![]() Alexa is Amazon’s successful voice assistant. In March, Forbes broke some interesting news: at the time, Amazon was hiring more developers for Alexa than Google was hiring altogether. This is how Google shines and differentiates itself from its main 3 competitors: Apple, Amazon and Facebook. Google Assistant took center stage at I/O 2018. Moving forward, product managers should think hard and long about what AI related capabilities and requirements do they need to add to the features of their products.What are you adding to your product that is making it SMARTER? Google Assistant (=voice and speech) Predictive morse typing for accessibilityįrom here on, most sections of the keynote had an AI theme to them.Producing speaker based transcription by “watching” a video’s content.Predicting probability of rehospitalization of a patient in the next 24 hours.Diagnosing diseases by analyzing human retina images in healthcare.It started off with four warm-up feel-good type use cases that weren’t exactly product announcements, but were setting the stage on how positive this AI theme is: During the keynote, AI related features in GMail, Google Photos and Android were announced. ![]() In each and every single thing that Google does today, there’s an attention to how AI can improve that thing that needs doing. I leave it to you to decide which of the two I mean □ĪI was featured in 5 different ways during the keynote: I’ll be using ML (Machine Learning) and AI (Artificial Intelligence) interchangeably throughout the rest of this article. If I try to put into a diagram the shift that is happening in the industry, it is probably this one: Runners up include Amazon, Microsoft, IBM, Apple and Facebook (probably at that order, though I am not sure about that part). When it comes to AI, Google is most probably the undisputed king today. They are comfortable enough in their dominance in AI to announce work-in-progress as they feel the technology gap is wide enough Google either knows its competitors are aware of all the progress it is making, or doesn’t care if they know in advance.Or more accurately, they were more interested in showing off the upcoming AI stuff NOW and not wait for next year or release it later Google weren’t ready with real product announcements for I/O that were interesting enough to fill 100 minutes of content.Google’s goal was to show its AI power versus its competition more than anything else they wanted to share in this I/O event. Most of them will be available only closer to the end of the year. Many of the features announced are not released yet. I’ll try in each section to highlight my own understanding and insights. I’d like to expand on each of these, as well as discuss parts of Smart Displays, Android P and Google Maps pieces of the keynote. Google touched at its keynote 3 main themes: That said, there was more to that Google I/O 2018 keynote than just AI. Throughout the 106 minutes keynote, AI was mentioned time and time again. Google announced AI at last year’s Google I/O event, and it was time to show what came out of it a year later. I don’t know if that meeting happened in such a form or another, but I’d bet that’s what have been going at Google for over a year now, culminating at Google I/O 2018.Īfter the obligatory icebreaker about the burger emoji crisis, Pichai immediately went to the heart of the keynote – AI. I don’t care what it is that you are doing, come back next week and make sure you show me a roadmap of your product that has AI in it.” Some time, between that day and the recent Google I/O event, Sundar Pichai, CEO of Google, probably brought his management team, knocked on the table and told them: “We are now an AI company. While we’ve had machine learning before that – at Google and elsewhere, this probably marks the date when machine learning and as an extension AI got its current spurt of growth. In November 2015, Google released TensorFlow, an open source machine learning framework.
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