The Age of Conversational Agents

Preview:

Citation preview

The age of conversational interfaces

Drop Your Picture HereHi, we are faction xyz

We are an applied A.I. service provider

http://www.faction.xyz - @factionxyz

Difficult to ignore the conversational opportunityWith 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”.

Over 94% understandingTechnology 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

A brief history of conversational agentsPersonal 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.

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

1950Alan Turing on Computing Machinery and Intelligence

1957Noam Chomsky on Syntactic Structures

1969Roger Schank on conceptual dependency theory for NLU

1970William Woods on augmented transition networks

1990sGeneral use of machine learning boosts NLP methods

> 2006Use of deep learning, increased CPU and data

Building the frictionless customer experienceA 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.

The evolution of shrinking interfaces

Size of a roomMainframe

Fits in your handSmartphone

Fits in a bagDesk & Laptops

Fits on your wristWearables

Pervasive interfacesInvisibles

The types of conversational interfaces

DedicatedMessaging

Voice HUBsAppliances

IntegratedSmartphone

Existing ChannelsTraditional

The conversational channel strategy

The types of conversations

AGENTGeneys, etc.

SOCIALSparkCentral, etc.

INTELLIGENTChatlayer, etc.

One to one manual conversations

between user and agent

Supporting users through social

channels

Using A.I. to automate

conversations

Drop Your Picture Here

The support business caseLowering 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.

Drop Your Picture Here

The user experience & brand caseIncrease brand visibility and proximity through new and innovative conversational user

experiences. Reduce churn, increase conversions or raise brand awareness. Built on vision.

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

The UI elements of a conversation is text

Narrow now. Expand later.

Develop a personality without the uncanny valley

Is it faster through a click or just a gimmick?

Sometimes people want to talk to … people

The components of a successful chatbot

UIVoice, SMS, Facebook, …

AINLP, NLG, Context, …

SIBackend, API, …

Develop a fitting channel for your user

Use a context-aware natural language processing engine

Integrate into data and intelligent

backends

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

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

The Artificial Intelligence state of affairs

Intents, entities, and flows.

Inside an NLP engine

Contact Us

Address:

Faction XYZRijnkaai 37 Bus 192000 Antwerp

Phone:+32 3 500 87 09

Mail:info@faction.xyz

info@chatlayer.ai

Recommended