Salesforce Weekly Digest (Week 1 Aug'23)
A recap of articles I noticed in the Salesforce universe in the past seven days
Can ChatGPT Replace a Salesforce Architect?
https://www.salesforceben.com/can-chatgpt-replace-a-salesforce-architect/
Talks about the architect role and how it compares to ChatGPT-based Architect. This post has an interesting set of prompts and how one needs more context and a human touch to deal with enterprise problems; things are not always black and white.
How To Increase Productivity & Collaboration with Slack
This video 1st of all is fun to watch 🥳, and keep your engaged instead of just throwing content without a feel. Here are some key points I liked:
Slack Swarming? aka Intelligent Swarming, brings the entire support team together in Slack to help solve customers' complex problems.
Non-technical users can build 80% of workflows in Slack, simplifying tasks.
Slack can automate routine tasks and streamline support services, useful for IT professionals.
Create custom emojis and trigger workflows within Slack, allowing for personalised and efficient communication.
ElementsGPT - AI based user story and recommendations generation
Continue learning via article by Ian Gotts here - https://www.apexhours.com/how-gpt-could-change-salesforce-careers/
Salesforce Launches Starter Suite, Simplifying CRM for Small Businesses
On 2nd Aug’23 Salesforce announced general availability of Starter, priced at 25 USD/User/Month.
Starter includes the essential features that small businesses need to manage their customers, such as contact management, lead generation, and sales forecasting.
Starter also integrates with popular productivity tools, such as Gmail and Slack.
For Marketing its very amazing to see Email Campaigns, Segmentation and Journey builder in place (very powerful).
It also has in-app guidance, which could be very handy for newbies.
Learn more : https://www.salesforce.com/news/stories/starter-small-business/
Amazon SageMaker and Salesforce Data Cloud integration
This is the second post in a series discussing the integration of Salesforce Data Cloud and Amazon SageMaker.
Part 1 demonstrated how the Salesforce Data Cloud and Einstein Studio integration with SageMaker allows businesses to securely access their Salesforce data.
SageMaker's tools can be used to build, train, and deploy models to its hosted endpoints.
These endpoints are then registered to the Salesforce Data Cloud, enabling predictions to be activated within Salesforce.
The current post expands on this topic, demonstrating how to use Einstein Studio for product recommendations.
The integration can be used for traditional models as well as large language models (LLMs).
Everything Salesforce Einstein
This PDF by and hosted on Salesforce.com, offers a very pricing and readiness for everything Einstein, a very important document to bookmark.
