As we near a new year brimming with possibilities, the realm of technology, especially artificial intelligence (AI) and machine learning (ML), is poised for considerable change. Manish Jethwa, the CTO of Ordnance Survey (OS), the national mapping agency for Great Britain, provides a valuable perspective on what these developments may entail and their impact on the geospatial industry.
Dismantling Obstacles with AI
Jethwa foresees ongoing major progress in AI and machine learning, especially with the momentum towards Gen AI. He believes that the combination of large language models (LLMs) with more advanced agents will not only enable the execution of complex tasks for users but also further diminish interaction barriers. This transformation, particularly in the geospatial sector, indicates that converting natural language into accurate data queries will become increasingly effortless, ultimately enhancing the accessibility, mainstream appeal, and user-friendliness of geospatial datasets.
Preparation for Complicated Activities
Jethwa expresses optimism about advancements in the wider field of machine learning, fueled by improved access to graphics processing units for training purposes. He states, “At Ordnance Survey (OS), we plan to utilize this capability to develop models for specific and intricate tasks, such as automatic feature extraction from images. With the growing amount of data being generated automatically, we hope that next year will also introduce innovative tools and methods for data validation, ensuring it can be reliably used for its intended purposes.” He emphasizes the necessity of not only seeking new capabilities but also ensuring that these tools are responsibly integrated into workflows, with a focus on quality and risk management.
The Moral Boundary
The swift advancement of AI necessitates immediate attention to ethical issues. Jethwa states: “I would like to see a stronger focus on ethical AI and responsible technology development,” which includes the creation of AI systems that are “transparent, fair, and unbiased,” while also taking into account their environmental and societal effects. This emphasis on ethics is summarized in OS’s Responsible AI Charter, which directs their method of safely incorporating new techniques. Additionally, Jethwa underscores the importance of workforce development in effective transformations. He asserts that organizations must dedicate themselves to “retraining and upskilling employees to equip them for the effects of AI and digital transformation.” This is crucial to ensure that in the quest for greater efficiency, companies do not “sacrifice the personality, creativity, and emotion that we contribute as humans in the workplace.”
Adapting to Change While Mitigating Risks
Despite the potential of technological progress, there are still hurdles to overcome on the path to digital transformation. Jethwa highlights that issues like “cultural resistance and rapid successive changes leading to change fatigue are likely to continue.” He emphasizes the need for a thoughtful equilibrium between embracing new technologies and considering the human aspects of transformation processes. As AI increasingly impacts various business functions, including decision-making and risk management, the concern of cybersecurity becomes more prominent. Jethwa notes that “cybersecurity threats driven by AI are becoming more advanced,” and he encourages companies to formulate thorough strategies that encompass everything from data storage to analysis documentation.
The Urgency to Advance
In a rapidly changing environment, organizations that remain stagnant risk being outpaced by their rivals. Jethwa points out: “Businesses that do not adapt expose themselves to dangers, such as shifting customer demands and challenges in attracting and retaining talent.” He further highlights the importance of having a “clear vision for future objectives, effective communication of progress, and recognizing achievements to maintain momentum” in digital transformation efforts. As we approach a new year brimming with potential, the future of AI and geospatial technology presents transformative possibilities – but it must be approached with care. The journey ahead in 2025 necessitates vigilance, a steadfast dedication to ethical standards, and a human element to foster successful innovation.
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