AI dubbing is an advanced technology that uses artificial intelligence to automatically translate audio or video content into multiple languages and generate natural-sounding voiceovers. It combines speech translation, text-to-speech voice synthesis, and timing-aware synchronization to deliver professional-quality multilingual content. Modern AI dubbing platforms offer additional features like voice cloning, lip-sync alignment, emotion and prosody control, multi-speaker handling, and real-time dubbing. These solutions enable fast video localization, global content distribution, and cost-effective production for media companies, e-learning platforms, marketing teams, podcasters, and enterprises seeking scalable multilingual communication.
Gartner defines cloud AI developer services (CAIDS) as cloud-hosted or containerized services and products that enable software developers who are not data science experts to use artificial intelligence (AI) models via APIs, software development kits (SDKs) or applications. Core capabilities include automated machine learning (autoML) including automated data preparation, automated feature engineering and automated model building, and model management and operationalization for language, vision and tabular use cases. Optional and important complementary capabilities include AI code models and assistants. Cloud AI developer services help organizations embed intelligence, such as AI and ML insights, into their applications. While that is what cloud AI developer services offer, it is more important to note how they accomplish this. These services democratize and increase the availability of AI and ML to software engineers through the automation and features offered. Traditional activities regarding data acquisition, data quality, feature engineering, algorithm selection and model training are augmented by the technology. Cloud AI developer services open up a world of possibilities for software engineers to build AI and ML production capabilities and features for enterprise-built applications.
Digital humans (also known as AI avatars or humanoid robots) are representations of people, typically rendered as digital avatars. Digital humans are designed to bring human-like interactions to the forefront of business and operating model innovations. They can interpret verbal speech, facial expressions, gestures, sentiments, images, video, audio and other forms of digital media. They can also respond with their own speech, tone and body language.
Generative AI (GenAI) apps use generative AI capabilities for user experience and task augmentation to accelerate and assist the completion of a user’s desired outcomes. Generative AI refers to technologies that can generate new derived versions of content, strategies, designs and methods by learning from large repositories of original source content. When embedded in the experience, generative AI offers richer contextualization for singular tasks such as generating and editing text, code, images and other multimodal output. As an emerging capability, process-aware generative AI agents can be prompted by users to accelerate workflows that tie multiple tasks together. Apart from helping save time and money, generative AI apps help improve branding of businesses by creating more engaging and effective content while also creating more engaging and immersive experiences for customers. Please note that this market is based on Beta research and is continuously evolving. We will be making changes as and when there are new updates.
Video editing software empowers users to edit, manipulate, and transform raw media files into professional videos by providing a comprehensive set of editing tools and features. The software offers a user-friendly interface for importing media files from different content sources and arranging them in a specific order and timing for precise editing. The techniques for precise editing include cutting, cropping, rotating, adjusting the color, adding transitions, applying effects, and enhancing audio quality. In addition, it saves all the edited videos into different formats and resolutions and shares them across different platforms. The usual users hail from the fields of entertainment, marketing, education, and corporate communications.
eLearning authoring tools are specialized software platforms designed to help educators, instructional designers, and organizations create digital learning content efficiently. These tools enable the development of interactive and multimedia-rich courses without requiring advanced programming skills. They are widely used in corporate training, academic institutions, and professional development programs to deliver scalable and accessible education. They are different from Digital learning content providers as they enable users to create custom learning content from scratch while content providers offer ready-made educational materials. These tools provide features like multimedia integration (videos, audio, animations), interactive elements (quizzes, simulations, branching), and templates and themes to streamline development and ensure visual consistency. Users can build engaging modules that include videos, quizzes, simulations, and assessments. Most authoring tools support industry standards like SCORM and xAPI, ensuring compatibility with Learning Management Systems (LMS) for tracking learner progress.