GUEST OPINION: Generative Artificial Intelligence (genAI) has been the tech story of 2023 as organisations scrambled to adopt the technology in the enterprise. Chatbots, automated report generation and personalised emails are just the tip of the iceberg of how GenAI -drives creativity and productivity while improving customer experience.
It is worthwhile to note that AI models are only as good as the data that they are fed; therefore, the key to trusting your AI is to first trust your data. As companies look to deploy more AI and machine learning (ML) technologies across the business, there is an increasing demand for a trusted data platform to help organisations access their data across all environments. Advancements in AI/ML have even let organisations extract value from unstructured data, which makes the management, governance, and control of all data critical – if you have clean, trusted data within the data platform, that is the AI model you can trust.
Organisations will become more data-driven with the continued rise of genAI. In fact, an impressive 75% of Australian organisations are already adopting AI/ML technologies. As businesses adopt new genAI iterations to democratise more of their data, the need to secure that data and empower the right people to access it becomes paramount. Privacy concerns are valid seeing how companies train or prompt genAI models like ChatGPT with data.
To navigate data security and privacy risks, organisations must build their strategies and plans with data security and governance front of mind as enforcing third-party security solutions is often a complicated process. Investing in modern data platforms and tools with built-in security and governance capabilities allows companies to democratise their data in a secure and governed manner, while successfully training enterprise AI/ML models.
{loadposition kenn}
