Applied Artificial Intelligence Quotes

“In most cases, having and using a fantastic machine learning algorithm is less important than deploying a well-designed user experience (UX) for your products.”
― Mariya Yao, Applied Artificial Intelligence: An Introduction For Business Leaders

“Amazon’s Jeff Bezos calls our modern times the “golden age” of AI,”
― Mariya Yao, Applied Artificial Intelligence: An Introduction For Business Leaders

“designers will lead the tool, not the other way around.”
― Mariya Yao, Applied Artificial Intelligence: An Introduction For Business Leaders

“Some futurists hypothesize that we may be able to achieve superhuman intelligence by augmenting biological brains with synthesized technologies,”
― Mariya Yao, Applied Artificial Intelligence: An Introduction For Business Leaders

“companies claiming to have AI are really just using Systems That Act, or rule-based mechanisms that are incapable of dynamic actions or decisions.”
― Mariya Yao, Applied Artificial Intelligence: An Introduction For Business Leaders

“In bucketing, you train multiple models for a given problem and dynamically choose the best one for each specific input.”
― Mariya Yao, Applied Artificial Intelligence: An Introduction For Business Leaders

“Machine learning enables computers to learn without being explicitly programmed.”
― Mariya Yao, Applied Artificial Intelligence: An Introduction For Business Leaders

“Executives alone cannot bring about organizational change, especially of the magnitude that AI can potentially make across an enterprise and industry. Some of your most important stakeholders are your front-line employees and middle managers who will be integrating, using, and overseeing AI tools every day.”
― Mariya Yao, Applied Artificial Intelligence: An Introduction For Business Leaders

“A common pattern observed in both academia and industry engineering teams is their propensity to optimize for tactical wins over strategic initiatives. While brilliant minds worry about achieving marginal improvements in competitive benchmarks, the nitty-gritty issues of productizing and operationalizing AI for real-world use cases are often ignored. Who cares if you can solve a problem with 99 percent accuracy if no one needs that problem solved? What’s the utility of a tool whose purpose is so arcane that no one is sure what problem it was trying to solve in the first place?”
― Mariya Yao, Applied Artificial Intelligence: An Introduction For Business Leaders

“Because we are Systems That Master, humans have no trouble with this. A System That Masters is an intelligent agent capable of constructing abstract concepts and strategic plans from sparse data. By creating modular, conceptual representations of the world around us, we are able to transfer knowledge from one domain to another, a key feature of general intelligence.”
― Mariya Yao, Applied Artificial Intelligence: An Introduction For Business Leaders

“most companies claiming to have AI are really just using Systems That Act, or rule-based mechanisms that are incapable of dynamic actions or decisions.”
― Mariya Yao, Applied Artificial Intelligence: An Introduction For Business Leaders

“MIT Probabilistic Computing Project7 for recommended readings and tutorials.8”
― Mariya Yao, Applied Artificial Intelligence: An Introduction For Business Leaders

“While the research and applications are in its early days, many experts see probabilistic programming as an alternative approach in areas where deep learning performs poorly, such as concept formulation using sparse or medium-sized data. Probabilistic programs have been used successfully in applications such as medical imaging, machine perception, financial predictions, and econometric and atmospheric forecasting.”
― Mariya Yao, Applied Artificial Intelligence: An Introduction For Business Leaders

“In particular areas machines have superhuman performance, but in terms of general intelligence we’re not even close to a rat.”
― Mariya Yao, Applied Artificial Intelligence: An Introduction For Business Leaders