Deployment of artificial intelligence is still seeing lots of challenges, as businesses struggle to integrate it properly, according to Lux Research in a new report.
AI has come a long way in the past five years, as new frameworks, platforms, and providers have launched to help businesses deploy successfully. However, there is still a lack of understanding of AI’s benefits, which AI to choose, and whether it’s necessary at all.
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In the report, Lux highlights four major factors for successful integration:
- A clear understanding of implementation outcomes
- A focus on AI capabilities rather than marketing
- Knowledge of AI maturity and risk mitigation
- Understanding challenges after deployment, such as review and maintenance
“This report aims to arm companies with a framework to cut through buzzworthy marketing and accurately assess AI’s capabilities as they relate to their business needs,” said Cole McCollum, Lux’s lead analyst on the report.
“Only then can companies make judgments on the maturity level of any particular product and fully understand the challenges inherent in implementing and maintaining these cutting-edge technologies. No investment is risk-free, but following this framework will help avoid costly mistakes.”
Several reports conducted last year pointed to the lack of expertise in businesses that have deployed or are looking to deploy AI. It is one of the main reasons for integration failure, alongside poor data quality and governance, according to Gartner.
A lack of understanding of end results goes hand-in-hand with a lack of expertise. Clearly, the industry needs to have a more level-headed approach to deployment, alongside business leaders going on crash courses or bringing in AI experts before spending money on programs.
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