Results for tag: "Generative AI In Analytics"

Generative AI in Analytics refers to the subset of artificial intelligence focusing on the design, development, and application of algorithms and models capable of generating new data similar to but not identical to the data on which they were trained. It encompasses techniques in generative modeling such as Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and others that are particularly adept at tasks like data augmentation, anomaly detection, and the creation of synthetic datasets for training other AI models. The market for Generative AI in Analytics is therefore concerned with the provision of tools, platforms, and services that enable companies to enhance their data analysis capabilities, innovate in creating data-driven solutions, and optimize decision-making processes through the use of synthetically generated insights. In the contemporary market, some notable companies that are offering Generative AI in Analytics include OpenAI, known for its cutting-edge research and generative models; Hugging Face, which provides a platform for building, training, and deploying AI models; NVIDIA, with its deep learning and AI platforms; DataRobot, which offers an automated machine learning platform integrating generative model techniques; and DeepMind Technologies, specializing in AI for various applications including data analytics. These organizations are representative of the vibrant ecosystem developing around Generative AI as it becomes more integral to analytics across industries. Show Less Read more