Osterman Research – notes and learnings

AvePoint recently published its inaugural AI and Information Management Report: The Data Problem That’s Stalling AI Success (no registration required). The report is based on a survey of 762 respondents across 16 countries. AvePoint, AIIM, and CIPL were involved in the production of the report.

Takeaways of note:

• AI success starts with data success
  The core assertion of the report is that if an organization’s data isn’t ready for training AI models (data must be clean, organized, and accessible), then AI solutions will be hampered in delivering business results. AI solutions will repeat – or amplify – insufficient data, poor logic, and give bad outputs.
• Data success requires information management disciplines
  Organizations already doing well with IM disciplines will be more likely to see early and sustained success with AI investments. Those without mature IM disciplines would be better to address shortcomings here before jumping prematurely on the AI bandwagon.
• Differentiate between short-term and long-term success of AI
  Short-term success is productivity, efficiency, and other quantifiable metrics. Long-term success requires assessing data quality over time that can be used to train AI models.
• Employee training is essential
  Employees need training and upskilling on how to use AI in their jobs, plus how to recognize when AI solutions are producing poor quality outputs. The report suggests that the training budget for AI should be around 40% of the total AI budget.

AvePoint offers data points from the survey along with recommendations for organizations looking to embark on their AI journey.