The Green Data and Energy Innovation Forum is a premier event dedicated to exploring sustainable advancements in data infrastructure and energy management. Over two immersive days, attendees will engage with industry leaders, innovators, and energy experts to discuss solutions for reducing the environmental impact of data centers.

Through a mix of presentations, case studies, and hands-on workshops, the forum will cover key topics such as renewable energy integration, efficient cooling technologies, smart building solutions, and AI-driven energy optimization. Participants will leave with actionable strategies and insights to drive sustainable transformation, reduce carbon footprints, and enhance energy efficiency within their organizations.

6 Key Themes by TwoKnct

  • Sustainable Data Center Design and Architecture: Exploring innovative approaches to data center construction and design that minimize energy use, including modular, flexible designs and green building materials.

  • Renewable Energy Integration and Storage Solutions: Examining the latest in renewable energy sources (solar, wind) and storage technologies for powering data centers, including energy storage systems and sustainable backup options.

  • Efficient Cooling and Waste Management Technologies: Innovative cooling methods (liquid, immersion cooling) and techniques for reducing water usage and managing waste sustainably in data centers.

  • Smart Energy Management and Automation: Leveraging IoT, smart grid technologies, and AI-driven analytics for real-time energy monitoring, load balancing, and predictive maintenance in data infrastructure.

  • Carbon-Neutral and Net-Zero Strategies: Pathways to achieving carbon neutrality, including carbon offset programs, emissions tracking, and green certifications to enhance data center sustainability.

  • Edge Computing and Decentralized Data Models: Exploring the potential of edge computing to reduce data center dependency, optimizing bandwidth, latency, and localized energy use for a greener, more efficient model.