About the talk
Allie Miller is an expert on artificial intelligence and the US head of AI business development for startups and venture capital at Amazon.
Last month, she was recognized as the Innovator of the Year at the AIconics Awards in San Francisco – the event celebrating the outstanding achievements of individuals, projects, teams and organizations that are responsible for harnessing breakthrough innovations in AI.
Keep up-to-date with all the latest AI news and insight at http://www.aibusiness.com
Welcome to add does a TD here from the AI Summit San Francisco 2019. I'm very pleased to have with us today at Lee Miller from AWS Kylie. How are you? I first would like to congratulate you on your big win a couple of months ago at the iconic Duos. Thank you for 2500 people call Cathy Barton in this category and how does it feel ridiculous? You know, I was surrounded by some of the best folks in the start of Enterprise best individuals and I think my first overwhelming feeling was just awesome and honor
it just felt really nice to be included in a group and then of course, you know all that information to being able to sing. About our future in about the trust and optimism in that future. Just looking at those individuals you realize we're in good hands and then I think the last piece that just really sunk in right as I was walking up the stairs with other gratitude. You can realize how many people have taken a chance on you have said yes when no is so much easier to say and as you're walking up here just like I need to scream the
hundred names that I wanted to hang from the rooftops. So I've been slowly writing. Thank you email to everyone got me where I am today across social media. Even on Friday at the advanced. Everybody has a feedback PCS phenomenal in the in the Pew. So, yeah, congratulations again about things like that and I kind of looking back at I kind of your kind of Korean. I studied cognitive science in college and I think that kind of chick started my love of human thinking and how do we as
humans thinks your decisions? What makes sense? What does it make sense? And I've always had that lens of the world. I study computer science psychology Linguistics and it is a really nice Technical and non-technical lead into a I I ended up really wanting to get into Tech in the eye because of the impact. I've been wanting that strikes me so much about AI machine learning is on the one hand is incredibly Technical and then you got this other side, which is humanistic and left
brain right brain really succeed in Ai and I've been able to leverage my computer science background along with this relationship building and ux and design and marketing. To be able to combine and say what is the future of AI where we going and halfway make it back. When one of the most recognizable today in Tekken Ateneo, how are you staying a conversation of Volvo around kind of gender equality and women in Tech in general and how do you see the landscape today? What what more can be done really felt
like women getting more involved in taking the traffic Technologies today? Thank you for incredibly important. There are two parts of diversity and inclusion that I see and on the one side, you've got education and empowerment then the other side of opportunity and inclusion education empowerment side every day in and out of Amazon. I was named an ambassador for dancing women in Toronto. Which is an organization of over 10,000 women and Technical rules. I was recently named an ambassador for the American Association for the advancement of science where they named
them as Pioneers across the country to be role models to be visible to inspire young girls in middle school to get involved in stem. And so that is really what I do on that kind of further education empowerment getting young women involved being that visible Role Model A woman doing that. Why would you believe that you could and it's a horrible facts, but then we have to think about it song about the other side is is opportunity and inclusion and from my view that is a critical conversation to have everyone involved.
When you only have the underrepresented group talking about inclusion, you can only go so far and it becomes a conversation of men and women of young and less young and LGBT and everyone to say, how are we going to advance this and what opportunities are we going to create and so at Amazon in a we learn and innovate all the time on technology and it's no different as it relates to the first an inclusion and I'm lucky enough to not only be a woman leader but to look around it's none of our business line seeing women leading to that Tony Reed who runs Alexa experiences with Worldwide
public sector Cindy Carter who is another nominee for 8 hours and it's so inspiring to be able to look around and see people like me knowing that we can Inspire the next thousands and millions of the rise up and become women in tech store for the next generation of them. You know one thing that I really stand for and ruthlessly talk about everyday is his idea that change and Innovation can come from anywhere and as I mentioned like machine learning is so so technical but it has this
softer side of humanistic side. And so while machine learning needs machine learning Engineers data scientist kid sees we just as much need designers marketers Finance legal men women LGBT everyone involved AI needs everyone and I wish that everyone would feel inspired to say I'm interested in that space. I can do it and I'm going to do it right what will let's talk about what's next then a lot of kind of predictions around Hawaii. As soon as I was going to save up in the next year or two years
where to see the these cases lying kind of way to see the investment being taste of what are you going to see if the In the next year or two and so is the question like what what is the future of AI? When are when are we going to see, you know, the Vincent's in machine learning and deep-learning? There's kind of 4 theme that really pop out and year after year. You can kind of see what ticks we've been able to make these for so those four categories. What's the bility customizability
performance and accessibility of coyote and Robotics being able to have the device itself do the AI do the machine learning and inferencing on the edge in the phrase in the world of customizability might not even have machine learning capabilities in house are suddenly able to leverage their own data building hyper customize and see my models. That are able to perform a much higher accuracy because of trains on their own data. And so that customizability is being able to train natural language processing. It's amazing to be able to see now
what started the Enterprise clients are able to do on their own on performance. I mean, it's unreal what we're seeing in the world of natural language processing from GPT to it is incredible to read white papers coming out daily and to look at her ass and see what innovators are doing. And that's something that you know every week. I try and read at least one light. And the last Witch is what is most near and dear to my heart is accessibility. I think within that this kind of ties back for other topic of inclusion, which is Machine learning is so highly technical.
But how can we Empower even more people even more users Designers Market or his sales people to be able to leverage machine learning in their business and be able to say AI is for all AI is for everyone. How can you bring that value into your business and be able to drive real change maybe without that machine? Lots of fluids are in a lot on the rides.
Buy this talk
Access to all the recordings of the event
Buy this video
With ConferenceCast.tv, you get access to our library of the world's best conference talks.