Apple fails to market the iPhone 12 Pro to the average consumer
My take: One of Apple's traditional strengths has been translating technical capabilities into household tasks. That seems to be receding with time. (Add'l analysis below) cnbc.com/2020/10/14/app… by @jbursz 1/7
The odd part is that the technical capabilities of the iPhone 12 do translate to a more personal phone: take the outdoors home with you, augment your world, get a smarter phone. 5 nm chips are much smarter than any other iPhone ever. 2/7
But Apple fell for the hype of its partners with 5G and 5nm rather than the personal, high-end, affordable luxury game changer branding that has made Apple a juggernaut. 3/7
It's also interesting that there was little in the new phone regarding security or working from home. I guess Apple figured it has nailed Work and School from Home despite all the challenges that still exist. 4/7
Some basic apps or features on the iPhone 12 taking advantage of the enhanced photos, LIDAR, and 5nm based processing in the background would have been great. If Apple can't figure out how 40%+ faster helps you, how can anyone else? 5/7
To me, iPhone 12 felt like an old Nokia Symbian phone launch that always focused on specs and hardware superiority. Even BlackBerry, back in the day, had more appeal to the feel and UX of its devices. Ask Nokia how that technical superiority sale turned out in the late 2000s. 6/7
I'm not saying Apple will disappear tomorrow. But the iPhone 12 launch looked like that of a mature technology waiting to be disrupted rather than a technology designed to further enhance your life. 7/7
I like this approach because, frankly, Oracle has to differentiate its Cloud offerings to stand out when Amazon, Microsoft, & Google obviously also have strong offerings. Moving past commodity storage & compute to also have a differentiated real-time cloud is smart.
And I think there's a new generation of streaming applications that are going to come out of the #COVID19 quarantine as we become more used to video & audio content. For instance, just imagine Twitch-like payments on Zoom & other meeting solutions which will require faster cloud
2) this acquisition shows @datarobot's perspective that data prep is more of a feature than a market. Just as every enterprise app platform needs BI, every standalone AI platform will require prep.
3) Paxata's product roadmap was already heavily AI focused, both in providing AI-enabled prep and in aligning data prep to AI model selection. This acquisition will accelerate Paxata's progress.
The Amazon Braket announcement is an interesting one for #quantumcomputing on multiple levels.
First, Amazon is not providing a hosted service, but is serving more as an aggregator of technology approaches while working on being an application developer layer. #reInvent
This approach of supporting @dwavesys@IonQ_Inc & @rigetti are three different approaches: quantum annealing, trapped ion, and full stack on a quantum coprocessor, respectively.
Abstracting all of these approaches on Jupyter seems like a bit of a "figure it out yourself" approach rather than actively pushing the #quantumcomputing era forward.