Intelligent Automation Quotes

“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

“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

“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

“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