getting into ai event slides
TRANSCRIPT
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Community and Directory for All Things AITabitha Goldstaub - Co Founder
@Cognition_X @tabithagold
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Transformation not technology
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You got the history of AI from Dr. Stefanos Zafeiriou, Imperial
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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
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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
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Dr. Carsten Sorensen- Future of business- “Data” is data about us and privacy will be redefined
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Calum Chace - on job replacementMachines don’t care if you’re white collar or blue collar. They are “collar-blind”.
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300% increase in fundraising this year for AI companies
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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?
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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?
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Dr. Rob Fraser, Microsoft
Augmentation vs replacement is all great but it’s a design choice.
It’s a red pill blue pill choice!
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Aurora Flint, Python coder (8yrs)
Loved the Tesla cars and the application for AI on Music.
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Men and Women plus Machine
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Data Scientists can come from anywhere...
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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
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Research Scientist / Engineer Data MinerData Science Data Engineer
Product Manager Program ManagerProduct Marketing
(Chief) Technology OfficerSoftware EngineerLanguage Technologies Optimization modellerVisualisation EngineerPhysics programer
Buss DevSales
EventsMarketing
Social MediaCRM
Production
Public Policy
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● Pick a sector● A Big 4 disruptor● Disruptors● The disrupted● A startup● Start your own● Government
Everything is being disrupted.You can work for:
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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 setsUnderstan
d trends and create a narrative
Run analysis and build
repeatable data
models
Builds collaborative relationships and is trusted
Skills neededfor a data team
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Develop requirement
sand monitor outcomes
Run queries against complex data setsUnderstan
d trends and create a narrative
Run analysis and build
repeatable data
models
Builds collaborative relationships and is trusted
Define, specify and
create metric / events
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How do you prepare yourself?
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Go to conferences, events and meetups
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Love your Newsletters
and Podcasts
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Learn to talk to an AI
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Be aBook
Worm
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Keep learning all the time
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Have an opinion on all ethics questions
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Get experience
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Get advice for the interview
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Andrew NgJana EggersFei-Fei LiMegan PriceHanna WallachSamantha PayneYao ZhangKaren MatthysJill DycheYanbing Li
Be inspired by people
Neha NarkhedeRandy OlsonKirk BorneYann LeCunNando de FreitasGregory PiatetskyBen LoricaMaggie BowdenNathan BenaichAzeem AzarDaniel Hulme
Look for people like you and not like you
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Where the training data is coming from?Who’s in charge of security?
etc….
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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/[email protected]@cognitionx.io@cognition_X
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