SlideShare a Scribd company logo
Understanding Human Conversations
Rajath D. M., March 2021
WALK AND TALK
We still talk a lot...
We still talk a lot...
And there’s a lot of untapped knowledge...
Here comes AI 🤖
Here comes AI 🤖
Good for Object/Pattern/Speech Recognition
But not really!
What about Conversations?
Human to Human Human to Machine
H2H H2M
Conversational in Nature
Highly Unstructured
Flow of conversation not predefined
Context and purpose is dynamic
Transactional in Nature
Pretty Structured
Pre-defined flow of conversation
Context and purpose is static
Existing Conversational AI Systems
Built on the state of the art deep learning
systems like GPT3, BERT
Mostly Intent-based systems that act on a
defined scope
Needs training data
“We must refocus, working towards developing a
framework for building systems that can routinely
acquire, represent, and manipulate abstract
knowledge, using that knowledge in the service of
building, updating, and reasoning over complex,
internal models of the external world.”
Gary Marcus,MIT, Reboot.ai
How can we solve the problem?
Will require…
● General Context-Awareness
● Model all Aspects of Unstructured Conversation
● Dynamic Conversation Adaptation
● Unbiased Information Modelling
● Conversation specific outcomes
● Self-calibration
Analyzing Open Domain Conversations
How do business start implementing
conversational intelligence?
Start with Speech
Recognition
Data-science strategy...
● Rule-based
● Domain-specific
● Intent based
● Open Domain
Choose between...
● Real Time and Asynchronous
● Languages and Dialects,
● Channels, Audio Quality
Build intelligence Train & maintain the
model
Continuous Improvement...
● Gather training data
● Reduce biases
● Feedback loop
● Data Engineering
1 2 3
Other aspects to consider
➔ Training Data: Ensure high quality, Unbiased data
➔ Building the Model: Analyze and conduct data science experiments to get to
production
➔ Too Many Models: (Analyze, Build, Deploy, Scale, Maintain) x number of models
➔ User Experience: UX Research, Time to design and develop UI, Maintain the UI
➔ Build backend around the AI systems: Build and Maintain for real time streaming /
batch
➔ Integrating with Communication Channels: Build and Maintain Complex integrations
with Telephony and other third party dialers / channels
➔ Scaling for other types of conversation - start with one type and scale to more
Symbl: How it works?
Voice & Video API
Real-time or Async
Text API
Async
● Telephony
● Websocket
● REST
Calibration API
Conversation API
User Experience API
● Transcription
● Speaker Metrics
● Timeline
● Contextual Topics
● Action Items
● Entities
● Sentiment
● Topic Hierarchy
● Questions
● Calendar Invites
1 2 3 4
INGEST YOUR DATA INTEGRATE TO YOUR
CHANNEL
GENERATE INSIGHTS BUILD YOUR
DIFFERENTIATED
EXPERIENCE
Deep Understanding
Best of both worlds: Deep Learning (Semi/Supervised) and Classical AI (Unsupervised)
Mathematical & Statistical
systems can help with inference
Deep Learning systems can
help with pattern recognition
Build Differentiated Experiences
Using Pre-built UI
Coming soon - Symbl JS Elements!!
Getting Started
Join our Developer community on Slack
Get your TADHack credits early by email - tadhack@symbl.ai
Create an account on
https://symbl.ai
Retrieve your API
Credentials
Headover to API
documentation
Sales/CRM Intelligence
Using Recordings or
Real Time Calls
Real Time Updates to
CRM
➔ Topics
➔ Follow-Ups
➔ Question
➔ + Email Context
➔ + All Context
Aggregated
Intelligence for
Managers
E-Learning Integration
Using Lecture or
Session Recordings
Index or Clip Video
Recordings
➔ Topics
➔ Follow-Ups
➔ Question
➔ Sentiments
➔ Action Items
Search and Navigate
Videos by Context
Contact Center
Using Lecture or
Session Recordings
Index or Clip Video
Recordings
➔ Topics
➔ Follow-Ups
➔ Question
➔ Sentiments
➔ Action Items
Search and Navigate
Videos by Context
Symbl - Conversational Intelligence APIs
💸 Eliminate cost and
complexity ⏱ Reduce time to
market
🛡 Built on Secure Infrastructure
💻 Developer-first platforms
📖 No Upfront Training
https://github.com/symblai
https://docs.symbl.ai/
Capability specific demo
Thank you!
Questions?

More Related Content

More from Rajath D M

API product strategy - Intro to Internal, External APIs and Developer Platforms
API product strategy - Intro to Internal, External APIs and Developer PlatformsAPI product strategy - Intro to Internal, External APIs and Developer Platforms
API product strategy - Intro to Internal, External APIs and Developer Platforms
Rajath D M
 
DM - 2020 Calendar - Free Download
DM - 2020 Calendar - Free DownloadDM - 2020 Calendar - Free Download
DM - 2020 Calendar - Free Download
Rajath D M
 
Datasense Concept - Detailed customer view
Datasense Concept - Detailed customer viewDatasense Concept - Detailed customer view
Datasense Concept - Detailed customer view
Rajath D M
 
Quick Intro to SDG presentation (Hindi) - Jan 2019
Quick Intro to SDG presentation (Hindi) - Jan 2019Quick Intro to SDG presentation (Hindi) - Jan 2019
Quick Intro to SDG presentation (Hindi) - Jan 2019
Rajath D M
 
Digital Marketing Proposal for 'Academy for Innovation and Management'
Digital Marketing Proposal for 'Academy for Innovation and Management'Digital Marketing Proposal for 'Academy for Innovation and Management'
Digital Marketing Proposal for 'Academy for Innovation and Management'
Rajath D M
 
Growth Strategy for Collect 2.0 by SocialCops
Growth Strategy for Collect 2.0 by SocialCopsGrowth Strategy for Collect 2.0 by SocialCops
Growth Strategy for Collect 2.0 by SocialCops
Rajath D M
 
Todoed Growth Plan - 2016
Todoed Growth Plan - 2016Todoed Growth Plan - 2016
Todoed Growth Plan - 2016
Rajath D M
 
Highir.com Pitch: Facebook Demo
Highir.com Pitch: Facebook DemoHighir.com Pitch: Facebook Demo
Highir.com Pitch: Facebook Demo
Rajath D M
 
Finzip Android App Design
Finzip Android App DesignFinzip Android App Design
Finzip Android App Design
Rajath D M
 
Use of Social Media in Education for Sustainable Development
Use of Social Media in Education for Sustainable DevelopmentUse of Social Media in Education for Sustainable Development
Use of Social Media in Education for Sustainable Development
Rajath D M
 
Waylo: Year in Review
Waylo: Year in ReviewWaylo: Year in Review
Waylo: Year in Review
Rajath D M
 
Social and Environmental impact using Technology and Internet - Mobile App fo...
Social and Environmental impact using Technology and Internet - Mobile App fo...Social and Environmental impact using Technology and Internet - Mobile App fo...
Social and Environmental impact using Technology and Internet - Mobile App fo...
Rajath D M
 
Growth Plan - Todoed
Growth Plan - TodoedGrowth Plan - Todoed
Growth Plan - Todoed
Rajath D M
 
POVRLabs Pitch
POVRLabs PitchPOVRLabs Pitch
POVRLabs Pitch
Rajath D M
 
Logistics in India - Overview
Logistics in India - OverviewLogistics in India - Overview
Logistics in India - Overview
Rajath D M
 
Product Marketing Strategy for Startup
Product Marketing Strategy for StartupProduct Marketing Strategy for Startup
Product Marketing Strategy for Startup
Rajath D M
 
Todoed - What, Who, How?
Todoed - What, Who, How?Todoed - What, Who, How?
Todoed - What, Who, How?
Rajath D M
 
Cult Marketing - Instameet
Cult Marketing - InstameetCult Marketing - Instameet
Cult Marketing - Instameet
Rajath D M
 

More from Rajath D M (18)

API product strategy - Intro to Internal, External APIs and Developer Platforms
API product strategy - Intro to Internal, External APIs and Developer PlatformsAPI product strategy - Intro to Internal, External APIs and Developer Platforms
API product strategy - Intro to Internal, External APIs and Developer Platforms
 
DM - 2020 Calendar - Free Download
DM - 2020 Calendar - Free DownloadDM - 2020 Calendar - Free Download
DM - 2020 Calendar - Free Download
 
Datasense Concept - Detailed customer view
Datasense Concept - Detailed customer viewDatasense Concept - Detailed customer view
Datasense Concept - Detailed customer view
 
Quick Intro to SDG presentation (Hindi) - Jan 2019
Quick Intro to SDG presentation (Hindi) - Jan 2019Quick Intro to SDG presentation (Hindi) - Jan 2019
Quick Intro to SDG presentation (Hindi) - Jan 2019
 
Digital Marketing Proposal for 'Academy for Innovation and Management'
Digital Marketing Proposal for 'Academy for Innovation and Management'Digital Marketing Proposal for 'Academy for Innovation and Management'
Digital Marketing Proposal for 'Academy for Innovation and Management'
 
Growth Strategy for Collect 2.0 by SocialCops
Growth Strategy for Collect 2.0 by SocialCopsGrowth Strategy for Collect 2.0 by SocialCops
Growth Strategy for Collect 2.0 by SocialCops
 
Todoed Growth Plan - 2016
Todoed Growth Plan - 2016Todoed Growth Plan - 2016
Todoed Growth Plan - 2016
 
Highir.com Pitch: Facebook Demo
Highir.com Pitch: Facebook DemoHighir.com Pitch: Facebook Demo
Highir.com Pitch: Facebook Demo
 
Finzip Android App Design
Finzip Android App DesignFinzip Android App Design
Finzip Android App Design
 
Use of Social Media in Education for Sustainable Development
Use of Social Media in Education for Sustainable DevelopmentUse of Social Media in Education for Sustainable Development
Use of Social Media in Education for Sustainable Development
 
Waylo: Year in Review
Waylo: Year in ReviewWaylo: Year in Review
Waylo: Year in Review
 
Social and Environmental impact using Technology and Internet - Mobile App fo...
Social and Environmental impact using Technology and Internet - Mobile App fo...Social and Environmental impact using Technology and Internet - Mobile App fo...
Social and Environmental impact using Technology and Internet - Mobile App fo...
 
Growth Plan - Todoed
Growth Plan - TodoedGrowth Plan - Todoed
Growth Plan - Todoed
 
POVRLabs Pitch
POVRLabs PitchPOVRLabs Pitch
POVRLabs Pitch
 
Logistics in India - Overview
Logistics in India - OverviewLogistics in India - Overview
Logistics in India - Overview
 
Product Marketing Strategy for Startup
Product Marketing Strategy for StartupProduct Marketing Strategy for Startup
Product Marketing Strategy for Startup
 
Todoed - What, Who, How?
Todoed - What, Who, How?Todoed - What, Who, How?
Todoed - What, Who, How?
 
Cult Marketing - Instameet
Cult Marketing - InstameetCult Marketing - Instameet
Cult Marketing - Instameet
 

Recently uploaded

Essentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FMEEssentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FME
Safe Software
 
GenAI Pilot Implementation in the organizations
GenAI Pilot Implementation in the organizationsGenAI Pilot Implementation in the organizations
GenAI Pilot Implementation in the organizations
kumardaparthi1024
 
Monitoring and Managing Anomaly Detection on OpenShift.pdf
Monitoring and Managing Anomaly Detection on OpenShift.pdfMonitoring and Managing Anomaly Detection on OpenShift.pdf
Monitoring and Managing Anomaly Detection on OpenShift.pdf
Tosin Akinosho
 
Full-RAG: A modern architecture for hyper-personalization
Full-RAG: A modern architecture for hyper-personalizationFull-RAG: A modern architecture for hyper-personalization
Full-RAG: A modern architecture for hyper-personalization
Zilliz
 
June Patch Tuesday
June Patch TuesdayJune Patch Tuesday
June Patch Tuesday
Ivanti
 
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with SlackLet's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
shyamraj55
 
CAKE: Sharing Slices of Confidential Data on Blockchain
CAKE: Sharing Slices of Confidential Data on BlockchainCAKE: Sharing Slices of Confidential Data on Blockchain
CAKE: Sharing Slices of Confidential Data on Blockchain
Claudio Di Ciccio
 
Your One-Stop Shop for Python Success: Top 10 US Python Development Providers
Your One-Stop Shop for Python Success: Top 10 US Python Development ProvidersYour One-Stop Shop for Python Success: Top 10 US Python Development Providers
Your One-Stop Shop for Python Success: Top 10 US Python Development Providers
akankshawande
 
AI 101: An Introduction to the Basics and Impact of Artificial Intelligence
AI 101: An Introduction to the Basics and Impact of Artificial IntelligenceAI 101: An Introduction to the Basics and Impact of Artificial Intelligence
AI 101: An Introduction to the Basics and Impact of Artificial Intelligence
IndexBug
 
Best 20 SEO Techniques To Improve Website Visibility In SERP
Best 20 SEO Techniques To Improve Website Visibility In SERPBest 20 SEO Techniques To Improve Website Visibility In SERP
Best 20 SEO Techniques To Improve Website Visibility In SERP
Pixlogix Infotech
 
UI5 Controls simplified - UI5con2024 presentation
UI5 Controls simplified - UI5con2024 presentationUI5 Controls simplified - UI5con2024 presentation
UI5 Controls simplified - UI5con2024 presentation
Wouter Lemaire
 
Video Streaming: Then, Now, and in the Future
Video Streaming: Then, Now, and in the FutureVideo Streaming: Then, Now, and in the Future
Video Streaming: Then, Now, and in the Future
Alpen-Adria-Universität
 
Artificial Intelligence for XMLDevelopment
Artificial Intelligence for XMLDevelopmentArtificial Intelligence for XMLDevelopment
Artificial Intelligence for XMLDevelopment
Octavian Nadolu
 
Generating privacy-protected synthetic data using Secludy and Milvus
Generating privacy-protected synthetic data using Secludy and MilvusGenerating privacy-protected synthetic data using Secludy and Milvus
Generating privacy-protected synthetic data using Secludy and Milvus
Zilliz
 
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
名前 です男
 
Choosing The Best AWS Service For Your Website + API.pptx
Choosing The Best AWS Service For Your Website + API.pptxChoosing The Best AWS Service For Your Website + API.pptx
Choosing The Best AWS Service For Your Website + API.pptx
Brandon Minnick, MBA
 
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfUnlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Malak Abu Hammad
 
Climate Impact of Software Testing at Nordic Testing Days
Climate Impact of Software Testing at Nordic Testing DaysClimate Impact of Software Testing at Nordic Testing Days
Climate Impact of Software Testing at Nordic Testing Days
Kari Kakkonen
 
UiPath Test Automation using UiPath Test Suite series, part 6
UiPath Test Automation using UiPath Test Suite series, part 6UiPath Test Automation using UiPath Test Suite series, part 6
UiPath Test Automation using UiPath Test Suite series, part 6
DianaGray10
 
Mind map of terminologies used in context of Generative AI
Mind map of terminologies used in context of Generative AIMind map of terminologies used in context of Generative AI
Mind map of terminologies used in context of Generative AI
Kumud Singh
 

Recently uploaded (20)

Essentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FMEEssentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FME
 
GenAI Pilot Implementation in the organizations
GenAI Pilot Implementation in the organizationsGenAI Pilot Implementation in the organizations
GenAI Pilot Implementation in the organizations
 
Monitoring and Managing Anomaly Detection on OpenShift.pdf
Monitoring and Managing Anomaly Detection on OpenShift.pdfMonitoring and Managing Anomaly Detection on OpenShift.pdf
Monitoring and Managing Anomaly Detection on OpenShift.pdf
 
Full-RAG: A modern architecture for hyper-personalization
Full-RAG: A modern architecture for hyper-personalizationFull-RAG: A modern architecture for hyper-personalization
Full-RAG: A modern architecture for hyper-personalization
 
June Patch Tuesday
June Patch TuesdayJune Patch Tuesday
June Patch Tuesday
 
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with SlackLet's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
 
CAKE: Sharing Slices of Confidential Data on Blockchain
CAKE: Sharing Slices of Confidential Data on BlockchainCAKE: Sharing Slices of Confidential Data on Blockchain
CAKE: Sharing Slices of Confidential Data on Blockchain
 
Your One-Stop Shop for Python Success: Top 10 US Python Development Providers
Your One-Stop Shop for Python Success: Top 10 US Python Development ProvidersYour One-Stop Shop for Python Success: Top 10 US Python Development Providers
Your One-Stop Shop for Python Success: Top 10 US Python Development Providers
 
AI 101: An Introduction to the Basics and Impact of Artificial Intelligence
AI 101: An Introduction to the Basics and Impact of Artificial IntelligenceAI 101: An Introduction to the Basics and Impact of Artificial Intelligence
AI 101: An Introduction to the Basics and Impact of Artificial Intelligence
 
Best 20 SEO Techniques To Improve Website Visibility In SERP
Best 20 SEO Techniques To Improve Website Visibility In SERPBest 20 SEO Techniques To Improve Website Visibility In SERP
Best 20 SEO Techniques To Improve Website Visibility In SERP
 
UI5 Controls simplified - UI5con2024 presentation
UI5 Controls simplified - UI5con2024 presentationUI5 Controls simplified - UI5con2024 presentation
UI5 Controls simplified - UI5con2024 presentation
 
Video Streaming: Then, Now, and in the Future
Video Streaming: Then, Now, and in the FutureVideo Streaming: Then, Now, and in the Future
Video Streaming: Then, Now, and in the Future
 
Artificial Intelligence for XMLDevelopment
Artificial Intelligence for XMLDevelopmentArtificial Intelligence for XMLDevelopment
Artificial Intelligence for XMLDevelopment
 
Generating privacy-protected synthetic data using Secludy and Milvus
Generating privacy-protected synthetic data using Secludy and MilvusGenerating privacy-protected synthetic data using Secludy and Milvus
Generating privacy-protected synthetic data using Secludy and Milvus
 
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
 
Choosing The Best AWS Service For Your Website + API.pptx
Choosing The Best AWS Service For Your Website + API.pptxChoosing The Best AWS Service For Your Website + API.pptx
Choosing The Best AWS Service For Your Website + API.pptx
 
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfUnlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
 
Climate Impact of Software Testing at Nordic Testing Days
Climate Impact of Software Testing at Nordic Testing DaysClimate Impact of Software Testing at Nordic Testing Days
Climate Impact of Software Testing at Nordic Testing Days
 
UiPath Test Automation using UiPath Test Suite series, part 6
UiPath Test Automation using UiPath Test Suite series, part 6UiPath Test Automation using UiPath Test Suite series, part 6
UiPath Test Automation using UiPath Test Suite series, part 6
 
Mind map of terminologies used in context of Generative AI
Mind map of terminologies used in context of Generative AIMind map of terminologies used in context of Generative AI
Mind map of terminologies used in context of Generative AI
 

Understanding Human Conversations with AI

  • 2.
  • 3.
  • 4.
  • 5.
  • 7.
  • 8. We still talk a lot...
  • 9. We still talk a lot... And there’s a lot of untapped knowledge...
  • 11. Here comes AI 🤖 Good for Object/Pattern/Speech Recognition
  • 14. Human to Human Human to Machine
  • 15. H2H H2M Conversational in Nature Highly Unstructured Flow of conversation not predefined Context and purpose is dynamic Transactional in Nature Pretty Structured Pre-defined flow of conversation Context and purpose is static
  • 16. Existing Conversational AI Systems Built on the state of the art deep learning systems like GPT3, BERT Mostly Intent-based systems that act on a defined scope Needs training data
  • 17. “We must refocus, working towards developing a framework for building systems that can routinely acquire, represent, and manipulate abstract knowledge, using that knowledge in the service of building, updating, and reasoning over complex, internal models of the external world.” Gary Marcus,MIT, Reboot.ai
  • 18. How can we solve the problem?
  • 19. Will require… ● General Context-Awareness ● Model all Aspects of Unstructured Conversation ● Dynamic Conversation Adaptation ● Unbiased Information Modelling ● Conversation specific outcomes ● Self-calibration Analyzing Open Domain Conversations
  • 20. How do business start implementing conversational intelligence? Start with Speech Recognition Data-science strategy... ● Rule-based ● Domain-specific ● Intent based ● Open Domain Choose between... ● Real Time and Asynchronous ● Languages and Dialects, ● Channels, Audio Quality Build intelligence Train & maintain the model Continuous Improvement... ● Gather training data ● Reduce biases ● Feedback loop ● Data Engineering 1 2 3
  • 21. Other aspects to consider ➔ Training Data: Ensure high quality, Unbiased data ➔ Building the Model: Analyze and conduct data science experiments to get to production ➔ Too Many Models: (Analyze, Build, Deploy, Scale, Maintain) x number of models ➔ User Experience: UX Research, Time to design and develop UI, Maintain the UI ➔ Build backend around the AI systems: Build and Maintain for real time streaming / batch ➔ Integrating with Communication Channels: Build and Maintain Complex integrations with Telephony and other third party dialers / channels ➔ Scaling for other types of conversation - start with one type and scale to more
  • 22. Symbl: How it works? Voice & Video API Real-time or Async Text API Async ● Telephony ● Websocket ● REST Calibration API Conversation API User Experience API ● Transcription ● Speaker Metrics ● Timeline ● Contextual Topics ● Action Items ● Entities ● Sentiment ● Topic Hierarchy ● Questions ● Calendar Invites 1 2 3 4 INGEST YOUR DATA INTEGRATE TO YOUR CHANNEL GENERATE INSIGHTS BUILD YOUR DIFFERENTIATED EXPERIENCE
  • 23. Deep Understanding Best of both worlds: Deep Learning (Semi/Supervised) and Classical AI (Unsupervised) Mathematical & Statistical systems can help with inference Deep Learning systems can help with pattern recognition
  • 25. Using Pre-built UI Coming soon - Symbl JS Elements!!
  • 26. Getting Started Join our Developer community on Slack Get your TADHack credits early by email - tadhack@symbl.ai Create an account on https://symbl.ai Retrieve your API Credentials Headover to API documentation
  • 27. Sales/CRM Intelligence Using Recordings or Real Time Calls Real Time Updates to CRM ➔ Topics ➔ Follow-Ups ➔ Question ➔ + Email Context ➔ + All Context Aggregated Intelligence for Managers
  • 28. E-Learning Integration Using Lecture or Session Recordings Index or Clip Video Recordings ➔ Topics ➔ Follow-Ups ➔ Question ➔ Sentiments ➔ Action Items Search and Navigate Videos by Context
  • 29. Contact Center Using Lecture or Session Recordings Index or Clip Video Recordings ➔ Topics ➔ Follow-Ups ➔ Question ➔ Sentiments ➔ Action Items Search and Navigate Videos by Context
  • 30. Symbl - Conversational Intelligence APIs 💸 Eliminate cost and complexity ⏱ Reduce time to market 🛡 Built on Secure Infrastructure 💻 Developer-first platforms 📖 No Upfront Training https://github.com/symblai https://docs.symbl.ai/
  • 32.