Featured Research Projects
Studying Unstructured data to generate ML Models
Uncovering why & how a database should store and retrieve unstructured data, revealing key insights for the product team.
Enhancing CRM systems with AI
Creating an AI tool to increase productivity that assists in using complex tools with fragmented information .
Target Available Market Study
Survey to assess user saturation & growth potential of a data analytics tool.
Developing a 'No Code' Cohort Analysis tool
Studied ways to simplify cohort analysis, making it accessible & efficient for non-analysts.
Google's cross product experiences research .
Uncovering pain point users encounter while using multiple products to complete a task.
Helping launch Android widgets.
Creating new & improved widget designs that are functional for its users.
![[W.I.P] Multi Modal AI Experiences + Users Sentiment & its future](https://files.cdn-files-a.com/uploads/9718205/800_gi-68630b8509ca7.jpg)
[W.I.P] Multi Modal AI Experiences + Users Sentiment & its future
This article explores the advancements in multimodal artificial intelligence (AI) technologies, highlighting their ability to process and integrate various data forms, such as text, images, and audio. It examines users' perceptions and sentiments towards these AI systems, providing insights into their current impact and potential future developments. The discussion encompasses innovative applications and ethical considerations, offering a comprehensive understanding of the evolving relationship between multimodal AI and its users.