November 18, 2026 | UK and Ireland
Service
Industrial Autonomy & Engineering
Industrial Autonomy & Engineering: Building autonomous enterprises where intelligence is embedded directly into the value chain and operating models
Highlights
- Explore how industrial enterprises can progress through five levels of AI maturity, from intelligent automation toward industrial autonomy.
- Hear customer transformation journeys connecting AI and digital engineering with measurable business outcomes.
- Experience demonstrations spanning Industrial AI, engineering, robotics, and autonomous operations.
- Examine how intelligence can be embedded across the industrial value chain, from product engineering to manufacturing, operations, and services.
- Engage with TCS leaders, customers, industry experts, and innovators on how to move AI from experimentation to enterprise scale.
On this page
From automation to industrial autonomy
The TCS Industrial Autonomy & Engineering Analyst Day 2026 is an exclusive gathering focused on how industrial enterprises are transforming through AI at scale.
Centred on the theme “Making AI Real,” the event will examine five levels of AI maturity and the journey from intelligent automation to industrial autonomy.
Executive perspectives, customer stories, thought leadership, and immersive demonstrations will show how organisations are converting AI ambition into measurable outcomes.
Why scaling AI remains an industrial challenge
Industrial enterprises are moving from isolated AI and automation initiatives toward intelligence embedded across products, engineering, manufacturing, and operations. The challenge is turning experimentation into repeatable, scalable business impact.
Doing so requires enterprises to connect technology choices with engineering realities, operational context, data, governance, and business outcomes. Leaders therefore need practical evidence of how AI can move beyond pilots, work across the industrial value chain, and support increasingly intelligent and autonomous operations.
This is aligned with TCS's current IAE narrative around embedding intelligence across products, processes and operations
Experience AI in action
The Analyst Day will explore the journey to industrial autonomy through four complementary formats:
- Executive and expert perspectives: Hear from TCS leaders, industry specialists, and leading industry associations.
- Customer transformation stories: Examine digital engineering and AI journeys, including relevant business outcomes and benefits.
- Immersive demonstrations: Experience Industrial AI, engineering, robotics, and autonomy solutions.
- Interactive engagement: Discuss opportunities and challenges directly with TCS thought leaders, decision-makers, customers, and technology experts.
The event will also preview TCS Engineering Research, Innovation, and Industrial AI initiatives.
From infrastructure to intelligence
Attendees will gain a structured perspective on the five levels of AI maturity and how enterprises can progress from intelligent automation toward industrial autonomy. The programme will show how enterprises can move from infrastructure to intelligence by connecting assets, platforms, data, and AI to create an adaptive decision layer across industrial operations. Customer examples will place this transformation in the context of the industry value chain, from product design and engineering through manufacturing, operations, maintenance, supply networks, and service, linking technology choices to measurable business outcomes.
Live demonstrations and discussions with customers, peers, innovators, and TCS experts will help attendees assess how intelligence can be embedded across the value chain to improve decisions, accelerate transformation, and enable increasingly autonomous industrial operations.
Making AI real at industrial scale
The next phase of industrial AI will be defined not simply by adoption, but by the ability to translate intelligence into scalable business and operational impact. TCS IAE Analyst Day 2026 brings together the perspectives, experiences, and demonstrations needed to examine what that transition could mean for the future of engineering and industrial operations.