Industry Net Zero
Innovation Summit 2026
The AI Edition
- 29 May 2026
- Vishakhapatnam
About
The Summit
Visakhapatnam stands at a defining juncture in its economic trajectory. As one of India’s fastest-growing industrial and port-led cities, it is witnessing rapid expansion across manufacturing, logistics, and digital services—bringing with it the pressing challenge of scaling industrial output without a corresponding increase in carbon emissions.
While Artificial Intelligence (AI) is reshaping industries globally, its potential as a strategic lever for decarbonization remains underutilized, particularly in emerging Tier-2 ecosystems such as Visakhapatnam.
Two critical structural gaps hinder progress: an industry capability gap, with limited awareness and practical know-how to deploy AI for decarbonization, and a workforce readiness gap, where academic and skilling ecosystems are yet to build talent at the intersection of AI, data, and climate.
In response, Climate Collective Foundation presents the Industry Net Zero Innovation Summit (INZIS) – AI Edition—a focused, outcome-driven convening to align industry adoption and workforce development, and accelerate AI-led decarbonization pathways toward Industry Net Zero.
Purpose of Industry Net Zero Innovation Summit
Turning Innovation
into Impact
Demystify AI for Industry Net Zero Goals:
Build a comprehensive understanding of how AI can enable and accelerate sustainability initiatives
Discuss Industry Challenges
Create a platform for stakeholders to discuss on-ground barriers in implementing decarbonization solutions across Visakhapatnam’s industrial clusters
Strengthen Talent Pipelines
Align academia and skilling institutions to develop a future-ready workforce at the intersection of AI and sustainability
Discussion Themes
Theme 1
Industry Readiness for AI in Decarbonization
- Enabling industries to discover the potential of AI in accelerating decarbonization and improving operational efficiency
- Identifying and addressing key adoption barriers (data, infrastructure, cost, and capability gaps)
Theme 2
Workforce Skilling for AI-Driven Sustainability
- Building capabilities for the current workforce to integrate AI into sustainability functions
- Preparing the future workforce through academia–industry aligned skilling pathways
Attendees
Industry leaders across manufacturing, processing, logistics, energy, and technology
Startups operating in AI and climate-tech
Academic institutions and skilling organizations
Policy stakeholders and ecosystem enablers
INZIS is bringing key stakeholders focused on industrial decarbonisation to discuss
Strengthening India’s long-term industrial competitiveness
through deep climate tech-led innovation, and effective core technology translation.
Accelerating the transition to net zero for industries
by building collaborative pathways between key stakeholders to deploy technologies in real-world settings, turning promising prototypes into proven solutions
Deepening India’s role in global supply chains
by identifying levers for industry and startups to integrate deeper with climate tech global value chains, and for increasing FDI into India.
Theme 1
Strengthening Industry - Academia Interface for New Solutions Development
- Mechanism to align research objectives of industry and academia around key challenges in industrial decarbonisation, with a focus on developing & validating core (deep) technologies from lab-to-market.
- Ensuring sustained collaboration between industry-guided researchers and entrepreneurs, supported by industry, to commercialise these technologies (via Technology Transfer Offices (TTO), Entrepreneur in Residence (EIR) programs).
Theme 2
Role of Open Innovation in Supporting Industrial Decarbonisation through Derisked Deployment
- How open innovation models can accelerate the adoption of startup solutions by reducing technical and commercial uncertainty.
- Building frameworks for pilot testing, validation, and scale-up that could be shared amongst industry partners.
Theme 3
AI Solutions to Accelerate Industrial Decarbonisation
- Exploring how artificial intelligence and data analytics can enhance process efficiency, asset monitoring, and emissions management.
- Sharing examples of AI-driven solutions that enable predictive control, process optimisation, and material efficiency.
Theme 4
Creating an Enabling Environment for Industry and Startups to integrate deeper with climate tech global value chains
- Identifying opportunities for industry and startups to participate as both suppliers and customers in global value chains for decarbonisation technologies.
- Identifying opportunities for greater FDI & FII into India for manufacturing of decarbonisation technologies.
Expected Outcomes
Strengthened Policy–Industry Alignment for AI-Led Decarbonization:
Identification of priority areas where policy support is needed (e.g., data access, incentives, infrastructure)
Increased Industry Readiness to Explore AI in Decarbonization
Shift from abstract understanding to structured exploration of AI opportunities within organizations
Initiation of early-stage pilots or internal discussions around AI-led sustainability interventions
Roadmap for Workforce Transformation in AI & Sustainability
Identification of key skill areas and capability gaps across industries
Early alignment between industry, academia, and training providers on skilling approaches
Formation of Collaborative Pathways at the Industry Cluster Level
Exploration of shared skilling infrastructure and co-funded training models
Initial discussions around multi-stakeholder partnerships (industry, government, ecosystem players)
Speakers
Partners
Hosted By
Anchor Partners
Outreach Partner
FAQs
Who should attend INZIS 2026?
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What is the format of the summit?
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How can startups participate?
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How is INZIS connected to DCIW 2026?
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About
Climate Challenges
Climate Challenges helps market actors (discoms, IPPs and manufacturing industries) engage with innovative solutions from Climate Tech startups to undertake pilots as a pathway toward their decarbonisation goals.
About
Climate Collective
