REPLAY | Co-hosted by Salesforce Ben
An Architect's Guide to Salesforce Data Cloud & AI
THE IMPORTANCE OF GOOD QUALITY DATA
With the emergence of Data Cloud and AI, there’s no doubt that we’re working in a data-driven era. So how are you preparing to utilize these new tools?
Watch this recorded webinar - co-hosted with Salesforce Ben - covering the topics of Data Quality, Salesforce AI, Data Cloud and announcing our new AI-driven assistant Diana!
During this session:
- Discover the pitfalls of poor data quality, from inefficiencies to financial strains. We will discuss actionable strategies to transform bad data into a reliable asset, emphasizing the ongoing journey towards maintaining data quality.
- We question the reliability of AI results if the input data isn't complete and accurate— echoing the GIGO principle.
- We discuss the importance of cleaning your external data to ensure Data Cloud success.
Agenda
Understanding the crucial role of High-Quality Data
- The value of quality data and how it impacts your entire business
- Introducing DQE (Data Quality Everywhere) and DQE One
Unleashing the power of AI in Salesforce
- Why does Salesforce AI need good data?
- Ensuring a Single Customer View (SCV) and reachable contact information for AI success
- An exclusive demo of DIANA, the first Intelligent Assistant to simplify the setup of deduplication in Salesforce
Unlocking the value of Salesforce Data Cloud
- Elevating Data Cloud capabilities with enhanced data quality
- How DQE can pre-clean your external data within Salesforce Data Cloud
- Demo: Seamless integration with Data Cloud
Q&A: Engage with the Experts
Speakers
Ian Ayling
Data Quality Expert, DQE
Maurice Higgins
Principal Solution Consultant, DQE
Eric Dreshfield
Salesforce MVP Hall of Fame