As enterprises prepare for 2025, a powerful convergence of artificial intelligence, sustainability initiatives, and innovative technologies is setting the stage for transformative change across industries. Industry leaders are pointing to a future where environmental responsibility and technological advancement go hand in hand, creating new opportunities for business growth while addressing critical environmental challenges.
Transforming Aviation and Energy Through Sustainability
In the aviation sector, Ranjit Kulkarni, Vice President & General Manager, Energy & Sustainability Solutions at Honeywell India, highlights groundbreaking advancements aimed at reducing greenhouse gas emissions.
“At Honeywell, we will continue driving innovation across multiple sectors to significantly reduce greenhouse gas emissions and promote a more sustainable future,” he states.
Kulkarni outlines how renewable fuel solutions will remain focused on transforming low-value renewables (such as waste materials, bio feedstocks, and captured CO2) into high valuable energy sources, positioning aviation for a sustainable future with an estimated impact of 270 million metric tons of CO2e mitigation over the next decade. The work towards carbon capture, utilization, and sequestration (CCUS) is further estimated to mitigate 320 million metric tons of CO2e, keeping harmful emissions out of the atmosphere and creating a cleaner world.
Cybersecurity: A Critical Pillar of Sustainable Strategies
As enterprises embrace digital transformation, cybersecurity has emerged as an essential enabler of sustainability. Jaimon Thomas, Vice-President of Customer Engineering at Cyberproof – a UST Company, underscores the importance of protecting systems to achieve net-zero goals.
“Sustainability is no longer just a trend; it’s a strategic imperative. As organizations strive for energy efficiency and net-zero goals, cybersecurity emerges as a crucial, often overlooked, component of organizations strategy. After all, a compromised system can undermine even the most sustainable initiatives, leading to missed timelines, increased costs, and even potential environmental damage. As organizations increasingly rely on cloud-based systems and cloud-native applications, IoT devices, and smart monitoring solutions, the attack surface expands significantly with increased risk. A comprehensive understanding of the threat exposure and defining a robust set of protocols to validate, identity, monitor and mitigate these threats; is crucial,” he asserts.
AI-Driven Analytics for a Sustainable Future
Looking ahead, emerging sustainable technologies are aligning profitability with environmental responsibility. Ramakrishnan Jonnagadla, Senior Vice President of Engineering Management at Ascendion, highlights the transformative role of AI-driven sustainability analytics.
“Thanks to emerging technologies that directly tie profitability with environmental responsibility, enterprises in 2025 can expect to execute to their commitments with confidence. AI-driven sustainability analytics could be a great enabler for enterprises to track, measure, and reduce their carbon footprints. These Advanced AI algorithms, for example, can optimize supply chain logistics to reduce emissions by as much as 30%.
Simply put, emerging sustainable technologies have become no longer optional but part of the essentials for future-proofing enterprises. Equipped with these, enterprises can now boldly venture into leading the revolution, while driving businesses with profitable growth and yet emerge as leaders in building a sustainable world, and a better future for humanity” Jonnagadla states.
As 2025 approaches, sustainable technologies are no longer optional but essential for future-proofing enterprises. From AI-driven insights to carbon capture and advanced cybersecurity, businesses are leveraging innovation to achieve environmental and economic goals. With industry leaders driving these efforts, the next wave of transformation promises not only profitability but a lasting positive impact on the planet.
AI and Data Quality: The Cornerstone of Scalable Solutions
According to Charlie Farah, Field Chief Technology Officer for Analytics and AI at Qlik, the pragmatic adoption of AI will be pivotal for businesses aiming to unlock its full potential.
“As Artificial Intelligence (AI) continues to reshape industries, a pragmatic approach to AI adoption is critical. Success is ensured by having a strong foundation, which is why a focus on AI fundamentals is paramount, rather than getting caught up in the hype. High-quality data remains at the core of actionable insights, and the adage ‘garbage in, garbage out’ has never been more relevant,” says Farah.
He emphasizes that by 2025, the industry focus will shift beyond generative AI to scalable, adaptable solutions that prioritize data quality and governance and practical use cases. Businesses with robust data infrastructures will be better positioned to harness AI responsibly and effectively.
The Convergence of AI, Edge Computing, and Sustainability
Enterprises are increasingly integrating advanced technologies to redefine their competitive edge. Manoj Paul, Managing Director, India, Equinix, notes the convergence of AI-driven infrastructure, edge computing, and sustainability initiatives as key drivers of this transformation.
“Private AI deployments are increasingly being considered by enterprises to complement public cloud solutions, signaling a more sophisticated approach to AI adoption. This evolution reflects a focus on balancing innovation with critical considerations such as more control, data sovereignty and cost efficiency and we expect move from Cloud to Private AI when POCs advance to the next stage. Notably, sustainability is also emerging as a fundamental driver of technological advancements, particularly in optimizing data center operations,” Paul explains.
Revolutionizing Healthcare with AI
The healthcare sector is undergoing significant transformations, with technology at the forefront. Enbasekar D, Co-founder & CTO of MediBuddy, shares insights into how AI-powered tools are enhancing patient-centric care.
“Artificial Intelligence, particularly advanced language models like Llama and GPT-4, are revolutionizing healthcare interactions. These AI-powered tools can provide preliminary medical information, answer health-related questions, and offer preliminary guidance based on symptoms. While not replacing medical professionals, they serve as valuable first-line resources for health information and initial assessments.” says Enbasekar.