Imagine Zone - TechWeek

SheSharp and Women in Tech (AUT) were at ‘The Imagine Zone,’ which is the space for ākonga (learners) to touch, feel, see and imagine their future in tech.

Kids drawing at a booth

Monday, May 24, 2021

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The Ministry of Education and NZTech partnered up to host the Tech21 Summit, to inspire ākonga (learners) into technology careers. The one day Summit aimed to spark inspiration for year 7–10  ākonga while showcasing tech innovation and creativity, plus offering the opportunity to find out more about Technology Learning career pathways.

The Tech21 Summit had a number of young entrepreneurs and digital disruptors sharing their stories with more than a thousand 12 to 14 year olds to inspire them into a career in tech. Plus, a special live performance by Kings at Tech21!

SheSharp and Women in Tech (AUT) were at ‘The Imagine Zone,’ which is the space for ākonga (learners) to touch, feel, see and imagine their future in tech. We connected ākonga and tech sector – navigating through our digital future.

Kids drawing at a booth

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WHAT TO EXPECT ON THE DAY

Check out the Agenda

AI USE CASES

Problem: Manual analysis of customer feedback is laborious and prone to bias.

Solution: An AI system that can generate automated summaries of customer feedback, highlighting key themes, actionable suggestions, and relevant statistics.

Problem: Creating and maintaining training materials for new technology platforms is time-consuming.

Solution: An AI system that can reformat, recompile, and update various media types, reducing timeframes and increasing efficiency

Problem: Manual checking and marking of VOU documents is prone to error and time-consuming.

Solution: An AI system that can automatically mark VOUs against an answer sheet and populate relevant metadata into a spreadsheet.

Problem: Manual extraction of information for weekly SAP update emails is time-consuming.

Solution: An AI system that can draft automated emails using predefined templates and populate relevant metadata from an excel export.

Problem: Finding consistent answers to marketing-related questions is challenging.

Solution: A centralized location where all relevant marketing knowledge material is stored and can be interacted with via a human language interface.

Problem: Creating thumbnails for PDFs in the central storage location is labor-intensive.

Solution: An AI system that can automate the thumbnail creation process.

Problem: Writing test protocols and testing summaries is labor-intensive.

Solution: An AI system that can automatically formulate test protocols and summaries from provided requirements and test evidence

Problem: Updating and standardizing procedures is time-consuming.

Solution: An AI system that can extract key points from existing procedures and reproduce a draft procedure in a new template

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