Technology Lab June 2020 - Can intelligent technologies actually improve search? - Workgrid
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Intranet and digital workplace search. Presentation by Workgrid during the DWG Technology Lab of June 17, 2020. Brought to you by the DWG Technology & Research Institute.
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Technology Lab June 2020 - Can intelligent technologies actually improve search? - Workgrid
- 2. 2 Gillian McCann Co-Founder & CTO Frank Pathyil Director of Strategy & Partnerships
- 3. 3 Agenda 01 The gap between enterprise and consumer search 02 The vision for search and intelligent technology
- 4. 4 Personalized Search As consumers we’re accustomed to personalized search – location, search history Goodbye Keywords, Hello Queries Search is changing from keywords to natural language queries – what, why, how, when Voice is on the Rise In the wake of Covid-19, touchless search options are more critical than ever Image Search Searching for products based on a picture you saw in a magazine The gap between enterprise and consumer search Hey Google – Who is the president? Hey Google – What’s the score for the Mets game? Alexa – What’s the weather this weekend? Alexa – Find recipe for cotton candy cupcakes
- 5. 5 Discussion 1 • How satisfied are you with your current search capabilities? • What are the core issues you’re having with search? • What are you doing to make it easier for people to find info? • How much work do you currently put into managing and improving your existing search functionality?
- 6. 6 Answers. Not Links. Our Vision for Search
- 7. 7 Extracting Answers from Documents & Knowledge Base The Future of Finding Answers • Where can I find the maternity leave policy? • How long is maternity leave? • How long can I take off when having a baby? • How much is statutory maternity pay? • Does my health insurance extend to pregnancy? • Am I entitled to leave if my wife is having a baby • What is the maximum time I can take off when having a baby? Documents
- 8. 8 Intelligent Technologies • Semantic Search • Understanding I’m having a baby is the same as maternity leave • Machine Reading Comprehension • Finding the answer “maternity leave is 12 weeks” in a document titled "HR Policy 2020" • Natural Language Search • Having a conversation to find answers by clarifying your intent
- 9. 9 Systems Extracting Answers from Enterprise Systems Beyond Search : Dynamic Answers • What's on my calendar? • What is the status of my IT Help Desk ticket? • Who is Gillian McCann's manager? • Which sale’s rep is performing best this month? • What's the weather at the office? • What is the current price of Sku#3456UX?
- 10. 10 The bot understands the intent of question: Can I access the office? and accesses a set of prebuilt answers. The bot ALSO understands a possible question related to chair policy. The bot accesses an HR policy around home equipment that limits expenses to $100/yr for chairs if you qualify. It further understands that I qualify. It also finds a policy that lets us use a corporate system to order a chair. It composes a choice. The bot sends a request in the corporate purchasing system and an approval is routed to my manager. Answers + Actions = Assistant
- 11. 11 Discussion 2 • How can this change your business? • What aspects of this are most feasible for you to implement at your workforce in the next few years? • What are the challenges/roadblocks to getting this deployed within your organization?
- 12. 12 Gillian McCann Co-Founder & CTO @othergill Frank Pathyil Director of Strategy & Partnerships @FP_working Thank you!