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Focuses on the conversion rates and global trust. Turn cold leads into confirmed bookings. Whether it’s English, Hindi, or 11+ languages, AutoNgage handles it all. See it live at #NADAShow# Booth 7450N #AutomotiveAI# #DaveAI# #NADA2026# #Growth#
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DaveAI is unveiling Autobot - an AI Agent kit built for automotive dealerships right here at GITEX GLOBAL 2025! #GITEXGLOBAL# #AutomotiveAI# #AutoDealerships# @GITEX_GLOBAL If you haven’t seen it yet, Visit us - We're here today & tomorrow!
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From ADAS to immersive digital cockpits, Micron memory and storage are where #automotive# AI comes alive on the road. We don’t just power #AI#. Micron is AI in your drive. #IntelligenceAccelerated#
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Our CEO Sriram P H breaks down how AutoNgage uses intelligent channel routing to outperform the competition. Want to discuss the future of dealerships? 👋 Stop by Booth 7450N #NADAShow# to say hello! Book Demo : #Leadership# #AutomotiveInnovation# #DaveAI#
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These 10 must-know AI stats reveal how dealerships and OEMs are leveraging AI to boost sales, improve customer satisfaction, reduce costs, and stay competitive in a rapidly evolving market. #Automotive# #AI# #AutoTech#
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The DaveAI Conversational Cloud acts as a central hub that connects every interaction a customer has with your brand across digital and physical touchpoints. #Automotive# #AI#
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$CRNC vs. $SOUN: Why I find Cerence AI the more interesting long-term opportunity. My case for @CerenceInc starts with its existing customer relationships and the opportunity to sell more advanced AI into an industry it already knows extremely well. Cerence reports that more than 525 million vehicles have shipped with its technology and that it serves over 80 automakers and Tier 1 suppliers. Its customer and partner network includes Volkswagen, Mercedes-Benz, $TM, $F, $GM, BYD and Geely. That represents years of integration work and commercial relationships with some of the largest automotive businesses in the world. Those historical shipments are not 525 million paying AI subscribers. But they demonstrate something valuable: Cerence has experience delivering software at automotive scale, and established relationships through which it can introduce its next generation of products. The opportunity is to turn those relationships into broader adoption of xUI, its conversational and agentic AI platform. And the companies involved deserve a closer look. $NVDA and $MSFT have concrete roles in the technology. Cerence uses NVIDIA AI Enterprise, NeMo and NIM alongside Microsoft Azure to develop and deploy its automotive AI models. In January, Cerence announced that multiple global automakers had selected this platform for vehicles launching in 2026. For me, the significance is the connection between the technology partnership and actual customer selections. BYD expanded its longstanding relationship with Cerence to bring xUI into its international vehicle lineup, with the ATTO 2 DM-i named as the initial model. This gives Cerence exposure to a manufacturer actively expanding across global markets, where language support and localization become commercially important. Geely also selected xUI for its overseas vehicle experience. The announced capabilities include understanding multiple requests, controlling vehicle functions and interacting with elements displayed on the screen. These are practical reasons for an automaker to integrate the platform more deeply into its software. $STLA added another meaningful development: Cerence disclosed a new xUI award covering multiple brands in its latest results. For the quarter ended June 30, Cerence reported $69.6 million in revenue, $13.5 million in adjusted EBITDA and $19.6 million in free cash flow. Connected Services revenue grew more than 20%. Those figures support the argument that Cerence can fund product development while improving its financial position. There is an important qualification: the quarter included $12.5 million in fixed license revenue, versus none a year earlier. Headline growth therefore overstates the improvement in the underlying business. The new AI awards still need to produce sustained revenue. $SOUN deserves a fair comparison. Its June quarter revenue grew 45% to $61.9 million, substantially faster than Cerence, although it still reported a $9.6 million adjusted EBITDA loss. It also has broader exposure across enterprise services, healthcare and restaurants, alongside automotive customers. Stellantis and Hyundai expanded adoption of its technology, so automotive relationships should never be treated as exclusive to Cerence. What makes Cerence more compelling to me is the combination of established automotive distribution, new AI product wins and positive cash generation. I also see additional potential outside passenger vehicles. Its expanded partnership with Vivoka targets embedded voice AI in logistics and field services, with Voxware describing its use in warehouse workflows. I would treat this as an additional growth opportunity until it becomes financially material. My thesis is that $CRNC can earn more from its existing customer relationships as automakers adopt more capable AI assistants. If that produces durable growth and stronger earnings, it could give investors a reason to reassess the business. Execution remains the deciding factor. Automotive launches take time, customers negotiate hard, and large technology companies compete for the same business. Entry valuation also matters; partnerships alone cannot establish which stock offers the better return. But as a business opportunity, I prefer Cerence’s combination of established customers, improving products and cash generation. That is why $CRNC interests me more than $SOUN over the long term.
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Automotive Semiconductor Market Size, Share, Revenue, Trends And Drivers For 2023-2032 - EIN News
From automotive applications to cloud server...hyperscale data center deployments to AI systems...KIOXIA memory and storage solutions enable the success of emerging applications and allow existing technologies to reach their full potential. #GameChanger#
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