Gain a Competitive Edge in Financial Services with AI & Data
Learn how you can unify client data and securely use it to personalize communications, identify selling opportunities based on spending trends and improve your customer service.
Important: This session is first come, first seated. You do not have a reserved seat.
, Customer Digital Transformation Officer, Salesforce
Role: Data Analyst, IT
Industry: Financial Services
Product: Agentforce Financial Services, Data 360
Topic: Data
Session Level: Intermediate
Session Type: Theater
Wednesday, Sep 189:30 AM - 9:50 AM PDT
(4:30 PM - 4:50 PM GMT)
Moscone West, L2, Data Cloud Theater
Session Summary by Einstein: The session focused on the digital transformation journey of Absa bank, showcasing its significant investment in the Salesforce ecosystem, including Sales Cloud, Service Cloud, Marketing Cloud, and Financial Services Cloud. A key aspect of the transformation was addressing the challenge of creating a unified customer profile across various systems, leveraging Data Cloud and AI models to enhance customer engagement and experience. The integration with Data Cloud facilitated real-time actions based on customer data, leading to increased revenue and improved service. With over 60 AI use cases in production, the bank has seen tangible benefits, such as a substantial increase in revenue through the use of Databricks for credit propensity modeling, highlighting the power of combining AI and Salesforce's robust data management capabilities.
Key Takeaways by Einstein:
• The bank successfully implemented over 60 AI use cases, resulting in improved customer service and significant revenue growth.
• Real-time data integration and actionability through Data Cloud and Marketing Cloud have drastically reduced lead times from three days to immediate action.
• The session emphasized the importance of compliance and trust, detailing how the bank navigated regulatory challenges with Salesforce's trust layer and audit trails.
With sessions and hands-on activities led by product experts, visionaries, and fellow Trailblazers, Dreamforce offers a deep dive into the latest in CRM + AI + Data + Trust.
Merlinda Lu
Salesforce Developer, IBM
We use cookies on our website to improve website performance, to analyze website usage and to tailor content and offers to your interests.
By clicking “Accept All Cookies”, you consent to us placing these cookies. By clicking “Do Not Accept”, you reject the usage of such cookies. We always place cookies that do not require consent, which are necessary for the website to work properly.
For more information about the different cookies we are using, read the Privacy Statement. To change your cookie settings and preferences, click the Cookie Consent Manager button.
Cookie Consent Manager
Cookie Consent Manager
General Information
Required Cookies
Functional Cookies
Advertising Cookies
General Information
We use three kinds of cookies on our websites: required, functional, and advertising. You can choose whether functional and advertising cookies apply. Click on the different cookie categories to find out more about each category and to change the default settings.
Privacy Statement
Required Cookies
Always Active
Required cookies are necessary for basic website functionality. Some examples include: session cookies needed to transmit the website, authentication cookies, and security cookies.
Functional Cookies
Functional cookies enhance functions, performance, and services on the website. Some examples include: cookies used to analyze site traffic, cookies used for market research, and cookies used to display advertising that is not directed to a particular individual.
Advertising Cookies
Advertising cookies track activity across websites in order to understand a viewer’s interests, and direct them specific marketing. Some examples include: cookies used for remarketing, or interest-based advertising.