Google, Salesforce, and Microsoft Enterprise productivity can be transformed with generative AI integrations

News Summary:

  • And on March 16, Microsoft announced Office 365 Copilot, adding OpenAI’s GPT-4 language technology to its productivity apps, including Word, Excel, PowerPoint, and Teams. It integrates large language models with data in the Microsoft Graph, including calendar, email, chat, document, and meeting information. All Office 365 apps will include the AI-powered Business Chat engine.

  • Big tech is evolving rapidly as it adds generalized AI capabilities to mainstream enterprise applications. Last week, Salesforce announced that it would add ChatGPT to the Einstein AI tool for CRM and introduce ChatGPT to Slack. On March 6, Microsoft revealed that it has added generic AI capabilities to its Power Platform low-code development tool and introduced next-generation AI by launching Microsoft Dynamics 365 Copilot.

“Copilot combines the power of big language models with your data and apps to turn your speech into the most powerful productivity tool on the planet,” said Jared Spataro, vice president of public applications. Microsoft’s modern corporate work and applications, said in a press release.

Nadella said AI capabilities were previously used on autopilot. “With this new generation of AI, we are moving from autonomous driving to co-piloting,” said Nadella. Not to be outdone, on March 14, Google announced that it would be adding generalized AI capabilities to its Workspace platform, including Search, Maps, Gmail, and Docs. This will allow a select number of prototype testers to try out the AI ​​writing features in Docs and Gmail. Next, Google will roll out this tool more widely to consumers and businesses.

Using natural language, AI will “completely transform the way computers help us think, plan, and act,” said Microsoft President and CEO Satya Nadella at “L’ Future of the World.” Work: Reinventing Productivity with AI’ March 16. He called the launch of Office 365 Copilot “the beginning of a new computing era.”

“From our deep experience in AI and productivity, we know that building features with AI requires extreme care, thoughtful testing, and iteratives based on user feedback. users,” Johanna Voolich Wright, VP of Product at Google Workspace, in a blog post. “We do all of this while creating safeguards against abuse, protecting the privacy of user data, and respecting our customers’ control over data governance.”