Sustainable Agriculture Go-to-Market Strategy

RHST Industries Inc is seeking a comprehensive go-to-market strategy for sustainable agriculture, specifically targeting nut and fruit tree farms. The primary goal is to leverage water conservation technology that can reduce the water footprint by 50%, thereby enhancing the sustainability of farming operations. This project involves understanding the intricacies of water rights trading within the catchment basin and how it can be beneficial for resilient farming practices. Additionally, the strategy should incorporate the generation of scope 3 and 4 ESG (Environmental, Social, and Governance) reports, which are advantageous for RHST Industries' clients. The project also aims to align with the Sustainable Groundwater Management Act (SGMA) objectives, ensuring that the farming operations not only conserve water but also contribute positively to the environment. The learners will apply their classroom knowledge of sustainable practices, market analysis, and strategic planning to develop a viable and impactful strategy.

IBM SkillsBuild: AI Chatbot Prototype Development & Validation

The objective of this project is to: Design, build and validate a functional prototype of an AI-powered chatbot tailored to solve a defined business challenges (e.g, customer support automation, employee onboarding, internal knowledge retrieval).  Desired outcomes by the end of the project: Define natural language processing Explain how AI uses natural language processing to derive meaning from text Explain the classification problem and its solutions Describe how a chatbot understands, reasons, learns, and interacts with users Distinguish between intents, entities, and dialogs Identify appropriate uses for chatbots Identify real-world uses for natural language processing (NLP) Describe how AI classifies images to derive meaning from them Describe how a convolutional neural network(CNN) analyzes an image Describe how a generative adversarial network (GAN) creates a credible image Identify real-world uses for computer vision Recommended IBM SkillsBuild course: Run AI Models with IBM Watson Studio

Pricing Model Development

We would like you to develop and test a series of pricing model options and present an effective data-based pricing model recommendation for our organization. You should conduct primary and secondary research to confirm your recommendation is validated by our target customer in this market. To accomplish this, we believe you will need to conduct the following research: Our organization’s costs, target customer, revenue targets, and business goals. The competitive landscape of this new market. Organizing focus groups, surveys, and/or customer discovery interviews to get input and feedback on potential pricing models. Using targeted online ads to A/B test landing pages with different price models. We want to enter this new market with a proven pricing model so that we can have a successful launch. Final deliverables should include: A written report including an Executive Summary that illustrates your research findings and recommendations on our pricing model. A visual presentation of your research findings and recommendations.