

In February 2013, China surpassed the United States to become the world’s largest smartphone market. More than half a decade on, it still proves an elusive target for international sellers. A glance at reports from the past several quarters reveals the top spots dominated by homegrown names: Huawei, Vivo, Oppo, Xiaomi.
Combined, the big four made up roughly 84% of the nearly 100 million smartphones shipped last quarter, per new numbers from Canalys. Even international giants like Apple and Samsung have trouble cracking double-digit market share. Of the two, Apple has generally done better, with around 6% of the market — around six times Samsung’s share.
But Apple’s struggles have been very visible nonetheless, as the company has invested a good deal of its own future success into the China market. At the beginning of the year, the company took the rare action of lowering its guidance for Q1, citing China as the primary driver.
“While we anticipated some challenges in key emerging markets, we did not foresee the magnitude of the economic deceleration, particularly in Greater China,” Tim Cook said in a letter to shareholders at the time. “In fact, most of our revenue shortfall to our guidance, and over 100 percent of our year-over-year worldwide revenue decline, occurred in Greater China across iPhone, Mac and iPad.”
When it came time to report, things were disappointing, as expected. The company’s revenue in the area dropped nearly $5 billion, year over year. On the tail of two rough quarters, things picked up a bit for Apple in the country. This week, Tim Cook noted “great improvement” in Greater China.
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Late last week, the DOJ greenlit T-Mobile and Sprint’s $26 billion deal to become the nation’s No. 3 carrier. The deal isn’t officially official just yet, with some prominent opposition facing the merger. A growing list of attorneys general have sued to block the merger, and another big name just came on board.
With the addition of Texas Attorney General Ken Paxton, the number moves to 15, including the District of Columbia. California, Colorado, Connecticut, the District of Columbia, Maryland, Michigan, Mississippi, New York, Virginia and Wisconsin filed the initial suit in June and were soon joined by Hawaii, Massachusetts, Minnesota and Nevada.
Notably, Paxton is one of only two Republicans on the list — probably not surprising, as many conservative lawmakers have suggested that a merger of the third and fourth largest carriers might actually promote competition. Trump-appointed DOJ antitrust chief Makan Delrahim agreed with carrier suggestions that a merger would help a larger T-Mobile accelerate 5G growth.
Paxton disagreed with the sentiments.
“After careful evaluation of the proposed merger and the settlement, we do not anticipate that the proposed new entrant will replace the competitive role of Sprint anytime soon,” Paxton said in a statement provided to TechCrunch. “It is the Attorney General’s responsibility to preserve free market competition, which has proven to result in lower prices and better quality for consumers. The bargain struck by the U.S. Department of Justice is not in the best interest of working Texans, who need affordable mobile wireless telecommunication services that are fit to match the speed and technological innovation demands of Texas’ growing economy.”
T-Mobile has also come under scrutiny for intense lobbying, including $195,000 spent at Trump’s D.C. hotel since last April.
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While you’d be hard pressed to find any startup not brimming with confidence over the disruptive idea they’re chasing, it’s not often you come across a young company as calmly convinced it’s engineering the future as Dasha AI.
The team is building a platform for designing human-like voice interactions to automate business processes. Put simply, it’s using AI to make machine voices a whole lot less robotic.
“What we definitely know is this will definitely happen,” says CEO and co-founder Vladislav Chernyshov. “Sooner or later the conversational AI/voice AI will replace people everywhere where the technology will allow. And it’s better for us to be the first mover than the last in this field.”
“In 2018 in the US alone there were 30 million people doing some kind of repetitive tasks over the phone. We can automate these jobs now or we are going to be able to automate it in two years,” he goes on. “If you multiple it with Europe and the massive call centers in India, Pakistan and the Philippines you will probably have something like close to 120M people worldwide… and they are all subject for disruption, potentially.”
The New York based startup has been operating in relative stealth up to now. But it’s breaking cover to talk to TechCrunch — announcing a $2M seed round, led by RTP Ventures and RTP Global: An early stage investor that’s backed the likes of Datadog and RingCentral. RTP’s venture arm, also based in NY, writes on its website that it prefers engineer-founded companies — that “solve big problems with technology”. “We like technology, not gimmicks,” the fund warns with added emphasis.
Dasha’s core tech right now includes what Chernyshov describes as “a human-level, voice-first conversation modelling engine”; a hybrid text-to-speech engine which he says enables it to model speech disfluencies (aka, the ums and ahs, pitch changes etc that characterize human chatter); plus “a fast and accurate” real-time voice activity detection algorithm which detects speech in under 100 milliseconds, meaning the AI can turn-take and handle interruptions in the conversation flow. The platform can also detect a caller’s gender — a feature that can be useful for healthcare use-cases, for example.
Another component Chernyshov flags is “an end-to-end pipeline for semi-supervised learning” — so it can retrain the models in real time “and fix mistakes as they go” — until Dasha hits the claimed “human-level” conversational capability for each business process niche. (To be clear, the AI cannot adapt its speech to an interlocutor in real-time — as human speakers naturally shift their accents closer to bridge any dialect gap — but Chernyshov suggests it’s on the roadmap.)
“For instance, we can start with 70% correct conversations and then gradually improve the model up to say 95% of correct conversations,” he says of the learning element, though he admits there are a lot of variables that can impact error rates — not least the call environment itself. Even cutting edge AI is going to struggle with a bad line.
The platform also has an open API so customers can plug the conversation AI into their existing systems — be it telephony, Salesforce software or a developer environment, such as Microsoft Visual Studio.
Currently they’re focused on English, though Chernyshov says the architecture is “basically language agnostic” — but does requires “a big amount of data”.
The next step will be to open up the dev platform to enterprise customers, beyond the initial 20 beta testers, which include companies in the banking, healthcare and insurance sectors — with a release slated for later this year or Q1 2020.
Test use-cases so far include banks using the conversation engine for brand loyalty management to run customer satisfaction surveys that can turnaround negative feedback by fast-tracking a response to a bad rating — by providing (human) customer support agents with an automated categorization of the complaint so they can follow up more quickly. “This usually leads to a wow effect,” says Chernyshov.
Ultimately, he believes there will be two or three major AI platforms globally providing businesses with an automated, customizable conversational layer — sweeping away the patchwork of chatbots currently filling in the gap. And of course Dasha intends their ‘Digital Assistant Super Human Alike’ to be one of those few.
“There is clearly no platform [yet],” he says. “Five years from now this will sound very weird that all companies now are trying to build something. Because in five years it will be obvious — why do you need all this stuff? Just take Dasha and build what you want.”
“This reminds me of the situation in the 1980s when it was obvious that the personal computers are here to stay because they give you an unfair competitive advantage,” he continues. “All large enterprise customers all over the world… were building their own operating systems, they were writing software from scratch, constantly reinventing the wheel just in order to be able to create this spreadsheet for their accountants.
“And then Microsoft with MS-DOS came in… and everything else is history.”
That’s not all they’re building, either. Dasha’s seed financing will be put towards launching a consumer-facing product atop its b2b platform to automate the screening of recorded message robocalls. So, basically, they’re building a robot assistant that can talk to — and put off — other machines on humans’ behalf.
Which does kind of suggest the AI-fuelled future will entail an awful lot of robots talking to each other…
Chernyshov says this b2c call screening app will most likely be free. But then if your core tech looks set to massively accelerate a non-human caller phenomenon that many consumers already see as a terrible plague on their time and mind then providing free relief — in the form of a counter AI — seems the very least you should do.
Not that Dasha can be accused of causing the robocaller plague, of course. Recorded messages hooked up to call systems have been spamming people with unsolicited calls for far longer than the startup has existed.
Dasha’s PR notes Americans were hit with 26.3BN robocalls in 2018 alone — up “a whopping” 46% on 2017.
Its conversation engine, meanwhile, has only made some 3M calls to date, clocking its first call with a human in January 2017. But the goal from here on in is to scale fast. “We plan to aggressively grow the company and the technology so we can continue to provide the best voice conversational AI to a market which we estimate to exceed $30BN worldwide,” runs a line from its PR.
After the developer platform launch, Chernyshov says the next step will be to open up access to business process owners by letting them automate existing call workflows without needing to be able to code (they’ll just need an analytic grasp of the process, he says).
Later — pegged for 2022 on the current roadmap — will be the launch of “the platform with zero learning curve”, as he puts it. “You will teach Dasha new models just like typing in a natural language and teaching it like you can teach any new team member on your team,” he explains. “Adding a new case will actually look like a word editor — when you’re just describing how you want this AI to work.”
His prediction is that a majority — circa 60% — of all major cases that business face — “like dispatching, like probably upsales, cross sales, some kind of support etc, all those cases” — will be able to be automated “just like typing in a natural language”.
So if Dasha’s AI-fuelled vision of voice-based business process automation come to fruition then humans getting orders of magnitude more calls from machines looks inevitable — as machine learning supercharges artificial speech by making it sound slicker, act smarter and seem, well, almost human.
But perhaps a savvier generation of voice AIs will also help manage the ‘robocaller’ plague by offering advanced call screening? And as non-human voice tech marches on from dumb recorded messages to chatbot-style AIs running on scripted rails to — as Dasha pitches it — fully responsive, emoting, even emotion-sensitive conversation engines that can slip right under the human radar maybe the robocaller problem will eat itself? I mean, if you didn’t even realize you were talking to a robot how are you going to get annoyed about it?
Dasha claims 96.3% of the people who talk to its AI “think it’s human”, though it’s not clear what sample size the claim is based on. (To my ear there are definite ‘tells’ in the current demos on its website. But in a cold-call scenario it’s not hard to imagine the AI passing, if someone’s not paying much attention.)
The alternative scenario, in a future infested with unsolicited machine calls, is that all smartphone OSes add kill switches, such as the one in iOS 13 — which lets people silence calls from unknown numbers.
And/or more humans simply never pick up phone calls unless they know who’s on the end of the line.
So it’s really doubly savvy of Dasha to create an AI capable of managing robot calls — meaning it’s building its own fallback — a piece of software willing to chat to its AI in future, even if actual humans refuse.
Dasha’s robocall screener app, which is slated for release in early 2020, will also be spammer-agnostic — in that it’ll be able to handle and divert human salespeople too, as well as robots. After all, a spammer is a spammer.
“Probably it is the time for somebody to step in and ‘don’t be evil’,” says Chernyshov, echoing Google’s old motto, albeit perhaps not entirely reassuringly given the phrase’s lapsed history — as we talk about the team’s approach to ecosystem development and how machine-to-machine chat might overtake human voice calls.
“At some point in the future we will be talking to various robots much more than we probably talk to each other — because you will have some kind of human-like robots at your house,” he predicts. “Your doctor, gardener, warehouse worker, they all will be robots at some point.”
The logic at work here is that if resistance to an AI-powered Cambrian Explosion of machine speech is futile, it’s better to be at the cutting edge, building the most human-like robots — and making the robots at least sound like they care.
Dasha’s conversational quirks certainly can’t be called a gimmick. Even if the team’s close attention to mimicking the vocal flourishes of human speech — the disfluencies, the ums and ahs, the pitch and tonal changes for emphasis and emotion — might seem so at first airing.
In one of the demos on its website you can hear a clip of a very chipper-sounding male voice, who identifies himself as “John from Acme Dental”, taking an appointment call from a female (human), and smoothly dealing with multiple interruptions and time/date changes as she changes her mind. Before, finally, dealing with a flat cancelation.
A human receptionist might well have got mad that the caller essentially just wasted their time. Not John, though. Oh no. He ends the call as cheerily as he began, signing off with an emphatic: “Thank you! And have a really nice day. Bye!”
If the ultimate goal is Turing Test levels of realism in artificial speech — i.e. a conversation engine so human-like it can pass as human to a human ear — you do have to be able to reproduce, with precision timing, the verbal baggage that’s wrapped around everything humans say to each other.
This tonal layer does essential emotional labor in the business of communication, shading and highlighting words in a way that can adapt or even entirely transform their meaning. It’s an integral part of how we communicate. And thus a common stumbling block for robots.
So if the mission is to power a revolution in artificial speech that humans won’t hate and reject then engineering full spectrum nuance is just as important a piece of work as having an amazing speech recognition engine. A chatbot that can’t do all that is really the gimmick.
Chernyshov claims Dasha’s conversation engine is “at least several times better and more complex than [Google] Dialogflow, [Amazon] Lex, [Microsoft] Luis or [IBM] Watson”, dropping a laundry list of rival speech engines into the conversation.
He argues none are on a par with what Dasha is being designed to do.
The difference is the “voice-first modelling engine”. “All those [rival engines] were built from scratch with a focus on chatbots — on text,” he says, couching modelling voice conversation “on a human level” as much more complex than the more limited chatbot-approach — and hence what makes Dasha special and superior.
“Imagination is the limit. What we are trying to build is an ultimate voice conversation AI platform so you can model any kind of voice interaction between two or more human beings.”
Google did demo its own stuttering voice AI — Duplex — last year, when it also took flak for a public demo in which it appeared not to have told restaurant staff up front they were going to be talking to a robot.
Chernyshov isn’t worried about Duplex, though, saying it’s a product, not a platform.
“Google recently tried to headhunt one of our developers,” he adds, pausing for effect. “But they failed.”
He says Dasha’s engineering staff make up more than half (28) its total headcount (48), and include two doctorates of science; three PhDs; five PhD students; and ten masters of science in computer science.
It has an R&D office in Russian which Chernyshov says helps makes the funding go further.
“More than 16 people, including myself, are ACM ICPC finalists or semi finalists,” he adds — likening the competition to “an Olympic game but for programmers”. A recent hire — chief research scientist, Dr Alexander Dyakonov — is both a doctor of science professor and former Kaggle No.1 GrandMaster in machine learning. So with in-house AI talent like that you can see why Google, uh, came calling…
But why not have Dasha ID itself as a robot by default? On that Chernyshov says the platform is flexible — which means disclosure can be added. But in markets where it isn’t a legal requirement the door is being left open for ‘John’ to slip cheerily by. Bladerunner here we come.
The team’s driving conviction is that emphasis on modelling human-like speech will, down the line, allow their AI to deliver universally fluid and natural machine-human speech interactions which in turn open up all sorts of expansive and powerful possibilities for embeddable next-gen voice interfaces. Ones that are much more interesting than the current crop of gadget talkies.
This is where you could raid sci-fi/pop culture for inspiration. Such as Kitt, the dryly witty talking car from the 1980s TV series Knight Rider. Or, to throw in a British TV reference, Holly the self-depreciating yet sardonic human-faced computer in Red Dwarf. (Or indeed Kryten the guilt-ridden android butler.) Chernyshov’s suggestion is to imagine Dasha embedded in a Boston Dynamics robot. But surely no one wants to hear those crawling nightmares scream…
Dasha’s five-year+ roadmap includes the eyebrow-raising ambition to evolve the technology to achieve “a general conversational AI”. “This is a science fiction at this point. It’s a general conversational AI, and only at this point you will be able to pass the whole Turing Test,” he says of that aim.
“Because we have a human level speech recognition, we have human level speech synthesis, we have generative non-rule based behavior, and this is all the parts of this general conversational AI. And I think that we can we can — and scientific society — we can achieve this together in like 2024 or something like that.
“Then the next step, in 2025, this is like autonomous AI — embeddable in any device or a robot. And hopefully by 2025 these devices will be available on the market.”
Of course the team is still dreaming distance away from that AI wonderland/dystopia (depending on your perspective) — even if it’s date-stamped on the roadmap.
But if a conversational engine ends up in command of the full range of human speech — quirks, quibbles and all — then designing a voice AI may come to be thought of as akin to designing a TV character or cartoon personality. So very far from what we currently associate with the word ‘robotic’. (And wouldn’t it be funny if the term ‘robotic’ came to mean ‘hyper entertaining’ or even ‘especially empathetic’ thanks to advances in AI.)
Let’s not get carried away though.
In the meanwhile, there are ‘uncanny valley’ pitfalls of speech disconnect to navigate if the tone being (artificially) struck hits a false note. (And, on that front, if you didn’t know ‘John from Acme Dental’ was a robot you’d be forgiven for misreading his chipper sign off to a total time waster as pure sarcasm. But an AI can’t appreciate irony. Not yet anyway.)
Nor can robots appreciate the difference between ethical and unethical verbal communication they’re being instructed to carry out. Sales calls can easily cross the line into spam. And what about even more dystopic uses for a conversation engine that’s so slick it can convince the vast majority of people it’s human — like fraud, identity theft, even election interference… the potential misuses could be terrible and scale endlessly.
Although if you straight out ask Dasha whether it’s a robot Chernyshov says it has been programmed to confess to being artificial. So it won’t tell you a barefaced lie.
How will the team prevent problematic uses of such a powerful technology?
“We have an ethics framework and when we will be releasing the platform we will implement a real-time monitoring system that will monitor potential abuse or scams, and also it will ensure people are not being called too often,” he says. “This is very important. That we understand that this kind of technology can be potentially probably dangerous.”
“At the first stage we are not going to release it to all the public. We are going to release it in a closed alpha or beta. And we will be curating the companies that are going in to explore all the possible problems and prevent them from being massive problems,” he adds. “Our machine learning team are developing those algorithms for detecting abuse, spam and other use cases that we would like to prevent.”
There’s also the issue of verbal ‘deepfakes’ to consider. Especially as Chernyshov suggests the platform will, in time, support cloning a voiceprint for use in the conversation — opening the door to making fake calls in someone else’s voice. Which sounds like a dream come true for scammers of all stripes. Or a way to really supercharge your top performing salesperson.
Safe to say, the counter technologies — and thoughtful regulation — are going to be very important.
There’s little doubt that AI will be regulated. In Europe policymakers have tasked themselves with coming up with a framework for ethical AI. And in the coming years policymakers in many countries will be trying to figure out how to put guardrails on a technology class that, in the consumer sphere, has already demonstrated its wrecking-ball potential — with the automated acceleration of spam, misinformation and political disinformation on social media platforms.
“We have to understand that at some point this kind of technologies will be definitely regulated by the state all over the world. And we as a platform we must comply with all of these requirements,” agrees Chernyshov, suggesting machine learning will also be able to identify whether a speaker is human or not — and that an official caller status could be baked into a telephony protocol so people aren’t left in the dark on the ‘bot or not’ question.
“It should be human-friendly. Don’t be evil, right?”
Asked whether he considers what will happen to the people working in call centers whose jobs will be disrupted by AI, Chernyshov is quick with the stock answer — that new technologies create jobs too, saying that’s been true right throughout human history. Though he concedes there may be a lag — while the old world catches up to the new.
Time and tide wait for no human, even when the change sounds increasingly like we do.
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StockX, a popular site for buying and selling sneakers and other apparel, has admitted it reset customer passwords after it was “alerted to suspicious activity” on its site, despite telling users it was a result of “system updates.”
“We recently completed system updates on the StockX platform,” said the email to customers sent to TechCrunch on Thursday. The email provided a link to a password reset page but said nothing more.
The company was only last month valued at over $1 billion after a $110 million fundraise.
Companies reset passwords all the time for various reasons. Some security teams obtain lists of previously breached passwords that make their way online, scramble them in the same format that the company stores passwords, and find matches. By triggering the reset, it prevents passwords stolen from other sites from being used against one of a company’s own customers. In less than desirable circumstances, passwords are reset following a data breach.
But the company admitted it was not “system updates” as it had told its customers.
“StockX was recently alerted to suspicious activity potentially involving our platform,” said StockX spokesperson Katy Cockrel. “Out of an abundance of caution, we implemented a security update and proactively asked our community to update their account passwords.”
“We are continuing to investigate,” said the spokesperson.
The password reset email sent by StockX on Thursday (Image: supplied)
We asked several follow-up questions — including who alerted StockX to the suspicious activity, if any customer data was compromised and why it misrepresented the reason for the password reset — but the spokesperson declined to comment further.
Throughout the day customers were tweeting screenshots of the email, worried that their accounts had been compromised. Others questioned whether the email was genuine or if it was part of a phishing attack.
“Did they get hacked, find out somehow, and then to cover it up send out that email and ask for a password change?,” one of the affected customers told TechCrunch.
Customers were given no prior warning of the password reset.
StockX founder Josh Luber kept with the company’s line, telling a customer in a tweet that the password reset was “legit” but did not respond to users asking why.
StockX tweeted back to several customers with a boilerplate response: “The password reset email you received is legitimate and came from our team,” and to contact the support email with any questions. We did just that — from our TechCrunch email address — and heard nothing back hours later.
Security experts expressed doubt that a company would reset passwords over a “systems update” as StockX had claimed.
Security researcher John Wethington said it is “rare” to see security overhauls that require password resets. “You wouldn’t just send out a random email about it,” he said. Jake Williams, founder of Rendition Infosec, said it was “bad communication” in any case.
Several took to Twitter to criticize StockX for its handling of the password reset.
One customer called the email “fishy,” another called it “suspicious” and another called on the company to explain why they had to reset passwords in this unorthodox way. Another said in a tweet that he asked StockX twice but they “refused to provide an answer.”
“Guess I’m closing my account,” he said.
Read more:
Slack resets user passwords after 2015 data breach
Capital One breach also hit other major companies, say researchers
An exposed password let a hacker access internal Comodo files
Security lapse exposed weak points on Honda’s internal network
Cryptocurrency loan site YouHodler exposed unencrypted user credit cards and transactions
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Direct-to-consumer plant retailer Bloomscape has raised $7.5 million in Series A funding, with several high-profile D2C startup founders signing on as investors.
Founder and CEO Justin Mast told me that his family has five generations of experience as greenhouse owners and operators, and that he first tried to get Bloomscape off the ground more than a decade ago. Since then, Mast has worked at other startups, but he said, “Bloomscape was the one that got away. I would find myself dreaming about it.”
The current version of the startup launched just over a year ago, and has shipped more than 100,000 plants since then. The company is headquartered in Detroit, and ships plants from its greenhouses near Grand Rapids, Mich.
When asked what’s wrong with the existing brick-and-mortar plant-buying process, Mast said convenience is a big factor, particularly once you start talking about plants that are too big to carry in one hand — he said Bloomscape’s packing and shipping methods can accommodate everything from a 10-inch aloe plant to a five-foot bird of paradise.
Bloomscape also helps people care for their plants through its Plant Mom service, allowing customers to ask for advice from an expert. The Plant Mom is, in fact, Mast’s mother Joyce, who has more than 40 years of horticulture experience.
Mast said the service is designed to replicate his own experience texting his Mom for help when his plants weren’t doing well: “We wanted to figure out how to do this in a way that didn’t feel like tech support, that actually felt convenient, warm and helpful.” (Bloomscape has since hired other experts to support her.)
Mast added that he sees the free service as “this tremendous opportunity to create value,” particularly since “people who feel confident that they’re going to be able to keep their plants alive go and buy more plants.”
Ultimately, Mast’s vision is for Bloomscape to be involved in “plant life in every area of the home and garden.”
The new round was led by Revolution Ventures, with participation from Endeavor, as well as Allbirds co-founder Joey Zwillinger, Away co-founder Jen Rubio, Eventbrite co-founder Kevin Hartz, Harry’s co-founder Jeff Raider, Quora co-founder Charlie Cheever and Warby Parker co-founders Neil Blumenthal and Dave Gilboa.
“Plants are a highly fragmented, fast growing industry, but the market has been slow to come online – warehousing and shipping living things is hard,” Revolution Ventures partner Clara Sieg said in a statement. “Drawing on five generations of horticultural experience, Justin and the Bloomscape team combines the ease of e-commerce with care and maintenance resources in a beautifully branded, consumer-centric experience that empowers even the least green thumbed among us to be successful plant parents.”
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The $10 billion, decade-long JEDI cloud contract drama continues. It’s a process that has been dogged by complaints, regulatory oversight and court cases. Throughout the months-long selection process, the Pentagon has repeatedly denied accusations that the contract was somehow written to make Amazon a favored vendor, but today The Washington Post reports President Trump has asked the newly appointed Defense Secretary, Mark T. Esper, to examine the process because of concerns over that very matter.
The Defense Department called for bids last year for a $10 billion, decade-long contract. From the beginning, Oracle in particular complained that the process favored Amazon. Even before the RFP process began Oracle executive Safra Catz took her concerns directly to the president, but at that time he did not intervene. Later, the company filed a complaint with the Government Accountability Office, which ruled that the procurement process was fair.
Finally, the company took the case to court, alleging that a person involved in defining the selection process had a conflict of interest, due to being an employee at Amazon before joining the DoD. That case was dismissed last month.
In April, the DoD named Microsoft and Amazon as the two finalists, and the winner was finally expected to be named some time this month. It appeared that we were close to the finish line, but now that the president has intervened at the 11th hour, it’s impossible to know what the outcome will be.
What we do know is that this is a pivotal project for the DoD, which is aimed at modernizing the U.S. military for the next decade and beyond. The fact is that the two finalists made perfect sense. They are the two market leaders, and each has tools, technologies and experience working with sensitive government contracts.
Amazon is the market leader, with 33% market share. Microsoft is No. 2, with 16%. The No. 3 vendor, Google, dropped out before the RFP process began. It is unclear at this point whether the president’s intervention will have any influence on the final decision, but The Washington Post reports it is an unusual departure from government procurement procedures.
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Tyler “Ninja” Blevins, the biggest streamer ever, has today announced his intention to leave the Twitch platform in favor of Microsoft’s Mixer.
Twitch is far and away the biggest video game streaming platform on the internet, claiming 72% of all hours watched, according to StreamElements. Mixer, by comparison, owns 3%, which is approximately 112 million viewership hours this most recent quarter.
Mixer is owned by Microsoft following an acquisition in 2016, back when Mixer was called Beam. Interestingly enough, Beam won the Disrupt NY Battlefield competition in 2016.
Twitch offered this statement to the Verge:
We’ve loved watching Ninja on Twitch over the years and are proud of all that he’s accomplished for himself and his family, and the gaming community. We wish him the best of luck in his future endeavors.
Surprisingly quickly, Twitch took away Ninja’s “Partnered” check mark, the Twitch equivalent of a verified blue tick.
Damn they snagged this mans checkmark QUICK pic.twitter.com/Br62NB8uX5
— 100T Mako
(@Mako) August 1, 2019
Ninja announced the news via video:
The announcement is very light on reasons why Ninja might have moved from his longtime home at Twitch over to Microsoft. It’s possible (and likely?) that Mixer offered the streaming star an enormous amount of money to make the move, which could signal the beginning of a new wave of payouts for mega streaming stars — not unlike the current NBA free agency bonanza, which has seen the migration of superstars to marquee franchises in order to form basketball equivalents of supergroups.
It’s also worth wondering who reigns supreme in this equation: players or platforms? Luckily, we’ll find out quickly as the video game streaming space sees its biggest talent shakeup since the industry’s inception.
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Google today highlighted a new feature that will bring voice-free emergency service interaction to Pixels and other Android devices. Designed for instances of injury, situations where speaking can present a danger and for users with speech impairments, the feature allows callers to communicate via touch menus.
Once an emergency call is triggered, users can specify its nature by tapping “Fire,” “Medical” or “Police.” That information is passed along to an operator without requiring the caller to speak, alongside location information that pulls from the phone’s GPS and uses plus code, a method for locating callers without a specific address.
The menu information is stored locally on the phone, and all of the information shared remains confidential, shared only with the emergency operator. Once the information is entered, users can also speak directly to the operator if able.
The feature was created in collaboration with the National Emergency Number Association. It’s arriving on Pixel phones and select Android devices in the U.S. in the coming months.
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Microsoft today announced the preview launch of Azure Dedicated Host, a new cloud service that will allow you to run your virtual machines on single-tenant physical services. That means you’re not sharing any resources on that server with anybody else and you’ll get full control over everything that’s running on that machine.
Previously, Azure already offered isolated Virtual Machine sizes for two very large virtual machine types. Those are still available, but their use cases are comparably limited to these new hosts, which offer far more flexibility.
With this move, Microsoft is following in the footsteps of AWS, which also offers Dedicated Hosts with very similar capabilities. Google Cloud, too, offers what it calls “sole-tenant nodes.”
Azure Dedicated Host will support Windows, Linux and SQL Server virtual machines and pricing is per host, independent of the number of virtual machines you end up running on them. You can currently opt for machines with up to 48 physical cores and prices start at $4.039 per hour.
To do this, Microsoft is offering two different processors to power these machines. Type 1 is based on the 2.3 GHz Intel Xeon E5-2673 v4 with up to 3.5 gigahertz of clock speed, while Type 2 features the Intel Xeon® Platinum 8168 with single-core clock speeds of up to 3.7 gigahertz. The available memory ranges from 144GiB to 448GiB. You can find more details here.
As Microsoft notes, these new dedicated hosts can help companies reach their compliance requirements for physical security, data integrity and monitoring. The dedicated hosts still share the same underlying infrastructure as any other host in the Azure data centers, but users have full control over any maintenance window that could impact their servers.
These dedicated hosts can also be grouped into larger host groups in a given Azure region, allowing you to build clusters of your own physical servers inside the Azure data center. Because you’re actually renting a physical machine, any hardware issue on that machine will impact the virtual machines you are running on them, so chances are you’ll want to have multiple dedicated hosts for your failover strategy anyway.
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