The Role of AI in Transforming Industries
Kirsty Biddiscombe, the UK Sales Business Development Manager for AI, Machine Learning, and Analytics at NetApp, explored the pivotal role of artificial intelligence and machine learning during a recent session at Tech & AI LIVE London. With practical examples including agriculture, where drones identify specific crops for targeted treatment, she highlighted AI’s capacity to minimize environmental impact.
‘This approach reduces the need to spray entire fields, lowering environmental impact and costs,’ Biddiscombe noted in her discussion.
Healthcare Innovations Driven by AI
Advancements in healthcare have illustrated AI’s potential for preventative medicine. By analyzing DNA markers across extensive datasets, AI can predict patients’ likelihood of developing certain conditions by age 40, enabling early interventions that save lives and millions in healthcare costs.
‘The human eye could never identify these anomalies, but AI can,’ she added, showcasing its diagnostic capabilities.
Ensuring Safety with AI Deployment
The importance of safety in AI deployment cannot be overstated, particularly in sensitive sectors like healthcare. Biddiscombe emphasized the need for ‘guardrails’ to ensure responsible AI use, which includes stringent testing and proof of concept phases along with tools like digital twins for real-world simulations.
‘Nothing goes into production without being thoroughly tested,’ she assured attendees.
The Vital Nature of Clean Data
Biddiscombe pointed out that over 60% of AI projects fail to reach production due to outdated legacy systems. She likened data management to ensuring clean water for consumption—clean data is crucial for accurate AI outcomes.
‘If you build the right foundation, what you build on top will be solid,’ she advised.
Opportunities Amidst Challenges
Despite challenges presented by new regulations, Biddiscombe remains optimistic about the potential for AI to assist both large enterprises and smaller companies. Smaller firms can utilize third-party platforms for quick AI advancements without needing extensive resources.
‘There’s no longer a need for a build or buy mentality,’ she pointed out, emphasizing collaboration with experienced technology partners as a path forward.
Looking to the Future
As the landscape of AI evolves, Biddiscombe stressed the importance of data security and continuous innovation in areas such as genomics and personalized medicine.
‘Don’t be scared of it—be creative and explore how AI can help your organization,’ she concluded, encouraging businesses to embrace the transformative potential of AI while prioritizing security.
For additional insights into how technology is shaping modern enterprises, explore further resources from Technology Magazine.
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