Getting into ai event slides

Community and Directory for All Things AITabitha Goldstaub - Co Founder

@Cognition_X @tabithagold

Transformation not technology

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

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.

Men and Women plus Machine

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

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

● Pick a sector● A Big 4 disruptor● Disruptors● The disrupted● A startup● Start your own● Government

Everything is being disrupted.You can work for:

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

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

How do you prepare yourself?

Go to conferences, events and meetups

Love your Newsletters

and Podcasts

Learn to talk to an AI

Be aBook

Worm

Keep learning all the time

Have an opinion on all ethics questions

Get experience

Get advice for the interview

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

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

etc….

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