Technologies

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What’s a Virtual Assistants?

Natural Language Processing is one of the major players in the arena of

Artificial Intelligence (AI). It helps machines understand human languages,

extract knowledge from text, or produce human understandable speech.

Virtual Assistants are programs which leverage NLP and can perform tasks

based on the input provided by humans. They can solve real world problems

like answer frequently asked questions, start repetitive tasks, and provide

innovative access points to services offered by brands and businesses.

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Points of Contact

• Instant messengers;

• SMS / MMS;

• Voice calls and DTMF menus replacements;

• Embedded into existing smartphones, applications and

websites;

• IoT: smart house devices & smart speakers;

• Wearables: smart watches;

• Car infotainment systems.

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Cost effective compared to traditional SMS / Voice calls;

Rich controls and features compared to SMS / Voice calls;

No need to invest to messaging infrastructure;

Available human resources for more creative and important

tasks.

•CRM Assistant Demo

CRM Assistant

Ask complex questions using natural language letting the system to figure out what it should do to give

you an answer.

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“How are sales going this month for department A?”

Sum sales records filtered by date between 9/1/2017 and 9/23/2017 department = A

CRM Assistant Architecture

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• Multiple communication channels:

voice and text

• Understands natural language

• Rich database queries

• Two-factor authentication (2FA) via

SMS powered by Tyntec

• Integration via web-services

Google Cloud

Dialogflow

Google

AssistantSkype

Salesforce Cloud

Heroku

Node.JS AppCall

Webhook

Salesforce

CRM

Database

Tintec

2-Factor

Authentication

Service

Gender by Name

Service

gender-api.com

SMS

https://www.tyntec.com/

CRM Assistant – Smart Search

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DataArt CRM Digital Assistant uses the Salesforce to track contacts, accounts, etc. Often

salesperson don’t remember a full name of a contact. Digital assistant helps to quickly find relevant

information interacting with the user via texting channels (Skype, Slack etc.).

Assistant constructs an answer in a smart way, avoiding repetition of the information which

salesperson already knows. So if first and last names have been mentioned in the conversation

assistant replaces them with he/she in response, or it might omit company name (if it is already

known).

“How are sales going this month for department A?”

Sum sales records filtered by date between 9/1/2017 and 9/23/2017 department = A

CRM Assistant – Keeping Context

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DataArt CRM Digital Assistant can remember the current conversation context. This lets the assistant

to figure out what user wants even if query is not clear enough.

This makes assistant’s behavior similar to human being and relieves salesperson from the necessity

to repeat the same query parameters again and again.

“What’s his phone number?”

contact name = ‘Arthur Clarke’

“Who is Arthur Clarke?”

CRM Assistant – Security/Audit

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DataArt CRM Digital Assistant protects sensitive data from unauthorized access.

In addition to applying access rules, assistant uses two-factor authentication to verify that an

individual is permitted to get his/her question answered.

Every performed action is auditable and could be kept in logs for future investigation

“Please tell me OTP verification code I’ve sent to you…”

“Please tell me Arthur Clarke’s mobile number?”

“Sure, here it is: 7890”

•Telehealth Transcription Demo

Technologies

12

R&D initiative. Telemedicine App

Story:

Inbound telehealth calls are

first processed by an

assistant, who with the help of

AI, defines patient’s acuity

and gets relevant information

before getting call to

physician

Background:

Initially started as a telehealth

platform research, it was

enhanced with speech

recognition capabilities and

we found a company Health

Navigator who was interested

in the solution as well, that

resulted in joint venture

Introducing AI to clinical care

R&D initiative. Telemedicine App

Features:

• Get patient’s details into view, including current

medications, allergies and more

• Automatically recognize dialog and store it as text

with playback ability after call ends

• Use Natural Language Processing for identification

of Core Complains

• Decision support system for automated acuity

tracking and suggesting follow-up questions

• Use data collected to automatically create encounter

reports, saving physicians time

Technology Stack:

• WPF application with rich UI and smooth

animations

• Support of standard WebRTC protocol for

teleconferencing

• Watson Speech to Text service

• Health Navigator’s Natural Language Processing

Engine

• Health Navigator’s Clinical Decision Support

Engine

dataart innovation showcase omni-channel bots

Technology