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•
•FIN. DIGITAL
•PAGE # • PRESENTATION BY: MARCUS & RAKIA
Bots: The Unspoken
Challenge of
Conversations
we are UMA
Marcus Finley & Steve Milner
TechXLR8
• The State of Bots
• Bots in Action
• Bot Development Strategy
• Challenges of Bot Development
• Designing Conversations
• Enabling Speech-to-Text
• Design Intents & Responses
• Case Studies
What we’ll discuss
It’s a lot…we know
SAFE SPACE
THE STATE OF BOTS
Botsarethenewapps.
ConversationsarethenewUI.
AIistheprotocol.
Messagingappsarethenewbrowsers.
SAFE SPACE
• 85%
Ofcustomer
interactionsare
projectedtobe
managedwithouta
humanby2020.
(Gartner)
• 1.5B
Amountventure
capitalfirmsinvested
inAIasofMay2016.
(CBInsights)

THE STATE OF BOTS
SAFE SPACE THE STATE OF BOTS
• 90%
ofourtimeonmobile
isspentonemailand
messagingplatforms

• 16%
OfAmericanjobs
AIwillreplaceby
theendofthe
decade.
(Forrester)

Machine Learning (ML) vs Artificial Intelligence (AI)
• Machine learning and AI are not the same.
• AI is when a machine mimics “cognitive” functions
• ML is teaching machines to make decisions in
situations they have never seen.
•The most mainstream approach to ML is showing
the algorithm of a data set of situations and telling it
what the right decision is — training a model.
Buzzwords
Natural Language Processing (NLP)
•AI must communicate with humans as well as
humans communicate with each other.
•NLP is a huge priority and challenge in AI
research.
•Because human communication is not
straightforward. It’s a complex web and it
depends hugely on context.
Buzzwords
Buzzwords
Buzzwords
SAFE SPACE
BOTS IN ACTION
Rules-based bot:
•Can only respond to very specific commands
•Only as smart as you program it to be
Machine Learning/AI bots:
•Understanding language and not just commands
•Continuously gets smarter as it learns from
conversations
Hybrid Bots:
•Combination of programmed responses but
machine learning is applied. 

Bot Family
SAFE SPACE
EXPECTED BENEFITS OF BOTS
SAFE SPACE• BOTS IN ACTION:
Commerce Bots
SAFE SPACE•BOTS IN ACTION:
Customer Service
SAFE SPACE•BOTS IN ACTION:
Content Bot
SAFE SPACE • BOTS IN ACTION:
Productivity
There’s a bot for everything.
•Meeting notes: Clark.ai
•Meeting scheduling: x.ai
•Writes emails: Nala
•Manage goals and stats: Statsbot
•Sales assistant: Amplemarket
More Bots…
SAFE SPACE
BOT DEVELOPMENT STRATEGY
1. Identify the purpose of your bot
•Platform selections
•Limitation of platforms

2. Create intents

3. Integrate services

4. Train

5. Test

6. Deploy
Creating a Strategy
To learn most language all you need is 300
hundred words… that’s not enough for bots.

• What makes a bot valuable & sticky? 

• Speech-to-text

▪ Languages

▪ Names

• Intent recognition 

▪ Handle jargon

▪ Unforeseen intents

▪ Context

Challenges with Bots
But before we even get to vocabulary…
Challenges with Bots
Can you say my name?
SAFE SPACEChallenges:
Names
TARON PHOTO & VOICE
SAFE SPACEChallenges:
Names
TARON PHOTO & VOICE
SAFE SPACEChallenges:
Names
TARON PHOTO & VOICE
SAFE SPACE
DESIGNING CONVERSATIONS
• Like a human assistant, an AI assistant can only
be as smart as the information — the context —
you give it access to

• Context is king when it comes to complex tasks

• Predicting conservation pattern is essential

• Error handling
▪ What do you when the bot doesn’t know
what to say?
Context, Context, Context
Some things are better as buttons.
Card Design Pattern
• Define the context (location, time, etc.)
• Define bot role (instructor, concierge, advisor, etc.)
• User Journey Mapping
• Desired emotional connection (encouraging,
inspiring, empowering, etc.)
• Research other bot design patterns for solutions
• Write out the initial script of the conversations
Conversational UX Tips
SAFE SPACE
ENABLING SPEECH-TO-TEXT
• Native device handling (ie - iOS)
• Amazon Polly
▪ 34 different voice options
▪ Example of Inflections: Voice 1 & Voice 2
• Lyrebird (Under Development)
▪ Ability to copy a human voice and replicate
▪ Example: Voice Sample
Levels of Voice Quality
• Amazon Lex
• Azure bot tooling: https://www.luis.ai
• Google Cloud Speech (currently using)
▪ Asynchronous voice string to decrease the
response time
▪ Provide both voice and text response as
separate strings

STT Service for Bots
SAFE SPACEEXAMPLE OF SST ENDPOINT
SAFE SPACE
DESIGNING INTENTS & RESPONSES
• Intents are the framing of the contextual
questions being asked of the bot.
Defining Intents
SAFE SPACE
Some Bots We’ve Built…No Big Deal
SAFE SPACECASE STUDY: UMA - SIMPLIFIED INTELLIGENCE
FIN. DIGITAL
PAGE # PRESENTATION BY: MARCUS & RAKIA
SAFE SPACE
Q&A
BOTS ARE FUN - TRY IT!
Sign-up for a Google Home giveaway at: http://vyper.io/c/1211
FIN. DIGITAL
Resources
Microsoft - Bot Development Platforms
https://www.producthunt.com/posts/microsoft-bot-framework-2
Bot Builder
https://www.motion.ai/?ref=producthunt

https://smooch.io/integrations/motion-ai/?ref=producthunt
Facebook Messenger Bot
▪ https://octaneai.com/?ref=producthunt
Image Recognition AI
▪ https://www.producthunt.com/posts/vize-ai-custom-vision-api
Learning more on bots and AI
▪ http://aireads.top/?ref=producthunt
FIN. DIGITAL
Bot Examples
FIN. DIGITAL
Bot Examples

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Bots: The Unspoken Challenge of Conversations

  • 1. • •FIN. DIGITAL •PAGE # • PRESENTATION BY: MARCUS & RAKIA Bots: The Unspoken Challenge of Conversations we are UMA Marcus Finley & Steve Milner TechXLR8
  • 2. • The State of Bots • Bots in Action • Bot Development Strategy • Challenges of Bot Development • Designing Conversations • Enabling Speech-to-Text • Design Intents & Responses • Case Studies What we’ll discuss It’s a lot…we know
  • 3. SAFE SPACE THE STATE OF BOTS Botsarethenewapps. ConversationsarethenewUI. AIistheprotocol. Messagingappsarethenewbrowsers.
  • 4. SAFE SPACE • 85% Ofcustomer interactionsare projectedtobe managedwithouta humanby2020. (Gartner) • 1.5B Amountventure capitalfirmsinvested inAIasofMay2016. (CBInsights)
 THE STATE OF BOTS
  • 5. SAFE SPACE THE STATE OF BOTS • 90% ofourtimeonmobile isspentonemailand messagingplatforms
 • 16% OfAmericanjobs AIwillreplaceby theendofthe decade. (Forrester)

  • 6. Machine Learning (ML) vs Artificial Intelligence (AI) • Machine learning and AI are not the same. • AI is when a machine mimics “cognitive” functions • ML is teaching machines to make decisions in situations they have never seen. •The most mainstream approach to ML is showing the algorithm of a data set of situations and telling it what the right decision is — training a model. Buzzwords
  • 7. Natural Language Processing (NLP) •AI must communicate with humans as well as humans communicate with each other. •NLP is a huge priority and challenge in AI research. •Because human communication is not straightforward. It’s a complex web and it depends hugely on context. Buzzwords
  • 11. Rules-based bot: •Can only respond to very specific commands •Only as smart as you program it to be Machine Learning/AI bots: •Understanding language and not just commands •Continuously gets smarter as it learns from conversations Hybrid Bots: •Combination of programmed responses but machine learning is applied. 
 Bot Family
  • 13. SAFE SPACE• BOTS IN ACTION: Commerce Bots
  • 14. SAFE SPACE•BOTS IN ACTION: Customer Service
  • 15. SAFE SPACE•BOTS IN ACTION: Content Bot
  • 16. SAFE SPACE • BOTS IN ACTION: Productivity
  • 17. There’s a bot for everything. •Meeting notes: Clark.ai •Meeting scheduling: x.ai •Writes emails: Nala •Manage goals and stats: Statsbot •Sales assistant: Amplemarket More Bots…
  • 19. 1. Identify the purpose of your bot •Platform selections •Limitation of platforms
 2. Create intents
 3. Integrate services
 4. Train
 5. Test
 6. Deploy Creating a Strategy
  • 20. To learn most language all you need is 300 hundred words… that’s not enough for bots.
 • What makes a bot valuable & sticky? 
 • Speech-to-text
 ▪ Languages
 ▪ Names
 • Intent recognition 
 ▪ Handle jargon
 ▪ Unforeseen intents
 ▪ Context
 Challenges with Bots
  • 21. But before we even get to vocabulary… Challenges with Bots Can you say my name?
  • 26. • Like a human assistant, an AI assistant can only be as smart as the information — the context — you give it access to
 • Context is king when it comes to complex tasks
 • Predicting conservation pattern is essential
 • Error handling ▪ What do you when the bot doesn’t know what to say? Context, Context, Context
  • 27. Some things are better as buttons. Card Design Pattern
  • 28. • Define the context (location, time, etc.) • Define bot role (instructor, concierge, advisor, etc.) • User Journey Mapping • Desired emotional connection (encouraging, inspiring, empowering, etc.) • Research other bot design patterns for solutions • Write out the initial script of the conversations Conversational UX Tips
  • 30. • Native device handling (ie - iOS) • Amazon Polly ▪ 34 different voice options ▪ Example of Inflections: Voice 1 & Voice 2 • Lyrebird (Under Development) ▪ Ability to copy a human voice and replicate ▪ Example: Voice Sample Levels of Voice Quality
  • 31. • Amazon Lex • Azure bot tooling: https://www.luis.ai • Google Cloud Speech (currently using) ▪ Asynchronous voice string to decrease the response time ▪ Provide both voice and text response as separate strings
 STT Service for Bots
  • 32. SAFE SPACEEXAMPLE OF SST ENDPOINT
  • 34. • Intents are the framing of the contextual questions being asked of the bot. Defining Intents
  • 35. SAFE SPACE Some Bots We’ve Built…No Big Deal
  • 36. SAFE SPACECASE STUDY: UMA - SIMPLIFIED INTELLIGENCE
  • 37. FIN. DIGITAL PAGE # PRESENTATION BY: MARCUS & RAKIA
  • 38. SAFE SPACE Q&A BOTS ARE FUN - TRY IT! Sign-up for a Google Home giveaway at: http://vyper.io/c/1211
  • 39. FIN. DIGITAL Resources Microsoft - Bot Development Platforms https://www.producthunt.com/posts/microsoft-bot-framework-2 Bot Builder https://www.motion.ai/?ref=producthunt
 https://smooch.io/integrations/motion-ai/?ref=producthunt Facebook Messenger Bot ▪ https://octaneai.com/?ref=producthunt Image Recognition AI ▪ https://www.producthunt.com/posts/vize-ai-custom-vision-api Learning more on bots and AI ▪ http://aireads.top/?ref=producthunt