How do you evaluate the AI solutions that will deliver results for your business?
Share:
This webinar gives you a practical way to judge any AI product before you start relying on it. Evaluate and Norstella experts will cover how agents are built, why the data behind them sets the ceiling on accuracy, and how answers get scored against expert-written references. We will also address how Model Context Protocols (MCPs) can boost your data-driven decision making.
Can’t make the live date? Register anyway and you’ll receive a recording once the event has taken place.
AI agents plan and execute multi-step work, so they interpret your question, decide which data to query and return a source-linked answer you can verify. Under the hood an agent has four parts. The model does the reasoning but has no live view of your market on its own, data access decides what it can reach, tools let it query, calculate, chart and build the deck, and instructions pick the tool, the order and when the job is done.
Yes, the webinar is free to attend. If you can’t make the live date, you’ll receive a recording once the event has taken place.
MCP is an open standard for connecting AI tools to external data and tools. Along with data access and tools, it is one of the three things that decide what an agent can and cannot know. The webinar explains it in plain English.
The session is for anyone in pharma who is weighing AI tools and needs a way to judge them before relying on them.
You will leave with three things you can answer before you buy, build or trust any AI product. These cover how agents are built, how a public chatbot differs from a purpose-built agent and how to evaluate any AI. That includes the tests for a good answer, the questions to put to a vendor and the red flags worth walking away from.
