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The case for integrating AI into business processes is ever stronger. Now it’s time to assess realistically what it can do for you. Existing successes and failures of AI beta-phase testing show how to resist the survivorship bias when implementing your own AI programs. Clarify the characteristics of AI data that may be problematic, and discover where investment should be concentrated on further customizing your AI solutions. Compliance with data protection standards remains an open question as both technology and public demand evolves. Over-enthusiasm in future functionality can lead to a misalignment in data storage practices. Inserting intuition into AI systems could create “unexplainable” AI, making it difficult to measure and understand obtained results.
KuppingerCole Analyst Anne Bailey speaks about data management for AI solutions in light of the technology's constantly changing capabilities.
Language: English • Duration: 29:32 • Resolution: 1280x720
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