
Endpoint Central is a unified endpoint management and security platform that helps IT teams manage and secure devices across the organization from a single console. It consolidates functions typically handled by separate tools, covering the full device lifecycle across Windows, macOS, Linux, iOS, Android, and Chrome OS.
Patch Management
Patch deployment is automated across operating systems and 1000+ third-party applications. IT teams define deployment policies, test patches before rollout, schedule updates within maintenance windows, and track compliance across the device fleet.
Remote Desktop and Troubleshooting
Built-in remote desktop tools allow technicians to connect to endpoints instantly without third-party software, diagnosing issues and resolving problems in real time for distributed and remote workforces.
Software Deployment and Asset Management
Applications are deployed, updated, or removed across thousands of endpoints simultaneously. Continuously updated hardware and software inventory supports license compliance, capacity planning, and audit preparation.
Mobile Device Management
Integrated MDM capabilities cover iOS and Android devices. IT teams enroll devices, push configuration profiles, distribute applications, enforce security policies, and perform remote wipe. Both corporate-owned and BYOD environments are supported.
OS Imaging and Provisioning
OS imaging workflows allow IT teams to build and deploy standardized system images, provisioning new devices quickly with uniform configurations across the organization.
Endpoint Security
Security capabilities include vulnerability assessment, application control, device control, endpoint privilege management, and browser security. BitLocker and FileVault encryption managemen
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An API powered by Google's AI technology allows you to accurately convert speech into text. You can accurately caption your content, provide a better user experience with products using voice commands, and gain insight from customer interactions to improve your service. Google's deep learning neural network algorithms are the most advanced in automatic speech recognition (ASR). Speech-to-Text allows for experimentation, creation, management, and customization of custom resources. You can deploy speech recognition wherever you need it, whether it's in the cloud using the API or on-premises using Speech-to-Text O-Prem. You can customize speech recognition to translate domain-specific terms or rare words. Automated conversion of spoken numbers into addresses, years and currencies. Our user interface makes it easy to experiment with your speech audio.
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Unmixr
Unmixr is an advanced platform driven by AI that provides a comprehensive collection of tools aimed at improving content creation and communication. Its text-to-speech capability features more than 1,300 lifelike voices in 104 languages, allowing users to convert text of up to 200,000 characters into spoken words in one go. The platform's speech-to-text option ensures precise transcriptions of audio and video content, incorporating speaker identification and timestamps for better clarity. For users needing multilingual support, Unmixr's Dubbing Studio simplifies the process of translating and dubbing audio and video into over 100 languages through an efficient workflow that includes transcription, translation, and dubbing. Additionally, the AI chatbot harnesses various models, such as GPT-4o, Claude-3.5, Gemini Pro, and LLaMa-3.1, enabling users to participate in interactive dialogues and access documents like PDFs and web pages. Furthermore, Unmixr features an AI-driven image generator that creates stunning visuals from textual descriptions, accommodating a range of artistic styles to suit different needs. This combination of features positions Unmixr as a versatile tool for creators and communicators alike.
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Voxtral Transcribe 2
Mistral AI has introduced Voxtral Transcribe 2, an advanced suite of speech-to-text models that provides remarkably fast, high-quality audio transcription and speaker identification, supporting a diverse range of languages. This collection features Voxtral Mini Transcribe V2, which is tailored for batch transcription and includes functionalities like word-level timestamps, context biasing, and compatibility with 13 different languages, alongside Voxtral Realtime, which is optimized for live speech recognition with adjustable latency that can drop below 200 ms for immediate use cases. Both models excel in transcription accuracy while maintaining efficiency and cost-effectiveness; Mini Transcribe V2 is noted for its exceptional performance and minimal error rates, while Realtime is made available as open-source under the Apache 2.0 license, enabling developers to implement it on edge devices or within secure environments. Furthermore, the innovative technology embedded in these models represents a significant leap forward in transcription solutions, catering to various applications across industries.
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