Improving LLM Performance with Unified Data

New large language models are being introduced every day. Some estimates put the number at over 700,000. Companies are clamoring to get their hands on the latest models, diying their AI strategies and expecting transformative results. But that's the wrong path, as AI agents are only as good as the data they have access to. Here are three reasons why unified data is more important for your AI strategy than the latest model. Update Number one Understand your customer. Think of the LLM as the jet and the data as the fuel. You can't exactly fly a jet without fuel. For most enterprises, training an in house LLM is complex, time consuming, overwhelming and untrustworthy. In fact, 52% of CIOs say a lack of trusted data is among their biggest AI fears. But if you can capture and feed all of your structured and unstructured data into an LLM, your agent can understand your business and deliver personalized experiences for customers. For example, Aston Martin uses Salesforce's data cloud to unlock all of its company data wherever it lives. Using data Cloud, Aston Martin created over 2 million unified customer profiles. That means unifying phone numbers and emails into one view where they previously showed up as distinct customers. These unified profiles mean granular data can be tracked, like if a customer has conducted a search for a newer vehicle model. A sales rep can then see that captured interaction and use an AI agent to send a personalized text to the customer, schedule a test drive of the new car, and even let them know the trade in value of their current vehicle. Number two DIY strategies don't work. Surveys show DIY AI initiatives often decrease productivity, raise costs, and limit agent effectiveness. Almost one third of IT workers say they lack the time to implement and train AI models, and nearly half say infrastructure can't keep up with demand. Increase speed to lead when businesses respond to questions within five minutes, there's a 75% chance of turning those leads into customers. In fact, Salesforce reduced lead time by 98% by creating a unified view of their customers. Despite all of this, 59% of IT leaders still don't have a unified data strategy. So don't let disorganized data slow down your AI adoption.