4. You got the history of AI from
Dr. Stefanos Zafeiriou,
Imperial
5. Dr. Stephen Cave
3 Principles of AI 1) AI that
enhances us not replaces
us 2) AI we can trust -
transparent and explains its
decisions 3) Responsible
innovation paying attention
to its impact on groups
6. Ed Newton-Rex, Jukedeck
Creativity is not dead!
- Art is about more than work
- People will always be creative
Ultimately AI will contribute to Art
7. Dr. Carsten Sorensen
- Future of business
- “Data” is data about us and privacy will be redefined
8. Calum Chace - on job replacement
Machines don’t care if you’re white collar or
blue collar. They are “collar-blind”.
10. Hugo Pinto, IBM Innovation
We are about augmenting people
to do a better job - automating
processes and exploring years
and generations of information.
How different will the learning
experience be - with all
knowledge at the distance of a
click or a question?
11. Dr. Daniel Hulme, Satalia & UCL
There are lots of exponential problems
out there! Humans are rubbish at solving
this!
Computers neither but together better...
What is “good”?
Our purpose is to create a world where
people can do what they love?
12. Dr. Rob Fraser, Microsoft
Augmentation vs replacement is all great
but it’s a design choice.
It’s a red pill blue pill choice!
13. Aurora Flint, Python coder (8yrs)
Loved the Tesla cars and the
application for AI on Music.
16. You need to...
Be adaptable
Be curious and like asking questions
Be comfortable experimenting
Have a good intuition for when to stop.
Feel comfortable with failure
Have a passion for understanding a sector
Be excited to and enjoy learning
Like to be at the cutting edge of technology
17. Research Scientist / Engineer
Data Miner
Data Science
Data Engineer
Product Manager
Program Manager
Product Marketing
(Chief) Technology Officer
Software Engineer
Language Technologies
Optimization modeller
Visualisation Engineer
Physics programer
Buss Dev
Sales
Events
Marketing
Social Media
CRM
Production
Public Policy
18. ● Pick a sector
● A Big 4 disruptor
● Disruptors
● The disrupted
● A startup
● Start your own
● Government
Everything is being disrupted.
You can work for:
19. New Data
Metric
Data
Processing
and Quality
Data
Interrogation,
Security and
Access
Analysis,
Hypothesis
and Impact
Applied
Data
Science
Leadership
Communication
Storytelling
Define,
specify and
create
metric /
events Develop
requirements
and monitor
outcomes
Run queries
against
complex data
setsUnderstand
trends and
create a
narrative
Run
analysis and
build
repeatable
data
models
Builds
collaborative
relationships and
is trusted
Skills needed
for a data team
30. Andrew Ng
Jana Eggers
Fei-Fei Li
Megan Price
Hanna Wallach
Samantha Payne
Yao Zhang
Karen Matthys
Jill Dyche
Yanbing Li
Be inspired by people
Neha Narkhede
Randy Olson
Kirk Borne
Yann LeCun
Nando de Freitas
Gregory Piatetsky
Ben Lorica
Maggie Bowden
Nathan Benaich
Azeem Azar
Daniel Hulme
Look for people like you and not like you
31. Where the training data is coming from?
Who’s in charge of security?
etc….
32. Today you can...
Join the network
Sign up for the Daily Briefing
Start job hunting
Attend our events
Register for the beta
Come work with us
cognitionx.com/join
tabitha@cognitionx.io
beta@cognitionx.io
@cognition_X
Hinweis der Redaktion
Giving clarity to people and companies trying to deploy AI.
The running theme at the moment and throughout CES, WEF, and DLD was that AI should be seen as a tool built by humans and made to assist them and augment capabilities not replace people. Andrew Ng, chief scientist at Baidu Research in Silicon Valley, Ginni Rometty, CEO of IBM, and CEO of Microsoft Satya Nadella have all said in their own ways that although AI will certainly replace certain jobs, it will chiefly serve as a source of human productivity.
Optimisation modeller at Satalia (Optimization-as-a-Service - Algorithms | Intelligence | Optimization)
Computer Vision Specialist at Enterprise Bot (Create smart recommendations and customer service agents for your business)
Senior Frontend Developer at Artificial Labs (building better insurance tools)
Either work for one of the big 4 or one of the incumbents or a startup
CognitionX Daily/Weekly Newsletter
Exponential Review
O’Reilly Artificial Intelligence Newsletter
The Wild Week in AI
Deep Hunt
Emergent // Future
ML Weekly
Deep Learning Weekly
