Debut of Social/Hack bridges IoT, Work & Training

17 October, 2017 / Admin

 

MEDIA RELEASE

 

 

 

SYDNEY, 17 OCTOBER 2017 - The economic opportunities between IoT, work and training are significant in Australia. Yesterday, Monday 16 October 2017, as part of the Social/Hack forum series, the 'IoT & Work' event explored the potential impact of IoT on the Australian workforce at the Lendlease head office in Barangaroo, Sydney. 

 

The Architecture, Engineering and Construction (AEC) industries are increasingly focused on continuing professional development, process automation and Building Information Modelling (BIM). IoT & Work explored ideas about adding sensors, hardware and software to tools, equipment and machines so they could detect performance anomalies and skills gaps, suggest real-time micro-lessons and improve productivity.

 

The inaugural IoT & Work forum was presented by many high calibre speakers.

 

 

FIRST PANEL SPEAKERS





Bryson Vaughan

Co-founder,

Benojo

Barbara Burke

Partnership

Manager,

Reach

Natalie

Yan-Chatonsky

Founder,

Full Time Lives

Cindy Reid

Head of People,

Konica Minolta

 

 

 

 

 

 

 

 

 

 

 

 

 

SECOND PANEL SPEAKERS





Nicki Hutley

Partner,

Deloitte Access

Economics

Dr Nigel Finch

Director,

Saki Partners

Paul Keen

Head of Software

Engineering,

Qantas

Tamer Galil

Lead Business

Analyst,

Woolworths

 

 

 

 

 

 

 

 

 

 

 





Amar Singh

President,

Turbans for

Australia

Renald Gallis

Vice-President

Ecosystem &

Marketing

Thinxtra

 


 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

EVENT HIGHLIGHTS

 

 

 

EVENT SUMMARY

 

Social/Hack: IoT & Food

When: Monday, 16th October 2017

Producer: PIIP

Venue: Lendlease

Host: Benojo

Partner: Spark Festival

Agenda: Mature-age employment and training in the age of automation. Vocational training and continued professional development are explored by a panel of experts in relation to 'smart' tools and eLearning. A key discussion is how to embed hardware, software and sensors into tools and machines so they can detect skills gaps, suggest micro-lessons and drive productivity in a maturing workforce.