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Generative AI for Client and Stakeholder Engagement

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ML Courses Generative AI Stakeholder Engagement

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AI Powered Client and Stakeholder Engagement

Program Outline: AI Powered Client and Stakeholder Engagement
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Duration:
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2 Days

Course Audience:
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Service Delivery Managers, Product Managers, Scrum Masters, NBU Leads/Managers

Target Unit:
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Delivery CoE, Product, Corporate-Sales

Course Outline
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Day 1: Fundamentals of Engagement and AI Integration
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Morning Sessions 9:00 AM to 1:00 PM
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1. Session 1 - Introduction to AI in Client Engagement (9:00 AM - 10:30 AM)

  • Overview of AI-Powered Tools for Engagement
  • Benefits of Using AI in Stakeholder Communication

2. Session 2 - Building Strong Client Relationships with AI Insights (10:45 AM - 1:00 PM)

  • Leveraging AI for Understanding Client Needs and Preferences
  • Personalizing Engagement Using AI Analytics

Lunch 1:00 PM to 2:00 PM

Afternoon Sessions 2:00 PM to 5:00 PM
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3. Session 3 - Communication Strategies Enhanced by AI (2:00 PM - 3:30 PM)

  • Using AI Tools for Real-Time Feedback Analysis
  • Crafting Effective Communication with AI-Supported Templates

4. Session 4 - Managing Expectations with Predictive Analytics (3:45 PM - 5:00 PM)

  • AI for Forecasting Project Outcomes
  • Proactively Addressing Stakeholder Concerns with Data

Day 2: Advanced Techniques and Practical Application
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Morning Sessions 9:00 AM to 1:00 PM
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5. Session 5 - Conflict Resolution with AI Insights (9:00 AM - 10:30 AM)

  • Identifying Early Warning Signs with AI Monitoring Tools
  • Tailoring Resolution Strategies Using AI-Powered Recommendations

6. Session 6 - Enhancing Decision-Making through AI Collaboration (10:45 AM - 1:00 PM)

  • Facilitating Stakeholder Workshops Using AI Tools
  • Driving Consensus with AI-Supported Visualizations

Lunch 1:00 PM to 2:00 PM

Afternoon Sessions 2:00 PM to 5:00 PM
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7. Session 7 - Practical Scenarios and AI-Driven Role-Playing (2:00 PM - 4:00 PM)

  • Hands-On with AI Engagement Tools
  • Role-Playing Stakeholder Meetings Using AI Insights

8. Session 8 - Wrap-Up and Future Roadmap (4:00 PM - 5:00 PM)

  • Crafting Action Plans for AI-Powered Engagement
  • Feedback and Certification Distribution

Key Outcomes:
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  • Understand the role of AI in enhancing client and stakeholder engagement.
  • Develop personalized engagement strategies using AI analytics.
  • Learn to leverage AI for proactive communication and conflict resolution.
  • Gain practical experience with AI tools for effective decision-making and collaboration.

Recommended Pre-Course Preparation:#

  • Familiarize yourself with basic AI concepts and their applications in business.
  • Review case studies on successful AI implementations in client engagement.
  • Reflect on current challenges in client and stakeholder engagement processes.

Materials Provided:
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  • Training slides and handouts.
  • Access to recommended AI engagement tools and software.
  • Templates for AI-powered communication and analytics.
  • Case studies and practical exercises.
  • Certificate of Completion.
Dr. Hari Thapliyaal's avatar

Dr. Hari Thapliyaal

Dr. Hari Thapliyal is a seasoned professional and prolific blogger with a multifaceted background that spans the realms of Data Science, Project Management, and Advait-Vedanta Philosophy. Holding a Doctorate in AI/NLP from SSBM (Geneva, Switzerland), Hari has earned Master's degrees in Computers, Business Management, Data Science, and Economics, reflecting his dedication to continuous learning and a diverse skill set. With over three decades of experience in management and leadership, Hari has proven expertise in training, consulting, and coaching within the technology sector. His extensive 16+ years in all phases of software product development are complemented by a decade-long focus on course design, training, coaching, and consulting in Project Management. In the dynamic field of Data Science, Hari stands out with more than three years of hands-on experience in software development, training course development, training, and mentoring professionals. His areas of specialization include Data Science, AI, Computer Vision, NLP, complex machine learning algorithms, statistical modeling, pattern identification, and extraction of valuable insights. Hari's professional journey showcases his diverse experience in planning and executing multiple types of projects. He excels in driving stakeholders to identify and resolve business problems, consistently delivering excellent results. Beyond the professional sphere, Hari finds solace in long meditation, often seeking secluded places or immersing himself in the embrace of nature.

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