Promising Revenue Growth Potential of GenAI
Per Google Cloud’s GenAI research (Oct 24) re 2,500 executives (including 700+ CEOs & CIOs) globally:
- 84% organizations can move to production in less than six months.
- 74% of enterprises using Gen AI report ROI within first year.
- 86% of those cos reporting increased revenue have 6% or more increase.
- 91% of organizations with robust C-level support report increased revenue estimate of 6% or more.
“For CEOs, the message is clear: Gen AI is an essential tool for staying competitive in fast-changing market.” The research has also shed lights on importance of GenAI investments on competitiveness. Top performers financially have invested significantly at more than 15% of Operating Costs in GenAI. (Source: Google Cloud / National Research Group). https://www.linkedin.com/feed/update/urn:li:activity:7289606273430405122
This Course covers various aspects of applying GenAI in businesses, including: Sales & Marketing, Customer Service Operations, Product R & D, Workflow Automation, and Ethics.
Enhance skills to leverage GenAI to supercharge the productivity & reap potential business benefits for cos, & use GenAI in responsible manner. covering below areas;
- Sales & Marketing
- Customer Service Operations
- Product R & D
- Workflow Automation
- Ethics
Who Is This For
Functional Heads | Tech Practitioner | Analytics Practitioner | Product Managers | Marketing and Sales Professionals
GenAI for Business Transformation Course is consisted of:
Workflow Automation using Generative AI
- Introduction to Generative AI and Workflow Automation
- Getting Started with Zapier
- Integrating Generative AI with Zapier
- Use Cases of Generative AI and Zapier Automation
- Advanced Techniques with Zapier and Generative AI
- Monitoring and Optimization
- Real-world Examples and Case Studies
Learning Outcomes
- Understand basics of workflow automation and how AI can streamline and enhance business processes.
- Master connecting Zapier to AI tools, creating automated AI-driven workflows, and learn to test and debug these integrations effectively.
- Explore how AI enhances content creation and personalization, streamlines data entry, and automates social media.
- Learn to create multi step Zaps with conditional logic, use AI-generated data for decision-making, and handle large datasets through batch processing.
- Gain insights into tracking Zap performance and analytics, optimizing for efficiency, cost savings, and AI-powered workflows.
- Explore industry-specific AI automation use cases, success stories, challenges faced, and key lessons learned
Practice Exercises
- Automate Email Responses
- Building an Automated Workflow
- Troubleshoot Query
- Automate Blogs
- Automate Social Media Content Creation
- Summarizing Business Information
GenAI in Sales & Marketing
- Digital Transformation of Sales & Marketing
- Generative AI for Content Creation
- Generative AI for Lead Generation
- Personalization & Customer Segmentation
- Predictive Sales Analytics
- Enhancing Customer Interactions
- Generative AI for Marketing Attribution
- Challenges in Implementing Generative AI
- Case Studies: Success Stories & Lessons Learned
- Preparing for the Future: Trends and Predictions
Learning Outcomes
- Master digital strategy evolution, AI's pivotal role in sales/marketing, and leverage generative AI for impactful sales/marketing applications
- Master AI-driven copywriting and content creation, spanning ads, social media, product descriptions, blogs, articles, and visually appealing graphics and videos for effective and diverse marketing strategies.
- Mastery in AI-driven customer engagement: personas, lead lists, chatbots, email outreach, and dynamic content for personalized campaigns based on predictive behavior
- Gain expertise in using AI to generate and customize documentation for APIs, libraries, and applications
- Learn how to use generative AI for refactoring and optimizing code to enhance performance and readability
- Master using AI for design innovation, user insight, accessibility enhancement, and optimizing product development
- Gain insights into integrating generative AI in software development, future trends, and the ethical aspects of AI in coding.
Practice Exercises
- Creating content for blog post
- Creating a video and the posts for social media campaign
- Creating a sales pitch
- Creating user preference feedback survey
- Creating marketing plan
- Building a sales objection playbook
- Building cross-sell strategies
- Building an upsell strategy
Generative AI in Product & Research Development
- The AI Revolution in Product Management
- Product Research and Ideation with Generative AI
- Generative AI in Product Design and Prototyping
- Generative AI for Product Development
- Enhancing User Experience (UX) with Generative Techniques
- Product Road mapping and Strategic Planning
- Data-Driven Product Management
- Challenges and Considerations in AI Integration
- Preparing for the Future: Next-gen AI Tools and Techniques
Learning Outcomes
- Understanding how AI is reshaping product management strategies.
- Leveraging AI for innovative product ideas and concepts.
- Using AI to create and iterate on product designs.
- Enhancing the development process using AI algorithms.
- Improving user satisfaction through AI-driven UX enhancements
- Aligning product vision with business goals
- Making informed decisions based on data insights
- Addressing obstacles like data quality, model interpretability, and ethical implications
- Exploring next-generation AI tools and techniques
Practice Exercises
- Generative AI Mastery: Transforming Product Strategy and Design
- Navigating AI-Driven Product Management
- AI-Driven Market Research for Vegan Snack Bars
- Generating Content for Social Media and Products
Ethics of Generative AI
- Introduction to Generative AI in Business
- The Ethical Landscape
- Data Integrity and Privacy
- Responsible Creation and Deployment
- Transparency and Accountability
- Regulatory Landscape and Compliance
- Social Implications and Fairness
- Best Practices in Ethical AI Deployment
- Future Directions: Shaping Ethical Generative AI
Learning Outcomes
- Understand ethical dimensions of GenAI, including bias, privacy, transparency, intellectual property, misinformation, and social impact
- Learn about challenges in data collection, synthetic data privacy, navigating GDPR/CCPA laws, avoiding AI biases, quality control, and mitigating malicious AI uses
- Gain insights into AI's 'Black Box' issue, explainable AI, legal frameworks, regulatory compliance, and future predictions for AI regulations
- Learn to ensure fair AI representation, its societal impact, ethical AI in critical domains, stakeholder engagement, and collaboration in shaping AI ethics.
Practice Exercises
- Formulate a comprehensive analysis report checklist to outline key ethical considerations
- Formulate compliance framework to ensure creation of Responsible AI
English
**If the class is not held successfully by Novemeber 2025, refund will be arranged in December 2025. Amount of refund - If paid by FPS, full amount will be refunded. For payment through PayPal, amount will be refunded after deducting 4% charge of PayPal.
- One year access to Learning Management System ( including recordings of registered Live Virtual Classes available post-class) from date of activation of LMS.
- Disclaimer: Business benefits of the Google Cloud research quoted above are for illustration purposes only. We do NOT guarantee the learners can achieve any one or more of the business benefits mentioned, which would depend on many factors, such as business strategies, priorities, scope of applying GenAI in various business operations etc.
- Upon purchase of this Course, HKD200 cash coupon can be used for next purchase (one year validity from date of purchase)
- Subject to T & Cs