У нас вы можете посмотреть бесплатно Cyrus Mistry Keynote in TiECON Midwest 2016 или скачать в максимальном доступном качестве, видео которое было загружено на ютуб. Для загрузки выберите вариант из формы ниже:
Если кнопки скачивания не
загрузились
НАЖМИТЕ ЗДЕСЬ или обновите страницу
Если возникают проблемы со скачиванием видео, пожалуйста напишите в поддержку по адресу внизу
страницы.
Спасибо за использование сервиса ClipSaver.ru
Charlie Langton’s: How do you work for Google- what are you guys looking for? Cyrus Mistry: “Google is looking out for Computer Science people. Bureau of Labor Statistics says that there will be 1 million open computer science jobs within 8 years. The average salary is 70% higher for Computer Science graduates. There are just not enough people doing this.Google tries to be above market cap obviously but for every computer science graduate out there there will be 15 open computing jobs and that is the reason for the higher pay. We look for very flexible young people, Big thinkers and people who are not interested in titles. We don’t care where they work from, every employee should enjoy their life. We want them to love work, enjoy what they do and make good money.” Talking about need for STEM education: It is important to get the children excited about STEM, computer science and engineering. Also the big focus area is to get women interested; to get girls interested in technology- They have the potential and there is enormous opportunities for STEM graduates. Answering to the question from the audience on “VR- HYPE or REAL”, Mistry said Google is certainly investing in VR. I think it is a little early but the good news is that it is the trend for sure but you need to look a little ahead. Find the right applications that are sustainable . Answering to the question - Human brain is the best learning machine and people say that we use only 2% of it. So what makes this machine learning different ? Mistry says- Machine learning is going to surpass the brain is not because it can process much faster but far more importantly it can have access to far more information and it can’t forget any information. These machines can actually learn and you can give them the capacity of entire data centres of information. Machines synthesise all these information together- so I should say they will surpass the human brain. Talking about the biggest challenge in autonomous cars- it is the social causes, getting people and government on board and not the technological aspects. The next big challenge for Google is to stay at the top of the trends and stay relevant. If you look back at the history there is no company that has survived generations and generations. Being able to always be at that breathing edge is very hard and it involves taking lot of risks. At Google we encourage failure and encourage people to fail fast which means we are taking risks.