1. AI Trends and Startups in India
Archana Ramakrishnan
2-Nov-2018

2. Chatbots and Conversational AI – From Hype
to reality
The race for the best AI assistant is one between Google, Amazon, Apple and Microsoft. These companies are
patenting methodologies on training computers to recognize people’s voices and in natural language understanding

3. Democratization of AI services- The big 5
leading the way
Tools and technologies are being open sourced. Data is the fuel. Strong corporate-startup collaboration will be the way
forward for small companies to succeed

4. Investment in AI research to push the boundary
Google has applied for the most AI patents with nearly 300 since 2009.
Microsoft trails closely behind with just under 270, followed by Amazon, and Facebook, each with 70+.
IBM claims it won 1400 AI related patents in 2017. China has surpassed US in deep learning patents in 2017.
(Source: CBInsights, Wired )
Ongoing Academic and corporate research focus areas
Deep Learning
Reinforcement
Learning
Conversational analytics
Explainable AI
Transfer Learning
Contextual Content

5. New business models will be defined at the
intersection of AI with other emerging tech
Contextual,
Collaborative,
Immersive
AI
BLOCKCHAIN
IoT AR/MR

6. AI Trends in India
400+ AI startups and ~150MN USD invested in last 5
years (Source: Nasscom)
• Task Force launched on Artificial Intelligence for India’s Economic
Transformation by the Commerce and Industry Department of the
Government of India in 2017
• NITI Aayog funded national research programme on AI in 2018 with
focus on Agriculture, Healthcare and Indian language
Government Initiatives
Learning & Talent
• Demand for AI talent far outpaces the supply
• Global companies such as Google, Microsoft, Intel as well the Indian
government are providing AI specific training and courses to boost
the numbers

7. 23%
15%
12% 11% 10%
29%
Cross Industry E-commerce Healthcare Education Financial Services Retail and Logistics
Machine Learning RPA NLP Speech/ Conversational
AI
Computer Vision Platforms/Tools
IndustryFocusTechnologyUsecases
BFSI
• Fraud detection,
loan monitoring
• KYC and customer
onboarding
• Claims processing
HEALTHCARE
• Radiology and
medical diagnostics
for anomaly
detection and early
warning
RETAIL
• Product discovery and
recommendation
• Customer analytics
• Inventory
management
HR/Learning
• Recruitment support
and candidate
onboarding
• Student profiling and
learning pathways
Indian AI startups at a glance
Source: https://www.livemint.com/Leisure/u7M3e5ymwmGf6QRLaXBoAJ/10-standout-startups-taking-an-AI-leap-in-India.html

8. Industry: Heathcare
Uses AI on genome data to
predict diseases such as
cancer , diabetes and other
chronic diseases
Industry : HR
Connects jobs and
jobseekers via advanced
ML
Industry : E-commerce
Uses ML to determine
customer churn and
calculate customer health
scores
Industry : Banking
AI for client onboarding
and KYC
Industry: Learning
Works on advanced
video indexing
technologies
Industry: E-commerce
ML powered product discovery
and recommendation platform
Machine Learning

9. Industry : Banking, Insurance
Based on NLP and ML, platform
automate any business process
based on unstructured text data
like invoices, contracts and
emails.
Industry: Multiple
RPA consulting and
software services
Robotic Process Automation

10. Industry : Healthcare
Chatbots that help
patients find, schedule
and consult doctors
seamlessly
Industry : Multiple
Multilingual chatbot
Industry: Healthcare
Touchkin’s AI chatbot Wysa,
uses NLP and machine
learning to support
behavioral health issues
Industry: Multiple
Delivers on-demand analysis
and relevant insights through
a Google-like Natural
Language Search interface
Natural Language Processing
Industry: HR
An AI scheduling agent
that uses NLP for
recruitment teams
Industry : Consumer
AI chatbot for flight
booking, cab booking,
mobile recharging etc.

11. Computer Vision
Industry : Medical diagnostics
These startups are addressing the
medical imaging and diagnostics
space for detecting anomalies at a
very early stage. Areas of focus
include breast cancer, CT scans,
blood smears etc.
Industry : Insurance, Others
IITH seed-funded and T-Hub
incubated startup uses Computer
vision techniques to help
insurance companies analyze
claim images and videos
Niche AI
Industry : Automotive
Startup uses deep learning and
computer vision to identify at-
risk driving and driver fatigue.
Industry: Security,
Surveillance, E-commerce
Combines face recognition, text
and speech to recognize criminal
profiles and provide real-time
alerts for incidents
Industry : Retail
Startup’s video content analytics
platform analyzes customer
behavior and demographics, count
and track and manage queues.

12. Kooki AI engine integrates
speech recognition and NLP
in regional Indian
languages - Hindi, Kannada,
Tamil, Telugu, Marathi and
many more
Conversational AI/Speech Recognition
Primarily focused on
chatbots, bringing text
and voice recognition
to automate tasks
Build Voice Activated apps
for digital assistant like
Alexa, Google Assistant,
Cortana with ease

13. Proprietary ML models, data
platform customized to
provide vertical solutions.
Provides Big data
infrastructure that supports
the development and
deployment of custom &
portable analytical applications
End to end AI platform
that enables enterprises
and developers to build
industry specific solutions
Platforms/Tools
Arya.ai has tools for
developers and enterprises
that simplifies buildout and
manages deployment of Deep
Learning based applications.

14. Thank You!