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The Future of AI Is Completely Personal
AI assistants and agents have become increasingly popular in recent times. From writing software to browsing the web, these tools have made our lives easier. However, I strongly believe that their impact is still limited. This is because most current AI systems lack one crucial element: personalization.
The first wave of generative AI tools has been impressive, but it’s time for the next step. Instead of relying on generic knowledge captured in large language models (LLMs), we need AI agents that can understand us and our specific needs. These advanced AI tools should be able to recall past choices and learn from our experiences.
To achieve this level of personalization, enterprises must recognize the importance of leveraging corporate and institutional knowledge. This means layering in relevant context as needed and making all necessary information accessible to the AI tool. It’s crucial that data teams preach about data collation and curation once again, as these processes are now more critical than ever.
Delegation of tasks to AI also requires absolute trust. To build this trust, organizations must ensure that their AI tools can not only understand their standards but also respect them by constraining their output accordingly. Advanced AI tools should be able to do just that.
Moreover, if the data required for AI decision-making is proprietary and confidential, it’s essential to treat it as such in the AI stack. For instance, if you need to feed secure internal data to an LLM for an AI agent to complete a critical task, using an on-demand model or privately-hosted solution may be more suitable.
As we move forward, it’s crucial that businesses find vendors that excel at personalization. We’re not looking for generic AI tools that treat every single business or user the same way. Instead, we need AI agents designed to behave uniquely for each individual or organization.
In conclusion, I believe that personalization will take AI to a new level and drive 10x gains in productivity and efficiency. It’s not a revolutionary concept; we’ve gone through similar transformations before, from personalized workflows and lifestyles to tailored digital experiences.
Source: www.forbes.com
