AI for Business Leaders

Explore how artificial intelligence and large language models underlie generative AI, powering search, recommendations, and text outputs, while distinguishing foundation models from applications like Copilot or Zoom AI.

Explore core large language model capabilities beyond simple question-and-answer, and apply the CITE framework—condensing, inferring, transformation, expansion—to generate, transform, and edit content with a human in the loop.

Demonstrate building a benefits tool from a simple Claude prompt to adjust base salary, calculate total compensation, include health insurance, 401K retirement, paid time off, and publish results.

Differentiate asking a question from scoping a task to unlock outputs. Create a SWOT analysis of Mars Food Company against its top five competitors, and present results in a table.

See how prompt expansion and contextual examples, including emojis and bold emphasis, improve email drafting with Claude, showing simple prompts and context-rich personalization for artificial intelligence for business leaders.

See an LLM use case on mobile that transforms handwritten post-it notes into a data table with a categorization layer, powered by AI and computer vision.

Use ai on your phone to get real-time feedback on your presentation opening, including pacing, hooks, facial gestures, and natural delivery, all in a pocket-friendly workflow.

Leverage AI to rapidly analyze CSV files and structured data, extract insights on customer survey responses including NPS and sentiment, and auto-generate charts and a dashboard for storytelling.

Build a custom ai assistant by merging public knowledge with your internal organizational context. Tailor it with your mission and values to boost productivity.

Edit and refine your AI strategist assistant to align new programs with the 2025 plan, mission, and success metrics, enabling leadership to refine ideas into actionable initiatives.

Experiment with personalized ai to tailor outputs to your style and context. Try designing a logo or a bedtime story to see what the tool knows about you.

Empower employees to experiment safely with AI, share failures and learnings, and form cross-functional teams to uncover new use cases and boost productivity.

Lead with guardrails and enterprise-grade tools to secure data and limit risk across the organization. Validate outputs with legal and policy teams to address hallucinations, bias, and copyright concerns.

Leadership drives AI adoption by creating hands-on space for experimentation, sharing successes and failures, and setting guardrails to address hallucinations, bias, and data security.