AI avatars are digital character designed to mimic human-like qualities created through computer-generated imagery (CGI) and various AI technologies such as, natural language processing (NLP), synthetic voice generation, computer vision, and emotion AI. They can represent real people, digital beings, or objects, often used for branding or interactive purposes. What sets these AI avatars apart is their ability to have personalized interactions with users based on their behavior, preferences, and past history. Additionally, they have multilingual capabilities, making them accessible and user-friendly to a global audience. These avatars are commonly used in virtual reality, video games, online forums, and as virtual assistants.
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.
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.