You got the history of AI from Dr. Stefanos Zafeiriou, Imperial

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

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

Calum Chace - on job replacementMachines don’t care if you’re white collar or blue collar. They are “collar-blind”.

300% increase in fundraising this year for AI companies

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?

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?

Dr. Rob Fraser, Microsoft

Augmentation vs replacement is all great but it’s a design choice.

It’s a red pill blue pill choice!

Aurora Flint, Python coder (8yrs)

Loved the Tesla cars and the application for AI on Music.

Data Scientists can come from anywhere...

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

●●●●●●●

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

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

Go to conferences, events and meetups

Love your Newsletters

and Podcasts

Learn to talk to an AI

Be aBook

Worm

Be inspired by people

Look for people like you and not like you

Where the training data is coming from?Who’s in charge of security?

etc….