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The ability to apply a managed configuration to Gbaord has disappeared. We think this is due to a recent change to the Gboard app where Google has removed this ability!!!!  Environment:MDM = Omnissa Workspace One UEM (we are also hearing reports of this impacting SOTI customers as well) Rugged Zebra Mobile devices, majority running either A11 or A13Leads:Managed App configs are still present on Chrome & ServiceNow Now Agent, hence why we believe this is not an MDM Console issue. We have escalated to Omnissa support anyway, who have in turn escalated to Google.Is anyone else seeing this issue?

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The Benchmarking tab in GenAI Lens provides you with instant access to how your brand, products, or topics compare to competitors across key visibility metrics in the world of large language models (LLMs)!!!This article will cover: Accessing the Benchmarking Tab in GenAI Lens Metric Definitions    Accessing the Benchmarking Tab in GenAI Lens Similar to our other tabs, the data in the Benchmarking tab will begin to populate once prompt creation is completed. Within this tab, we utilize the entities gathered from the LLM responses and compile them into heat maps and ranking widgets. Just like our tabs, we provide AI Insights at the top of the page to summarize the data below.  Click the Monitor drop-down in the left-hand navigation Click GenAI Lens Select Benchmarking in the top toolbar  In any of the below graphs, click the Chart Type drop-down and select between Pie Chart Bar Chart Table  Note: Most of the heat map data is provided on a scale from 0 - 100. When using Total Mentions f

See if this works for the topic_location variable

See if topic_location variable works

Hello, We are now soft-launching support for the Model Context Protocol (MCP) within the Android Management API (AMAPI). While this is a “behind-the-scenes” infrastructure update, it is the critical first step toward a new way of managing devices. By exposing AMAPI via MCP, we are providing the standardised building blocks that will allow EMM providers to eventually build high-quality, conversational AI assistants.The Engine Under the Hood: Why MCP MattersThink of MCP as a universal translator.. It allows AI agents (like the ones powering smart chatbots) to securely “read” and understand the technical data from your fleet - like device policies, battery stats, and security logs. By standardising how AI interacts with Android device data, we’re making it faster and easier for EMMs to evolve their dashboards, toward a conversational, intent-based model.The Shift: From “Point-and-Click” to “Just Ask”What does this look like in practice? Imagine it’s 4:55 PM on a Friday, you get an urgent

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Test 23 

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