Are you curious about where AI is heading in Salesforce? In which AI areas are CEOs of the world’s largest companies investing? Or are you interested in more detailed information about the mechanism of AI engagement in Salesforce?
Chris Krecikij, Regional Director Enterprise Software Sales at Salesforce, shared his experiences with using AI at the Digital Transformation Summit 2024.
The business environment is characterized by the following requirements for companies:
Increase profits
Cost reduction
Productivity increase
The AI revolution has affected almost everyone, which is why companies are also starting to become more interested in whether AI can help them meet these requirements.
We are entering the third wave of AI
We are past the Predictive Analytics phase, which began gambling database in 2014 with the release of Salesforce Einstein. In 2023, we entered the Generative phase, which marked the launch of ChatGPT.
>We are now slowly entering the third wave, where we will have autonomous agents communicating with each other and perhaps also performing some manual tasks for us. And as we move through these waves of the AI revolution, as a company we see CRM playing an even more important role for our customers than ever before .
The most common use cases for generative AI include automating manual tasks, creating content, and improving efficiency. Salesforce offers solutions that cover most of these cases, helping organizations move from concept to execution quickly and efficiently.
Generative AI: current status and future trends
Generative AI is at the peak of interest today. An October 2023 Deloitte survey of Fortune 500 CEOs revealed that 55% of them have already evaluated or experimented with generative AI, 24% are using AI in limited practice, and 13% are using AI at scale. This rapid development is evidenced by another survey in February 2024, which shows a dramatic increase in the adoption of generative AI.
The survey was repeated on the same sample of respondents let’s get some terminology straight again in the spring. The image below demonstrates the survey result, which clearly confirms that in a period of less than 4 months there has been a significant increase in the number of solutions already implemented.
The most common use cases for generative AI include automating manual tasks, creating content, and improving efficiency. Salesforce offers solutions that cover most of these cases, helping organizations move from concept to execution quickly and efficiently.
Enterprise AI Challenges – 71% of Enterprise Applications Are Not Integrated
Many organizations face the challenge of connecting their data sources. The typical large company has hundreds to thousands of applications with their own databases, creating disconnected data islands. Our research shows that 71% of enterprise applications are not integrated. Data is often trapped in data warehouses or legacy mainframes and in different formats, limiting business value.
Generative AI: and future trends
Salesforce Einstein Trust Layer is a critical component for companies using AI and machine learning (ML).
When a user types a query (prompt), Einstein accesses thailand data available data sources based on the user’s permissions. Personally identifiable information is masked before the query is sent to the AI model. The model also ensures that the outputs are relevant and safe.
Users can choose between an external LLM (Large Language Model) or their own model. When an external LLM is selected, additional security is applied to prevent . Therefore, data from being stored outside of Salesforce.
All interactions are recorded in an audit trail, allowing for later tracking and review of all actions.