Artificial Intelligence for Process & Product Innovation - E-book - ePub

Artificial Intelligence for Process & Product InnovationIntroductionWelcome to the Artificial Intelligence for Process & Product Innovation masterclass training course. This course is designed to help you identify potential applications of AI technologies and related tools, understand the key concepts behind them, and acquire the necessary skills to apply AI in process/product innovation initiatives.
We will delve into emerging trends in Artificial Intelligence, Machine Learning, Natural Language Processing (NLP) and related topics and explore how they can be applied to innovate processes and products. You will gain hands-on experience in designing experiments that leverage AI technologies such as Deep Learning, Reinforcement Learning, recommendation engines, computer vision etc., as suitable for your context.
Through a series of interactive workshops and case studies, you will learn how to develop innovative solutions powered by AI or incorporate existing AI technology into your own projects. You will also gain insights into best practices for using AI responsibly from a regulatory/ethical perspective. The goal of this masterclass is to equip you with the necessary skillset and confidence to embark on a journey of successful process/product innovation powered by AI technology.  Course OutlineModule 1.
Introduction to Artificial Intelligence (AI)-Overview of AI Technologies and the Process & Product Innovation-Identify potential applications of AI technologies and related tools-Understand the key concepts behind them-Acquire the necessary skills to apply AI in process/product innovation initiatives.-Overview of the advances made in AI and its applications within product/process innovation.- Why Artificial Intelligence matters for business success-Benefits and Challenges in Artificial Intelligence-Types of AI Applications and Components- How to apply AI to innovate processes and products Module 2.
Developing an AI Strategy-Determining Business Goals and Objectives-How data can be effectively collected from multiple sources, stored securely, and analyzed using AI algorithms. -Understanding Data Sources and Structure-Selecting Appropriate AI Technologies-Evaluating Risks and Making Adjustments Module 3. Applying AI Tools to Processes and Products-Identifying Opportunities for AI-driven Product Improvements -latest tools and techniques that can be used to improve process and product development.                -Designing a Step-By-Step Approach to Implementation                      -Advancing Innovative Processes with Automation     -Assessing the Impact of AI on Organizational Efficiency- Explore how they can be applied to innovate processes and productsModule 4.
Integrating People into the Equation for Successful Innovation- Problem-solving skills so as to create AI solutions capable of automating decision making across all stages of product/process development life cycles. -Identifying Human Resources Required for Effective Use of AI    -Using Human Insight to Enhance Machine Learning Capabilities  -Creating Balanced Teams with Technical Know-How and Human Understanding- Methods for validating, testing, monitoring, and deploying these solutions into real world scenarios through hands-on experience on projects/case