AI bubble burst

Good one, Mar 2019 article but still relevant - AI Read
Key Points

• “In 40 percent of cases, we could find no mention of evidence of AI"
• “Companies that people assume and think are #AI companies are probably not.”
• "AI catnip to investors"

Everything starts with Data, Domain, and Value-driven use cases. AI comes after good Domain and Data Knowledge. AI is a value addition on top of the existing insights. 

• Today - How is my business doing (Transactional Reports)
• How was my product sale X for last 3 months (BI Reports)
• What sells together with X (Apriori /Recommendation)
• How much I can forecast to purchase those items together based on previous historical data (Forecasting)

Everything needs to sum up to align with Data Story, Value addition to business. Without right use cases/ quality data, whatever we demo with sample data /deep networks, we will never succeed in the real world #intelligence #artificialintelligence #perspectives. Cool AI demos != Cool Real-world Implementation.

Happy Thinking!!!