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AI is reshaping industries and daily life

AI is reshaping industries and daily life
AI is reshaping industries and daily life

Rob Wray, a serial entrepreneur and tech visionary, believes that artificial intelligence is transforming industries, organizations, and everyday life.

Wray has founded and led three technology companies, setting the vision for and scaling product strategies across complex industries such as healthcare, telematics, online communities, e-commerce, IT, logistics, and data science. His most recent company, WBX, raised $55 million in venture capital, grew to over 500 employees across three states, and became a market leader in e-commerce.

Today, Wray is channeling his expertise into harnessing AI technology in innovative ways. “If you’re someone who dislikes change, the coming months may feel like a bumpy ride,” Wray says. “Artificial Intelligence is reshaping how we live, work, and even how we search for cheese fondue recipes.

There’s no turning back—AI is here to stay. Instead of resisting, it’s time to embrace and understand the immense possibilities these new tools offer.”

Wray believes that if you’re a lifelong learner, you shouldn’t miss the opportunity to join the conversation and have your mind blown by the potential of AI. However, not everyone shares Wray’s enthusiasm for AI.

Christopher Beha, a novelist and memoirist who has written extensively about books and writers, believes that the emergence of machine learning will be merely a major technological transformation and not a world historical event.

AI’s impact on industries and lives

Beha argues that the root of the worry about AI is not an overestimation of technology but a radical underestimation of humanity.

He believes that the obsolescence of human culture will almost certainly not come to pass, despite the promises made by AI proponents. John Halamka, president of the Mayo Clinic Platform, advises current and aspiring AI leaders to proceed carefully when implementing AI initiatives. “We say start small, think big, and move fast,” Halamka states.

“At Mayo, our approach has been to take our 85,000 employees and say, ‘what problem do you want to solve?’ and then look at all the suggestions. That is where we implement and measure and watch to see what works and not. And then we’ll go very fast.”

Halamka urges AI proponents to exercise caution in selecting initial use cases and to look beyond traditional measures or thinking when it comes to seeking use cases for AI.

“Values need to be aligned,” he emphasizes. “I ask clinicians, ‘do you want more AI?’ They say, ‘well no, what I want is to get home for dinner. I want a quality of proactive life, so I can practice on top of my license.'”

In conclusion, while the potential benefits of AI are enticing, moving forward with a calculated and measured approach is crucial for long-term success.

Leaders should focus on solving real problems, ensuring alignment with values, and carefully managing the risks associated with new technologies.

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