About us
Welcome to the Generative AI User Group – Powered by Datacouch
📍Serving India’s Leading Innovation Hubs – Bangalore, Hyderabad, Mumbai, Pune, Chennai, Delhi, Gurugram, Chandigarh, Kolkata, and Beyond
This is your go-to community for professionals, enthusiasts, and innovators passionate about the evolving landscape of Generative AI and Agentic AI. Whether you're a seasoned AI/ML expert, a cloud technologist, or just getting started with AI, this group offers valuable insights, inspiration, and connections.
🔍 What We’re About:
Exploring cutting-edge advancements in Generative AI and LLMs
Deep-diving into Agentic AI, AI coaching systems, and autonomous workflows
Cloud-based deployment of GenAI models (Azure, AWS, GCP)
AI/ML practices, MLOps, and production-grade applications
Data strategy and readiness for enterprise-scale AI adoption
đź‘Ą Who Should Join:
AI/ML engineers, data scientists, and tech architects
Cloud and DevOps professionals working with AI stacks
Product leaders, innovators, and AI startup founders
Researchers, educators, and curious minds from India’s vibrant IT cities
đź“… What to Expect:
Expert-led meetups and industry talks
Interactive workshops and hands-on labs
Use-case deep dives across finance, healthcare, retail, and more
Networking with India’s thriving AI community
Let’s learn, build, and lead the AI revolution—together.
Organized by Datacouch, a global leader in AI/ML, Agentic AI, and Generative AI Cloud solutions, this group is dedicated to fostering hands-on learning and real-world innovation.
📢 Interested in speaking or showcasing your work? Reach out to the organizers. We're always looking for passionate voices to share knowledge and insights.
Upcoming events
2
Snowflake vs. Databricks
·OnlineOnline## About the Session
Selecting between Snowflake and Databricks is no longer just a technical comparison - it’s a strategic enterprise decision that impacts governance, AI readiness, cost structure, and long-term platform scalability.
This 1-hour executive-focused meetup is designed to provide a clear, unbiased comparison of both platforms - helping decision-makers move beyond marketing narratives and toward informed, enterprise-ready choices.
Rather than positioning one as “better,” we will break down where each platform excels, where trade-offs exist, and how to evaluate them in the context of your organization’s goals.
Title: Snowflake vs. Databricks - Architectural Trade-offs, Governance, Cost, and Enterprise Decision Criteria
Date & Time: March 19, 2026 | 05:00 PM - 06:00 PM IST
Location: Online | Register NowWhat We Will Explore
Architectural Foundations- Snowflake’s cloud-native data warehouse model
- Databricks’ lakehouse architecture
Governance & Enterprise Controls
- Cataloging and metadata management
- Access control models
- Compliance readiness and security architecture
Pricing & Total Cost of Ownership
- Pricing models and consumption patterns
- Workload isolation strategies
- Hidden cost drivers
Performance & Workload Fit
- BI & analytics workloads
- Data engineering pipelines
- Streaming use cases
Enterprise Decision Framework
- Aligning platform choice with business strategy
- Team skillset considerations
- AI and future-readiness alignment
We will also address common enterprise pitfalls - such as selecting a platform based solely on pricing perception, optimizing for a single use case, or relying heavily on vendor positioning -ensuring your decision is strategic and future-proof.
Who Should Attend
- Chief Data Officers & Data Leaders
- Heads of Engineering, Data, and AI
- Enterprise & Cloud Architects
- Data Engineering & Analytics Leaders
- AI/ML Leaders building scalable production systems
- Technology Decision-Makers evaluating migration, consolidation, or expansion
If you are planning a new data platform initiative, modernizing your data stack, or evaluating long-term AI readiness, this session will provide the clarity and practical guidance you need.
Speaker
Nick Akincilar – AI & Data Strategist
Nick brings deep experience in modern data platform architecture and enterprise transformation initiatives. He has worked closely with organizations evaluating and implementing both Snowflake and Databricks environments, helping them balance innovation, governance, performance, and cost efficiency.Don’t Miss Out
Make your next platform decision with confidence - not assumptions.Register Now to secure your spot. This session is completely FREE.
For more updates, follow us on LinkedIn, YouTube, X, Facebook, and Instagram.
#Snowflake #Databricks #EnterpriseArchitecture #DataStrategy #DataGovernance #Lakehouse #CloudData #AIPlatforms #DataLeadership #TechWebinar #BigData #CloudComputing38 attendees
AI Evolution of Recommender Systems
·OnlineOnline## About the Session
## Recommender systems power today’s leading AI-driven platforms-from e-commerce to OTT. This session breaks down how these systems evolved from basic models to modern AI and deep learning-based approaches.
Title: AI Evolution of Recommender Systems: Foundations to Deep Dive
Date & Time: 24 April 2026 | 05:00 PM - 06:00 PM IST
Location:Online | Register Now
What You’ll Learn
• Fundamentals: collaborative vs content-based filtering
• Shift to AI & deep learning-driven recommendations
• Modern architectures & scalability
• Key challenges: cold start, sparsity, personalization
• Real-world use cases across industries
Who Should Attend
• Data Scientists, ML Engineers, AI Enthusiasts
• Data Engineers & Product Managers
• Anyone exploring AI-powered personalization
Speaker
Ritesh Ratti - AI/ML Expert
Ritesh Ratti is an AI & Data professional specializing in building scalable machine learning and recommendation systems for real-world applications.
With hands-on expertise in machine learning, deep learning, and data-driven architectures, he focuses on solving complex challenges around personalization and user behavior.
Known for his clear and practical approach, Ritesh simplifies advanced AI concepts into actionable insights—making them easy to understand and apply.
Don’t Miss Out
👉 Register now - it’s FREE!
Learn how to build scalable, AI-powered recommender systems with real-world relevance.#AI #RecommenderSystems #MachineLearning #DeepLearning #DataScience #AICommunity
11 attendees
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