Download - Copy of getting into ai event slides (PDF)
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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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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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●●●●●●●
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New Data Metric
Data Processing and Quality
Data Interrogation, Security and
AccessAnalysis,
Hypothesis and Impact
Applied Data
Science
Leadership Communication
Storytelling
Define, specify and
create metric / events Develop
requirementsand 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 neededfor a data team
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Develop requirementsand 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
Define, specify and
create metric / events
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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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Be inspired by people
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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