Salesforce delivers solid Q3, focuses on operating margins
Salesforce CEO Marc Benioff said the company is "bringing CRM, data, AI and trust together in a single, integrated platform."
Salesforce CEO Marc Benioff said the company is "bringing CRM, data, AI and trust together in a single, integrated platform."
Salesforce will support Amazon Bedrock, AWS' managed service for foundational models with one API. Amazon Bedrock will also be available through Salesforce's Einstein Trust Layer.
Salesforce launched a rebuilt Data Cloud and Einstein 1 Platform that is now native to a unified metadata framework to go along with a series of product updates designed to make generative AI easier to implement.
The big picture here is that Salesforce will double down on Data Cloud, which will be an integration point between various clouds.
In July, Salesforce said it would raise list prices across its clouds by about 9%. Those price increases started in August and will be reflected in the third quarter.
Every Enterprise and Brand Is Focused On Revenue Growth While Trying To Achieve Operational Efficiency
There has never been a greater focus on revenue, however, Chief Revenue Officers (CROs) face a dual mandate. On one hand, they must continue to find growth and revenue, on the other hand, leaders must balance operational efficiency and reduced budgets. Constellation's recent CXO Business Confidence Survey highlights how all CXO's face this dual mandate over the next 18 to 24 months.
Salesforce's Einstein Studio, which is generally available, can use custom LLMs along with Einstein GPT's LLMs and remove the need for Extract Transform and Load (ETL).
The primary argument for the price increase is that Salesforce has been rolling out new innovations around generative AI. Recent headlines include the launch of AI Cloud, Einstein GPT, Sales and Service GPT as well as other updates.
Salesforce is steadily rolling out generative AI capabilities across its portfolio. Sales GPT and Service GPT will be available later this year.
Salesforce is looking to allay enterprise concerns about generative AI by connecting it to business outcomes and return on investment.