intelligence. It is now partnering with Microsoft, who will help commercialize OpenAI's research and use Microsoft's cloud services. OpenAI has developed capabilities like a text generator that can generate realistic text based on a few lines of input. The partnership will help both companies advance AI research and applications.

1. 01
Starting with a long
Intro that’s all about
You.

2. P.S. : Read last 2 pages again
I am very excited to know
more about the Microsoft
and OpenAI Deal

3. Sure. Let me explain..

4. Microsoft invests
$1Billionand partners with OpenAI

5. OpenAI was..
..co-founded in 2015 by Elon
Musk, Paypal co-founder Peter
Thiel and LinkedIn co-founder
Reid Hoffman as a non-profit
company to
democratize long term
positive impacts of AI

6. They were concerned with
the possibility of
Evil AI

7. OpenAI now is..
..a non-profit company
because it needs funding for
compute resources. This
changed happened in March
2019.
for profit

8. OpenAI has developed
few very solid AI
capabilities
An example is text generator
which generates realistic and
coherent text close to human
quality just based on few lines
of input.
Yes, let’s see example next

9. Stay Alert - read entire
text in next 2 pages

10. This goes into the
algorithim..
In a shocking finding, scientist
discovered a herd of unicorns
living in a remote, previously
unexplored valley, in the
Andes Mountains. Even more
surprising to the researchers
was the fact that the unicorns
spoke perfect English.

11. The algorithm then generates
below text
*only top lines are shown here
The scientist named the
population, after their distinctive
horn, Ovid’s Unicorn. These four-
horned, silver-white unicorns
were previously unknown
to science.
Now, after almost two centuries,
the mystery of what sparked this
odd phenomenon is finally solved

12. What does Microsoft
get for $1 Billion ?
OpenAI’s Research for
comercial purposes
1
Cloud Revenue - OpenAI
will transform its process to
use Microsoft Cloud
Services
2

13. P.S. : Read last 2 pages again
Now I get it! I am loving
The Neuron already

14. Satya Nadella on this
partnership..
Microsoft CEO
“AI is one of the most
transformative technologies of
our time and has the potential
to help solve many of our
world’s most pressing
challenges”

15. Srivatsan
Srinivasan
Chief Data Scientist
Data Science Blogger

16. On AI Use Cases
Chief Data Scientist,
LinkedIn Published Author
Today, intelligent solutions,
like AI is no longer a luxury.
It is critical for enterprise to
be competitive, enhance
customer touch point or to
scale their critical business
process. AI done properly can
accelerate these
transformations in
organization as well as bring
in efficiency

17. On AI Use Cases
To be successful in AI it is
very important for
organization to translate
ideas to business value or
measurable outcomes
On AI Use Cases

18. On AI Use Cases
Use case ranges from one
that can help enterprise
maintain competitive
advantage or enhance
customer touchpoints and
critical business moments or
one that can help them
reduce cost of operations
On AI Use Cases

19. Major Challenge
As organization scale AI, they
may lack a process to select
and prioritize AI use case.
This is where I am currently
focusing on and Idea is to
come up with base
framework that can help
enterprise prioritize use
cases based on actual ROI

20. Biggest mistakes while
applying AI - #1
Chief Data Scientist,
LinkedIn Published Author
Get carried away by
technology noise and not
select use cases that can
impact organizational
strategic goals

21. Biggest mistakes while
applying AI - #2
Chief Data Scientist,
LinkedIn Published Author
Lack of data strategy is
another area that can
significantly delay time to
insight of AI solution

22. Biggest mistakes while
applying AI - #3
Enterprise need to have
experimentation culture and
should be ready to accept
failure any moment in AI
journey. Force fitting AI
solutions is another mistake
that can severely affect
reputation if deployed in core
business processes

23. Favorite Data Science
Book
Chief Data Scientist,
LinkedIn Published Author
Data Smart by John W.
Foreman - must read for
business leader who is
looking to understand the
working behind algorithm

24. How to Reach
Srivatsan?
Chief Data Scientist,
LinkedIn Published Author
“Best way is to follow me
on LinkedIn. I keep
posting information on real
world machine learning.
One can also go through
my past articles and posts
on LinkedIn”

25. The BIG COMPANY
Neuron
AI for Cancer
Cure

26. 9.6 million
deaths
In 2018

27. IBM Open Sources
Cancer related AI
projects to help combat
This will help deepen our
understanding of cancer
as more researchers from
industries and academia
can take this work forward.
The projects are
PaccMann, INtERAcT
and PIMKL

28. #1 - PaccMann
Problem - Cancer drug
development is super
expensive
648Million
Dollars
Median Cost of Developing Cancer Drug

29. Use AI to determine which
drugs are effective early
on . This information can be
used by researchers as a
guide to potentially help
them improve or repurpose
existing drugs, as well as to
develop new ones.
#1 - PaccMann
Approach - apply AI to
optimize drug development

30. #2 - INtERAcT
Problem - Good information
but buried under thousands
of research papers
17K
# Scientific Articles per Year

31. Use AI to find needle in
haystack by making sense of
words in these research
papers
#2 - INtERAcT
Approach - apply AI to mine
knowledge

32. #3 - PIMKL
Problem - Cancer can come
back. This is known as
relapse
The likely reason relapse
occurs is that a few of the
original cancer cells
survived the initial treatment.
Sometimes, this is because
cancer cells spread to other
parts of the body and were
too small to be detected during
the follow-up immediately after
treatment

33. AI technique identifies
molecular pathways that is
important to classify patients
in different groups. This
allows for personalization and
better treatment
#3 - PIMKL
Approach - Use Machine
Learning to better predict
chances of relapse

34. AI gives me hope..

35. Aren’t you wondering how
to get next edition of this
cool AI magazine?

36. LOOKING TO SIMPLIFY
AND REDISGN YOUR
POWERPOINT
PRESENTATION?
WE CAN HELP!
CONTACT US AT
STINSONDESIGN.COM

37. All views are Personal.
Document is for educational
purposes only
https://news.microsoft.com/
https://brohrer.github.io/artificial_general_intelligence.html
https://www.reuters.com/article/us-microsoft-openai/
microsoft-to-invest-1-billion-in-openai-idUSKCN1UH1H9
https://arxiv.org/pdf/1801.03011.pdf
https://www.zurich.ibm.com/interact/
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5710275/
https://www.ibm.com/blogs/research/2019/07/ai-tools-for-
cancer-research/
https://arxiv.org/abs/1905.09773
https://curesearch.org/Relapse-or-Recurrence
Resources