Identifying AI Use Cases

Identifying

AI Use Cases

Transform Your Business with

Targeted AI Solutions.

Identify and develop AI applications tailored to your business needs, learning to map workflows, address pain points, and craft effective AI solutions through structured approaches and hands-on exercises.

  • Next Training: 22 October 2024
  • Duration: 4 hours
  • Price: €450 (excl. VAT)
  • Languages: English (German available upon request)
  • Location: Online (Onsite available upon request)

Details

Unlock the potential of artificial intelligence in your business with our “Identifying AI Use Cases” course. This comprehensive 4-hour online course is designed to help professionals discover and develop AI applications tailored to their unique workflows and business challenges. Through a structured approach and hands-on exercises, you’ll learn to identify valuable AI use cases that can drive significant impact and innovation.

Join us to systematically identify AI use cases that align with your business goals and workflow improvements. This course is ideal for business analysts, project managers, and executives looking to leverage AI for enhanced operational efficiency and innovation.

Modules

Overview of AI Use Cases

Introduction to the course materials and tools that will be used throughout the session.

Mapping Your Current Workflow

Analyze and document your existing workflows to identify areas for potential AI integration.

Identifying Problem/Pain Points

Define and articulate the specific problems or pain points in your current workflow.

Defining Personas

Identify the key personas involved and their roles in the workflow.

Assessing Problem Impact

Assess the impact of the identified problems on your business operations and outcomes.

Developing a Value Proposition

Develop a qualitative value proposition for addressing the identified problems with AI solutions.

Describing Your Target Workflow

Summarize the desired future state of your workflow after implementing AI solutions.

Meet the trainers

Dr. Allison Fisher

Allison is a seasoned leader and educator with a passion for agile learning and ethical AI and over 20 years of expertise in leadership, curriculum design, instruction, and building and scaling training programs. After spending 15 years in academia as a university professor and Dean, she transitioned to the field of AI, working with clients to integrate AI applications into education programs, and then as the Head of AI Academy, building an AI Academy from scratch in 18 months, resulting in large-scale training initiatives for renowned companies. Dr. Fisher’s steadfast commitment to ethical AI and transformative education positions her as a dedicated advocate in shaping the future of technology.

Dr. Denise Vandeweijer

Denise is a distinguished alumnus of TU Munich with a background in Mechanical Engineering, later pursued a PhD in Information Systems, enriching her academic repertoire. Her professional journey boasts a decade at BMW, where she played a pivotal role in pioneering autonomous driving initiatives. After a noteworthy 3-year tenure as the Director of AI Solutions and Projects, Dr. Denise Vandeweijer transitioned into entrepreneurship. As a serial founder in the AI domain, she has consistently pushed the boundaries of what’s possible, emphasizing an “AI-first” approach. Her passion for merging engineering with artificial intelligence makes Dr. Denise Vandeweijer a key figure in the AI industry.

Dr. Allison Fisher

Allison is a seasoned leader and educator with a passion for agile learning and ethical AI and over 20 years of expertise in leadership, curriculum design, instruction, and building and scaling training programs. After spending 15 years in academia as a university professor and Dean, she transitioned to the field of AI, working with clients to integrate AI applications into education programs, and then as the Head of AI Academy, building an AI Academy from scratch in 18 months, resulting in large-scale training initiatives for renowned companies. Dr. Fisher’s steadfast commitment to ethical AI and transformative education positions her as a dedicated advocate in shaping the future of technology.

Dr. Denise Vandeweijer

Denise is a distinguished alumnus of TU Munich with a background in Mechanical Engineering, later pursued a PhD in Information Systems, enriching her academic repertoire. Her professional journey boasts a decade at BMW, where she played a pivotal role in pioneering autonomous driving initiatives. After a noteworthy 3-year tenure as the Director of AI Solutions and Projects, Dr. Denise Vandeweijer transitioned into entrepreneurship. As a serial founder in the AI domain, she has consistently pushed the boundaries of what’s possible, emphasizing an “AI-first” approach. Her passion for merging engineering with artificial intelligence makes Dr. Denise Vandeweijer a key figure in the AI industry.

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