Let The Machine Helps
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The document discusses virtual private assistants and how they can help automate mundane and repetitive tasks. It describes how virtual assistants can be applications, chatbots, or specialized hardware that act as personal assistants to help with daily activities like checking schedules, paying bills, and more. The document provides an example of using a chatbot named Meekan in Slack to easily schedule meetings between team members by accessing calendars and sending invitations. It outlines the components needed to build a virtual assistant like connecting it to third party services through APIs and using chatbot SDKs and NLP tools. The presentation encourages automating tasks with virtual assistants to increase productivity.
Let The Machine Helps
- 1. Let The Machine Helps Adityo Pratomo, Labtek Indie Google I/O Extended Bandung, 11 August 2017
- 2. A Story of Human • Human is a rich and complex entity • A potential to grow • Can tackle many problems as they grow older and smarter
- 3. However • Bad and at doing mundane, repeating tasks • Can results in bad quality of work or worse, accident
- 4. On the Other Hand • Our daily activities require us to do these mundane and repeating tasks Check water in the dispenser Check our trash bin Is the food ready yet? Pay recurring bills Check and update our schedule Etc.
- 5. Why not automate it?
- 6. Virtual Private Assistant • Technology that enables human to employ set of computer program to help them with their daily activities • Just like employing personal assistant, but in form of computer program • Can be anything: Mobile/Web app Chatbot that runs on top of messaging app Specialized hardware etc
- 7. Virtual Private Assistant • Its feature is highly dependent on what type of functionality you want to have • It can simply do one thing based on certain command • Or, it can process an input and give recommendations • You can build your own, or use a ready-made solution as a starting point
- 8. Inside the Machine Your backend Messaging Interface Message Processor AI for NLP Text/Voice Input Text- Speech 3rd Party Service Music Shop Email Calendar
- 9. Case Study • Meekan in Slack group to arrange meeting schedule between team members • It can read each member’s Google Calendar • “Meekan schedule meeting with @didit” Meekan gives several options, members can choose which are the best options • “Book it” Meekan sends meeting invitation to every members • We have a meeting, done with minimal fuss, right inside Slack
- 10. How To Make One? • Use various chatbot SDKs that can be applied to many platforms Usually available for many programming languages (JS, python, Ruby, etc.) • Use various SDKs for NLP to enrich the interaction • Add engine for Speech recognition • Connect to 3rd party data provider Google Calendar Gmail Spotify Etc. • Refer to each platforms features, each have different things that you can use
- 11. Some points • UX of these assistants • Privacy • Local research for AI-related topics
- 12. Let’s be More Productive • didit@labtekindie.com • labtekindie.com
- 13. Thank You • didit@labtekindie.com • labtekindie.com