This is an exciting time for AI. Organizations are looking to advanced analytics technologies such as machine learning (ML) to help them gain insights, build applications, become more competitive, and digitally transform. AI technologies are being used across a wide variety of use cases, including churn analysis, fraud analysis, situational analysis, preventive maintenance, and improved customer understanding. Generative AI is transforming the landscape and providing other opportunities for companies.
Although organizations are excited about AI, are they ready for it? Hear from TDWI’s Fern Halper, MongoDB’s Steve Dalby, and experts from Pecan AI and SAP as they discuss TDWI’s most recent assessment on AI readiness.
Discussion topics will include:
- How ready are organizations for AI?
- What is the level of organizational commitment to AI in today’s business world?
- How ready is respondents’ data infrastructure for AI?
- What roles and responsibilities do organizations need to put in place for AI readiness?
- How should organizations address ethical concerns—such as data privacy, data ethics, and data bias mitigation—to be ready for AI?
