Did you know that a whopping 90% of the data generated every day is unstructured? Think about your calls, emails, PDFs, collaboration documents, shared files, social media posts, and more. This means that we’re only taking advantage of about 10% of the data we produce. Imagine if you could start using that other 90% to train your Large Language Models (LLMs) and get more accurate and trusted outcomes, especially for your business. Salesforce’s new Vector Database in Data Cloud aims to do just that.
Plus, it tackles a major issue in AI—hallucinations—by providing better context and grounding. Let’s explore what this means for your business.
What Is a Vector Database?
First things first, what exactly is a Vector Database? In simple terms, a vector database is a specialized type of database designed to handle and organize complex data points called vectors. Vectors are essentially lists of numbers that represent data in a way that’s easy for machines to understand and analyze. Think of them as the DNA of your data, capturing its unique characteristics and making it searchable and actionable.
Why Is It Important to Clean-up My Data for AI?
Well, AI is like a high-performance sports car. To get the best performance, you need the highest quality fuel. In this case, your data is the fuel. Clean, well-organized data helps AI algorithms learn faster and make more accurate predictions. Salesforce’s Vector Database does the heavy lifting by organizing and optimizing your data, making it ready for AI to work its magic.
What Kind of Data Is Unstructured and Why Is It Difficult to Analyze?
Now, let’s talk about unstructured data. This is the kind of data that doesn’t fit neatly into traditional databases. Examples include emails, social media posts, customer reviews, videos, and even handwritten notes. Unstructured data is everywhere, and it’s a goldmine of insights. However, because it doesn’t follow a consistent format, it’s challenging to analyze using conventional methods.
Imagine trying to find a specific document in a messy office where papers are scattered everywhere. That’s what working with unstructured data can feel like. This is why the Vector Database is an essential tool for your business: It organizes this messy data into vectors, making it easier to search, analyze, and draw insights from.
How Vector Database Works in Data Cloud?
So, how does the Vector Database work in Salesforce’s Data Cloud? It’s all about integration and efficiency. Data Cloud acts as a central hub where all your data lives. The Vector Database takes this a step further by converting your unstructured data into vectors, which are then indexed and stored in a way that makes them easily retrievable.
For example, let’s say you want to analyze customer feedback from multiple sources – emails, social media, and surveys. The Vector Database converts all this feedback into vectors, allowing AI tools to quickly scan through and identify trends, sentiments, and actionable insights. This way, you’re turning a lot of chaotic data into an organized system that can be used to train your AI models with data crucial for understanding your customers. It also helps your employees centralize all the knowledge and best practices in the organization, enabling them to use Einstein Copilot for real and precise responses based on your specific organizational context.
More Data Means More Accurate AI?
You might have heard the saying, “more data means better AI.” This is true to an extent. However, it’s not just about having more data; it’s about having the right data. Quality trumps quantity every time. The Vector Database ensures that you feed AI not just with a lot more data but with high-quality data.
This refined data helps your AI models become more accurate and reliable, leading to smarter business decisions.
Combating AI Hallucinations with Vector Database
Another significant advantage of Salesforce’s Vector Database is its ability to combat AI hallucinations. AI hallucinations occur when AI models generate incorrect or nonsensical information because of poor-quality data or lack of context. By organizing and refining your unstructured data into vectors, the Vector Database provides AI with better context and grounding. This means fewer errors and more reliable outputs, making your AI solutions more trustworthy and effective.
Conclusion
The reality is, 90% of the data generated every day is unstructured, and we’re currently only tapping into a small fraction of it. If GenAI is making an incredible boost in productivity all around the world, imagine the potential results when you have outcomes that are increasingly accurate and useful for each business.
Tackling one of the main hurdles for businesses, such as AI hallucinations, companies can rest assured that their AI models will produce more precise, reliable, and trustworthy results, leading to better decision-making.
Vector Database offers your business a great opportunity to turn chaos into insights and develop better AI models by leveraging data that was hidden from you for years.
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