A high-level presentation on the evolution and outlook on conversational agents.

1. The age of conversational interfaces

2. Hi, we are faction xyz
We are an applied A.I. service provider
http://www.faction.xyz - @factionxyz

3. Difficult to ignore the
conversational opportunity
With billions of users exchanging messages and interacting with
each other over messaging platforms, a business can no longer
ignore the potential and opportunity of getting hands-on with “chat
bots”.

4. Over 94% understanding
Technology maturity
New and improved methods for natural language understanding
have produced unprecedented levels of accuracy in understanding
and dealing with natural language.
Channel maturity
With over 1 billion users, exchanging over 60 billion messages per
day on Facebook and WhatsApp, and spending over 1 hour per day
on messaging platforms,
Over 60 billion messages / day

7. A brief history of
conversational agents
Personal assistants, virtual agents, chat bots or conversational
agents. However you want to call this technology, they all hint for
the need for humans to interact with machines in a more natural and
frictionless manner when dealing with complex interactions.

8. 1966, ELIZA by MIT
AI Labs
1972, PARRY by
Stanford University
1988, Jabberwacky by
Rollo Carpenter
1992, Dr. Sbaitso by
Creative Technology
1995, ALICE by Richard
Wallace
2006, Watson by IBM2008, Siri by Apple
2012, Google Now by
Google
2015, Alexa by Amazon
2015, Cortana by
Microsoft
1950
Alan Turing on Computing
Machinery and Intelligence
1957
Noam Chomsky on Syntactic
Structures
1969
Roger Schank on conceptual
dependency theory for NLU
1970
William Woods on augmented
transition networks
1990s
General use of machine learning
boosts NLP methods
> 2006
Use of deep learning, increased
CPU and data

9. Building the frictionless
customer experience
A seamless user experience between machine and human is the
general objective for any company that is using technology to scale
their business or deliver a competitive service to their constituents.
While mobile has trumped web in terms of usability by using tactile
interfaces, conversational interfaces might trump mobile by using
natural language.

10. The evolution of shrinking interfaces
Size of a room
Mainframe
Fits in your hand
Smartphone
Fits in a bag
Desk & Laptops
Fits on your wrist
Wearables
Pervasive interfaces
Invisibles

11. The types of conversational interfaces
Dedicated
Messaging
Voice HUBs
Appliances
Integrated
Smartphone
Existing Channels
Traditional

12. The conversational channel strategy

13. The types of conversations
AGENT
Geneys, etc.
SOCIAL
SparkCentral, etc.
INTELLIGENT
Chatlayer, etc.
One to one manual
conversations between
user and agent
Supporting users
through social channels
Using A.I. to automate
conversations

14. The support business case
Lowering the support cost through natural language processing (NLP) and automating the conversation,
so that the bulk of the load is handled by automated and intelligent platforms. Built on ROI. Reach an
ROI in less than a year (*), making a positive business case.

15. The user experience & brand case
Increase brand visibility and proximity through new and innovative conversational user experiences.
Reduce churn, increase conversions or raise brand awareness. Built on vision.

16. Top 5 learnings of having
built over dozens of bots
Some of our learnings over the past five years, condensed in five
bullet points.

17. The UI elements of a conversation is text

18. Narrow now. Expand later.

19. Develop a personality without the uncanny valley

20. Is it faster through a click or just a gimmick?

21. Sometimes people want to talk to … people

22. The components of a successful chatbot
UI
Voice, SMS, Facebook, …
AI
NLP, NLG, Context, …
SI
Backend, API, …
Develop a fitting channel
for your user
Use a context-aware
natural language
processing engine
Integrate into data
and intelligent
backends

23. Using chatlayer to build a
successful interface
Selecting a solid enterprise platform to build a versatile and
intelligent conversational interface is a key differentiator when
formulating a conversational strategy.

24. Use a context-aware natural language processing (NLP) to build enterprise
graded conversational solutions.
Features:
• Design conversational flows in a graphical interface
• Train the NLP engine in a user friendly manner
• Handle context-aware conversations
• …
Conversational platform:
Chatlayer

26. The Artificial Intelligence
state of affairs

27. Intents, entities, and flows.

28. Inside an NLP engine

29. Contact Us
Address:
Faction XYZ
Rijnkaai 37 Bus 19
2000 Antwerp
Phone:
+32 3 500 87 09
Mail:
info@faction.xyz
info@chatlayer.ai