TecHive Knowledge Events
Event Highlights
Relive the most impactful moments from our recent AI + Energy Conference 2025.
Tanish Shewani – CEO / Founder, Vishwa Carbon
What if Scope 3 compliance could be seamless, defensible, and margin-positive? In this bold session, Tanish Shewani, Founder & CEO of Vishwa Carbon, demonstrates how his team is reimagining Scope 3 carbon accounting for the oil & gas industry — turning data into an evidence engine that connects refinery sensors, ERP dispatches, and blockchain for traceable, auditable emissions data. Discover how AI, data, and design can make climate compliance a competitive advantage.
More Highlights
Rohith Pallerla – AI/ML Scientist, Wipro
November 11, 2025
Ronita Sengupta – Group Chief Corporate Development Officer, GTT Data Solutions
November 11, 2025
R Rajesh Kumar Swamy – Founder, Canwair Technologies Pvt Ltd
November 11, 2025
Kush Agarwal – President & CEO, YelloSKYE
May 27, 2025
Gunashri Deshbhartar – Chief Manager (AI-ML), Indian Oil Corporation Limited
May 27, 2025
Navnath Kale – Founder & CEO, RajYug IT Solutions
May 27, 2025
Wael Alhabbash – Regional Business Development Manager, Ruwais Marine Services
May 27, 2025
Sarang Kamalakar – Founder & CEO, Humac.ai
May 27, 2025
Dr. Moumita Mukherjee – Research Lead, Solinas Integrity Pvt. Ltd.
May 27, 2025
Vidya Hankare – Digital Transformation Consultant
May 27, 2025TecHive Ecosystem
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Publications & Papers
April 10, 2026
Simulation Ready: From Anticipation to Action
Explores how organizations can strengthen disaster preparedness and emergency response through the integration of AI, anticipatory action, and simulation-based training. Covers hazard monitoring, vulnerability mapping, AI-driven simulations, and the ALERTSim platform as tools for proactive disaster risk reduction.
April 10, 2026
— William Craig Fugate
AI in Emergency Management: Tool or Decision-Maker?
AI is already embedded in emergency management. The question is no longer whether to use it — it's who is accountable when it's wrong. This piece examines the governance principles that must shape AI deployment in emergency operations: explainability, equity, and resilience, with human accountability at the center.
April 9, 2026
— Jono Anzalone
Session Insights and Key Outcomes – AI + DRR: Intelligence for Resilience
AI is not merely enhancing disaster risk knowledge — it is fundamentally reshaping how risk is defined, interpreted, and operationalized. This session outcome explores the shift from data abundance to decision-grade intelligence, the indispensable role of human judgment, and why resilience is as much a governance challenge as a technical one.
April 7, 2026
— Sanjay K Srivastava
How do you see an early investment in AI-enabled DRR architectures as central to climate resilience, economic stability, and development pathways?
An exploration of AI's transformative role in disaster risk reduction (DRR), moving beyond hazard forecasting to anticipating real-world impacts on communities and infrastructure. Covers the shift from traditional geospatial tools to GeoAI, the economic case for resilience investment, and the need for responsible, inclusive, and ethical AI governance.
April 7, 2026
— Soenke Ziesche
AI and the Blind Spots of Disaster Risk Knowledge
A critical examination of AI's limitations in disaster risk reduction, focusing on biased training data skewed toward the Global North, the opacity of deep learning models, and unresolved governance challenges. Proposes mitigation approaches including inclusive data governance, participatory model development, and bias audits.
Testimonials
Hear what industry leaders say about our TecHive Association
Thank you for inviting me to the AI + Energy Conference 2025 organized by TecHive. It was an incredibly informative and well-structured session. I found the content highly relevant and forward-looking. The webinar not only enhanced my understanding of AI and machine learning but also sparked new ideas for applying these technologies in real-world oil and gas operations—ranging from predictive maintenance to intelligent data analysis. I'm grateful for the opportunity to participate and appreciate TecHive's efforts in delivering such a valuable learning experience.
Anoop Kumar L Whabi
Sr. Oil & Gas Professional | Energy Transition Expert
United Arab Emirates
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