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The Business Case for AI: A Leader's Guide to AI Strategies, Best Practices & Real-World Applications QUOTES

The Business Case for AI: A Leader's Guide to AI Strategies, Best Practices & Real-World Applications QUOTES

1 " Just as how unconscious bias can seep into algorithms, so can conscious bias. Conscious bias happens when we know we’re being biased toward a particular person or a group of people. Although this is rare in AI, the threat is always there. "

― Kavita Ganesan , The Business Case for AI: A Leader's Guide to AI Strategies, Best Practices & Real-World Applications

2 " Successful AI initiatives start with the right problems, but the right problems don’t necessarily come from your data scientists. They can come from leaders, domain experts, and innovators who sit close to the daily business challenges in your organization. Still, it takes practice to develop the vision for spotting AI opportunities... "

― Kavita Ganesan , The Business Case for AI: A Leader's Guide to AI Strategies, Best Practices & Real-World Applications

3 " The best AI techniques are not the ones most talked about or the most sophisticated; the best AI techniques solve a problem with adherence to business needs and constraints. "

― Kavita Ganesan , The Business Case for AI: A Leader's Guide to AI Strategies, Best Practices & Real-World Applications

4 " Although inefficiencies present themselves in different ways, AI can be a great tool to automate repetitive and time-consuming work where human-level decision-making is involved. "

― Kavita Ganesan , The Business Case for AI: A Leader's Guide to AI Strategies, Best Practices & Real-World Applications

5 " A large corporation may have a big budget. One or two years of not having sufficient work for their full-time data scientists may be a risk worth taking to “test” AI and establish best practices. "

― Kavita Ganesan , The Business Case for AI: A Leader's Guide to AI Strategies, Best Practices & Real-World Applications

6 " Plus, from my experience, for most problems, AI development is the easy part. The hard part? Everything else that goes around it. For example, how do you find the right problems to solve? "

― Kavita Ganesan , The Business Case for AI: A Leader's Guide to AI Strategies, Best Practices & Real-World Applications

7 " The good news is that you can minimize the bias preserved by AI, but this comes as a joint responsibility between leaders, domain experts, and developers. "

― Kavita Ganesan , The Business Case for AI: A Leader's Guide to AI Strategies, Best Practices & Real-World Applications

8 " You can use AI to do unethical things—yes. However, if you think about it, that’s more a function of immoral humans than evil AI. (For example, humans can use AI to make fake videos, easily depicting someone as saying something inflammatory when they didn’t. The AI is just doing what it’s tasked to do.) "

― Kavita Ganesan , The Business Case for AI: A Leader's Guide to AI Strategies, Best Practices & Real-World Applications

9 " Overall, the more ambitious your vision, the more risk and time it can take to see any meaningful results from AI. Plus, some ideas may be so complex that they will never materialize until newer supporting technologies emerge. Ultimately, AI requires long-term commitment and a willingness to adapt with time. "

― Kavita Ganesan , The Business Case for AI: A Leader's Guide to AI Strategies, Best Practices & Real-World Applications

10 " You can use AI to do unethical things—yes. However, if you think about it, that’s more a function of immoral humans than evil AI. "

― Kavita Ganesan , The Business Case for AI: A Leader's Guide to AI Strategies, Best Practices & Real-World Applications

11 " AI can be a great tool to automate repetitive and time-consuming work where human-level decision-making is involved. "

― Kavita Ganesan , The Business Case for AI: A Leader's Guide to AI Strategies, Best Practices & Real-World Applications