Data science challenges in extracting value from image and video based data

Combining different AI technologies, such as LLMs, embedding models, and a database like ApertureDB that is purpose-built for multimodal AI, can significantly enhance the ability to retrieve and generate relevant content.

Visual data or image/video data is growing fast. ApertureDB is a unique database...

CV/ML users need to find, analyze, pre-process as needed; and to visualize their images and videos along with any metadata easily...

Multimodal AI can boost retail sales by enabling better user experience at lower cost but needs the right infrastructure...

Multimodal AI, vector databases, large language models (LLMs)...

With extensive data systems needed for modern applications, costs...

Working with visual data (images, videos) and its metadata is no picnic...

Recently, data engineering and management has grown difficult for companies building modern applications...

ApertureDB is a database for visual data such as images, videos, embeddings and associated metadata like annotations, purpose-built for...

Multimodal AI, vector databases, large language models (LLMs)...

AI presents a new and unparalleled transformational opportunity for the life sciences sector...

The data landscape has dramatically changed in the last two decades...

We asked our chatbot questions like "Can ApertureDB store pdfs?" and the answer it gave..

Getting started with ApertureDB has never been easier or safer...

ApertureDB vector search and classification functionality is offered as part of our unified API defined to...

From worker safety to detecting product defects to overall quality control, industrial and visual inspection plays a crucial role...

A key to solving Visual AI challenges is to bring together the key learnings of...