Are you willing to implement AI in your organization?
Don’t know where to start?
Maybe you’ve tried and failed?
This practical session will help you:
- establish and clarify your understanding of AI core concepts,
- learn about the best AI use-cases in your industry,
- understand what 5 areas should be managed within an AI project,
- set up your next actions towards your goal.
During the session, we will cover 8 steps and topics:
- “What is AI?”, “How does AI work?, and “What can and can't AI do?
- The most popular AI use cases in manufacturing.
- How to spot a feasible and valuable AI use-case that relates to your needs
- How to estimate AI projects and evaluate ROI? The cost structure.
- Assessment, PoC, Pilot - The major phases of an AI project’s life cycle.
- What can go wrong? The main risks in AI projects.
- Success or failure? Terminate or continue? Setting the right acceptance criteria.
- Scaling challenges. How to go beyond a PoC?
Who can benefit from this session?
If you're a manager or director striving to make the most out of AI, and you work in one of these industries:
- Automotive Manufacturing
- Food & Beverages
- Electronics & Semiconductors
- Logistics & Supply Chain
What you get:
- Use-cases
- AI building blocks
- Best practices in AI project management
and understanding of how to deal with:
- Practical AI implementation
- AI team roles & expectations
- Investment in AI: risks, deliverables, expenses
- How to measure success
Agenda (60 minutes):
- Interactive survey for the most pressing issues in your AI journey
- Tools and methods for resolving chosen issues
- Overview of AI frameworks and tools
- Defining your next step: How to proceed in your AI journey; How to benefit from an NVIDIA-sponsored AI adoption program.
- Q&A
Experts
- Piyush Modi, Ph.D. - Business Development & Chief Strategist, Industrial Sector at NVIDIA,
- German Suvorov, Ph.D. - Head of Industrial AI at Data Monsters,
- Artemy Malkov, Ph.D. - CEO of Data Monsters.