Breaking Down Barriers with AI
Looking ahead, Jethwa anticipates continued significant advancements in AI and machine learning, particularly with the push towards Gen AI. According to him, the integration of large language models (LLMs) with more sophisticated agents will not only perform complex tasks on behalf of users but also further reduce barriers to interaction. This shift, especially in the geospatial field, means that translating natural language into precise data queries will become more seamless, ultimately making geospatial datasets more accessible, mainstream, and user-friendly.
Training for Complex Tasks
Beyond LLMs, Jethwa is optimistic about progress in the broader category of machine learning, driven by greater access to graphics processing units for training.
He says: “At Ordnance Survey (OS), we’ll leverage this capability to train models for specific, complex tasks such as automatic feature extraction from imagery. With an increasing volume of data generated automatically, hopefully next year will also bring innovative tools and techniques to validate data, ensuring it can be confidently utilised for its intended use.”
The Ethical Frontier
The rapid evolution of AI brings with it an urgent need for ethical considerations.
Jethwa explains: “I would like to see a greater emphasis on ethical AI and responsible technology development,” including creating AI systems that are “transparent, fair, and unbiased” while also considering their environmental and societal impact.
Embracing Change While Managing Risks
Despite the promise of technological advancements, obstacles remain in the journey toward digital transformation. Jethwa notes that challenges such as “cultural resistance and rapid successive changes leading to change fatigue will likely persist.”
He advocates for a careful balance between adopting new technologies and addressing the human elements of transformation processes.
The Imperative to Progress
In an evolving landscape, organisations that stagnate risk falling behind their competitors. Jethwa explains: “Companies that fail to keep up open themselves up to risks, such as changing customer expectations as well as attracting and retaining talent.”
Conclusion
As we move into a new year filled with promise, the future of AI and geospatial technology holds transformative power – but it must be used responsibly. The path that lies ahead in 2025 requires vigilance, an unwavering commitment to ethical practices and a human touch in order to drive successful innovation.
FAQs
Q: What are the implications of AI and machine learning in the geospatial field?
A: The integration of large language models (LLMs) with sophisticated agents will reduce barriers to interaction, making geospatial datasets more accessible, mainstream, and user-friendly.
Q: How do you see machine learning evolving in the future?
A: Greater access to graphics processing units for training will drive progress in machine learning, enabling the training of models for specific, complex tasks.
Q: What are the ethical considerations for AI development?
A: Creating AI systems that are “transparent, fair, and unbiased” while also considering their environmental and societal impact is crucial.
Q: How can organisations overcome the challenges of digital transformation?
A: A careful balance between adopting new technologies and addressing the human elements of transformation processes is necessary.
