If you’ve ever seen a human heart stop and leave, repair and return to the body, I want to tell you it’s scary to see. Every second counts, every decision, every surgical movement, the exact balance of blood circulation and anesthesia is adapted into a musical symphony. But what really caught my attention was when one of the doctors introduced me to a new information technology called an “expert system”.

This was the year 1995 when I had my first exposure as a founder of setting up a health information system Artificial intelligence watching open heart surgery at Dartmouth – Hitchcock Medical Center. The system used historical data on actual surgical procedures as well as data on patient health and real-time vital signs to derive (justify) the best techniques that physicians can use in this complex, life-saving surgery. Artificial intelligence did not tell physicians what to do, but guided them to optimal choices that produced measurably better patient outcomes.

Although primitive in comparison Artificial intelligence solutions today, the app amazed me. I found that computers were not just about automating manufacturing or increasing business productivity. I saw the machine except the tables data. I saw a “thinking machine” pick up insights based on the data and predict the future. My artificial voice connected the points forward. The real value of computers would be to form data into information that predicted, even shapes the future. As a teenager, I was fascinated by the French astrologer Nostradamus, best known for his book Les Prophéties, a collection of 942 poetic quatrains that are supposed to predict future events. Artificial intelligence was a continuation of Nostradamus’ predictions in another form.

In 1996, I discovered the Open Agent Architecture (OAA), which is being developed at the SRI International Artificial Intelligence Center as part of an effort to develop intelligent digital personal assistants. The OAA used advanced natural language processing (NLP) and machine learning (ML) techniques to answer questions, make recommendations, and take action by delegating requests to a set of agent-based Internet services. I think the OAA developed the idea of ​​expert systems.

I agreed to an R&D partnership with SRI. The mobile wave was under construction, and I thought of OAA on every mobile device, activating marine mobile applications. I was ten years too early (it has a lesson). OAA became the foundation of Sir, which was released as an iOS app in February 2010 and acquired by Apple two months later.

Big Data jobs

I joined Microsoft Corporation in 1997 to lead early work Artificial intelligence and mobile. Later, I led the information management business, immersed in data and ontological science, and wrote my first book, Collective information, on. Joining Microsoft’s M&A team in 2005, I began exploring the inherent potential of data-driven innovation and investment. That’s another story …

In one way or another, all of these experiences were based on my interest in artificial intelligence.

Artificial intelligence, capable of analyzing much more information than man and making better, quick decisions, is at the heart of almost any major solution to many of our planet’s problems, particularly climate change. From a long promise, artificial intelligence is finally maturing. It has the ability to seek and find information and make informed predictions about the complex, multidimensional problems that affect our existence. It is the only approach that can address issues as wide-ranging as climate, health crises, and other threats that humanity can pose, or Mother Nature can throw at us.


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