Digital Intelligence for Data Science & AI in Manufacturing
Duration
1 Day (8 hours)
Level
Intermediate to Advanced Level
Design and Tailor this course
As per your team needs
This intensive 1-day course is designed to equip B2B sales professionals with essential domain intelligence to effectively engage with manufacturing companies undergoing IoT and AI-driven digital transformation. Participants will delve deep into industry-specific insights, gaining a comprehensive understanding of the financial, operational, and governance aspects unique to manufacturing organizations.
By the end of the course, participants will be able to:
- Recognize monetization opportunities within the manufacturing sector.
- Articulate compelling value propositions tailored to manufacturing clients.
- Strategically position their IoT and AI solutions to address key business challenges.
- Drive digital innovation by aligning offerings with industry needs.
This knowledge empowers sellers to engage more effectively with manufacturing companies, fostering partnerships that advance digital transformation initiatives.
Outcomes:
Upon completion of the course, participants will be able to identify the unique business challenges faced by manufacturing organizations and recognize the market opportunities presented by IoT and AI technologies. They will develop strategies to engage key stakeholders and buyer personas, navigate the financial and operational landscape, and leverage their understanding of industry-specific regulations and metrics to drive successful sales engagements.
Key Takeaways:
- Recognize IoT and AI monetization opportunities in manufacturing
- Understand industry-specific business challenges and goals
- Develop strategies to influence decision-makers and buyer personas
- Navigate financial reports and KPIs for identifying transformation projects
- Articulate value propositions for digital solutions in manufacturing
- B2B Sales Professionals targeting manufacturing clients
- Business Development Managers focused on IoT and AI solutions
- Technology Vendors and Solution Providers in the industrial sector
- Sales Consultants in the Manufacturing domain
- Overview of AI in Industry 4.0 and Smart Manufacturing
- Role of data science in manufacturing process improvements
- Key AI technologies: machine learning, deep learning, predictive analytics
- Effective data collection strategies for IIoT (Industrial Internet of Things)
- Preparing manufacturing data for AI applications
- Real-world examples of data-driven manufacturing optimization
- Predictive maintenance: reducing downtime with AI
- Quality control automation using AI-based defect detection
- AI for process optimization: energy efficiency and workflow improvements
- Case studies: AI applications in sectors like automotive and electronics
- Steps for integrating AI into existing manufacturing workflows
- Overcoming barriers: data readiness and AI adoption challenges
- Developing an AI roadmap for your organization
- Ethical considerations in AI implementation (data privacy, biases)
- Future trends: generative AI, digital twins, and advanced robotics in manufacturing
- Group Activity: Developing an AI use case for your manufacturing process
- Basic understanding of IoT and AI technologies
- Familiarity with manufacturing industry concepts is helpful but not required