Unify all your business data with Salesforce’s Data Cloud Vector Database.
Artificial intelligence is dominating the year 2023, isn’t it?
With the introduction of generative AI, the Einstein 1 platform, Co-Pilot Studio, and enhancing the capabilities of Salesforce Marketing and Commerce Cloud with AI tools, Salesforce has extended its reach across various sectors of the industry.
While this year’s major focus seemed to be AI and data, there’s yet another surprise in store—perhaps for a holiday season celebration?
Salesforce has just announced Data Cloud Vector Database and Co-Pilot Search from its World Tour NYC to manage unstructured data, reflecting the increasing importance of data management in our world today.
In this blog, let’s delve into understanding what Data Cloud Vector Database and Co-Pilot Search are and why they matter to us.
What is a Vector Database?
A vector database stores data as mathematical representations, making it easier for machine learning models to recall previous inputs. This is useful for power search, recommendation systems, and text generation.
Unlike traditional databases, a vector database can identify data based on similarity rather than exact matches, enabling a better contextual understanding of the data by computer models.
Why is the Data Cloud Vector Database launched by Salesforce?
An organization uses a lot of business data, and most of it comes in unstructured form from email, PDFs, social media, audio files, and more. Filtering the relevant data has always been time-consuming and costly, but with the data cloud vector database, firms will now be able to extract the required data from the unstructured data quickly and simply via AI prompts.
Also, the Data Cloud Vector Database is now part of the Einstein 1 Platform, which will enhance the decision-making capability and give better customer insights across all Salesforce CRM applications. It also empowers Einstein Copilot Search, a new feature that will strengthen Salesforce’s AI assistant with better search capabilities, using all your business data to provide more accurate information when you need it.
Why is it important, and what does that mean for the business organization, then?
Why is it important?
The fact that data is crucial and sensitive cannot be ignored in today’s world. Thus, the pressure of delivering accurate information, making decisions based on data, and providing the best customer experience has become extremely significant.
However, 90% of the collected data is unstructured, be it in the form of PDFs, emails, social media, audio files, and more. This makes it really inaccessible for AI models and business apps.
As per Forrester’s predictions, the volume of unstructured data will double in 2024, as data is now the essence of every business.
With a majority of IT leaders believing that generative AI can transform the utilization of data, the Data Cloud Vector base will be a game changer in leveraging the value of unstructured data.
What benefits can business organizations expect from Einstein Copilot Search and the Data Cloud vector database?
Elimination of LLMs:
The Data Cloud Vector database is all set to remove the manually fine-tuned large language models (LLMs) and will use all the business data to improve AI prompts automatically.
Combining Various Data Types:
The Data Cloud Vector database will empower organizations to leverage a variety of data types, like PDFs, emails, documents, and more, within their business apps and workflows by unifying unstructured data with structured data to further improve the functionality of AI, automation, and analytics.
Improving a Business’s Functionalities:
By unifying different types of data, it thus helps businesses make better decisions and get more value from the installed AI investments, further enhancing the return on investment.
Einstein Copilot Search:
It will be available in February with enhanced AI search capability that will have the ability to decode, solve, and respond to complex queries from a myriad of unstructured data.
Einstein Copilot Search will magnify the Einstein Copilot potential, helping departments of sales, marketing, customer service, commerce, and more with an instant AI assistance solution, and guess what? It will be able to provide citations to source materials.
Sounds cool, right?
Outsource Salesforce’s Vantage Point:
With the launch of the Data Cloud Vector Database, it will become easier, less expensive, and less time-consuming to use unstructured data effectively.
With the fusion of unstructured and structured data, this new database will turn every piece of information collected via email, social media, and more into valuable insights.
It is certainly going to be a game changer for creating a data-driven ecosystem where AI, CRM, automation, copilot, and analytics will come together on a single platform and can convert data into actionable insights, thus driving innovation and giving the best customer experience.
If you want to know more about AI in Salesforce and are thinking of implementing Salesforce’s services for your business, schedule a free call now to learn more from our experts at Outsource Salesforce.