LATEST INSIGHTS

Looking back at the Google Build with AI series In Dallas. As a Data Analyst and Student, I believe the best way to understand the "AI Revolution" is to actually build something.

Me and my friend Sri Harshanadh Reddy Chinthala took the production patterns we learned and put them straight into practice. In the event, we successfully implemented an AI system where different AI agents team up to automatically research and build using the Google Cloud stack.

The Implementation Stack:

• Gemini for multimodal data reasoning.
• Vertex AI for agent orchestration.
• Cloud Run for hosting our backend.

It’s one thing to study data; it’s another to build an agent that can interpret it.

A massive shout-out to the Google team and GDG organizers here in Dallas. Thank you for providing the tools, the space, and the community to help us level up.

#BuildWithAI #DataScience #GoogleDevelopers #GDG #DallasTech #GenAI #LearningByDoing #AnalystLife

I recently attended the Zoho Analytics Roadshow, and the biggest takeaway wasn't just about better dashboards—it was the shift toward Agentic AI.

As a Business Analytics grad student, I’ve spent a lot of time hand-coding ETL pipelines. Seeing the new "Ask Zia for Data Engineers" in action was a game-changer. The ability to build, clean, and automate entire data pipelines using just natural language prompts is going to massively speed up the "Data-to-Insight" lifecycle.

My Top 3 Technical Takeaways:

• No-Code ETL: The new AI agents can handle complex transformations (like cleaning nulls or merging tables) purely through conversation. It feels like having a junior data engineer on standby.
• Model Context Protocol (MCP): This was a deep dive! The beta support for MCP means we can now build custom AI agents that interact seamlessly with Zoho’s data layer. This opens up huge possibilities for specialized industry solutions.
• Extreme Value Insights: They showcased how the new anomaly detection models can automatically flag outliers in high-volume datasets critical for the supply chain and healthcare data I’m currently studying.

A special thank you to Alan Francis and Sailas Sundaram for taking the time to chat with me after the sessions. I genuinely appreciated your patience in answering my questions and the meaningful discussion we had about the shift from "Self-Service BI" to "Agentic BI." It’s rare to get that kind of direct insight from product leaders, and it made the event incredibly valuable for a student like me.

#ZohoAnalytics #AgenticAI #DataEngineering #ETL #BusinessIntelligence #UTD #DataScience #GenBI

Yesterday, I had the opportunity to attend the Snowflake World Tour in Dallas with a few of my friends and fellow data enthusiasts! It was an incredible experience packed with innovation, learning, and networking with some brilliant minds in the data and AI space.

The event showcased how Snowflake’s Data Cloud is transforming the way organizations think about data collaboration, governance, and AI integration. From deep-dive sessions to live demos, there was so much to take in.

Here are a few key takeaways I’m walking away with:

• AI runs on data and data runs on Snowflake. The unified platform simplifies how teams can manage, share, and activate data securely.
• Snowflake Cortex is redefining how companies can operationalize AI directly in their data workflows—no heavy engineering required.
• Data sharing is the new integration. The ability to securely collaborate across organizations in real time is a true paradigm shift.
• The future of analytics lies in bringing computation to the data, not data to computation—improving performance and efficiency at scale.

Beyond the tech, it was just as exciting to share the experience with friends who are equally passionate about data and innovation. Events like this remind me how fast the field is evolving and how much there is to explore!

Big thanks to the Snowflake team for organizing such an insightful event and to all the speakers who shared their experiences and innovations—Jeff Hollan, Krishnan Parasuraman, Radx Radhakrishnan, and James McGeehan.

#Snowflake #DataCloud #AI #Analytics #DallasTech #DataCommunity #LearningJourney