Industry
Manufacturing
Future-Ready Manufacturing: Partnering in your journey to a sustainable manufacturing enterprise
Highlights
- Manufacturers need integrated data solutions that provide intelligent insights, help with faster decision making, and improve efficiency. It provides them with a distinct advantage in a rapidly changing environment.
- TCS Manufacturing AI for Industrials is a contextualized generative AI solution that analyzes a company's internal data in real time and provides contextual insights.
- The solution helps in faster decision making and improves efficiency on the shop floor across the Industrials value chain besides ensuring security and ethical AI practices.
Overview
In today's fast-paced manufacturing industry, vast data from supply chains, production, customer demand, and market trends present both challenges and opportunities.
This data, often siloed in production, supply chains, operations, marketing, and post-sales service, can be overwhelming and difficult to decipher. The complexity is further compounded by multiple layers of data intricacy that hinder efficient decision-making and reduce organizational agility. It requires the intervention of advanced, integrated data solutions, which are critical for manufacturers to maintain a competitive edge. These solutions must not only unify disparate data sources but also provide real-time actionable insights to empower manufacturers to take informed decisions swiftly.
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Solution
TCS Manufacturing AI for Industrials is a best-in-class and contextualized generative AI (GenAI) solution.
It combines the power of large language models (LLMs) and our deep domain expertise to process enormous data sets across various business contexts such as supply chains and market trends. The solution is tailored to suit the needs of industrial manufacturers through three steps:
Fine tuning the model
- Building a manufacturing lexicon: This involves creating a robust manufacturing lexicon by feeding the model with massive data sets of domain specific text and code. This can include using manufacturing process manuals, referencing technical documents such as white papers, industry standards, and engineering specifications relevant to the specific manufacturing domain. Creating a lexicon will also involve having industry glossaries and textual data extracted from interviews with experienced workers, capturing undocumented best practices and troubleshooting techniques.
- Curating for manufacturing expertise: With the manufacturing lexicon in place, we can fine tune the pre-trained model. This involves retraining the model on the curated dataset and focusing on specific relationships and patterns such as specialized language use in manufacturing, identifying process relationships, and uncovering hidden insights from process manuals.
- Instruction-tuning for function-specific expertise: As the solution delves deeper into function-specific knowledge, the model is exposed to even more specialized data sets such as function-specific process manuals, service manuals, and troubleshooting guides. It is also trained for understanding function-specific workflows and solutions that can come handy for specific and contextualized instruction to maintenance technicians.
- Giving a specific enterprise’s context: This process involves incorporating enterprise-specific data to create a custom model that is enterprise-wise with company specific knowledge such as products, processes, policies, procedures, production data, and personalized recommendations.
Customizing Large Language Models
Improving model outputs with RAG
The solution enhances the custom model with Retrieval Augmented Generation (RAG), helping it to further ground model output with organization’s internal data in real-time. This advanced capability allows the model to deliver contextually relevant insights tailored to specific business needs. By leveraging real-time data from various internal sources, we ensure that the model does not hallucinate, and its analysis and recommendations are always up-to-date and accurate.
Implementing enterprise guardrails
The final step is to implement guardrails to ensure data security, privacy, and Responsible AI practices. These include data synchronization and encryption, a human-in-the-loop system for ensuring transparency and mitigating bias in the model output.
These steps build a powerful and specialized model that enhances manufacturing expertise and improves operational efficiency across the organization.
We have supercharged a general-purpose LLM with deep manufacturing expertise using NVIDIA's comprehensive AI toolkit (NeMO, RAPIDS, Metropolis, NIM Microservices). This unlocks unprecedented potential for intelligent manufacturing operations.
High-Level Solution Architecture
Manufacturers can now achieve unprecedented accuracy and access the tacit knowledge to optimize their operations, improve decision-making, and drive impactful innovation. This is possible with TCS' Manufacturing AI for Industrials solution, which leverages NVIDIA technology to harness the power of LLMs (large language models) and is fine-tuned with TCS' deep manufacturing industry expertise. TCS is committed to providing manufacturing enterprises with the transformative AI solutions they need to make them future-ready and lead the charge toward a smarter, more sustainable future.
Benefits
TCS Manufacturing AI for Industrials elevates manufacturing by overcoming barriers related to tacit knowledge and complex documentation.
The solution offers the following benefits for enterprises:
Increased Accuracy: The model can analyze vast amounts of data, minimizing human error and ensuring consistent adherence to best practices, leading to higher quality output.
Contextual enterprise knowledge: A domain-specific model, trained in manufacturing-related content, can deeply understand industry-specific terminology, processes, and challenges, unlike general purpose models.
Availability of tacit and expert knowledge: The solution democratizes domain expertise by making it available across the enterprise, regardless of the physical location or availability of human experts.
Faster decision making: In the manufacturing sector, decisions often need to be made quickly and based on precise information. TCS’ solution can quickly analyze large volumes of data and texts to provide insights that help decision-makers avoid costly mistakes, predict maintenance issues, or optimize supply chain logistics.
Cost efficiency: By automating the retrieval and generation of expert knowledge, this solution cuts down on the time and labor expenses involved in manual research and problem-solving. The custom model-based solution is particularly beneficial for troubleshooting and maintenance, where AI can provide quick guidance on common issues, therefore reducing downtime, and the need for expensive specialist interventions, leading to overall cost efficiency.
Proactive risk management: By analyzing trends and predicting potential equipment failures, the solution enables preventive maintenance that avoids expensive downtime and guarantees a seamless production process. This proactive approach to risk can help companies avoid significant financial losses and safety incidents.
TCS advantage
TCS is well positioned to be a partner of choice in the journey for manufacturers given its proven track record in the industry
TCS brings the following differentiators to an engagement:
Deep domain and contextual expertise: TCS has a pool of industry experts who are experienced in multiple manufacturing functions. From service technicians and plant operators to dealer managers and production planners, our specialists are available to assist in identifying, developing, and supporting the most up-to-date and suitable solutions and technologies for our clients.
Cross-industry experience: Businesses are more interconnected than ever before and need cross-industry expertise and leading practices. Collaborating with clients across various industries, including travel and transportation, retail and insurance provides a comprehensive, end-to-end understanding of enterprise business operations and expertise.
Enterprise AI at scale: Our 3P strategy - patents, products, and platforms - and more than 300,000 AI-trained associates help us to deploy enterprise AI at scale.
Partner ecosystems: Our established partnerships with hyperscalers and AI partners, extensive TCS COINTM network, and co-innovation facilities such as TCS Pace Port™ will help clients scale and accelerate the path to value.
