Salesforce, Inc. came out with an artificial intelligence called Einstein in 2016.
The AI was embedded into Salesforce platforms. It allowed its teams to create predictive results using AI across its products in compliance with the company’s security and privacy protocols.
This year, Salesforce stepped up its game with Einstein Copilot, an AI assistant built into every Salesforce application that can make workflow more efficient by allowing users to ask questions and receive answers or recommendations.
For more customization, Einstein Copilot Studio allows companies to build new AI-powered apps with custom prompts, skills and models.
The prompt builder will enable companies to develop and test generative AI prompts in a lowcode manner.
In contrast, the skills builder allows them to train the AI to do tasks, such as preparing for a meeting by conducting a market analysis.
The model builder allows companies to use prebuilt models or integrate existing ones for training and implementation.
This tool can increase productivity by freeing up 30% of employees’ time by assisting them with their work and providing recommendations and follow-up tasks. Tasks that could be automated include writing emails, summarizing cases, customizing an online storefront and creating data visualizations.
Instead of having to search or ask how to do some of these tasks, such employees could speak directly with the AI assistant to find what they’re looking for and have mundane tasks quickly completed for them. These AI assistants can be used in various work including marketing, sales and software development.
One concern over Einstein Copilot or any AI tool is its reliability. There’s a challenge in ensuring that the AI assistant doesn’t ‘hallucinate’ or make up information.
By grounding it in its proprietary data cloud, Salesforce claims malfunctions are highly unlikely since it has been trained on a large data set.
There are questions about what kinds of jobs this tool can replace, especially since Einstein Copilot was made to assist industry professionals. Two such examples are college and financial advisors.
It can assist college advisors by mapping a student’s interests and skills to recommend courses or analyze a client’s spending and saving habits to provide tailored financial advice for a financial analyst.
Salesforce’s CEO of AI, Clara Shih, speculates that this advancement will allow for the creation of more jobs. Shih anticipates that jobs such as prompt engineers to properly train chatbots will be created.
“Copilot is a conversational AI assistant for both companies and employees to securely and safely access generative AI to do their jobs better, faster and more easily,” Shih said during a recent press call. “It’s going to be available to every Salesforce user across every cloud.”
However, like any technological advancement, the true implications of Einstein Copilot will only become clear upon usage.
