Salesforce introduced its AI layer, Einstein, in 2016. Recently, it announced the release of Einstein Studio, allowing customers to bring their own model into Data Cloud. This solution is aimed at companies with sophisticated data teams who want to put their existing models to work in other contexts. Salesforce is also working on partnerships with other platforms like Google Vertex AI and plans to support Databricks and Snowflake in the future. This move suggests that Salesforce is positioning itself as a data company.
Google has invested billions of dollars in various healthcare initiatives to tackle the challenges in the industry and improve healthcare through innovations such as Care Studio and Healthcare Data Engine, with a focus on addressing the needs of patients, providers, and enterprises.
GA4 in Google Analytics utilizes AI-powered features like automated insights, custom insights, and personalized recommendations to guide better marketing decisions, providing marketers with a sophisticated AI toolkit to uncover growth opportunities.
Google has launched AlloyDB AI, an integrated set of capabilities built into AlloyDB for PostgreSQL that allows developers to build generative AI apps using their own data, providing vector embeddings for AI search apps and faster query performance.
Google is aiming to increase its market share in the cloud industry by developing AI tools to compete with Microsoft and Amazon.
Nvidia and Google Cloud Platform are expanding their partnership to support the growth of AI and large language models, with Google now utilizing Nvidia's graphics processing units and gaining access to Nvidia's next-generation AI supercomputer.
Google is enhancing its artificial intelligence tools for business, solidifying its position as a leader in the industry.
Google and Salesforce have announced an expanded partnership that integrates data and context from Salesforce to Google Workspace in an open platform, intensifying the competition with Microsoft in the artificial intelligence (AI) space.
Google Cloud has expanded its BigQuery repository to include data on 11 new blockchains, making it more accessible for developers to access and understand the blockchain ecosystem.
