See How AI Creates Value in the Real World
Move beyond theory by exploring how Artificial Intelligence is applied across industries, functions, and organizational challenges.
Select a center to explore guidance, standards and practitioner resources
Move beyond theory by exploring how Artificial Intelligence is applied across industries, functions, and organizational challenges.
The IBACTP® AI Case Studies & Applications Center examines implementation decisions, technologies, business outcomes, governance considerations, risks, and lessons learned.
Explore applications involving:
Case studies should also examine privacy, safety, bias, explainability, cybersecurity, and human oversight.
Applications include:
Explore:
Applications include:
Explore:
Applications include:
Special emphasis should be placed on fairness, privacy, explainability, human oversight, and employment-related risk.
Explore responsible applications involving:
Applications include:
Explore:
Applications include:
To give the IBACTP® case-study library a consistent professional identity, every case study should follow a standardized structure:
What problem needed to be solved?
What industry, operating environment, and stakeholders were involved?
Why was Artificial Intelligence considered appropriate?
What data was required?
What AI or machine learning techniques were applied?
How was the solution integrated into operations?
What privacy, cybersecurity, ethical, regulatory, and governance issues were addressed?
What measurable outcomes were achieved?
What limitations or implementation difficulties occurred?
What can other professionals learn from the case?
How can the lessons be transferred to other organizations?
Pair these resources with an IBACTP® credential that validates the competence they describe.
