Overview of Deep Learning automation impact on jobs and how to accommodate these changes and opportunities career-wise. This was presented at the conference for Special Libraries for Pharma focused on Information Professional careers.

2. Applied Dynamic Solutions

3. Challenges

4. Deep Learning
http://www.kdnuggets.com/wp-content/uploads/neural-networks-layers.jpg

5. Why now?
Credit: Chris Jones, NIH

6. https://www.slideshare.net/dominodatalab/data-science-popup-seattle-deep-learning-use-cases

7. What can DL do?

8. Treasury Secretary Steve Mnuchin says automation
isn’t something he loses sleep over: “It’s not even on
our radar screen
. . .
[it’s] 50 to 100 more years” away, as he said at an event
organized by Axios. “I’m not worried at all,” he added.
“In fact I’m optimistic.”

9. For example, in 1870, almost 50 percent of American
employees worked in agriculture, supplying the Nation’s
food.
Today, thanks in large part to technological change,
agriculture employs less than 2 percent of American workers
andAmerican food production exceeds domestic demand.

10. Routine-intensive occupations that focused
on predictable, easily-programmable tasks—
such as switchboard operators, filing clerks,
travel agents, and assembly line workers—
have been particularly vulnerable to
replacement by new technologies.

11. Acemoglu and Restrepo are unambiguous
about how robots in automotive and other
factories reduced employment.They say
that each new robot has reduced the need
for up to 6.2 workers in certain isolated areas

12. Fukoku Mutual Life Insurance Co is planning
to slash nearly 30% of its payment
assessment department’s human staff after
it introduces an artificial intelligence (AI)
system in January 2017 to improve operating
efficiency.

13. Nearly one in three investors says these machines are
superior at picking stocks and lessen their risk, and almost as
many say the machines are better at selecting investments
for retirement than human brokers, according to a new study
of US investors by market research and consulting firm
SpectremGroup.

14. Goldman Sachs deployed 200 computer
engineers to replace 600 traders utilizing
computerized trading.

19. Automation

21. Information ProfessionalTraits

22. While AI detects patterns and creates
predictions, it still cannot replicate social
or general intelligence, creativity, or
human judgment.

23. Value Add:
Non-routine cognitive tasks

24. Curation Management

25. Information Architecture

26. Intimate Business Knowledge!

27. Traps

28. Effort vsValue/Impact
Proceed Investigate
Maybe Kill
Value/Impact
Effort

30. Self/career
augmentation
http://www.macleans.ca/wp-content/uploads/2014/09/MAC36_BRAIN_CAROUSEL01.jpg

31. ClosingThoughts

32. Additional Reading
[Excellent!AI in Healthcare] (http://www.newyorker.com/magazine/2017/04/03/ai-versus-md
Whitehouse Report – AI Automation and the Economy
(https://obamawhitehouse.archives.gov/sites/whitehouse.gov/files/documents/Artificial-Intelligence-
Automation-Economy.PDF)
McKinsey Report – A future that works (http://www.mckinsey.com/global-themes/digital-
disruption/harnessing-automation-for-a-future-that-works?cid=eml-web
Robots are going to kill jobs because they already have (https://www.fastcompany.com/3069269/robots-
are-going-to-kill-jobs-because-they-already-
have?partner=rss&utm_source=rss&utm_medium=feed&utm_campaign=rss+fastcompany&utm_conte
nt=rss
[Basic Machine learning background] (https://medium.com/@medhaa/three-things-you-need-to-know-
about-machine-learning-99e6f5815aee
[Autonomous vehicle automation effects] ( https://medium.com/basic-income/self-driving-trucks-are-
going-to-hit-us-like-a-human-driven-truck-b8507d9c5961)
https://medium.com/echobox/100-things-machines-learnt-to-do-this-year-80b727a64231

33. Technology Dividend?