The article discusses the emergence of AI agents in enterprise IT, highlighting Orby's development of Large Action Models (LAMs) designed for automating complex workflows. These models, unlike traditional LLMs, process actions such as application interactions and automate tasks in enterprise environments like Salesforce and SAP. The concept of 'traces,' sequences of actions for specific tasks, is used to fine-tune LAMs, and Orby's AI agent software stack allows for customization and scaling by technical personnel.
Grammarly has introduced new ROI tools to measure the impact of AI in communication, addressing a key challenge in quantifying AI's value for organizations. These tools include the Effective Communication Score and ROI Report, which measure communication correctness, efficiency, brand compliance, and inclusivity, offering customizable insights tied to business outcomes. Databricks' case study exemplifies the tools' potential, showing significant time and cost savings, including $1.4 million annually, by integrating Grammarly across multiple teams, highlighting the tangible benefits of Grammarly's AI-driven communication improvements.
An article discussing the rise in interest among enterprises to build their own large language models (LLMs) using publicly available models as a starting point. The article discusses the challenges and benefits of this approach, as well as the need for enterprises to prepare for the integration of AI into their businesses.
