VOICE-BASED CONVERSATIONS Global smart speaker shipment (million) % of Internet users using voice enabled functionality (any device) 22.0 24.2 11.2 23.4 1 8.9 0.1 7.1 3.6 0.5 10.8

1

VOICE-BASED

CONVERSATIONSHype or Reality

September 2019

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Foreword

Foreword

Acknowledgement

Kshitiz AroraSr. Manager –Research, NASSCOM

Debjani GhoshPresident, NASSCOM

Last year NASSCOM published its very first report on Conversational AI, focused primarily on Chatbots (text-based bots).Although text had found wide-scale adoption at that time, voice was still at a nascent stage. However, a lot has changedsince then, especially after the growing proliferation of smart speakers. 2019 has rightly been termed as the year of voiceand I strongly believe that voice has potential to bring next 300 million Indians on digital platform.

With lines blurring between Voicebots and Virtual Assistants, this report aims at presenting the landscape of Voice-basedsolutions in India. While the report highlights some of the existing and potential use cases, application areas, challenges,etc., it also presents some actionable recommendations for companies engaged in providing solutions in this domain. Hopeyou enjoy reading this report, we welcome your feedback and comments.

This report has been developed by NASSCOM Research through a comprehensive study to understand the landscape ofVoice-based solutions in India.

The preparation of this report has been possible with support from various information sources including interviews withindustry representatives, who have extended great help to the research team. We wish to sincerely thank all of them fortheir valuable contributions without which this report would not have been possible.

https://www.nasscom.in/knowledge-center/publications/lets-chat-ai-based-conversations

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Table of Contents

Executive Summary 1

2

3

4

5

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Outlook and Recommendations

Market Landscape Acknowledgements

Introduction Key Voice-based Solution Providers

4

Voice could play a pivotal role in enabling

e-governance and bringing next 300 million

Indians to digital platform

Shift from text-based conversational solutions

towards voice-based solutions as they are

more engaging

Gaining popularity due to growing voice searches

especially over smartphones, the largest usage channel (81%) for

voice-based solutions

Larger adoption across direct-to-consumer

applications; Enterprise use cases are also

emerging fast

2018 registered 11 notable investments in Indian

conversational AI start-ups, allowing them to strengthen their tech capabilities, add

more languages, and expand global footprints

Voice-based solutions are at a very nascent stage and

require collaborations among stakeholders to

come up with practical and scalable use cases

Executive Summary

5

Executive Summary 1

2

3

4

5

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Table of Contents

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Conversational AI includes set of AI technologies that enable computers

to mimic humans conversations either through text or voice

• Conversational AI predominantly includes Chatbots and Voicebots

• While Chatbots are primarily associated with text conversations, Voicebots are an extension of Chatbots that use voice as an interface on top of same underlying set of technologies

• It automates user/customer facing touch points on different platforms such as social media, websites, apps, voice assistants, etc.

Text, additionally, speech-to-text on devices such as computers

Voice, on devices such as smartphones, computers, smart speakers, wearables, etc.

On-screen answers, images and videosDependency on screen to view output

Output independent of screen. However, limitation to cast images and videos in case of smart speakers

Considered more personal. Suitable for use in public places

Suitable for hands-free operations at home, car, etc.Uncomfortable to talk to in public/crowded areas

Quite high as access is through mobile devices and computers which have lower barrier of

entry

Moderate, expected to pick up as smart speakers become more mainstream

Chatbots Voicebots

INPUT

OUTPUT

PRIVACY

ADOPTION

Sources: Interviews with subject matter experts; NASSCOM analysis

7

ENTERPRISES

Faster response rate

CONSUMERS

Engaging and conversational

Preferred and natural mode of communication

24/7 availability

Conversational AI is emerging as preferred mode of communication for

consumers, it also allows enterprises to offer augmented customer experience

Predict customer behavior and offer customized services

Opportunity to up-sell and cross-sell products and services to customers

Perform analytics to make business decisions

Provide better customer service and experience at a reduced cost

Increased employee productivity

Sources: NASSCOM analysis

8

Rule-based/Scripted

Interaction with the customer happens through a predefined set of questions

AI-powered

Utilizes AI technologies such as NLP, ML, to understand user intent, learn from past conversations, respectively

Voice-enabled

Combines AI technologies with voice recognition, text-to-speech and speech-to-text APIs to accept voice inputs

Rule-based Chatbots marked the first wave of Conversational AI that were used in a close environment, primarily in an exploratory phase

Second wave witnessed use of AI technologies and emergence of specific use cases across different business verticals and horizontals

Third wave witnessed emergence of voice. Similar to Chatbots, Voicebots are still in an experimental phase and would evolve to address specific business use cases

Chatbots have hit mainstream, but there is already a shift from text-

based bots to voice-based solutions

Sources: NASSCOM analysis

Illustrative

9

Machine Learning

Allows machines to learn without being programmed and adapt itself to new data with the help of algorithms such as Deep learning and Neural network

Natural Language Processing

Allows computer program to understand human language as it is spoken or written

Terminology Extraction

Identify specific relevant terms

Sentiment Analysis

Identify positive and negative statement

Natural Language Generation

Turn data into human understandable language

Natural Language Understanding

Identify intent of the statement

Machine Translation

Automated translation of text from one language to another

NLP Detailed

Underlying AI Technologies

Low Level of Sophistication High

There is an increased focus by companies on Natural Language Generation and

Understanding - the underlying technologies that power these conversations

Sources: Gartner, News articles, NASSCOM analysis

10

Voice conversation architecture highlights the complex ecosystem

play

Virtual

Assistants

Cloud DatastoreDevices Bot Framework

Machine Learning

Cloud Function

Cloud Storage

Sources: Interviews with subject matter experts; NASSCOM Analysis

Google Cloud PlatformAmazon LambdaAzure Functions

Google Cloud DatastoreAmazon DynamoDB

Azure Cosmos DB

Google Cloud StorageAmazon S3

Azure Blob Storage

DialogflowAmazon Lex

Microsoft Bot frameworkWatson Assistant

Illustrative

11

Executive Summary 1

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3

4

5

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Table of Contents

12

51%

49%48%

45% 45%

India China Indonesia UAE Thailand

% of Internet users using voice enabled functionality (any device)Global smart speaker shipment (million)

22.0 24.2

11.2

23.4

1

8.9

0.1

7.13.6

0.5

10.8

2017 2018

Amazon Google Alibaba Xiaomi Baidu Others

• According to IDC, sale of smart speaker is expected to grow 32% (CAGR) through 2017-2022 to reach USD17.4 billion• Almost one-third of 3.5 billion searches conducted on Google today consist of voice searches. Going forward, voice searches are expected to

account for half of all searches

34.8

78.0

Increasing penetration of smart speakers and growing voice searches

are the key drivers for the emergence of voice technology

Sources: Canalys, News articles

13

Impact of virtual assistants – by sectorImpact of virtual assistants – by business function

Overall Perceived

Impact

Research indicates that virtual assistants are expected to create highest

impact on Indian businesses after Machine Learning

• Finance and Accounting is expected to experience highest business impact of virtual assistants. Whereas, IT/ITES sector leads other sectors in terms of impact of virtual private assistants on businesses

Sources: PwC

50% 50% 50%

41%

22%

Accounting Operations Admin. IT Finance

46%

35%33%

30% 29%

IT/ITES Technology BFSI Manufacturing Education

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Platform Providers

Platforms and applications that allow development and distribution of voice-based solutions. These platforms could either be proprietary or open source

Developers / Integrators

Develop, build, deploy and manage voice-based solutions. Deployment could be on Cloud or On-premise

End Users

End users could either be enterprise of direct-to-consumers

Enterprise UsersSolutions that reach the customer directly for specific use cases such as seeking information, managing smart devices, etc.Employee Focused

Solutions that address employee focused enterprise use cases such as personal office assistants, revenue reconciliation, etc.

Solutions that address customer focused enterprise use cases such as billing, payment, etc.

Sources: Interviews with subject matter experts; NASSCOM analysis

While consumer is at the center of voice-based solutions, enterprise

use cases are also fast emerging

Direct-to-Consumers

Customer Focused

Illustrative

15

36% 35%

25%19%

Google Assistant Apple Siri Amazon Alexa Microsoft Crotana

Platform providers are focused on strengthening voice capabilities,

increasing user base through new products and partnerships Digital assistants used by people

Partnered with Qualcomm, Epson, Whirlpool, Kohler to launch voice-enabled headphones, printers, washing machines, bathroom lines, respectively

Acquired Superpod to boost Google Assistant’s capabilities to answer users’ questions

Acquired Laserlike to improve Siri’s search capabilities

Acquired voice app development software provider PullString to ease development for iOS developers

Acquired Graphiq, a semantic search and data visualization company to enhance Alexa capabilities

Filed a patent related to detecting physical and emotional wellbeing of users based on interactions captured in voice data

Acquired speech technology startup Semantic Machines that focuses on conversational AI

Announced its first wearable device from the Surface product line, a wireless, bluetooth, noise canceling headphone, featuring Cortana

Sources: Microsoft; News Articles; NASSCOM Analysis

Illustrative

16

Notable Conversational AI Transactions

SAP acquired Recast.AI, a Paris-based start-up that focuses on conversational

user experience technology, to accelerate development of its Leonardo ML

capabilities

Reliance Joi acquired (87% stake) Haptik to boost its digital

ecosystem and provide Indian users conversational AI-enabled devices

with multi-lingual capabilities

Salesforce acquired Bonobo, a conversational AI platform that

allows companies to analyse their calls, texts, emails, live chat, etc., and

produce actionable insights

Reliance Industries acquired Reverie, a developer of end-to-end voice

technology stack, to integrate its Indic language localization services with

Reliance’s digital consumer platforms

Airtel acquired AI firm AuthMeincluding IP for its flagship solution Callup AI, a chat and voice assistant that resolves customer queries over

e-mail, chat and phone calls

Flipkart acquired speech recognition firm Liv.ai in a bid to accelerate an provide end-to-end conversational

shopping experience, including voice, for its users

Cisco acquired MindMeld to power new conversational interfaces including voice

and chat for its collaboration suite. In May 2019 Cisco transferred MindMeld assets

into an open source license

Enterprises across the globe are focused on acquiring voice-based

conversational capabilities

Sources: News Articles; NASSCOM Analysis

Illustrative

17

Apart from consumer solutions, enterprises’ focus has also been on

offering enterprise virtual assistant solutions

Enterprise-ready voice assistant for

meetings

Voice-controlled smart whiteboards

Scheduling software to book conference

rooms

Integrated Amazon Alexa with its open-

source cyber security solution

Voice assistant that creates briefings,

make updates, and open dashboards

Virtual assistant for healthcare providers

Voice assistant for meeting

Sources: News articles; NASSCOM Analysis

Illustrative

18

Conversational AI is key focus area of about one-fourth AI start-ups in

India

12%

5%

5%

7%

7%

7%

12%

17%

28%

Others

IT/Security Management

BPM Automation/Decision Automation

AI Platforms

Image Processing/Computer Vision

Vertical Application (except healthcare)

Healthcare/Medical

Intelligent Analytics/BI

Conversational AI/Chatbots/ChatbotPlatforms/NLP Engines

Application of AI in solutions

Sources: IT Next

Illustrative

19

7

28

13

11

2017 2018

Global India

Conversational AI Transactions

(# of deals)

Key deals in Conversational AI segment India

Deal DescriptionAI-based voice platform for regional languages raised USD1.8 million in series A funding from Accel India and Ideaspring Capital. The investment will be used to strengthen the product by adding more Indian languages.

Enterprise conversational AI solution startup raised Series A funding of USD4 million from Lightspeed Venture Partners and others to strengthen its deep tech capabilities and expand its teams and geographic presence.

Developer of AI assistants for raised USD2 million from Pi Ventures to accelerate product development, increase customer acquisition and investigate new vertical markets.

Local language voice-based health content provider raised USD5 million in Series A funding from Nexus Venture Partners, and others to strengthen voice, video and VR interfaces.

AI-enabled voice platform for call centers raised USD8 million in Series A funding led by Nexus Venture Partners.

Company

Sources: News articles

With increased funding, start-ups are focusing on strengthening their

tech capabilities, adding more languages, and expanding geographically

Illustrative

20

28%

28%

31%

34%

35%

36%

67%

82%

Make Payment/SendMoney

Book Cab

Control Smart Devices

Order Meal

Buy Products

Access Customer Service

Play Music/Stream Videos

Seek Information

Key Application AreasUsage channel for voice enabled devices

Smartphone

81%Smart speakers

32%

Screen-based device (excluding phones)

Innovative voice-enabled use cases / product integrations

Capture patient data

University information

systemMedia

streamingSmart helmets

Food storage system

Cable TV Apparel Gaming

7%

Sources: Capgemini; News articles

Voice has found larger adoption across direct-to-consumer

applications….

21

Entertainment

…leading to increasing collaborations of voice platform providers with

consumer and automotive companies and OEMs

Range of voice activated speakers based on Google assistant, Alexa and Crotana

Search content, launch streaming apps, control playback, etc., through voice commands

Issue commands via a headset microphone or a connected smart speaker, enable multitasking features

Home Automation

Bath products based on Alexa, Google Assistant, and Apple HomeKit platforms

Range of voice-enabled thermostats, security cameras and sensors

Secure Home Platform enabled router with Alexa skills to manage connected home’s network security using voice

Automotive

Control smart home devices, provide visual feedback on screen, update calendar

Audio and on-screen responses, play music, control home automation, etc.

Integrated Siri with Car-Net mobile app to lock/unlock vehicle, check estimated mileage, enable Honk & Flash commands, etc.

Smart speakers Bathroom Car Manufacturer

Media streaming devices Sensors

OEMsHome SecurityGaming


Illustrative

22

• Lack contextual and emotional awareness, sound robotic

• Smart speakers yet to hit mainstream in India

• Lack of screen, resulting in lack of visual cues

• Technological challenges such as latency in responses, ambient noise

• Social mental block of speaking to a machine, especially in crowded places

• Privacy and security concerns while sharing personal data

• Lack of clarity about right business cases and related tangible benefits

• Inability to answer random questions leading to dissatisfied consumers

• Understand limited set of utterances and intents

• Concerns about sharing confidential information with third-parties

• Uncomfortable speaking to a voice-enabled device in work environment

• Voice-based solutions need to work hand in hand with human agents

• Limitations of underlying platforms and algorithms that are unable to handle complex conversations

• Limited computing capabilities of existing systems

• Platforms’ inability to process wide range of dialects, accents, etc.

• Lack of data to train voice-based solutions

• Distribution and discovery due to limited number of users and use cases

While voice-based solutions are gaining traction, they still need to overcome

challenges faced by consumers, enterprises and service providers

CONSUMER

ENTERPRISE

SERVICE PROVIDER

Sources: NASSCOM Analysis

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Executive Summary 1

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Table of Contents

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Voice could play key role in driving digital literacy in India by bringing

next 300 million Indians on digital platforms

Voice could facilitate access to government services for regional language speakers and the illiterate. National e-Governance Division (NeGD) has planned to offer these services through voice assistants to smartphone users. Further to double the reach, it plans to offer these services through feature phone

Voice would be the next big thing to bring about 300 million Indians from semi-urban and rural areas on the digital platform

Voice would drive innovative use cases for under privileged and illiterate such as filling forms, help children with studies, empower visually impaired, etc.

Voice could play key role in customer service automation across different sectors. Innovations such as vocal biometrics for customer authentication and emotional analysis

would strengthen customer’s trust and enhance customer experience

With about 90% non-English speaking population, advancements in speech recognition, NLP and vernacular technologies would boost voice adoption


Voice has potential to open-up conversational commerce in India. While, lack of visual cues would still be a

bottleneck, buying some of the routine/standard products would be a good start

Voice will play a key role in smart home and office automation. Companies are offering smart automation solutions. However, they are

a bit expensive and will find larger adoption as the cost comes down

25

First line of interaction Voice could be the first line of interaction

for customers; Would be able to handle first-level support requests

Perform complex tasks With an increase in computing power, voice-based solutions would move well beyond simple tasks and perform complex tasks

Conversational analyticsEnable enterprises to connect conversations to business systems to automate and address customer queries, analytics and take further action

Provide one view Coupled with other digital solutions such as IoT,

analytics, image recognition, etc., voice-based solutions would be able to compile information

and deliver actionable insights

Smart living Home automation due to of increasing smartphones penetration and proliferation of smart speakers

Voice-based solutions could act as the first touch-point for both

consumers as well as enterprises


26

Personal assistants taking dictation, transcribing

meetings and emailing notes to participants, book meeting

room, etc.

Automate customer calls and enable outgoing calls to customers

Office

Automation

Hospitality

RetailSales and

Marketing

Healthcare

Concierge services at hotels to enable check-in or for other

information and services

In-store shopping support for customers to locate products, provide information

such as price, product availability, etc.

Provide real-time product information and dashboard support to on-field sales and marketing teams

Support surgeons in operating rooms by taking notes, maintain and fetch

patient’s clinical data

Customer

Support

Mobile Apps

Integration of voice into mobile apps to provide ‘Voice + Visuals’, reduce clicks and page visits and eventually better experience


As voice-based solutions evolve they will find innovative, scalable and

practical business use cases across sectors and business functions

27

Need for new AI algorithms

The algorithms used at present to create voice-based platforms have limited capabilities. There is need for industry and academia collaborations to create new algorithms that could be implemented in a practical

manner across real business use cases

Seamless transition across different conversational channels

Companies should focus on developing solutions that would provide seamless transition from one conversational channel to the other

Voicebots on IP telephony

IP Telephony is the first point of contact and the biggest channel for customer support. Service providers should

focus on integrating voice-based solutions into IP Telephony

Multi-tasking voice-based solutions

Voice-based platform providers and developers should focus on providing solutions that could allow users to combine more than one solution and perform multiple tasks simultaneously

Proactive and predictive voice-based solutions

Service providers should focus on providing solutions that provide recommendation, and offer personalized content

based on previous interactions

Voice-based solutions with voice adoption

Voice-based solutions should be able to adapt to the voice sample provided by the user


However, there is need for research collaborations among the stakeholders

to take voice-based solutions to next level

28Sources: Interviews with subject matter experts; NASSCOM Analysis

Voice provides significant opportunities for players in the ecosystem to

provide both isolated, as well as integrated solutions and services

Conversational Platforms

Create platforms that could be used by developers to build, deploy and run conversational user interfaces.

These could be Enterprise and Consumers applications

Full Stack Services

Build, host, manage and deploy conversational applications

across different channels and interfaces, including voice

Product Realization

Offer bot building services by using any of the conversational platforms or 3rd party tools to

create conversational solutions

Bot Framework

Build services, tools, and SDKs that would allow developers to build and connect conversational solutions

NLP / Voice APIDevelop pre-trained models that could help developers extract and analyze natural language to determine sentiment, intent, entities, etc. Key among them include voice-to-text, text-to-voice, language translation

System Integrators

Use own / other conversational platforms and tools to build conversational solutions for specific client requirements

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Table of Contents

About• Mihup is engaged in building voice technology platforms

for various devices and applications such as phones, PCs, tablets, and IoT devices

• Mihup’s speech API and SDK enables developers to convert audio and spoken sentences to text. It’s NLP API enables query parsing and answer retrieval

• The company is backed by Accel Partners, Xelp and Ideaspring Capital

Products and Solutions• It offers intelligent voice interfaces in Indian languages for

enterprises in Media and entertainment, Automotive (Connected cars), Customer contact center and Smart home businesses

Key Technologies Leveraged• Automatic speech recognition (offline and online)

• NLP

Notable voice-based Conversational AI companies in India (1/7)

Mihup Uniphore

About• Uniphore is a provider of Conversational AI, offering an

integrated suite of software products for conversational analytics, conversational assistant and conversational security

• It serves customers from different sectors including BFSI, Outsourcing, healthcare, etc.

Products and Solutions• akeira: Conversational assistant to drive customer

engagement

• auMina: Conversational analytics for intelligent insights

• amVoice: Conversational security to prevent fraud & identity theft using voice biometrics

Key Technologies Leveraged• NLP

• Speech recognition

• Machine learning

Sources: Company website

About• Floatbot is an omni-channel customer engagement chatbot

and voicebot development platform

• It offers multi-language voice-based solutions integrated with Amazon Alexa, Google Home, Google Assistant and IVR systems

• In addition to developing solutions, Floatbot also allows users to create solutions using it’s DIY platform

Products and Solutions• Floatbot allows integration with popular enterprise

applications such as Zendesk, Google Calendar, Salesforce and Freshdesk


• Deep neural network

Floatbot Avaamo

About• Avaamo is a provider of conversational AI platform for

enterprises to design and deploy omni-channel intelligent assistants

• It caters to Financial services, Retail, Healthcare, Insurance and Telecom sectors

• It offers over 150 pre-built integrations with business applications like Salesforce, Oracle, SAP, Workday, ServiceNow, etc.

Products and Solutions• It offers solutions for contact centers, supply chain

management and service desk automation



• Deep neural network



About• Voxta is a full speech stack technology company with its

proprietary speech recognition engines in a variety of Indian languages and Indian English

• It caters to companies from BFSI, eCommerce, Content and Media, Travel and Telecom sectors

Products and Solutions• It offers a configurable voice bot platform for multilingual

voice bots on mobile phones or IVR virtual agents for call centers, and call center analytics

• It supports information FAQ’s, transactions or customer service, and speech analytics

Key Technologies Leveraged• Speech recognition

• Text to speech

Voxta Haptik

About• Haptik is one of India’s leading conversational AI

companies that has reached over 100 million devices, and has processed over 2 billion conversations till date

• It caters to over 150 clients from Financial Services, eCommerce and Retail, Media and Entertainment and Travel and Hospitality sectors

Products and Solutions• It offers both chatbots and voice bots for application areas

such as customer service, customer feedback, user engagement and lead generation

Key Technologies Leveraged• NLU



About• Yellow Messenger is an omni-channel conversational AI

tool, offering personalized customer service to companies across different sectors including BFSI, Automotive, Consumer Goods, Education, Energy and Utilities, Media and Entertainment, Pharma and Healthcare, Retail and eCommerce, Telecom and Travel and Hospitality

Products and Solutions• It offers multi-lingual text and voice based solutions for

application sales and marketing, HR, IT service management, admin. and operations and customer support functions



Yellow Messenger BotArtisanZ

About• BotArtisanZ is a chatbot development company engaged in

designing, developing and training chatbots and voice apps with conversational abilities, context sensitivity, and personality traits

• It caters primarily to eCommerce and Hospitality industry

Products and Solutions• The company develops skills for Amazon Alexa and Google

Home

• Its chatbot and voicebot development team offers engineering, training, design and maintenance ands support solutions for chatbot and voice apps development




About• DheeYantra is a provider of platforms for creating multi-

lingual voice and text enabled conversational assistants for enterprises

• It allows businesses to engage, communicate and serve native language speakers in their own language

Products and Solutions• Artificial Vernacular Agents

• NLP APIs

• Indic Transliteration

• Indic OCR


• Machine vision

DheeYantra Supertext.ai

About• Supertext is a conversational commerce platform that

enables enterprises to build virtual agents to automate business processes such as front desk customer engagement, back office task automation on conversational interface

• It caters to companies from eCommerce, sports media, insurance and fintech space

Products and Solutions• Chatclay: It is a conversational solution with multi-platform

modularity including voice, text, website, IOT devices & VR platforms



• Deep learning



About• Vernacular.ai is a multi-lingual AI platform that manages

customer engagement and call center automation solutions

• It caters to companies engaged in sectors such as Banking and Financial Services, Hospitality, Retail, Travel and Food and Beverages

Products and Solutions• Vernacular Intelligent Virtual Assistant (VIVA) that enables

effortless conversations on any channel through voice, text or touch



• Automatic speech recognition

Vernacular.ai Cogknit Semantics

About• Cogknit Semantics is a technology product start-up firm

engaged in applying deep learning to text, speech, images and videos to build enterprise and SaaS based products and solutions

• It caters primarily to companies engaged in Medical, Healthcare, Retail, Entertainment, Media and eCommerce

Products and Solutions• Deep speech solutions

• Computer vision

• Convergence

Key Technologies Leveraged• Data science

• Deep neural networks

• Automatic speech recognition



About• Senseforth.ai is a provider of Conversational AI solutions

that allow enterprises to automated human-like conversations over text and voice

• It caters to companies engaged in Banking, Insurance, Telecom, Retail, Healthcare, Travel and Hospitality, Real estate and Education sectors

Products and Solutions• It offers a wide range of pre-built business bots for

customer service, knowledge management, employee engagement and analytics and insights

• A.ware: An AI platform that has with deep learning capabilities, allowing enterprises to build smart bots


Senseforth Light Information Systems

About• Light Information Systems (NLP Bots) offers intelligent AI

NLP platform for ITEs companies and system integrators to build custom scalable enterprise bots

• It has developed technology for semantic understanding of structured & unstructured data along with its proprietary neural networks

Products and Solutions• Employee Assist

• Customer Assist

• Marketing Assist

• Hiring Assist

• Visitor Assist




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Table of Contents

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Gopal Mishra

Satheesh V Vivekananda Pani

Raghavendra Kumar Ravinutala

Darshan Shankavaram

Ritesh Radhakrishnan

Animesh Samuel

Aakrit Vaish

Anuroop Iyengar Kunal Mittal

Contributions

Nitin Gera

39

NASSCOM is the industry association for the IT-BPM sector in India. A not-for-profit organization funded by the industry, its objective is to build a growth led and

sustainable technology and business services sector in the country. Established in 1988, NASSCOM’s membership has grown over the years and currently

stands at over 2,500. These companies represent 95 percent of industry revenues and have enabled the association to spearhead initiatives and programs to

build the sector in the country and globally. NASSCOM members are active participants in the new global economy and are admired for their innovative business

practices, social initiatives, and thrust on emerging opportunities.

Disclaimer

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disclaims all warranties as to the accuracy, completeness or adequacy of such information. NASSCOM

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Documents

VOICE-BASED CONVERSATIONS Global smart speaker shipment (million) % of Internet users using voice enabled functionality (any device) 22.0 24.2 11.2 23.4 1 8.9 0.1 7.1 3.6 0.5 10.8