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Dr. Ashish Agarwal, Co-founder and CTO of WRMS – Interview Series

Ashish Agarwal is an outstanding CTO with extensive experience in the industrial automation industry. He has a strong skill set including software development, startups, mobile payments, embedded systems and mobile devices. Weather Risk Management Service Private Co-founded by Ashish. Ltd. (WRMS) has served as Chief Technology Officer since January 2016. In this position, he has been developing innovative solutions to mitigate weather-related risks, thereby greatly improving the company’s service offerings.

WRMS is a global company specializing in agricultural and climate risk management with over twenty years of experience. The organization has developed solutions that combine advanced technologies to help businesses and communities adapt to climate-related challenges.

With a multidisciplinary team of experts and consultants, WRM is committed to identifying emerging climate risks, assessing potential impacts, and developing risk management strategies designed to improve climate resilience.

What prompted you to find Weather Risk Management Services (WRMS) in 2004? Are there specific challenges or gaps in the market you are trying to solve?

Founded in 2004, WRM is a huge response to overwhelming demand for farmers and businesses to protect itself from uncertainties deprived of climate risks. At that time, agricultural communities and businesses had suffered from unstable weather patterns. Their losses are only exacerbated by the slight use of reliable risk mitigation tools.

Recognizing this gap, we set out to create innovative technology-driven solutions for active climate risk management. We need to treat data, analytics and insurance-enabled models as a form of authorization, providing stakeholders with timely insights on climate risks and financial means.

Over the years, WRM has surpassed agriculture, providing AI-led climate resilience solutions to various departments to help companies manage climate-related disruptions. We are still leveraging IoT, AI and predictive analytics to address climate change that threatens organizations and their sustainability, enabling them to make informed decisions about protecting their operations.

How has your vision for WRM developed over the past two decades, especially as climate change and its impacts grow?

Over the past two decades, WRM has grown from a farmer-centered approach to a comprehensive climate risk management organization. Initially, our focus was on providing innovative solutions to help farmers mitigate climate risks. As climate change accelerates, we have expanded our expertise to integrate advanced technology, data analytics and risk management frameworks to build resilient solutions for a wide range of industries.

Today, WRM is at the forefront of climate risk solutions, expanding agriculture into areas such as travel, renewable energy and insurance. Our vision is not only to protect livelihoods, but to enable businesses and communities to have adaptive strategies to ensure sustainability in unpredictable climates. This journey strengthens our commitment to providing impact-driven solutions to help vulnerable groups respond with confidence to climate challenges.

How does WRM distinguish itself from its competitors in providing data-driven climate risk management solutions?

WRM stands out with data-driven and technology-centric climate risk management. Unlike traditional models, we utilize cutting-edge analytics, artificial intelligence (AI) and predictive modeling to provide accurate real-time risk assessments. This enables organizations to make proactive and wise decisions about navigating climate risks.

Our customized climate resilience solutions go beyond assessments and provide governments and businesses with tailored strategies to identify and mitigate body climate risks. By integrating industry-specific insights, we help stakeholders build sustainable long-term adaptation frameworks to combat climate volatility.

What really distinguishes WRM is its multidisciplinary expert team that specializes in climate risk identification, impact analysis and risk reduction. Not only did we analyze climate threats, we also designed integrated risk management programs to enhance resilience, minimize losses and have a lasting impact on industries from agriculture and renewable energy to infrastructure and finance.

Can you dig deeper into how Secusense uses AI-driven analytics and granular weather data to help businesses make smarter decisions?

Secusense is WRMS’s AI-driven climate intelligence platform that provides organizations with real-time, hyperlocal weather insights and advanced analytics. By leveraging machine learning, predictive modeling and weather stations linked to satellites, Secusense can provide high-precision predictions and empower businesses to make informed and timely decisions in the face of climate uncertainty.

Organizations integrating Secusense gain strategic advantages by identifying risks before upgrading. Its ability to cover location-specific weather data with operational parameters helps businesses evaluate climate threats such as storms, heat waves, and floods. This level of customization ensures targeted risk mitigation, optimizes resource deployment and enhances business continuity.

What really sets Secusense apart is its seamless risk intelligence framework that covers early warnings, impact assessments, and response plans. By providing actionable insights, it enables businesses to predict disruptions, protect assets and enhance climate resilience by providing short- to medium-term forecasts. With Secusense, companies will not only respond to climate risks, but also actively adapt to ensure sustainability and long-term growth.

AI-powered tools play a key role in WRM’s products. How do these tools enhance climate resilience and risk management for customers?

AI-driven solutions are at the heart of the WRMS approach, enabling precise risk assessment and proactive climate adaptation strategies. By processing large amounts of climate data, these tools can identify trends, predict potential disruption, and provide actionable insights to minimize risk.

For our customers, this translates into stronger preparation and adaptive decision making. AI-driven models analyze historical weather patterns, real-time climate variables and geospatial data, enabling companies to optimize resource allocation, strengthen supply chains and reduce financial exposure. This predictive intelligence helps them build long-term resilience to resist evolving climate threats.

How does WRM ensure the accuracy and reliability of its prediction models, especially in areas where real-time data is crucial?

WRM runs within a framework built on IMD and WMO for verification and reliability. We desire an ever-expanding IoT network through a wide variety of AWS-based facilities in a variety of geographic locations through a variety of AWS-based facilities that provide complete coverage and complete and thorough data services.

Advanced data infrastructure has the ability to collect, verify and store real-time data about temperature, humidity, rainfall, wind speed, wind direction and solar radiation, forming the backbone of our business, ensuring that our prediction models are based on accurate and reliable data for those Areas where real-time information has important significance are very important.

As climate risks continue to evolve, how can WRM use AI and data analytics to maintain the lead in these changes?

WRMS continuously applies AI and data analytics to monitor weather patterns and other climate variables to lead the challenge posed by rapidly changing climate conditions.

Our AI-based tools identify emerging trends and potential risks, allowing us to fine-tune our predictive models and risk management strategies in an advanced way. This proactive approach ensures that our customers get timely and relevant insights, allowing them to adapt to changing climate conditions and effectively mitigate potential impacts.

How do you view the role of technology, especially AI, in the future of climate risk management?

Technology, especially AI, will play a more important role in future climate management. Given that climate risks have become more complex and unpredictable, regulations on large amounts of data processing and analysis will be required when developing accurate predictive models and sound risk management practices.

We hope that advances in AI will provide better predictions, optimal resource allocation, and greater resilience to climate threats. On the WRMS side, we will continue to maintain the forefront of these scientific advancements to ensure our customers get the best solutions.

What new opportunities do you foresee to leverage data-driven climate resilience strategies?

Organizations that integrate resilient strategies supported by data can unlock important advantages from risk prevention operations to enhanced regulatory compliance. Predictive analytics and scenario modeling enables businesses to predict disruptions, improve decision-making and ensure long-term financial stability in an increasing number of climate landscapes.

In addition, investing in the resilience and sustainable infrastructure of the supply chain can enhance business continuity while increasing company reputation and investor confidence. By proactively responding to climate risks, companies can not only protect their assets, but also position themselves as sustainable and responsible governance for industry leaders.

Are you any emerging trends or technologies that can revolutionize the way we manage climate risks?

I am very optimistic about some of the key trends and upstream technologies that have planned to undermine climate risk management. AI and ML change the game by making measures through large-scale data sets to predict events such as droughts and floods, and through endless predictions and responses to climate risks. IoT-enabled devices play an increasingly important role in providing real-time environmental data to enable quality decisions. Earth observations provided by drones and satellites create high-resolution images that can be used to assess climate effects and future risks.

Simple advanced computing and data analysis provide complex approaches for climate risk assessment, while climate-resilient infrastructure assets are backed down to reduce the impact of extreme weather events. New climate risk insurance products are emerging to support businesses and communities in the recovery of climate-related events. These waves of innovation are only upgrading our ability to manage climate risks and develop a culture of resilience and sustainability.

We at WRMS Global are committed to leveraging these technologies to build a safer and more sustainable world.

Thanks for your excellent interview, and readers who hope to learn more should visit WRM.

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