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In Ten Years: The Future of AI and ML

what can we do today that we couldn’t do 10 years ago? And what does the future look like from here?
In Ten Years: The Future of AI and ML

When you take a minute to stop and look around, the technological advancements of today could be perceived as something out of a futuristic novel. Cars are learning to drive, hands-free devices can turn on your lights or toast your bread, and flying drones are circling the skies.While the manifestation of Artificial Intelligence (AI) and Machine Learning (ML) haven’t been realized, impressive progress has certainly been made.

In 10 years, AI/ Machine Learning will…

Here's are the tech experts

1) Increase security

"Drones are going to change the way we live. I think of drones now as the equivalent of what phones were in the 90’s. Drones open up the ability to transport things through the air over short distances and in complex spaces, which is just not something we have another solution for today. Whether that’s package delivery, or emergency response, or delivering medical products urgently — all of those things become possible immediately. One of the amazing things about drones is that they fly. The idea that you can have something routinely inspect places that are hard to look at will make our world dramatically safer.” - Nicholas Horbaczewski, CEO & Founder at the Drone Racing League

2) Generate new services (and potentially social issues)

"Artificial intelligence really means the extension of our ability to solve problems and to generate new ideas. It’s quite possible that 10 years will get us to an inflection point, after which we will see advancement at an unprecedented rate. AI and robotics will have been assimilated into business operations and will be having a major impact on efficiency in organizations. Entirely new AI-based products and services will have created new consumer and industrial markets. At the same time, AI will bring along new challenges, perhaps most importantly increasing inequality and possibly unemployment as routine, predictable types of work are automated.” - Martin Ford, Futurist & NY Times bestselling author of Rise of the Robots

3) Empower businesses

“The consumer-facing applications of AI and ML feel stuck to me, relegated to doing what humans can already do or, more critically, only what we trust them to do. Over the next ten years, I think we’ll start seeing trust barriers decrease, and as a result, dependence on AI powered algorithms and machines will increase. We started learning this lesson years ago building our consumer applications. If you’re going on a trip to Paris, for example, you’d trust almost anything your friend recommends, even if they’d only been to Paris once for a short trip, just because they said so. In the same situation, we use sophisticated ML techniques to deliver extremely personalized recommendations — but algorithms don’t get the benefit of trust like a friend. In order to gain user trust, we had to try and explain the what the AI ‘thought,’ which defeats the power of it.” - Matthew Kamen, SVP of Engineering at Foursquare

4) Improve healthcare

“When it comes to healthcare, there’s a lot machines can do to help the doctor. I don’t see a future where we actually don’t have doctors guiding, but a lot of the busy work doctors have to do is better done using artificial intelligence. If you think about a doctor’s career, thirty or forty years, the number of patients you can see during that time period is very limited. Many doctors are burnt out, overworked — it’s a serious issue. They also don’t have time to keep themselves up to date on the most recent research, treatment techniques, and advancements in medication. Machines can play a very important role here. Artificial intelligence can access a much larger set of patient data of how they were treated and what the outcomes were. You can imagine machines being in a much better position, because machines can start doing the busy work around the diagnosis and humans can actually interact with the patient and work with artificial intelligence to improve outcomes. That, in my mind, is super exciting.” - Serkan Kutan, CTO at Zocdoc

5) Facilitate sustainability

“Artificial intelligence is going to impact every single industry and everything that we do. On a bigger level, areas like sustainability, climate change, environmental issues — they are becoming more at the forefront of everybody’s minds as we move more into the 21st century and think about the huge challenges we need to tackle like population increases, urbanization, and energy. There’s so many different areas within urbanization that touch on city planning. We can do that much more efficiently once we can track the movements of residents within cities, and once we can map which areas we can use to improve the density of cities. In the AI floodgates conversation, I’ve seen in the past six months or so a lot more companies wanting to focus on AI instead of just thinking about the quick goals of making workloads and businesses more efficient. If we look at the bigger picture of AI for good, then it connects us with more purpose and meaning.” -Nikita Johnson, Founder of RE.WORK

Source: https://medium.com/foursquare-direct/in-ten-years-the-future-of-ai-and-ml-fa68a527f378