Open Source & AI: Shaping the Future
Varun Pandya, CTO – Weamai
"Collaborative Innovation for the AI Era"
About Me
Chief Technology Officer
At Weam.ai, I leads the technological vision and strategy, driving the company's innovation forward.
Tech Solutions Builder
With a versatile background in both service and product domains, I focuses on building and scaling technology solutions that address real business challenges.
Innovation Driver
Passionate about fostering innovation, cultivating high-performing teams, and translating complex ideas into impactful products across diverse industries.
Agenda
What is Open Source & Why it matters
Evolution of AI
How Open Source drives AI innovation
Benefits & Challenges
Case Studies & Ecosystem
Trending GitHub Projects
Open Source in a Nutshell
63%
Companies using OSS AI
Organizations leveraging open-source AI technologies in 2024
96%
Developer adoption
Developers actively using open-source software components
$84B
Market projection
Open-source services market value by 2030 (~17% CAGR)
80%
Cloud infrastructure
Cloud systems running on open-source software foundations
Iconic Open Source Projects
Linux
Apache
Kubernetes
WordPress
Sources: Stack Overflow Developer Survey 2024, McKinsey Global Survey 2024
AI in a Nutshell
78%
AI business adoption
Organizations using AI in at least one business function
71%
Generative AI usage
Organizations actively adopting generative AI technologies
AI Market Growth Trajectory
The AI market is experiencing unprecedented expansion: $233B in 2024 projected to reach $1.77T by 2032, representing a robust 29% compound annual growth rate.
Key AI Use Cases
Healthcare
Finance
Marketing
Education
Logistics
Sources: McKinsey Global Survey 2024, Gartner AI Market Forecast 2024
Why Open Source + AI?
Open Source + AI: Better Together
Open Source
AI
Networked AI
Innovation & Scale
Puts Advanced AI in the hands of the broader community
Transparency builds trust in models & decisions
Community pace → faster innovation cycles
Lower implementation costs vs proprietary alternatives
Global access → diverse contributions & rapid iteration
Open Source AI Ecosystem
Frameworks
PyTorch, TensorFlow
Communities
Hugging Face, LangChain
Models
LLaMA, Qwen, Deepseek
Databases/Tools
Qdrant, Weaviate, Haystack
UI & Apps
Gradio, ComfyUI
Trending Open Source AI Projects
Real-Voice Cloning
These tools let you create a believable copy of someone’s voice from a short sample. Real‑Time Voice Cloning uses a three‑step process to learn a speaker’s sound and then convert text into speech Project Link: https://github.com/CorentinJ/Real-Time-Voice-Cloning
Perplexcia
This open‑source search engine combines results from many sources and uses AI to understand your question and find up‑to‑date answers. �Project Link: https://github.com/ItzCrazyKns/Perplexica
AutoAgent
This framework lets you build powerful language‑model agents without writing code. �Project Link: https://github.com/HKUDS/AutoAgent
N8n-Workflows
This is a huge collection of ready‑made automation templates for the n8n platform�over 2,000 workflows �Project Link: https://github.com/Zie619/n8n-workflows
RAG -Anything
RAG‑Anything is an open‑source toolkit that lets you upload a document—whether it’s a PDF, slide deck, spreadsheet or even images and equations—and ask questions about it.�Project Link: https://github.com/HKUDS/RAG-Anything
Source: GitHub trends and AI community activity as of 2024
Benefits of Open Source AI
Flexibility & Customization
Complete control without vendor lock-in constraints
Cost Efficiency
Reduces infrastructure and tooling costs by 30–50%
Enhanced Security
Transparency and community code review strengthen protection
Rapid Deployment
Faster prototyping and deployment for quicker time-to-market
Client Trust
Builds confidence through auditability and control
Key Value Drivers
Source: Industry analysis of enterprise OSS adoption, 2024
Challenges of Open Source AI
1
Security & Compliance
Organizations struggle with governance frameworks and regulatory compliance in open-source environments
2
Long-term Support
Uncertainty around maintenance commitments and project sustainability over time
3
Licensing Complexity
Navigating diverse license types: Apache, GPL, Elastic 2.0, and custom licensing models
4
Ethical Risks
Potential misuse of powerful open models without proper safeguards and oversight
5
Project Sustainability
Funding and stewardship challenges for critical open-source AI infrastructure
Sources: Open Source Security Foundation, Linux Foundation, MITRE AI Risk Framework
Case Studies / Ecosystem Impact
Hugging Face
200K+ models, standardized sharing
Meta LLaMA
Open weights → 1,000+ research projects
Stable Diffusion
10M+ downloads in <1 year
LangChain
100K projects in <2 years
Copilot Studies
+6.5% productivity uplift in OSS teams
Industry Impact
Driving Transformation Across Key Sectors
Agencies & Startups
Achieve 40% faster prototyping cycles with OSS AI stacks.
Enterprises
Realize significant TCO reductions through self-hosted open models.
Developers
Gain democratized access, accelerating global innovation and skill development.
Education & Research
Enable large-scale experimentation at affordable costs.
Sources: McKinsey Global Survey 2024, Stack Overflow Developer Survey 2024
Thank You!
Let's shape the future of Open Source & AI together
varun@weam.ai
linkedin.com/in/varun-pandya-1676a0103
Collaborative Innovation for the AI Era