{"id":160719,"date":"2025-09-16T11:11:09","date_gmt":"2025-09-16T11:11:09","guid":{"rendered":"https:\/\/www.newsbeep.com\/us\/160719\/"},"modified":"2025-09-16T11:11:09","modified_gmt":"2025-09-16T11:11:09","slug":"outlook-teams-now-your-ms365-co-pilot","status":"publish","type":"post","link":"https:\/\/www.newsbeep.com\/us\/160719\/","title":{"rendered":"Outlook\/Teams Now Your (MS365) Co-Pilot"},"content":{"rendered":"

Agentic AI was a theme of the 2025 IAA Munich Auto Show. We covered a Qualcomm\/Google collab<\/a>, but we stopped by the CerenceAI booth to learn about some exclusive features of its AI agent product, which has been built in collaboration with Microsoft, leveraging that company\u2019s big enterprise Azure cloud service.<\/p>\n

Cerence: Early AI Pioneers<\/p>\n

Supplier CerenceAI was spun out of Nuance Communications<\/a>, an early speech-recognition company that has provided and supplied not only most automakers but also most of the Tier 1 suppliers as well. The end result is that its technology now resides in about half of all new vehicles. Artificial intelligence relies on \u201clarge language models.\u201d These are literally the basis of speech-to-text or voice control of anything, so CerenceAI is kind of a ground-floor player in this area with what has now evolved into its Conversational Large Language Model (CaLLM) AI agent.<\/p>\n

\"Cerence<\/a>An Evolving Landscape<\/p>\n

Speech recognition started out in a time when vehicle connectivity was less robust, so it endeavored to house all the necessary data and computing power onboard. Then, as connectivity improved and the industry demanded better speech recognition (requiring more data and computing power), these operations moved to the cloud. Now, as onboard computing power has become more affordable and connectivity and cloud services have improved, the industry is heading for a hybrid setup with as much onboard data and computing power as possible (referred to as \u201cedge computing\u201d), backed up by cloud connectivity.<\/p>\n

Model\/Service Agnostic<\/p>\n

CerenceAI\u2019s CaLLM product provides the \u201cspecial sauce\u201d software that allows any large language model to operate based on conversational inputs in multiple languages, accents, etc. The software can be applied to any large language model, CerenceAI\u2019s own or those of a third party. Similarly, it can run on whatever system-on-chip (SoC) an automaker prefers, connecting to any cloud service it chooses.<\/p>\n

\"Cerence<\/a>Microsoft as CoPilot<\/p>\n

Now as Agentic AI is becoming \u201ca thing,\u201d CerenceAI reckoned that what customers might value most was the ability to check their calendar and navigate to addresses associated with appointments, dictate quick replies to emails and chat messages, and join web meetings\u2014all while keeping hands on the wheel and eyes on the road. Since a huge number of said customers work for larger enterprises invested in the Microsoft suite of business products like Outlook and Teams, CerenceAI has collaborated with Microsoft for its in-vehicle agent.<\/p>\n

Azure Only<\/p>\n

Microsoft Azure is the cloud service that enables the file mirroring that allows you to close a Microsoft Word or Excel file on your computer, then use your phone or tablet and MS365 CoPilot to open the same document. Only \u201ctrusted devices\u201d on which MS365 has been logged on can access this information. CerenceAI is making it possible to entrust your car, while excluding operations or services that would be risky in a moving vehicle.<\/p>\n

Onboard Secretary\/Personal Assistant<\/p>\n

This system is designed to read emails or Teams chat messages aloud and allow dictation of replies. You can ask things like \u201cWhat\u2019s on my schedule today?\u201d Or, \u201cWhat have I missed over the last two hours?\u201d and it will catch you up. Obviously the visual component of Teams meetings, screen sharing, etc. is all forbidden, and you won\u2019t be building PowerPoint decks or manipulating Excel spreadsheets on the go, but this is a big step toward CerenceAI\u2019s stated goal of using AI to do more than just \u201cpush buttons.\u201d<\/p>\n

\"nio<\/a>Making Your Car Your PAL<\/p>\n

One neat demonstration involved the driver asking \u201cHey Cerence, do you know what it means to \u2018arrive in style\u2019?\u201d The system read back the typical Wikipedia type answer to this question, after which the driver said: \u201cHey Cerence, when I say \u2018I want to arrive in style,\u2019 I mean I\u2019d like to arrive with the windows down, sunroof open, and my favorite song playing.\u201d And from then on, that word sequence prompted those actions.<\/p>\n

Another distinction CerenceAI and others at IAA Munich 2025 stressed to make between AI agents and simple voice recognition is its ability to retain context and maintain an ongoing conversation. The AI agent retains the vehicles\u2019 various drivers\u2019 likes, dislikes, and habits, supporting them on every drive. This dovetails with the increasing personification of AI agents, giving them expressive faces that look at the speaker, blink their eyes, blush, dance to music, etc.<\/p>\n

New Revenue Opportunities<\/p>\n

Here\u2019s the real motivation. CerenceAI reckons that its MS365 integration offers a compelling service that has not been available to date, and hence would be valuable as a subscription service. On the slightly bleaker side, AI agents with personal connections to their drivers might be conveniently positioned to suggest they visit franchises with which the OEM may have co-branding or licensing agreements, or at least report when the vehicle has navigated them to it, in order to drive a revenue share\u2014with or without the customer\u2019s knowledge.<\/p>\n

Bottom Line:<\/p>\n

Your next new car is likely to try harder to be your pal than your last one. It is also likely to make your life easier in a lot of ways, and it\u2019s almost sure to offer you new services you\u2019ll eagerly pay for. Just know that you\u2019ll never be able to know for certain that it didn\u2019t have ulterior motives.<\/p>\n

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