SwedCham APAC Online: Unpacking Why 80+% of AI Projects Fail and What To Do About It
Fri 22 May
|Online


Date and Venue
22 May 2026, 09:00 โ 10:00
Online
About the event
๐๐ ๐ฐ๐ผ๐ป๐๐ถ๐ป๐๐ฒ๐ ๐๐ผ ๐๐ฟ๐ฎ๐ป๐๐ณ๐ผ๐ฟ๐บ ๐ต๐ผ๐ ๐ผ๐ฟ๐ด๐ฎ๐ป๐ถ๐๐ฎ๐๐ถ๐ผ๐ป๐ ๐ผ๐ฝ๐ฒ๐ฟ๐ฎ๐๐ฒ โ ๐ฏ๐๐ ๐๐ต๐ ๐ฑ๐ผ ๐๐ผ ๐บ๐ฎ๐ป๐ ๐ฝ๐ฟ๐ผ๐ท๐ฒ๐ฐ๐๐ ๐ณ๐ฎ๐ถ๐น ๐๐ผ ๐ฑ๐ฒ๐น๐ถ๐๐ฒ๐ฟ ๐ผ๐ป ๐๐ต๐ฒ๐ถ๐ฟ ๐ฝ๐ฟ๐ผ๐บ๐ถ๐๐ฒ?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 shortโoften due to overhype, misalignment, or lack of practical implementation strategies.ย
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In this session, ๐๐ฟ ๐๐๐ฎ๐ป ๐ฆ๐ต๐ฒ๐น๐น๐๐ต๐ฒ๐ฎ๐ฟ, ๐ฃ๐ฟ๐ถ๐ป๐ฐ๐ถ๐ฝ๐ฎ๐น ๐ฎ๐ ๐๐ผ๐๐๐ผ๐ป ๐๐ผ๐ป๐๐๐น๐๐ถ๐ป๐ด ๐๐ฟ๐ผ๐๐ฝ ๐ซ (BCGโs 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 failโand what organisations can do differently to succeed. The discussion will be led by ๐๐น๐ฑ๐ผ ๐๐๐๐ถ๐ฒ๐ฟ๐ฟ๐ฒ๐, ๐๐ถ๐ฟ๐ฒ๐ฐ๐๐ผ๐ฟ ๐ผ๐ณ ๐๐ฎ๐๐ฎ ๐๐ฑ๐๐ถ๐๐ผ๐ฟ๐, ๐๐ป๐ฎ๐น๐๐๐ถ๐ฐ๐ & ๐๐ ๐ฎ๐ ๐ ๐ฐ๐๐ฟ๐ฎ๐๐ต๐ก๐ถ๐ฐ๐ผ๐น.ย
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๐ช๐ต๐ฎ๐ ๐๐ผ๐ ๐๐ถ๐น๐น ๐ด๐ฎ๐ถ๐ป:ย
โค A realistic perspective on AI beyond the hypeย
โค Key reasons why AI and data science projects failย
โค Practical strategies to improve success rates and ROIย
โค Lessons from real-world implementations across industriesย
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๐ง๐ต๐ถ๐ ๐ฒ๐๐ฒ๐ป๐ ๐ถ๐ ๐ผ๐ฟ๐ด๐ฎ๐ป๐ถ๐๐ฒ๐ฑ ๐ฏ๐ ๐๐ต๐ฒ ๐ฆ๐๐ฒ๐ฑ๐ถ๐๐ต ๐๐๐๐๐ฟ๐ฎ๐น๐ถ๐ฎ๐ป ๐๐ต๐ฎ๐บ๐ฏ๐ฒ๐ฟ ๐ผ๐ณ ๐๐ผ๐บ๐บ๐ฒ๐ฟ๐ฐ๐ฒ (๐ฆ๐๐๐) ๐ถ๐ป ๐ฐ๐ผ๐น๐น๐ฎ๐ฏ๐ผ๐ฟ๐ฎ๐๐ถ๐ผ๐ป ๐๐ถ๐๐ต ๐๐ต๐ฒ ๐ฆ๐๐ฒ๐ฑ๐ถ๐๐ต ๐๐ต๐ฎ๐บ๐ฏ๐ฒ๐ฟ๐ ๐ถ๐ป ๐๐ฃ๐๐ย
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๐๐๐ฒ๐ป๐ ๐๐ฒ๐๐ฎ๐ถ๐น๐:ย
๐ ๐๐ฎ๐๐ฒ: Friday, 22 May 2026ย
โฐ ๐ง๐ถ๐บ๐ฒ: 09:00 โ 10:00 hrsย
๐๐ฉ๐ฒ๐ป๐๐ฒ: Onlineย ย
๐ ๐ฅ๐ฒ๐ด๐ถ๐๐๐ฒ๐ฟ: 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
