15 Deploying Artificial Intelligence ^Top full potential of human-machine interaction.29 Accenture found that using this three-pronged approach could double the probability of achieving a tenfold improvement in key performance indicators (KPIs). After using smart machines to focus on airplane maintenance for years, GE progressed to using predictive analytics to replace the existing processes and drive greater improvements. It now makes real-time predictions on which engines should be fixed and by what kind of technician, thus unlocking the full potential for human-machine interaction.30 When radical innovations seem like moon shots, organizations can explore reimagining work processes instead of limiting themselves to automation. Quick wins and case studies can provide the required motivation among teams to identify use cases that can benefit with more advanced AI solutions. pitfall #4: striving for the shiniest algorithm rather than aiming for impact. While transformation has to be the vision, falling for the allure of perfection- ism can create high opportunity costs. A classic case is IBM’s Watson for Oncology, which took years to take off because feeding massive amounts of diagnostic data about all cancers was a gigantic task, and interpreting handwritten doctor notes and acronyms complicated it further; when finally launched, its treatment recommendations weren’t efficacious outside the U.S. since both prevalence and treatments of cancers differ dramatically global- ly.31 To avoid disastrous and expensive results, goals should be bite-size and 29 Paul Daugherty and H. James Wilson, “Process Reimagined: Together, people and AI are reinventing business processes from the ground up,” Accenture Research, 2018, https://www.accenture.com/_acnmedia/PDF-76/Ac- centure-Process-Reimagined.pdf#zoom=50. 30 Daugherty and Wilson, “Process Reimagined,” 2018. 31 Thomas C. Redman, “If Your Data Is Bad, Your Machine Learning Tools Are Useless,” Harvard Business Review, April 2, 2018, https://hbr.org/2018/04/if-your-data-is-bad-your-machine-learning-tools-are-useless. Jeff Catlin, “How To Underwhelm With Artificial Intelligence,” Forbes: Forbes Technology Council, March 20, 2018, https://www.forbes.com/sites/forbestechcouncil/2018/03/20/how-to-underwhelm-with-artificial-intelligence/. Casey Ross and Ike Swetlitz, “IBM pitched its Watson supercomputer as a revolution in cancer care. It’s nowhere close,” Stat News, September 5, 2017, https://www.statnews.com/2017/09/05/watson-ibm-cancer/.