Highlights
- Artificial intelligence (AI), machine learning (ML), and more recently, generative AI (GenAI) are accelerating business transformation like never before.
- TCS leverages its extensive experience in driving digital-first transformation for enterprises across industries and AWS solutions to help them unlock the promise of AI, ML, and GenAI.
- Our AI-ML and GenAI services help eliminate human error, reduce business risk and security threats, and enable scalable solutions.
Challenge
Industries continue to be disrupted by the power of Artificial Intelligence and Machine Learning across several of their value chains.
The recent addition has been the power of generative AI to reimagine the overall business model by infusing a multiplier effect.
Powered by a value exchange analysis, the overall generative AI spectrum is broadly distributed across (1) knowledge discovery to help manage knowledge concentration, summarization, extraction and classification followed by (2) business function optimization by infusing gen AI models embedded within the business process to improve effectiveness through appropriate assistances and automation and (3) personalized augmentation by designing Specialist co-pilots for orchestrating work with contextual awareness
TCS leverages its extensive experience in driving digital-first transformation for enterprises across industries to unlock the promise of AI-ML (including Gen AI) using cloud-native AWS solutions including TCS BaNCS, TCS Aviana, TCS Optumera™, TCS ADD™ and others.
Solution
Across the overall value chain, the business solutions powered by AWS AIML services ranges from Fraud Detector to detect online frauds better; Personalize to help drive hyper personalized customer experience including next best action; Forecast to help build seamless time series forecasting models for business metrics analysis.
With the backdrop of AWS services across Amazon Bedrock, Amazon Sagemaker Jumpstart and Amazon Q focus has been to deliver Gen AI solutions, applications to customers across the business ecosystem ranging from building a knowledge concentration from heterogenous information sources, infuse models within core business processes, addressing multiple internal functions from contract management to HR functions to contact center and reimagining service desk
AI driven coding assistants enabled by Amazon CodeWhisperer service helps drive overall developer productivity across SDLC. Provide guidance to customers generative AI adoption on domain contextualization, secure customization, Security guardrails and LLMOps.
- Insight-based offerings: Process vast amounts of data with insights that help reduce frauds, enable predictive maintenance, create strategies for dynamic pricing, process straight-through claims and prevent cyberattacks. In the healthcare and life sciences industry, these offerings can be used for new drug discovery, diagnostics, and predict and control disease outbreaks. Amazon SageMaker with services such as Amazon Fraud Detector and Amazon Rekognition are used to model insight-based products and services.
- Automation-based offerings: Power KYC processing, covenant recommendation, financial spreading, quality control, inventory re-ordering and SOP verification using automation-first solutions with Amazon SageMaker, along with Amazon Textract, Amazon Comprehend, Amazon Rekognition, Amazon Transcribe and Amazon Translate.
- Conversation-based offerings: Enable the use of chatbots for customer support which has gained wide acceptance due to their availability and ease of usage. AWS AI-ML services such as Amazon Lex and Amazon Polly provide the building blocks for the chatbots and their functionality is further enhanced by Amazon Kendra that renders accurate results for customer queries. Customer support on Amazon Connect, the cloud-based call center service, provides real-time alerts using Contact Lens, real-time agent assistance through Amazon Connect Wisdom, and voice ID to authenticate customers.
- Experience-based offerings: Create virtual agents to manage kiosks, digital twins and simulations, powered by AWS IoT TwinMaker, Amazon GreenGrass and Amazon Robomaker.
- Sagemaker platform setup: Build a data science platform using Amazon SageMaker, and users with limited machine learning knowledge can use Amazon Sagemaker’s Autopilot feature to develop ML models, enabling the democratization of AI. It also enables users to leverage AWS’ AI-ML services like Amazon Rekoginition for image processing, Amazon Textract for OCR, and Comprehend for entity extraction from documents. TCS also provides pre-built models that can be used as accelerators for the adoption of AI.
Benefits
TCS’ AI-ML and Generative AI offerings on AWS provide enterprises with the following benefits:
Eliminates human error thereby reducing business risk and security threats
Provides scalable solutions that can accommodate varying user intent
Handles emerging business complexities with AI-powered engines
Assists in customer support and augments customer experience
Accelerates R&D to provide innovative cutting-edge disruptive solutions
The TCS Advantage
TCS COIN™ network supports a robust innovation paradigm.
TCS MFDM™ approach helps enterprises in AI-ML adoption maturity.
TCS-AWS co-innovation solutions are tailor-made for customer requirements.
