Gen AI tools for Business & Operation leaders

Develop a sales and marketing plan for AI-powered content generation, from brainstorming to creating blogs, social media, business plans, and scripts, using specialized AI tools and clear workflows.

Discover how content generation tools save time and overcome writer's block by outlining marketing plans, with Copilot in Microsoft Word for rewriting; guard against repetition and hallucinations with human supervision.

Demonstrate how perplexity ai in market research showcases perplexity ii, a customized search engine trained on research papers that links and summarizes insights on competitive rivalry in renewables.

Discover how to create and evaluate a nine-block business model canvas, detailing value proposition, customer segments, channels, revenue streams, and costs, while comparing third-party platforms and building your own solution.

Perform a detailed swot analysis of the business model against competition, highlighting niche segmentation, flexibility, and interactive modules, while exploring ai skills demand, partnerships, and global market penetration.

Turn a current business model into a structured ai-assisted business plan using a 12-step framework that covers industry analysis, pestel, Porter's five forces, marketing, operations, development, and financial plans.

Create an investor pitch deck using ai tools by outlining content first, then converting it into slides with gamma, Slidebean, or slides dot io.

Create brand images and AI-generated videos using prompts with tools like DALL·E, Microsoft AI designer, and Synthesia, including avatars, dubbing, and multi-language voiceovers.

Explore website and chatbot creation using language models and tools like copilot and code architect GPT, including text-to-speech and customer-service bots. Emphasize training data quality and data analysis for business.

Explore how ChatGPT with code interpreter analyzes uploaded data to reveal insights. Forecasting, predictive analytics, prescriptive analytics, anomaly detection, and customer segmentation emerge, with preprocessing needs and data biases noted.