Brought to you by She Sharp and Orion Health

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Saturday, February 25, 2017


Over 50 (mainly high school students) joined us for our first She# event of 2017 held at Orion Health. We started the workshop with some ice breakers and team building games so everyone became for comfortable and familiar with one another.

Using the workbooks and USB’s provided, students worked in pairs or individually to create a game using the platform Construct 2. After a morning of writing code and testing the game we broke for lunch refueling on pizza! This was then followed by a presentation by our guest speaker, Niamh Fitzgerald, a game developer and Media Design Student. Niamh shared her experience and insight into the NZ game development scene – she became an instant hit with the students with a prolonged and very positive and interactive Q&A session.

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Check out the Agenda


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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