Shape the future of data-driven intelligence

14th International Conference on Big Data & AI (2026)

Premier platform for researchers, academics, and industry professionals

Showcase your latest findings, share practical experiences, and discuss emerging trends in big data and AI. Join leading academics, researchers, and industry professionals for three days of keynotes, workshops, and collaboration.

📅 Dates: June XX 2026 — June XX 2026
📍 Location: BITS Pilani, Goa Campus, India
 
 
 
// Big Data & AI: From petabytes to insights
const pipeline = createPipeline()
.source('distributed-storage')
.ingest(['stream','batch'])
.train({model:'foundation + fine-tune', privacy:'differential'})
.serve({latency:'<100ms', autoscale:true})
.monitor({drift:true, bias_audit:true})
.iterate();

console.log('BDA 2026 — build responsibly, scale confidently');

About BITS Pilani

BITS Pilani, an Institute of Eminence with campuses in Pilani, Goa, Hyderabad, Mumbai, and Dubai, accommodates over 18,500 students and more than 930 faculty members. It is renowned for its research-driven education, innovative ecosystem, and robust industry partnerships. In national assessments, it secured a Rank of 7 in the NIRF 2025 University category, 11 in Engineering, and 2 in Pharmacy. Regionally, it was ranked 154th in the QS Asia University Rankings 2025 and 22nd in India. Its research profile boasts a Scopus h-index of 156, over ₹398 crores in external funding over the past five years, and 221 patents filed with 41 granted. With a dynamic entrepreneurial ecosystem comprising over 7,500 founders, including 14 Unicorns and 1 Decacorn, BITS Pilani continues to solidify its status as a leading Indian institute for academic excellence, research output, and innovation.

BITS Pilani Campus

Key Topics

The 14th International Conference on Big Data and Artificial Intelligence (BDA 2026) offers a premier platform for researchers, academics, and industry professionals to showcase their latest findings, share practical experiences, and discuss emerging trends in the fields of big data and AI.

🤖
Artificial Intelligence & Machine Learning
☁️
Distributed Computing & Storage Models
📂
Data Access & Computing Paradigms
🔒
Analytics & Information Privacy
⛏️
Redesigning Mining Algorithms
🚀
Challenges & Future Research Directions

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