AI-Powered Products use case

Products and services: Categorization of AI products into key categories and to understand key players within each category. To understand the market traction and growth of these products and other emerging trends in the AI space

Vertex AI

Our new unified machine learning platform will help you build, deploy and scale more effective AI models.

• Accelerating data preparation
• Scaling data
• Training and experimentation
• Model deployment

AI building blocks

Easily add sight, language, conversation, and structured data into your applications.

• Deriving insights from images
• Translating between languages and meaning of text
• Creating conversational experiences
• Delivering highly personalized product recommendations

AutoML

Use Vertex AI's capabilities for vision, translation, and structured data powered by AutoML, to train high-quality custom machine learning models with minimal effort and machine learning expertise.

• Saving time for data scientists of all levels to build sophisticated models

AI Infrastructure

Train deep learning and machine learning models cost-effectively.

• Faster training

Conversational AI

Speech-to-Text

Accurately convert speech into text using an API powered by Google's AI technologies.

• Creating automatic speech recognition
• Transcribing in real time
• Empowering Google Contact Center AI

Text-to-Speech

Convert text into natural-sounding speech using an API powered by Google's AI technologies.

• Training custom voice models
• Using state-of-art accuracy with ASR

Virtual Agents

Give customers 24/7 access to immediate conversational self-service, with seamless handoffs to human agents for more complex issues.

• Interacting naturally across channels
• Heightening customer experience
• Lowering cost of operating call centers

Agent Assist

Empower human agents with continuous support during their calls by identifying intent and providing real-time, step-by-step assistance.

• Increasing efficiency with live agent assistance
• Speeding up agent onboarding and training

Natural Language

Derive insights from unstructured text using Google machine learning.

• Training your open ML models to classify, extract, and detect sentiment

Dialogflow CX

Create conversational experiences across devices and platforms.

• Creating natural interaction for complex multi-turn conversations
• Building and deploying advanced agents quickly
• Building enterprise-grade scalability

CCAI

Drive exceptional customer satisfaction and increase contact center operational efficiency.

• Creating agents that are more informed
• Enabling natural and rich interactions with virtual agents
• Empowering agents with actionable insights

AI for documents

Natural Language

Derive insights from unstructured text using Google machine learning.

• Ensuring your data is accurate and compliant
• Making faster decisions from your documents
• Creating text prediction
• Building analysis and translation

Translation

Dynamically translate between languages using Google machine learning

• Detecting and translating between languages

Vision OCR

Extract text from documents with world-class accuracy, supporting over 200 languages and 50 languages for handwriting recognition.

• Understanding printed and handwritten text within images

Document AI Platform

A unified API that can be used to enable an end-to-end document solution from evaluation to deployment.

• Creating and customizing document processing workflows
• Eliminating need to perform additional mapping or training
• Unlocking insights from documents in machine learning

Invoice parser

Extract text and values from invoices, such as dates, addresses, phone numbers, companies, prices, and numerical values.

• Automating data capture from invoices

Form parser

Extract text and spatial structures from documents, so you can process and preserve complex data, including tabular content, using OCR.

• Detecting and parsing text from files in form documents

Base OCR

Extract text from documents with world-class accuracy, supporting over 200 languages and 50 languages for handwriting recognition.

• Identifying language automatically

AI for industries

Media Translation

Translate real-time streaming or pre-recorded audio into text in another language.

• Translating streaming audio into text

Healthcare Natural Language

assisting healthcare professionals to find, assess, and link the medical knowledge in text data.

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• Reviews and analysis of medical documents

Recommendations AI

Deliver highly personalized product recommendations at scale.

• Delivering high-performing recommendations across channels
• Driving increased customer engagement
• Implementing machine learning models, without writing code

Lending DocAI

Transform the home loan experience for borrowers and lenders by automating mortgage document processing.

• Increasing operational efficiency in the loan process
• Improving home loan experience

Procurement DocAI

Automate procurement data capture at scale by turning unstructured documents like invoices and receipts into structured data.

• Lowering TCO for procure-to-pay processing
• Creating smarter procurement processes

Here is a list of the major product launches from this year so far: 

AI learning platform by DcodeAI 

Delhi-based AI-focused edtech startup DcodeAI launched a DIY (Do-It-Yourself) learning platform for 12-18 years in January this year.

The DIY course teaches AI concepts to children and hones their data manipulation, data visualisation, statistics, ML, and deep learning skills. CEO and Co-founder Kartik Sharma said the launch of this programme was in line with India’s vision to democratise AI across all sectors. 

Avaamo’s voice assistants 

Virtual and HIPAA-compliant conversational assistant provider Avaamo recently deployed voice assistants to interact with patients. The information gathered from these patients will be stored by Epic App Orchard to improve the digital front door experience for patients. 

DIZO by Realme 

Smartphone manufacturer Realme recently announced the launch of its tech lifestyle ecosystem, DIZO, focused on AIoT products. DIZO will concentrate on four product categories– smart entertainment, smart care, smart accessories and smart home, and the company plans to launch over 100 AIoT products in India this year. 

Madhav Sheth, Vice President of realme and Chief Executive Officer of realme India and Europe, said in a press statement: “This is a momentous occasion as DIZO goes live with its mission to offer innovative and diversified AIoT solutions to its consumers. The new brand will enable consumers to experience a smart, efficient, and interconnected life. Being the first brand in the realme TechLife ecosystem, I am very excited to tell you that DIZO already has great products in the pipeline to offer to its consumers.”

Yellow Messenger Cares 

Conversational AI platform Yellow Messenger recently launched its omnichannel chatbots ‘Yellow Messenger Cares’ for COVID-19 related queries.. 

Medical institutions, NGOs, businesses and support groups or businesses can get access to the AI-based chatbot built by Yellow Messenger, and use it to provide real-time services. This is a CSR initiative by Yellow Messenger. 

Qure.ai Intelligent X-ray solutions 

Qure.ai announced its partnership with Fujifilm to launch X-ray solutions augmented with the former’s computed aided radiology software application qXR.

Fujifilm’s portable X-ray FDR Xair system is equipped with a new image processing box called Expansion Unit EX-Mobile, enabling it to connect with qXR. According to Qure.ai, the AI will analyse X-ray images within seconds to detect abnormalities. 

Tredence’s ML Works 

Bengaluru-based AI and analytics services company Tredence launched ML Works earlier last month. The state-of-the-art ML platform offers automated workflows, pre-built solutions for tracking model degradation, and code workflow management. Targeted towards engineers, data scientists and analysts, the platform will help enterprises navigate ML operations challenges. 

ML Works includes data drift analysis capabilities for monitoring product model accuracy, explainable AI for non-technical users, and custom metrics. 

India’s usage of AI technology is now breaking geographic barriers to reach the grassroot population of the country, HDFC Bank and Common Services Centres (CSCs) recently to the banking needs of entrepreneurs in villages. 

Additionally, AI startup Uniphore Software Systems recently raised a $140 million investment to expand its AI-backed services to areas such as video calls. Last year, the Government of India allocated Rs 3,958 crore for the Digital India Programme. Global Research and Advisory company Gartner predicted India’s IT spending will touch $7.3 billion, up by 9.4 percent from $6.6 billion last year. In terms of human capital, reports suggest that 12 percent of global AI researchers are from India. The country has the talent pool and ammo to drive its AI For All strategy. On the other side, India is also a huge market for AI products.