​Data Systems for AI: Multimodal Madness

​Why traditional data tools fall short in the AI era

​While traditional tools excel at structured tabular data, they crumble when faced with today’s multimodal workloads that span images, videos, embeddings, documents, and complex structures. According to Google Cloud’s 2024 Data and AI Trends report, 66% of organizations report that at least half of their enterprise data remains unused. Why? Because existing infrastructure was not built for this multimodal reality.

​Do you…

• ​Struggle with multimodal ETL pipelines that span structured and unstructured data?

• ​Want to eliminate the complexity of managing separate tools for different data types?

• ​Need to scale beyond what traditional distributed computing frameworks can handle?

• ​Want to build AI/ML infra for computer vision, NLP, multimodal, or agentic AI applications?

​If you answered yes to any of these questions, then this meetup is for you!

​Join us for an exclusive panel featuring industry leaders who are tackling these challenges head-on with next-generation data infrastructure. This isn’t just another database meetup – it’s a blueprint for the future of data engineering and analytics in the age of multimodal AI.

​Agenda:

• ​Run Models on Data - Jay Chia, Co-Founder @ Daft

• ​Foundational Data Layer for the AI Era - Vishakha Gupta, Co-Founder & CEO @ ApertureData

• ​Panel ft. industry leaders discussing the challenges and motivations of working with multimodal data and what it's trending towards, moderated by Devinder Sodhi

​Thank you to our esteemed panelists:

• ​Jay Chia, Co-Founder @ Daft

• ​Tim Romanski, Research Engineer @ Essential AI

• ​Vishakha Gupta, Founder & CEO @ ApertureData

• ​Vai Viswanathan, Lead Perception Engineer @ Voxel AI

​This meetup is sponsored by Daft & ApertureData!

​About Daft

​Daft is a high-performance data engine providing simple and reliable data processing for any modality and scale, from local to petabyte-scale distributed workloads. Solving the fundamental challenge of working with multimodal data at scale and powering the next generation of AI applications, we are eliminating the traditional barriers and redefining how developers interact with multimodal data.

​​​💬 Join Distributed Data Community Slack
​​📚 Check out Daft Engineering Blog
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​​💜 We’re hiring, join our team

​About ApertureData

​ApertureData is the company behind ApertureDB—the database built for the multimodal AI era. ApertureDB unifies text, images, audio, video, embeddings, and metadata in one place. Its vector + graph architecture powers storage, relationships, and search, while ready-to-use workflows simplify multimodal data management tasks including ingestion, RAG chatbot deployment, and PDF embeddings—helping AI teams move quickly from experimentation to production at scale.

✍️ Sign Up for a Free ApertureDB Trial
​​💬 Join ApertureDB Slack Community
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📚 Explore ApertureDB Docs & Blogs
🎯 Subscribe To ApertureData YouTube