In BlackBerry's defense, Nokia, Palm and Pocket PC also got sidelined by the iPhone and, to a lesser extent, Android.
Avoiding BlackBerry’s fate
11–20 of 40 posts
Re: Avoiding BlackBerry’s fate
#12Oddly enough I find Apple's approach to AI more to my liking than Googles. When I do a voice query on Google and all of a sudden every ad on the device is related to what I just did, I feel abused. I think the confusion here is the difference between data mining and AI. Google is great at data mining and less convincing when it comes to actual learning (Look at Alpha GO, it is an algorithmic exploit of a game, not a…
>Look at Alpha GO, it is an algorithmic exploit of a game, not a breakthrough
Huh?
Re: Avoiding BlackBerry’s fate
#13The article makes a great point about Apple's susceptibility to being overthrown in the phone market. The watch hasn't really done well and iTunes DRM theft of people's music libraries is becoming a thing. It's ok if Apple dies like Blackberry. They've died before. This time, though, there's no Jobs to resurrect them. They might become the IBM of their generation of companies, still around, still hoarding cash, but n…
> The watch hasn't really done well
Can we stop this? 6.5 Billion in it first year?
Re: Avoiding BlackBerry’s fate
#14Hmm, I've never directly given Google a dollar, but I've spent thousands on Apple stuff primarily because they do not have big-data AI services. No company is perfect, but it's easy to see their priorities.
Thats the scary thing about Google. They've become so ubiquitous that you don't need to pay them directly for them to make money off of you. They make money off of the data that they are able to glean from your interactions on the web, your devices etc. Its strength might also be its weakness if the mass of consumers shift towards a more privacy oriented mindset.
Re: Avoiding BlackBerry’s fate
#15I think he's overstating the possible negative effects of this shift for Apple.
Facebook and Google especially wouldn't dream of excluding Apple devices (read, very lucrative Apple customers) from their ecosystems. Apple make their money from devices and will continue to do so for a very long time.
Re: Avoiding BlackBerry’s fate
#16Hmm, I've never directly given Google a dollar, but I've spent thousands on Apple stuff primarily because they do not have big-data AI services. No company is perfect, but it's easy to see their priorities.
Thats the scary thing about Google. They've become so ubiquitous that you don't need to pay them directly for them to make money off of you. They make money off of the data that they are able to glean from your interactions on the web, your devices etc. Its strength might also be its weakness if the mass of consumers shift towards a more privacy oriented mindset.
Its strength might also be its weakness if the mass of consumers shift towards a more privacy oriented mindset
I'm guessing you mean consumers will stop using the internet because otherwise your comment makes no sense. You don't have more privacy on the internet because you don't use Google services.
Re: Avoiding BlackBerry’s fate
#17>But if Google’s right, there’s no quick fix. It won’t be enough to buy Siri’s creators again or partner with Yelp for another few years. If Apple needs strong AI and big-data services in the next decade to remain competitive, they need to have already been developing that talent and those assets, in-house, extensively, for years.
This is so true. It's not easy to out-accrue data over your competitors, especially if your competitor has multiple services used by millions of people everyday. This has an interesting side effect when it comes to hiring: The companies with "best" data have a better chance of hiring the best data talent because they can provide most challenging problems (for systems and data engineering people) and better equipment (There's no substitute for a vast amount of high-quality data for data scientists). This, in turn, means that best algorithms will come from data-rich companies.
What Marco is hinting at is that smartphones will increasingly become a conduit for data-intensive algorithms. If this is indeed the case, it means that data-rich companies can create deeper engagement and hence acquire more data, and the virtuous (or vicious?) loop will continue.
Re: Avoiding BlackBerry’s fate
#18Oddly enough I find Apple's approach to AI more to my liking than Googles. When I do a voice query on Google and all of a sudden every ad on the device is related to what I just did, I feel abused. I think the confusion here is the difference between data mining and AI. Google is great at data mining and less convincing when it comes to actual learning (Look at Alpha GO, it is an algorithmic exploit of a game, not a…
>Look at Alpha GO, it is an algorithmic exploit of a game, not a breakthrough Huh?
It's not a broad general AI solution... not hard to comprehend.
Re: Avoiding BlackBerry’s fate
#19Oddly enough I find Apple's approach to AI more to my liking than Googles. When I do a voice query on Google and all of a sudden every ad on the device is related to what I just did, I feel abused. I think the confusion here is the difference between data mining and AI. Google is great at data mining and less convincing when it comes to actual learning (Look at Alpha GO, it is an algorithmic exploit of a game, not a…
>Look at Alpha GO, it is an algorithmic exploit of a game, not a breakthrough Huh?
The "Breakthrough" for AlphaGO was that Go is well mapped by a Monte Carlo tree search. Once they figured out it became a domain specific problem and totally irrelevant as a general AI breakthrough.
Re: Avoiding BlackBerry’s fate
#20Apple's acquisitions in AI: Emotient (Jan 2016), VocalIQ & Perceptio (Oct 2015); hiring: 86-100+ PhD level positions [1,2]; Apple's jobs board about "machine learning" (keywords): 109 [3].
I'm not sure which part of these spells "Apple’s apparent inaction" in AI field stated in the article?
[1] https://sg.finance.yahoo.com/news/exclusive-apple-ups-hiring...
[2] http://iphone.appleinsider.com/articles/15/09/07/apple-finds...
[3] https://jobs.apple.com/us/search?#specs&ss=machine%20learnin...