Improve the Effectiveness of Your AI Agents with Verified and Updated Data
Leaders in a variety of industries are deploying generative AI agents to optimise customer service and stay ahead of the competition. But it’s not just about having AI agents, it’s about having them respond accurately and be up-to-date. Are you ready for your AI agents to deliver reliable and relevant answers?
2023 was gen AI’s breakout year. In 2024, enterprises are asking how far they can take it to drive genuine impact. And grounding AI models in enterprise truth is how businesses are turning the opportunities of gen AI to reality
— Oliver Parker, VP, Global Generative AI GTM, Google Cloud
Accuracy Matters: Grounding your AI Agents in accurate data
Users interact with your AI agents looking for fast and accurate answers. For your generative AI agents to meet these expectations, it is critical that they are based on business truth. This means training the models with data specific to your business, rather than relying solely on generic base models.
When AI agents are grounded in unique and verified information, their responses are more accurate and contextualised. This not only improves the user experience, but also reduces the risk of providing incorrect or irrelevant answers. Fact-checking your AI and personalising it with real data is key to superior results.
By customising your AI agents, you ensure they are able to handle complex, business-specific questions, providing accurate solutions that reflect the reality of your business.
Keeping Data Current: The Key to Relevant Answers
For your AI agents to remain effective, they need to be not only well-founded, but also up-to-date with recent data. The answers they provide need to be based on the most current information available, which requires a constant flow of up-to-date data.
By feeding your AI agents with up-to-date databases and real-time sources, you ensure they can provide relevant answers. This includes integrating enterprise applications and external tools such as Google Search so that agents always have access to the latest information. AI agents that use up-to-date data can better adapt to market changes and new customer needs.
Four keys to basing your models on the veracity of data
Ensuring that your AI agent is aligned with authentic, up-to-date data not only improves the quality of responses, but also boosts user confidence. Here are four ways you can ground your models in the veracity of data, so that your AI applications deliver more accurate, contextual and reliable responses:
- Data authenticity
- Data Relevance
- Minimisation of hallucinations
- Real integration
If you want to see each in detail, we recommend you download the ebook Grounding generative AI in enterprise truth from our partner Google Cloud.
Generative AI has the potential to transform the way you interact with your customers, but only if it is well grounded and fed with up-to-date data.
If you want your generative AI agents to respond effectively, you must ensure they are grounded in business truth and fed with current data. Accuracy and relevance are the keys to delivering a better customer experience and staying ahead of the competition.
If you want to stay ahead of the competition and deliver superior customer experiences, make sure your AI is built on a solid foundation and fed with fresh information. That way, you can ensure your customers receive accurate, reliable and always-relevant answers.
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