Nand Kishor is the Product Manager of House of Bots. After finishing his studies in computer science, he ideated & re-launched Real Estate Business Intelligence Tool, where he created one of the leading Business Intelligence Tool for property price analysis in 2012. He also writes, research and sharing knowledge about Artificial Intelligence (AI), Machine Learning (ML), Data Science, Big Data, Python Language etc... ...
Full BioNand Kishor is the Product Manager of House of Bots. After finishing his studies in computer science, he ideated & re-launched Real Estate Business Intelligence Tool, where he created one of the leading Business Intelligence Tool for property price analysis in 2012. He also writes, research and sharing knowledge about Artificial Intelligence (AI), Machine Learning (ML), Data Science, Big Data, Python Language etc...
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Lessons learned from Google's application of artificial intelligence to user experience
- "Don't expect machine learning to figure out what problems to solve"
- "Ask yourself if machine learning will address the problem in a unique way"
- "Fake it with personal examples and wizards" (Ask participants at user research sessions to test with their own data.)
- "Weigh the costs of false positives and false negatives" (Determine what errors are most impactful to users)
- "Plan for co-learning and adaptation"
- "Teach your algorithm using the right labels" (The system needs to be trained to be able to answer the question "Is there a cat in this photo?")
- "Extend your UX family, machine learning is a creative process" (Machine learning isn't just for engineers, everyone needs to get involved.)
- In his latest update, Lovejoy expresses some universal truths the Google teams have learned and now adhere to in the process of using AI to produce superior UX: