Salesforce News Roundup: March ‘24

Posted on March 20, 2024  (Last modified on December 10, 2024) • 4 min read • 688 words

March isn’t over yet (in fact tomorrow marks the kick-off of March Madness), but our reading lists are already packed with interesting and informative articles from around the world of Salesforce!

March isn’t over yet (in fact tomorrow marks the kick-off of March Madness), but our reading lists are already packed with interesting and informative articles from around the world of Salesforce! In today’s post we’re going to highlight some of this month’s Salesforce articles that are just too good to “spring” past. Let’s dive in!

The Data Cloud Spring ’24 Release  

First up, we dive into the Data Cloud Spring ’24 Release, which introduces new features aimed at enhancing the usability of data across Salesforce’s CRM applications and platform services. Notable features include Data Cloud Related Lists and Data Cloud Triggered Flows, enabling users to access customer engagement data and automate processes seamlessly. By leveraging Salesforce’s metadata layer, Data Cloud connects data from various sources, facilitating its integration into everyday applications and workflows, including AI-driven services such as Einstein AI.

Read the Full Article right here!

TrailblazerDX ’24 Developer Recap  

Next we get a a comprehensive recap of TrailblazerDX ’24, Salesforce’s annual event aimed at developers, admins, and architects. This year’s event focused on showcasing the latest innovations in generative AI on the Salesforce Platform through hands-on workshops, demos, and technical sessions. Key highlights include the launch of new developer products such as Einstein 1 Studio, Data Cloud Vector Database (in pilot), and AI-powered developer tooling on Einstein for Developers.

Einstein 1 Studio, the centerpiece of the event, offers developers a unified platform for integrating customer data and generative AI in a security-first environment. Features like Prompt Builder, Copilot Builder, and Model Builder empower developers to build AI-enhanced applications and workflows effortlessly. Additionally, the article discusses the introduction of Data Cloud Vector Database, enabling businesses to leverage structured and unstructured data sources for AI, automation, analytics, and application development. The article also covers enhancements to Einstein for Developers, including inline autocomplete, test generation, and natural language to code capabilities, aimed at improving developers’ coding experience and productivity. TrailblazerDX ’24 attendees were provided with hands-on learning sessions, demos, and workshops, with access to comprehensive trailmixes covering various topics ranging from AI innovations to platform best practices. Overall, the article serves as a valuable resource for developers interested in exploring the latest advancements in AI and developer tools on the Salesforce Platform. Read the full article here for more (and some extra links on continuing your professional AI development).

3 Ways to Get the Most Out of the Trailblazer Community  

Next up, we get a write-up that offers valuable insights on maximizing your experience within the Trailblazer Community, emphasizing the importance of community engagement in problem-solving and skill-building.

It highlights three key strategies for leveraging the Trailblazer Community effectively: getting acquainted with the community, joining community groups, and actively participating in discussions. By engaging with diverse topics and groups, you can tap into a wealth of knowledge and expertise tailored to your interests and needs, ultimately enhancing productivity and fostering innovation. Additionally, connecting with community and product experts, such as Salesforce MVPs and Answer Leaders, further enriches the Trailblazer Community experience, providing valuable insights and assistance across various platforms! Give it a read and then put those principles into practice!

AI News and Updates  

And there’s no shortage of informative AI development posts in March! You can get caught up on how retrieval augmented generation (RAG), can help boost your generative AI work!

Learn how to bring your LLM-of-choice into Salesforce with the Einstein 1 Studio!

See how Einstein Copilot custom actions allows developers to build conversational AI assistant apps without needing multiple tools for agent orchestration.

And discover the power of Model Builder, an AI platform that enables teams to build, train, and deploy AI models using external platforms and data in Data Cloud!

Conclusion  

There’s so much to read, learn, discover, and add to your arsenal of Salesforce knowledge — and there’s still a week and a half to go in March! And, if we missed an article that you loved this month, let us know in the comments so we can add it to the list! Until next time, keep working hard, smart, and happy! And we’ll see you in the cloud.