WHO IS AFRAID OF THE BIG BAD ROBOT ?

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Artificial Intelligence

Machine Learning

Neural networks

Deep Learning

Big Data

Automation

Robotics

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“ Systems endowed with the intellectual processes characteristic of humans, such as the ability to reason, discover meaning, generalize, or learn from past experience ”

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The Evolution

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Timeline

Dartmouth CollegeAi was born. Programs were taught checkers. By 1959 they could beat their human counterparts

Deep BlueBeats Gary Kasparov in chess

1960’sAi research received substantial funding from the US and British Governments

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70

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97

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90

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56

Ai WinterProgress all but ceased

2018 onwards

Self driving cars, voice assistance like siri,

facial recognition software, and the list

continues

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Ai and Robotics

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Ai and Robotics Today

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Ai Today

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Super Intelligence

General Intelligence

Narrow Intelligence

1111

Ai Today

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Ai Impact

0 10 20 30 40 50 60 70 80 90 100

Lawyers

Musicians & singers

Reporters & correspondents

Nurses

Construction workers

Truck drivers

Personal financial advisors

Bartenders

Cooks, fast food

Security guards

Taxi drivers & chauffeurs

Movers & warehouse workers

Retail salespersons

Cleaners

Paralegals & legal assistants

Receptionists & administration clerks

Probability of automation (%)

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Implications on the Global Mining Industry

Automated Outsourced

Surveyor

This analysis identifies the following potential for jobs* in the mining industry to be:

Rock Drill Operator

*Note: These are preliminary numbers from the Future of Workforce Planning data model. Numbers are based on bespoke mapping of mining occupations to jobs as categorized by the Occupational Information Network (O*NET) developed under the sponsorship of the U.S. Department of Labor / Employment and Training Administration.

60%36%

17%63%

Haul Truck Driver 26%60%

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Implications for HR

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Implications for HR

Strategic Alignment and Workforce Determination

Key questions :

• What are your Organisations Strategic imperatives in the next 5 – 10 years?

• What must your workforce look like, in order to deliver on those imperatives?

Key deliverables/objectives:

• Define roles/ tasks

• Understand available technologies for Ai and automation

• Understand Financial implications

• Understand future state of technologies

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Implications for HR

Strategic Analysis and Redeployment

Key questions :

• What percentage of roles/ tasks can be automated with todays technology?

• What percentage of roles/ tasks can be automated with tomorrows technology?

• Which roles cannot?

Key deliverables/objectives:

• Identify skills/staff that can be easily retrained and redeployed

• Identify skills that will not be replaced

• Actively work towards an evolution of your workforce

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Q&A

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