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SwedCham APAC Online: Unpacking Why 80+% of AI Projects Fail and What To Do About It

Fri 22 May

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Online

SwedCham APAC Online: Unpacking Why 80+% of AI Projects Fail and What To Do About It
SwedCham APAC Online: Unpacking Why 80+% of AI Projects Fail and What To Do About It

Date and Venue

22 May 2026, 09:00 โ€“ 10:00

Online

About the event

๐—”๐—œ ๐—ฐ๐—ผ๐—ป๐˜๐—ถ๐—ป๐˜‚๐—ฒ๐˜€ ๐˜๐—ผ ๐˜๐—ฟ๐—ฎ๐—ป๐˜€๐—ณ๐—ผ๐—ฟ๐—บ ๐—ต๐—ผ๐˜„ ๐—ผ๐—ฟ๐—ด๐—ฎ๐—ป๐—ถ๐˜€๐—ฎ๐˜๐—ถ๐—ผ๐—ป๐˜€ ๐—ผ๐—ฝ๐—ฒ๐—ฟ๐—ฎ๐˜๐—ฒ โ€“ ๐—ฏ๐˜‚๐˜ ๐˜„๐—ต๐˜† ๐—ฑ๐—ผ ๐˜€๐—ผ ๐—บ๐—ฎ๐—ป๐˜† ๐—ฝ๐—ฟ๐—ผ๐—ท๐—ฒ๐—ฐ๐˜๐˜€ ๐—ณ๐—ฎ๐—ถ๐—น ๐˜๐—ผ ๐—ฑ๐—ฒ๐—น๐—ถ๐˜ƒ๐—ฒ๐—ฟ ๐—ผ๐—ป ๐˜๐—ต๐—ฒ๐—ถ๐—ฟ ๐—ฝ๐—ฟ๐—ผ๐—บ๐—ถ๐˜€๐—ฒ?ย 

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At times, the fields of artificial intelligence, business analytics, and data science are subject to extreme hype โ€“ including exaggerated promises of future technologies and extravagant claims of transforming the lives of consumers. These claims risk an erosion of trust in the data-driven approach to decision making and business transformation. This presentation offers a balanced perspective โ€“ acknowledging the future possibilities and tempering the hype that many data science projects fail to achieve their stated aims โ€“ perhaps as many as 80 percent โ€“ is the basic premise of the presentation. The presenter will share his learnings based on decades of real-world experience at leading organisations worldwide as well as years of thorough research on why data science projects fail and how to make them a success. There are lessons that all practitioners of business analytics and data science can learn from their experiences, and strategies that firms should adopt to maximise their return on their AI and analytics investments.ย 

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Join us for a virtual session exploring the realities behind AI and data-driven transformation. While the potential of AI is widely recognised, many initiatives fall shortโ€”often due to overhype, misalignment, or lack of practical implementation strategies.ย 

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In this session, ๐——๐—ฟ ๐—˜๐˜ƒ๐—ฎ๐—ป ๐—ฆ๐—ต๐—ฒ๐—น๐—น๐˜€๐—ต๐—ฒ๐—ฎ๐—ฟ, ๐—ฃ๐—ฟ๐—ถ๐—ป๐—ฐ๐—ถ๐—ฝ๐—ฎ๐—น ๐—ฎ๐˜ ๐—•๐—ผ๐˜€๐˜๐—ผ๐—ป ๐—–๐—ผ๐—ป๐˜€๐˜‚๐—น๐˜๐—ถ๐—ป๐—ด ๐—š๐—ฟ๐—ผ๐˜‚๐—ฝ ๐—ซ (BCGโ€™s Data Science and AI division), will share insights from decades of global experience and research, unpacking why up to 80% of AI and data science projects failโ€”and what organisations can do differently to succeed. The discussion will be led by ๐—”๐—น๐—ฑ๐—ผ ๐—š๐˜‚๐˜๐—ถ๐—ฒ๐—ฟ๐—ฟ๐—ฒ๐˜‡, ๐——๐—ถ๐—ฟ๐—ฒ๐—ฐ๐˜๐—ผ๐—ฟ ๐—ผ๐—ณ ๐——๐—ฎ๐˜๐—ฎ ๐—”๐—ฑ๐˜ƒ๐—ถ๐˜€๐—ผ๐—ฟ๐˜†, ๐—”๐—ป๐—ฎ๐—น๐˜†๐˜๐—ถ๐—ฐ๐˜€ & ๐—”๐—œ ๐—ฎ๐˜ ๐— ๐—ฐ๐—š๐—ฟ๐—ฎ๐˜๐—ต๐—ก๐—ถ๐—ฐ๐—ผ๐—น.ย 

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๐—ช๐—ต๐—ฎ๐˜ ๐˜†๐—ผ๐˜‚ ๐˜„๐—ถ๐—น๐—น ๐—ด๐—ฎ๐—ถ๐—ป:ย 

โžค A realistic perspective on AI beyond the hypeย 

โžค Key reasons why AI and data science projects failย 

โžค Practical strategies to improve success rates and ROIย 

โžค Lessons from real-world implementations across industriesย 

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๐—ง๐—ต๐—ถ๐˜€ ๐—ฒ๐˜ƒ๐—ฒ๐—ป๐˜ ๐—ถ๐˜€ ๐—ผ๐—ฟ๐—ด๐—ฎ๐—ป๐—ถ๐˜€๐—ฒ๐—ฑ ๐—ฏ๐˜† ๐˜๐—ต๐—ฒ ๐—ฆ๐˜„๐—ฒ๐—ฑ๐—ถ๐˜€๐—ต ๐—”๐˜‚๐˜€๐˜๐—ฟ๐—ฎ๐—น๐—ถ๐—ฎ๐—ป ๐—–๐—ต๐—ฎ๐—บ๐—ฏ๐—ฒ๐—ฟ ๐—ผ๐—ณ ๐—–๐—ผ๐—บ๐—บ๐—ฒ๐—ฟ๐—ฐ๐—ฒ (๐—ฆ๐—”๐—–๐—–) ๐—ถ๐—ป ๐—ฐ๐—ผ๐—น๐—น๐—ฎ๐—ฏ๐—ผ๐—ฟ๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐˜„๐—ถ๐˜๐—ต ๐˜๐—ต๐—ฒ ๐—ฆ๐˜„๐—ฒ๐—ฑ๐—ถ๐˜€๐—ต ๐—–๐—ต๐—ฎ๐—บ๐—ฏ๐—ฒ๐—ฟ๐˜€ ๐—ถ๐—ป ๐—”๐—ฃ๐—”๐—–ย 

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๐—˜๐˜ƒ๐—ฒ๐—ป๐˜ ๐——๐—ฒ๐˜๐—ฎ๐—ถ๐—น๐˜€:ย 

๐Ÿ“… ๐——๐—ฎ๐˜๐—ฒ: Friday, 22 May 2026ย 

โฐ ๐—ง๐—ถ๐—บ๐—ฒ: 09:00 โ€“ 10:00 hrsย 

๐Ÿ“๐—ฉ๐—ฒ๐—ป๐˜‚๐—ฒ: Onlineย ย 

๐Ÿ‘‰ ๐—ฅ๐—ฒ๐—ด๐—ถ๐˜€๐˜๐—ฒ๐—ฟ: Free for SweCham and SACC Membersย ย 

15 AUD for Non Membersย ย 

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This is an online event. Login details will be sent to registered participants prior to the event.ย ย 

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