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What is AI(Artificial Intelligence)?


What is AI(Artificial Intelligence)?

AI technology has moved from science fiction to business fact. To meet today’s challenges and prepare for the future, you need AI solutions that integrate with your infrastructure and data strategy.

Science fiction movies have been warning us for decades that artificial intelligence (AI) is going to rise up and take over the world. As it turns out, those movies were right; AI is poised to take over the world.

More accurately, the organizations that are able to adopt, implement and maintain AI as a part of their business model will have a competitive edge in the marketplace. Fortunately, accomplishing this may be easier than you think.

There are still many people who think of AI as a technology of the future, but the truth is that AI is already here as a part of our daily lives. Tools we take for granted like Siri, Alexa, predictive text, and even certain calendar reminders and GPS functions contain elements of AI. Essentially, AI is likely just an extension of the ways in which you’re already working with analytics to solve your business problems by aligning data and utilizing new capabilities.

In short, AI has already changed the world, and unless you want to be left behind, your organization needs to start planning today for how you’re going to leverage AI in the future. As it happens, getting started is actually quite easy. Taking simple steps towards AI now will position you to readily and confidently make bigger changes down the line.

Graham MackIntosh is a pioneer in the field of advanced analytics, working as an AI consultant for NASA and the SETI Institute. Hear how NASA is using AI to understand solar events, detect failures and expand our understanding of the universe. And discover lessons learned that you can apply to future work involving machine learning and big data.

Marcelo Labre is an executive director and AI evangelist at Morgan Stanley. He discusses the need to break through points of resistance to machine learning by demonstrating the advantages of applying AI to real problems within the financial industry, healthcare, consumer analytics and more.


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