Satyamoy Chatterjee

Co-founder | Surge Datalab an Analytics & AI Solutions Startup

Driving the next frontier of analytics and AI

[Satyamoy Chatterjee @satyamoy]

@adamsilverman @AgentOpsAI Fascinating to see the pace at which this space is evolving!

[Satyamoy Chatterjee @satyamoy]

Agentic AI a powerful way forward to revolutionize the data enabled decision making space!

@SurgeDatalab

#AI #ArtificialIntelligence #data #Analytics #DataScience #GenerativeAI

[Andrew Ng @AndrewYNg]

New course: MCP: Build Rich-Context AI Apps with Anthropic. Learn to build AI apps that access tools, data, and prompts using the Model Context Protocol in this short course, created in partnership with Anthropic @AnthropicAI and taught by Elie Schoppik @eschoppik, its Head of Technical Education.

Connecting AI applications to external systems that bring rich context to LLM-based applications has often meant writing custom integrations for each use case. MCP is an open protocol that standardizes how LLMs access tools, data, and prompts from external sources, and simplifies how you provide context to your LLM-based applications. For example, you can provide context via third-party tools that let your LLM make API calls to search the web, access data from local docs, retrieve code from a GitHub repo, and so on.

MCP, developed by Anthropic, is based on a client-server architecture that defines the communication details between an MCP client, hosted inside the AI application, and an MCP server that exposes tools, resources, and prompt templates. The server can be a subprocess launched by the client that runs locally or an independent process running remotely.

In this hands-on course, you'll learn the core architecture behind MCP. You’ll create an MCP-compatible chatbot, build and deploy an MCP server, and connect the chatbot to your MCP server and other open-source servers.

Here’s what you’ll do:
- Understand why MCP makes AI development less fragmented and standardizes connections between AI applications and external data sources
- Learn the core components of the client-server architecture of MCP and the underlying communication mechanism
- Build a chatbot with custom tools for searching academic papers, and transform it into an MCP-compatible application
- Build a local MCP server that exposes tools, resources, and prompt templates using FastMCP, and test it using MCP Inspector
- Create an MCP client inside your chatbot to dynamically connect to your server
- Connect your chatbot to reference servers built by Anthropic’s MCP team, such as filesystem, which implements filesystem operations, and fetch, which extracts contents from the web as markdown
- Configure Claude Desktop to connect to your server and others, and explore how it abstracts away the low-level logic of MCP clients
- Deploy your MCP server remotely and test it with the Inspector or other MCP-compatible applications
- Learn about the roadmap for future MCP development, such as multi-agent architecture, MCP registry API, server discovery, authorization, and authentication

MCP is an exciting and important technology that lets you build rich-context AI applications that connect to a growing ecosystem of MCP servers, with minimal integration work.

Please sign up here! https://t.co/UDyp8NRe8R

[Satyamoy Chatterjee @satyamoy]

Excited to announce the launch of our Agentic AI Resources page! Explore curated content on the latest AI trends and insights; Get acces to a 650+ page research report on 150+ tools in the ecosystem. Check it out and discover new value!
https://t.co/jyeZrrfbmO

#AI #Tech #Data

[SurgeDatalab @SurgeDatalab]

LangChain simplifies LLM app development with seamless data/API integration. Its modular design boosts flexibility and speeds up deployment for real-world use cases.

[SurgeDatalab @SurgeDatalab]

Zep is a memory system for agentic AI that allows intelligent agents to store, recall, and utilize information contextually. It enhances decision-making, personalization, and adaptability by enabling agents to learn from past interactions and experiences efficiently.

[Satyamoy Chatterjee @satyamoy]

Successful Agentic AI solutions requires expertise & focus. At @SurgeDatalab, we balance 4 key factors: deep business experience, targeted capability investments, framework readiness, and technology enablement. The result? Effective, context-aware AI for rapid business impact!

[SurgeDatalab @SurgeDatalab]

n8n is an open-source automation tool enabling Agentic AI to orchestrate intelligent workflows and integrate diverse applications seamlessly.

#AgenticAI #n8n #surgedatalab #Tech #technology #Automation #ArtificialInteligence #Analytics

[SurgeDatalab @SurgeDatalab]

🚀At SurgeDataLab, we've conducted an in-depth analysis of 650+ Agentic AI tools. Our comprehensive report is a treasure trove of insights. Want access?

Follow us and send a DM to receive the full report. #AgenticAI #AIresearch #SurgeDataLab

[Satyamoy Chatterjee @satyamoy]

Surge Datalab - About Google Gemini https://t.co/CMvrAuD9VW via @YouTube

[Satyamoy Chatterjee @satyamoy]

https://t.co/630u1MfZS4

[Satyamoy Chatterjee @satyamoy]

Surge Datalab -About Phidata (Now Agno) #technology #innovation #chatgpt... https://t.co/aRUvMco6Ar via @YouTube

[Satyamoy Chatterjee @satyamoy]

Privileged to be part of this panel. An excellent experience through and through. Thank you @ril_foundation for the opportunity! Congratulations to all the students!

[Reliance Foundation @ril_foundation]

Meet the esteemed panellists who evaluated the 2022-23 Reliance Foundation Postgraduate Scholars! 🌟
We are thankful to each of them for their support through the Reliance Foundation Postgraduate Scholarships journey.

#RelianceFoundationScholarships

[SurgeDatalab @SurgeDatalab]

Surge Datalab - An Analytics & AI Consulting Services Company - "Connecting your dots!"

[SurgeDatalab @SurgeDatalab]

Discover, Define, Develop, Deploy!

[Satyamoy Chatterjee @satyamoy]

Check out my latest article: Embracing the Power of Data: Unlocking Success as a Data-Driven Organisation
https://t.co/7jQHfIdyXz via @LinkedIn

[Satyamoy Chatterjee @satyamoy]

@ramya_pradhan @HALHQBLR @BBMPCOMM @WFRising @marathallips @timesofindia This needs to stop. Creating significant challenges to residents and is frequent

[Ramya Pradhan @ramya_pradhan]

Garbage being burnt by @HALHQBLR near Yemalur junction. Thick smoke has engulfed complete neighborhood. Even with windows closed, can smell it. Extreme level of air pollution. HAL, this needs to stop #bangalore @BBMPCOMM @WFRising @marathallips #TOIcitizenreporter @timesofindia

[LEAPS by Analyttica @Analyttica]

Analyttica Datalab organized an in–house speaker session with Rohit Kaila, VP Engineering at Walmart, in the monthly Townhall. Rohit shared his experiences of working in the global retail industry and their innovations in the space.
Below are some of the moments from the session.

[AIM @Analyticsindiam]

AIM Leaders Council #post

@satyamoy, seasoned Analytics Professional and a hands-on Leader shares his insights on how Experiential Learning Is An Essence To Address The Skill Gap In The Field Of Analytics And Data Science

#analytics #datascience

https://t.co/Z3lk5oa07R