Automate Insight Generation Using AI Agents
Hosted by Siddarth Ranganathan
What you'll learn
Build Insight-Driven Agents with OpenAI & CrewAI
Learn how to assign roles to AI Agents and accomplish insight automated business insight generation
Deploy Agentic AI workflows in Streamlit
Offer a concrete and concise explanation of how you will
help students understand and apply this lesson.
Design Considerations for an Agentic AI System
Learn implementation challenges and how to design an Agentic AI system
Why this topic matters
Data processing, manipulation and insight generation is table steaks for a Data Scientist. Automating and democratizing this process will accelerate solving business problems. In this session, we'll learn how to mimic the role of a Data Scientist by automating insight generation by leveraging an Agentic AI approach, Azure AI and Crew AI.
You'll learn from
Siddarth Ranganathan
Principal Data Science Manager, Microsoft
I am the Director of Data Science at Microsoft. I have 20 years industry experience across Data & Product. In my current role, I am responsible for driving the growth of Azure through AI and ML. I love to empower others through knowledge sharing and community building. I mentor data professionals to get to the next step in their careers.
Go deeper with a course
AI-ML Projects for Data Professionals
Manisha Arora and Siddarth Ranganathan
Data Science Lead, Google | Founder, PrepVector |
MIT, UT Austin & Univ of Cincinnati. Director of Data Science, Microsoft | Founder, PrepVector | USC Marshall
Keep exploring
.jpg&w=1536&q=75)
.jpg&w=1536&q=75)
