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“We can now quickly create and test machine learning systems, adapt them on the fly, and perform large-scale A/B tests in real time. The underlying science that powers machine learning and cluster computing in technologies like Spark and Tensorflow makes these capabilities accessible to everyone. ”
“The key to moving from a good data scientist to a great one goes well beyond technical knowledge. Instead, the more advanced you get in your career, the more essential it becomes to be able connect and synthesize ideas from elsewhere.”
“The biggest change in entrepreneurship will be a consequence of the speed at which companies can now scale. This hypergrowth mode has never before been possible.”
“AI systems can quickly allow airlines to determine if there is an opportunity to positively intervene in the customer journey and turn a poor experience into a delightful one. It also allows companies to react faster in a synchronized, aligned way that is on-brand and consistent with the business’s values.”
“Before starting an AI project, businesses should do an readiness assessment and audit of their data collection and usage: what teams are using various data streams, how frequently, what are they using it for, and what decisions are being made as a result”
“If a team can’t get executives to buy into their work, it’s often more to do with trouble communicating the business case than a real lack of value. If your team has trouble finding a senior leader to champion your work, you might have a communication problem.”