FutureWork with AI : Enterprise AI S/W
YJ Min
CEO & Co-founder of Konolabs
yj@kono.ai | kono.ai
Thanks to deep learning and other advanced
in AI machine learning catching up to the human mind
faster than expected.
- SAP Digital Future No. 29
Where AI wins?
• Doing the same things over and over again
• Processing and evaluating patterns in big data
• Repetitive tasks and solving problems that involve
crunching large, well-organized data sets
Where Human wins?
• Understand context or nuance
• Empathy & Sympathy
• Dealing with ambiguity and gray areas
90% of workers said that they believe younger
generations will need new skills to succeed as AI
becomes more common in the workplace.
-Genpact, 2017
AI should help people work
faster, more efficiently and more safely.
Enterprise AI S/W
IT spending on enterprise software worldwide, from 2009 to 2019
(in billion U.S. dollars)
AI for CRM :
https://www.salesforce.com/products/einstein/overview/
AI for BI :
https://www.domo.com/
AI & ML Platform
https://www.sap.com/products/leonardo/machine-learning.html#video=f0138fcb-
ba7c-0010-82c7-eda71af511fa
Document Management
https://www.youtube.com/watch?v=UToca8tdGbc
Recruitment
https://www.youtube.com/watch?v=QrPWaj_YDAw
Contractor Management for Field Services
https://www.youtube.com/watch?v=699TUU0VZR4
• Productivity
• Customer Management
• HR & Talent
• B2B Sales & Marketing
• Consumer Marketing
• Finance & Operation
• Digital Commerce
• Data Science
• Engineering
• Security & Risk
• Industrials & Manufacturing
• Business Intelligence
• Data driven application
• Analytics Drive Innovation; Predictive Analytics
• Intelligent Machines and Pattern Recognition
• Natural Ways
Characteristic
Kono is an AI-powered appointment scheduling service for businesses
Kono Main Skills
Scheduling Request Coordinate times
& meeting details
Synchronizing calendars
External guests
Internal guests
Read/Write
calendars
Synchronizing calendars
Kono Email-Bot
• No Install/Download for both guests inside &
outside of company
• Finds optimal days & times by understanding
contexts of each event requests
• Seamless Web-apps reflecting real-time
changes
Try Out for Free Now ! https://kono.ai
Kono Team Scheduler for Slack
Schedule a meeting or call in
few seconds
Read my events on calendars
Allow cross-communication
between chat-bot & email-bot
Try Out for Free Now ! https://kono.ai/slack
Kono Concierge for Booking
1. Add your staffs’ calendars
2. Add Kono Booking Bot on your Social Media pages
3. Done!
● Doc2Vec for scheduling
● Event category on Doc2Vec
● Multi-Task Neural Network Model
● # of events : 7,368,283
● 9 classes & others
○ Social & Fun
○ Person name
○ Reservation
○ Business & Work
○ Flight & Trip
○ Interview
○ Startup
○ Sports outdoor
○ Time
○ OTHER
Input(Query or Title) -> Output(Event Type Class)
(As Of Dec 2017)
Event Type Classification
End-to-end learning model for finding optimal days & times & right actions
Core Technology - ML Engine for Context Prediction
Input(Scheduling Queries, Given Time Contexts, Calendar Data) -> Output(Actions | Time Contexts)
Schedule Simple, Get $aved
yj@kono.ai | kono.ai

Future work with AI : Enterprise AI S/W

  • 1.
    FutureWork with AI: Enterprise AI S/W YJ Min CEO & Co-founder of Konolabs yj@kono.ai | kono.ai
  • 2.
    Thanks to deeplearning and other advanced in AI machine learning catching up to the human mind faster than expected. - SAP Digital Future No. 29
  • 3.
  • 4.
    • Doing thesame things over and over again • Processing and evaluating patterns in big data • Repetitive tasks and solving problems that involve crunching large, well-organized data sets
  • 5.
  • 6.
    • Understand contextor nuance • Empathy & Sympathy • Dealing with ambiguity and gray areas
  • 7.
    90% of workerssaid that they believe younger generations will need new skills to succeed as AI becomes more common in the workplace. -Genpact, 2017
  • 8.
    AI should helppeople work faster, more efficiently and more safely.
  • 9.
  • 10.
    IT spending onenterprise software worldwide, from 2009 to 2019 (in billion U.S. dollars)
  • 11.
    AI for CRM: https://www.salesforce.com/products/einstein/overview/ AI for BI : https://www.domo.com/ AI & ML Platform https://www.sap.com/products/leonardo/machine-learning.html#video=f0138fcb- ba7c-0010-82c7-eda71af511fa
  • 12.
  • 13.
    • Productivity • CustomerManagement • HR & Talent • B2B Sales & Marketing • Consumer Marketing • Finance & Operation • Digital Commerce • Data Science • Engineering • Security & Risk • Industrials & Manufacturing • Business Intelligence
  • 14.
    • Data drivenapplication • Analytics Drive Innovation; Predictive Analytics • Intelligent Machines and Pattern Recognition • Natural Ways Characteristic
  • 15.
    Kono is anAI-powered appointment scheduling service for businesses Kono Main Skills Scheduling Request Coordinate times & meeting details Synchronizing calendars External guests Internal guests Read/Write calendars Synchronizing calendars
  • 16.
    Kono Email-Bot • NoInstall/Download for both guests inside & outside of company • Finds optimal days & times by understanding contexts of each event requests • Seamless Web-apps reflecting real-time changes Try Out for Free Now ! https://kono.ai
  • 17.
    Kono Team Schedulerfor Slack Schedule a meeting or call in few seconds Read my events on calendars Allow cross-communication between chat-bot & email-bot Try Out for Free Now ! https://kono.ai/slack
  • 18.
    Kono Concierge forBooking 1. Add your staffs’ calendars 2. Add Kono Booking Bot on your Social Media pages 3. Done!
  • 19.
    ● Doc2Vec forscheduling ● Event category on Doc2Vec ● Multi-Task Neural Network Model ● # of events : 7,368,283 ● 9 classes & others ○ Social & Fun ○ Person name ○ Reservation ○ Business & Work ○ Flight & Trip ○ Interview ○ Startup ○ Sports outdoor ○ Time ○ OTHER Input(Query or Title) -> Output(Event Type Class) (As Of Dec 2017) Event Type Classification
  • 20.
    End-to-end learning modelfor finding optimal days & times & right actions Core Technology - ML Engine for Context Prediction Input(Scheduling Queries, Given Time Contexts, Calendar Data) -> Output(Actions | Time Contexts)
  • 21.
    Schedule Simple, Get$aved yj@kono.ai | kono.ai