She Sharp - An Evening with Google

Brought to you by She Sharp and Google

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Monday, March 21, 2016


About 100 attendees joined SheSharp and Google team from Sydney for an evening at GridAKL. The first session addressed the issue of unconscious bias with Google sharing their training and knowledge around this area. This proved to be a great insight into how one of the biggest tech companies in the world is addressing the issue of diversity.

After a short break of pizza and networking the google team jumped into the second session which was a more up close and personal. Each of the Googlers shared how they ended up working for Google, what their roles were, the office and culture.

During the evening students attending were highly encouraged to apply for Google internships and scholarships such as The Google Anita Borg Memorial Scholarship: Asia Pacific for university students and the Google Anita Borg Memorial Scholarship for First Years for high school students in their last year of study.

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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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