Year: 2018

13 Dec 2018

Online ads and games would benefit from more rewards, according to UCLA survey

A new study from Versus Systems and the MEMES (Management of Enterprise in Media, Entertainment & Sports) Center at UCLA’s Anderson School of Management examines at how gaming and advertising are evolving, and how one influences the other.

As Versus Systems CEO Matthew Pierce put it, the goal was to study, “What is the impact on advertising as interactive media grows, and as more people consume interactive media?”

The individual findings — People like rewards! Not everyone who plays games calls themselves a gamer! — may not be that shocking to TechCrunch readers. And since Versus Systems has built a white-label platform for publishers to offer in-game rewards, the study might also seem a bit self-serving.

But again, this conducted was with UCLA’s Anderson School of Management, and both Pierce (who’s a lecturer at the school) and UCLA MEMES Head Jay Tucker pointed to size of the study, with 88,000 (U.S.-based) participants across a broad range of demographic groups.

Of those respondents, 50 percent said that they’ve played a video game (on any platform) in the past week, while 41 percent said they’ve played a game in the past 24 hours. However, only 13 percent of respondents described themselves as gamers. That “identification gap” is even larger among women, where 56 percent played a game in the past week but only 11 percent identified themselves as gamers.

Why does that matter? Well, the MEMES Center and Versus Systems argue in the study press release that “advertisers that are recognizing the value in advertising in-game may be underestimating how large and how diverse the gaming audience really is today.”

The study also suggests that traditional advertising may be facing more resistance from consumers, with 46 percent of respondents saying that they frequently or always avoid ads by “clicking the X” to close windows or changing channels or closing apps. Only 3.6 percent of respondents said they always watch ads all the way through.

When asked what would make them play games more, the most popular answer was “winning real things that I want when I achieve things in-game” — it was the number one result for 30 percent of respondents, and among millennials, it did even better. (In comparison, 18 percent put “if the games were less expensive” as their top answer and 11 percent said “my friends playing the same game(s).”) This attitude even extended to TV, where 77 percent of respondents listed rewards as one of the things (not necessarily the top reason) that would make them watch more television.

Meanwhile, 24 percent of respondents said listed “if more games/more shows were made for people like me” as the number one thing that would convince them to play or watch more.

Tucker suggested that these seemingly scattershot answers are actually connected. On the advertising side, “We’ve got folks who are used to being part of a community all day, every day, whether that’s social media or massively multiplayer games. We see users are increasingly connected and are not really interested in getting pulled out of an experience. Rewards, if done properly, can reinforce being part of a community … you can amplify that sense of connection.”

“The introduction of choice seems to make a big difference,” Pierce added. “We need new models where we can foster choice, foster community, foster more aspirational relationships between viewers and brands that ultimately allows content developers to have a relationship with the brands that isn’t so adversarial.”

Meanwhile, when it comes to content and storytelling, Tucker said we’re entering an “age of personalization.” Among other things, that means more diversity, in what he described as “a generational shift away from stories that assume everybody’s looking at life from the same perspective.”

Pierce and Tucker suggested that they’ll be taking an even closer look at the data in the coming months (“needs further study” was repeated several times during the interview), particularly by examining responses within smaller demographic groups.

13 Dec 2018

Tumblr’s back in the App Store following porn ban announcement

Tumblr is back. Sort of. The social blogging platform reappeared on Apple’s App Store this week, some three weeks after being pulled over child pornography concerns. Ten days ago, the company adopted a scorched earth response to the issue, announcing a blanket ban on adult material as part of a “better, more positive Tumblr.”

The move appears to have paid off on one front, at least. The iOS version has returned to Apple’s hallowed halls with a version history noting that “this particular update[…]includes changes to Tumblr’s Community Guidelines, which prohibit certain kinds of content from being shown on Tumblr.”

I.E. the dirty stuff.

The app is still listed as “17+” for “Frequent/Intense Mature/Suggestive Themes/Frequent Intense Sexual Content or Nudity.” The ban is intended to go into full effect on December 17, but the ploy appears to have had the intended effect. Tumblr has already begun flagging adult material via an algorithm, leading to some pretty hilarious misfires.

On a more serious side, however, the company’s plans have been a source of consternation among artists and sex workers who have thrived on the platform. It has also led many to speculate that the kinder, gentler, more sanitized Tumblr could ultimately spell doom for the service, moving forward.

Tumblr is owned  by the same parent company as TechCrunch. We’ve reached out to representatives for comment on the new version of the app.

13 Dec 2018

Powering customer journeys in the age of AI

Technology has been the cornerstone of economic growth around the world for hundreds of years. It has underpinned the last three industrial revolutions and is now the driving factor in today’s Fourth Industrial Revolution — marked by emerging technologies in a variety of fields.

Unsurprisingly, artificial intelligence is one of the key technologies driving this new revolution. As described in the 1950s by the father of modern computer science, Alan Turing, “What we want is a machine that can learn from experience.” His paper, “Computing Machinery and Intelligence,” is the earliest description of neural networks and how computer intelligence should be measured. While the concept of AI isn’t new, we’re only on the cusp of seeing AI drive real business value in the enterprise.

Businesses today are trying to augment and improve their customer, partner and employee experiences by leveraging AI. However, what many have yet to realize is that AI is only as good as the APIs that support it.

For example, we’re seeing the rise of conversational commerce, where consumers can interact with businesses and their services via digital voice assistants such as Alexa and Siri. Two very important things occur here. First, the voice assistant uses AI and machine learning technology — or algorithms that are trained using massive amounts of existing data — to understand voice commands. Second, the voice assistant acts on those commands by calling back-end services with APIs that do the actionable work. This can include getting product information from a database or placing an order with the order management system. APIs truly bring AI to life and, without them, the value of AI models cannot be unlocked for the enterprise.

The AI problem

Many businesses are beginning to deploy AI-based systems. According to Gartner’s recent survey of more than 3,000+ CIOs, 21 percent said they are already piloting AI initiatives or have short-term plans for them. Another 25 percent said they have medium- or long-term plans.

However, many businesses are adopting AI as a point solution to help customers with queries via a chatbot or with making recommendations via an AI and machine learning-based platform. These point solutions don’t have the ability to influence the entire customer journey. The customer journey in today’s digital world is complex, with interactions spanning many different applications, data sources and devices. It is very hard for businesses to unlock and integrate data across all the application silos in their enterprise (e.g. ERP, CRM, mainframes, databases) to create a 360-degree view of the customer.

So, how do businesses go about unlocking these information systems to make AI a reality? The answer is an API strategy. With the ability to securely share data across systems regardless of format or source, APIs become the nervous system of the enterprise. As a result of making appropriate API calls, applications that interact with AI models can now take actionable steps, based on the insights provided by the AI system — or the brain.

How APIs can bring AI to life

The key to building a successful AI-based platform is to invest in delivering consistent APIs that are easily discoverable and consumable by developers across the organization. Fortunately, with the emergence of API marketplaces, software developers don’t have to break a sweat to create everything from scratch. Instead, they can discover and reuse the work done by others internally and externally to accelerate development work.

Additionally, APIs help train the AI system by enabling access to the right information. APIs also provide the ability for AI systems to act across the entire customer journey by enabling a communication channel — the nervous system — with the broader application landscape. By calling appropriate APIs, developers can act on insights provided by the AI system. For example, Alexa or Siri cannot place an order for a customer directly in the back-end ERP system without a bridge. An API can serve as that bridge, as well as be reused for other application interactions to that ERP system down the road.

At their core, APIs are developed to play a specific role — unlocking data from legacy systems, composing data into processes or delivering an experience. By unlocking data that exists in siloed systems, businesses end up democratizing the availability of data across the enterprise. Developers can then choose information sources to train the AI models and connect the AI systems into the enterprise’s broader application network to take action.

Using AI to enhance the customer journey

As AI systems and APIs get leveraged together to build adaptive and actionable platforms, the customer journey changes dramatically. Consider this scenario: A bank offers a mobile app that targets customers looking to buy or sell a home. In the app, customers can simply point at the property they are interested in and immediately rich data comes together via APIs to provide historical information on property sales, nearby listings and market trends. Customers can then interact with an AI-powered digital assistant on the app to start the loan application process, including getting lender approval and mortgage rates. All the data captured from the mobile app can then feed the mortgage origination process to reduce errors and provide a fast and superior experience to the customer.

Businesses haven’t truly realized the full potential of AI systems at a strategic level, where they are building adaptive platforms that truly create differentiated value for their customers. Most organizations are leveraging AI to analyze large volumes of data and generate insights on customer engagement, though it’s not strategic enough. Strategic value can be realized when these AI systems are plugged into the enterprise’s wider application network to drive personalized, 1:1 customer journeys. With an API strategy in place, businesses can start to realize the full potential AI has to offer.

13 Dec 2018

US intelligence community says quantum computing and artificial intelligence pose an ’emerging threat’ to national security

It’s not often you can put nuclear weapons, terrorism and climate change on the same list as quantum computing, artificial intelligence and the Internet of Things, but the U.S. government believes all pose an “emerging threat” to its national security.

Several key agencies in the U.S. intelligence community were asked what they saw as long-term threats faced by the country in the next decade and beyond, and the future of “dual-use technologies” took center stage.

Agnostic technologies like encryption, autonomous and unmanned systems, AI and quantum computing rank at the top of the agencies’ “worry list” for fears that they could be used to cause harm, rather than advance society. While all can be used for good — to secure data, to survey a dangerous area or simply to save time and effort — the government says that all can have disastrous effects if used by an adversary.

For example, the government says that, “adversaries could gain increased access to AI through affordable designs used in the commercial industry, and could apply AI to areas such as weapons and technology,” and that “quantum communications could enable adversaries to develop secure communications that U.S. personnel would not be able to intercept or decrypt.”

The list of emerging threats also includes information operations — such as those purportedly carried out by adversarial nation states in the run up to recent elections — may engage in “advanced information operations campaigns that use social media, artificial intelligence, and data analytics to undermine the United States and its allies.”

A list of “dual-use” technological threats faced by the U.S. (Image: Government Accountability Office)

It’s no surprise that the government fears the unknown: warfare in this day and age has adapted beyond recognition, with nation states targeting one another with literal “cyber-bombs” and disinformation campaigns, sowing seeds of doubt rather than lobbing bombs over borders.

“As such, the nature of warfare has evolved to include ‘gray zone’ conflict — defined as the area between war and peace — where weaker adversaries have learned how to seize territory and advance their agendas in ways not recognized as ‘war’ by Western democracies,” the government watchdog wrote. Notably, the U.S. pointed its finger specifically at China and Russia — with Iran a close third — for “pursuing gray zone strategies to achieve their objectives without resorting to military conflict.”

And the U.S. knows it has to keep up with the range of threats, or face weakening on the world stage.

“The challenge for the United States and its allies will be to develop responses faster than adversaries through a better understanding of the strategic environment,” the government said. That might be tougher than it seems, given that senior government officials said the U.S. has been “strategically surprised” by how fast the threats have evolved.

“The nature of conflict has changed, and so the United States must evolve,” the government said.

13 Dec 2018

Scammers are sending bomb scares to nab BTC

A new scam is making the rounds that promises to disrupt countless offices and schools. The scam is simple: the scammers send an email threatening to detonate a bomb if they don’t get a certain amount of Bitcoin within a specified timeframe. Because there is little upside to ignoring a bomb threat at this point in history, entire offices are now being evacuated as this scam spreads.

The scammers usually send something like this:

My man carried a bomb (Hexogen) into the building where your company is located. It is constructed under my direction. It can be hidden anywhere because of its small size, it is not able to damage the supporting building structure, but in the case of its detonation you will get many victims.

My mercenary keeps the building under the control. If he notices any unusual behavior or emergency he will blow up the bomb.

I can withdraw my mercenary if you pay. You pay me 20.000 $ in Bitcoin and the bomb will not explode, but don’t try to cheat -I warrant you that I will withdraw my mercenary only after 3 confirmations in blockchain network.

Here is my Bitcoin address : 1GHKDgQX7hqTM7mMmiiUvgihGMHtvNJqTv

You have to solve problems with the transfer by the end of the workday. If you are late with the money explosive will explode.

This is just a business, if you don’t send me the money and the explosive device detonates, other commercial enterprises will transfer me more money, because this isnt a one-time action.

I wont visit this email. I check my Bitcoin wallet every 35 min and after seeing the money I will order my recruited person to get away.

If the explosive device explodes and the authorities notice this letter:
We are not terrorists and dont assume any responsibility for explosions in other buildings.

This particular address is empty and the address changes with each email. The NYPD reacted to these threats and noted that they are not credible.

The FBI wasn’t so certain and recommend vigilance.

Ultimately scams like this one do more harm than good and are rarely credible. While nothing is impossible, please take moment before panicking if you receive one of these emails.

13 Dec 2018

This early GDPR adtech strike puts the spotlight on consent

What does consent as a valid legal basis for processing personal data look like under Europe’s updated privacy rules? It may sound like an abstract concern but for online services that rely on things being done with user data in order to monetize free-to-access content this is a key question now the region’s General Data Protection Regulation is firmly fixed in place.

The GDPR is actually clear about consent. But if you haven’t bothered to read the text of the regulation, and instead just go and look at some of the self-styled consent management platforms (CMPs) floating around the web since May 25, you’d probably have trouble guessing it.

Confusing and/or incomplete consent flows aren’t yet extinct, sadly. But it’s fair to say those that don’t offer full opt-in choice are on borrowed time.

Because if your service or app relies on obtaining consent to process EU users’ personal data — as many free at the point-of-use, ad-supported apps do — then the GDPR states consent must be freely given, specific, informed and unambiguous.

That means you can’t bundle multiple uses for personal data under a single opt-in.

Nor can you obfuscate consent behind opaque wording that doesn’t actually specify the thing you’re going to do with the data.

You also have to offer users the choice not to consent. So you cannot pre-tick all the consent boxes that you really wish your users would freely choose — because you have to actually let them do that.

It’s not rocket science but the pushback from certain quarters of the adtech industry has been as awfully predictable as it’s horribly frustrating.

This has not gone unnoticed by consumers either. Europe’s Internet users have been filing consent-based complaints thick and fast this year. And a lot of what is being claimed as ‘GDPR compliant’ right now likely is not.

So, some six months in, we’re essentially in a holding pattern waiting for the regulatory hammers to come down.

But if you look closely there are some early enforcement actions that show some consent fog is starting to shift.

Yes, we’re still waiting on the outcomes of major consent-related complaints against tech giants. (And stockpile popcorn to watch that space for sure.)

But late last month French data protection watchdog, the CNIL, announced the closure of a formal warning it issued this summer against drive-to-store adtech firm, Fidzup — saying it was satisfied it was now GDPR compliant.

Such a regulatory stamp of approval is obviously rare this early in the new legal regime.

So while Fidzup is no adtech giant its experience still makes an interesting case study — showing how the consent line was being crossed; how, working with CNIL, it was able to fix that; and what being on the right side of the law means for a (relatively) small-scale adtech business that relies on consent to enable a location-based mobile marketing business.

From zero to GDPR hero?

Fidzup’s service works like this: It installs kit inside (or on) partner retailers’ physical stores to detect the presence of user-specific smartphones. At the same time it provides an SDK to mobile developers to track app users’ locations, collecting and sharing the advertising ID and wi-fi ID of users’ smartphone (which, along with location, are judged personal data under GDPR.)

Those two elements — detectors in physical stores; and a personal data-gathering SDK in mobile apps — come together to power Fidzup’s retail-focused, location-based ad service which pushes ads to mobile users when they’re near a partner store. The system also enables it to track ad-to-store conversions for its retail partners.

The problem Fidzup had, back in July, was that after an audit of its business the CNIL deemed it did not have proper consent to process users’ geolocation data to target them with ads.

Fidzup says it had thought its business was GDPR compliant because it took the view that app publishers were the data processors gathering consent on its behalf; the CNIL warning was a wake up call that this interpretation was incorrect — and that it was responsible for the data processing and so also for collecting consents.

The regulator found that when a smartphone user installed an app containing Fidzup’s SDK they were not informed that their location and mobile device ID data would be used for ad targeting, nor the partners Fidzup was sharing their data with.

CNIL also said users should have been clearly informed before data was collected — so they could choose to consent — instead of information being given via general app conditions (or in store posters), as was the case, after the fact of the processing.

It also found users had no choice to download the apps without also getting Fidzup’s SDK, with use of such an app automatically resulting in data transmission to partners.

Fidzup’s approach to consent had also only been asking users to consent to the processing of their geolocation data for the specific app they had downloaded — not for the targeted ad purposes with retail partners which is the substance of the firm’s business.

So there was a string of issues. And when Fidzup was hit with the warning the stakes were high, even with no monetary penalty attached. Because unless it could fix the core consent problem, the 2014-founded startup might have faced going out of business. Or having to change its line of business entirely.

Instead it decided to try and fix the consent problem by building a GDPR-compliant CMP — spending around five months liaising with the regulator, and finally getting a green light late last month.

A core piece of the challenge, as co-founder and CEO Olivier Magnan-Saurin tells it, was how to handle multiple partners in this CMP because its business entails passing data along the chain of partners — each new use and partner requiring opt-in consent.

“The first challenge was to design a window and a banner for multiple data buyers,” he tells TechCrunch. “So that’s what we did. The challenge was to have something okay for the CNIL and GDPR in terms of wording, UX etc. And, at the same time, some things that the publisher will allow to and will accept to implement in his source code to display to his users because he doesn’t want to scare them or to lose too much.

“Because they get money from the data that we buy from them. So they wanted to get the maximum money that they can, because it’s very difficult for them to live without the data revenue. So the challenge was to reconcile the need from the CNIL and the GDPR and from the publishers to get something acceptable for everyone.”

As a quick related aside, it’s worth noting that Fidzup does not work with the thousands of partners an ad exchange or demand-side platform most likely would be.

Magnan-Saurin tells us its CMP lists 460 partners. So while that’s still a lengthy list to have to put in front of consumers — it’s not, for example, the 32,000 partners of another French adtech firm, Vectaury, which has also recently been on the receiving end of an invalid consent ruling from the CNIL.

In turn, that suggests the ‘Fidzup fix’, if we can call it that, only scales so far; adtech firms that are routinely passing millions of people’s data around thousands of partners look to have much more existential problems under GDPR — as we’ve reported previously re: the Vectaury decision.

No consent without choice

Returning to Fidzup, its fix essentially boils down to actually offering people a choice over each and every data processing purpose, unless it’s strictly necessary for delivering the core app service the consumer was intending to use.

Which also means giving app users the ability to opt out of ads entirely — and not be penalized by not being able to use the app features itself.

In short, you can’t bundle consent. So Fidzup’s CMP unbundles all the data purposes and partners to offer users the option to consent or not.

“You can unselect or select each purpose,” says Magnan-Saurin of the now compliant CMP. “And if you want only to send data for, I don’t know, personalized ads but you don’t want to send the data to analyze if you go to a store or not, you can. You can unselect or select each consent. You can also see all the buyers who buy the data. So you can say okay I’m okay to send the data to every buyer but I can also select only a few or none of them.”

“What the CNIL ask is very complicated to read, I think, for the final user,” he continues. “Yes it’s very precise and you can choose everything etc. But it’s very complete and you have to spend some time to read everything. So we were [hoping] for something much shorter… but now okay we have something between the initial asking for the CNIL — which was like a big book — and our consent collection before the warning which was too short with not the right information. But still it’s quite long to read.”

Fidzup’s CNIL approved GDPR-compliant consent management platform

“Of course, as a user, I can refuse everything. Say no, I don’t want my data to be collected, I don’t want to send my data. And I have to be able, as a user, to use the app in the same way as if I accept or refuse the data collection,” he adds.

He says the CNIL was very clear on the latter point — telling it they could not require collection of geolocation data for ad targeting for usage of the app.

“You have to provide the same service to the user if he accepts or not to share his data,” he emphasizes. “So now the app and the geolocation features [of the app] works also if you refuse to send the data to advertisers.”

This is especially interesting in light of the ‘forced consent’ complaints filed against tech giants Facebook and Google earlier this year.

These complaints argue the companies should (but currently do not) offer an opt-out of targeted advertising, because behavioural ads are not strictly necessary for their core services (i.e. social networking, messaging, a smartphone platform etc).

Indeed, data gathering for such non-core service purposes should require an affirmative opt-in under GDPR. (An additional GDPR complaint against Android has also since attacked how consent is gathered, arguing it’s manipulative and deceptive.)

Asked whether, based on his experience working with the CNIL to achieve GDPR compliance, it seems fair that a small adtech firm like Fidzup has had to offer an opt-out when a tech giant like Facebook seemingly doesn’t, Magnan-Saurin tells TechCrunch: “I’m not a lawyer but based on what the CNIL asked us to be in compliance with the GDPR law I’m not sure that what I see on Facebook as a user is 100% GDPR compliant.”

“It’s better than one year ago but [I’m still not sure],” he adds. “Again it’s only my feeling as a user, based on the experience I have with the French CNIL and the GDPR law.”

Facebook of course maintains its approach is 100% GDPR compliant.

Even as data privacy experts aren’t so sure.

One thing is clear: If the tech giant was forced to offer an opt out for data processing for ads it would clearly take a big chunk out of its business — as a sub-set of users would undoubtedly say no to Zuckerberg’s “ads”. (And if European Facebook users got an ads opt out you can bet Americans would very soon and very loudly demand the same, so…)

Bridging the privacy gap

In Fidzup’s case, complying with GDPR has had a major impact on its business because offering a genuine choice means it’s not always able to obtain consent. Magnan-Saurin says there is essentially now a limit on the number of device users advertisers can reach because not everyone opts in for ads.

Although, since it’s been using the new CMP, he says a majority are still opting in (or, at least, this is the case so far) — showing one consent chart report with a ~70:30 opt-in rate, for example.

He expresses the change like this: “No one in the world can say okay I have 100% of the smartphones in my data base because the consent collection is more complete. No one in the world, even Facebook or Google, could say okay, 100% of the smartphones are okay to collect from them geolocation data. That’s a huge change.”

“Before that there was a race to the higher reach. The biggest number of smartphones in your database,” he continues. “Today that’s not the point.”

Now he says the point for adtech businesses with EU users is figuring out how to extrapolate from the percentage of user data they can (legally) collect to the 100% they can’t.

And that’s what Fidzup has been working on this year, developing machine learning algorithms to try to bridge the data gap so it can still offer its retail partners accurate predictions for tracking ad to store conversions.

“We have algorithms based on the few thousand stores that we equip, based on the few hundred mobile advertising campaigns that we have run, and we can understand for a store in London in… sports, fashion, for example, how many visits we can expect from the campaign based on what we can measure with the right consent,” he says. “That’s the first and main change in our market; the quantity of data that we can get in our database.”

“Now the challenge is to be as accurate as we can be without having 100% of real data — with the consent, and the real picture,” he adds. “The accuracy is less… but not that much. We have a very, very high standard of quality on that… So now we can assure the retailers that with our machine learning system they have nearly the same quality as they had before.

“Of course it’s not exactly the same… but it’s very close.”

Having a CMP that’s had regulatory ‘sign-off’, as it were, is something Fidzup is also now hoping to turn into a new bit of additional business.

“The second change is more like an opportunity,” he suggests. “All the work that we have done with CNIL and our publishers we have transferred it to a new product, a CMP, and we offer today to all the publishers who ask to use our consent management platform. So for us it’s a new product — we didn’t have it before. And today we are the only — to my knowledge — the only company and the only CMP validated by the CNIL and GDPR compliant so that’s useful for all the publishers in the world.”

It’s not currently charging publishers to use the CMP but will be seeing whether it can turn it into a paid product early next year.

How then, after months of compliance work, does Fidzup feel about GDPR? Does it believe the regulation is making life harder for startups vs tech giants — as is sometimes suggested, with claims put forward by certain lobby groups that the law risks entrenching the dominance of better resourced tech giants. Or does he see any opportunities?

In Magnan-Saurin’s view, six months in to GDPR European startups are at an R&D disadvantage vs tech giants because U.S. companies like Facebook and Google are not (yet) subject to a similarly comprehensive privacy regulation at home — so it’s easier for them to bag up user data for whatever purpose they like.

Though it’s also true that U.S. lawmakers are now paying earnest attention to the privacy policy area at a federal level. (And Google’s CEO faced a number of tough questions from Congress on that front just this week.)

“The fact is Facebook-Google they own like 90% of the revenue in mobile advertising in the world. And they are American. So basically they can do all their research and development on, for example, American users without any GDPR regulation,” he says. “And then apply a pattern of GDPR compliance and apply the new product, the new algorithm, everywhere in the world.

“As a European startup I can’t do that. Because I’m a European. So once I begin the research and development I have to be GDPR compliant so it’s going to be longer for Fidzup to develop the same thing as an American… But now we can see that GDPR might be beginning a ‘world thing’ — and maybe Facebook and Google will apply the GDPR compliance everywhere in the world. Could be. But it’s their own choice. Which means, for the example of the R&D, they could do their own research without applying the law because for now U.S. doesn’t care about the GDPR law, so you’re not outlawed if you do R&D without applying GDPR in the U.S. That’s the main difference.”

He suggests some European startups might relocate R&D efforts outside the region to try to workaround the legal complexity around privacy.

“If the law is meant to bring the big players to better compliance with privacy I think — yes, maybe it goes in this way. But the first to suffer is the European companies, and it becomes an asset for the U.S. and maybe the Chinese… companies because they can be quicker in their innovation cycles,” he suggests. “That’s a fact. So what could happen is maybe investors will not invest that much money in Europe than in U.S. or in China on the marketing, advertising data subject topics. Maybe even the French companies will put all the R&D in the U.S. and destroy some jobs in Europe because it’s too complicated to do research on that topics. Could be impacts. We don’t know yet.”

But the fact of GDPR enforcement having — perhaps inevitably — started small, with so far a small bundle of warnings against relative data minnows, rather than any swift action against the industry dominating adtech giants, that’s being felt as yet another inequality at the startup coalface.

“What’s sure is that the CNIL started to send warnings not to Google or Facebook but to startups. That’s what I can see,” he says. “Because maybe it’s easier to see I’m working on GDPR and everything but the fact is the law is not as complicated for Facebook and Google as it is for the small and European companies.”

13 Dec 2018

The annual PornHub year in review tells us what we’re really looking at online

PornHub, a popular site that features people in various stages of undress, saw 33.5 billion visits in 2018. There are currently 7.53 billion people on Earth.

Y’all have been busy.

The company, which owns most of the major porn sites online, produces a yearly report that aggregates user behavior on the site. Of particular interest, aside from the fact that all of us are horndogs, is that the U.S., Germany and India are in the top spots for porn browsing and that the company transferred 4,000 petabytes of data, or about 500 MB, per person on the planet.

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We ignore this data at our peril. While it doesn’t seem important at first glance, the fact that these porn sites are doing more traffic than most major news organizations is deeply telling. Further, like the meme worlds of Twitter and Facebook, Stormy Daniels and Fortnite made the top searches, which points to the spread of politics and culture into the heart of our desires. TV manufacturers should note that 4K searchers are rising in popularity, which suggests that consumer electronics manufacturers should start getting read for a shift (although it should be noted that there is sadly little free 4K content on these sites, a discovery I just made while researching this brief.)

Need more frightening/enlightening data? Here you go.

Just as ‘1080p’ searches had been a defining term in 2017, now ‘4k’ ultra-hd has seen a significant increase in popularity through-out 2018. The popularity of ‘Romantic’ videos more than doubled, and remained twice as popular with female visitors when compared to men.

Searches referring to the dating app ‘Tinder’ grew by 161% among women, 113% among men and 131% by visitors aged 35 to 44. It was also a top trending term in many countries including the United Kingdom and Australia. The number of Tinder themed fantasy date videos on the site is now more than 3500.

Life imitates art, and eventually porn imitates everything, so perhaps it’s no surprise to see that ‘Bowsette’ also made our list of searches that defined 2018. After the original Nintendo fan-art went viral, searches for Bowsette exceeded 3 million in just one week and resulted in the release of a live-action Bowsette themed porn parody (NSFW) with more than 720,000 views.

Bowsette. Good. Moving on.

The Bible Belt represented well in the showings, with Mississippi, South Carolina and Arkansas spending the most time looking at porn. Kansas spent the least. Phones got the most use as porn distribution devices and iOS and Android nearly tied in terms of platform popularity.

Windows traffic fell considerably this year, while Chrome OS became decidedly more popular in 2018. Chrome was popular when it came to browsers used, while the PlayStation was the biggest deliverer of flicks to the console user.

Porn is a the canary in the tech coal mine, and where it goes the rest of tech follows. All of these data points, taken together, paint a fascinating picture of a world on the cusp of a fairly unique shift from desktop to mobile and from HD to 4K video. Further, given that these sites are delivering so much data on a daily basis, it’s clear that all of us are sneaking a peek now and again… even if we refuse to admit it.

13 Dec 2018

Google Maps now shows nearby Lime bikes and scooters in 13 cities

Google has partnered with Lime to show nearby bikes and scooters in 13 cities worldwide. If there’s a Lime vehicle available nearby, Google Maps will show you how long it will take to get to the vehicle, the estimated price of the ride and total journey time.

Similar to the Uber integration in Google Maps, tapping on Lime will open the Lime app. If you don’t have it installed, you’ll be directed to the Apple App or Google Play store.

This is now live in Auckland, New Zealand, Austin, Texas, Baltimore, Md., Brisbane, Australia, Dallas, Texas, Indianapolis, Ind., Los Angeles, Calif., San Diego, Calif., Oakland, Calif., San Jose, Calif., San Antonio, Texas, Scottsdale, Ariz. and Seattle, Wash. Google says additional cities are in the works.

In September, Lime hit 11.5 million bike and scooter rides after just 14 months in operation. Lime has raised $467 million in funding to date, with its most recent round coming in at $335 million. The round, led by GV, included participation from Uber.

13 Dec 2018

Jennifer Garner and J.J. Abrams are making a limited series for Apple

More than a decade after the end of “Alias,” J.J. Abrams and Jennifer Garner are teaming up on a new limited series for Apple.

The show, titled “My Glory Was I Had Such Friends,” will be based on the Amy Silverstein memoir of the same name, about how Silverstein’s friends supported her as she waited for her second heart transplant.

As reported in Variety and elsewhere, the series will be produced by Abrams’ Bad Robot Productions in association with Warner Bros. Television. Karen Croner will write and executive produce (she previously wrote “The Tribes of Palos Verdes,” which Garner starred in last year), Garner will serve as both star and executive producer and Abrams will also be an executive producer.

“Alias” first aired in 2001 — Abrams created, wrote and directed, while Garner starred as double agent Sydney Bristow. The show helped make Garner a star, while also landing Abrams his first gig as a feature film director, “Mission Impossible III.”

Garner recently returned to television on the HBO series “Camping.” Abrams, meanwhile, has remained involved in TV despite his commitments to Star Wars, but usually just as an executive producer. Earlier this year, Apple was reportedly bidding for “Demimonde,” the first series that Abrams co-created since “Fringe,” but it lost out to HBO.

13 Dec 2018

Lyft is becoming a one-stop transportation app in these 3 cities

Lyft is turning its app into a one-stop multimodal transportation app in a few U.S. cities, the latest illustration of its transformation from ridesharing startup to a company that wants to own, or at least be a part of, every way people move from Point A to Point B, whether it’s cars, bikes, scooters or even public transit.

This new version of Lyft’s app, which allows users to request a shared car, find a scooter or bike, as well as see nearby public transit options, is only available in those cities where the company has launched these services. For now, it’s a short list that includes Washington, D.C., Santa Monica, Calif. and Los Angeles. But it will likely grow as the company launches scooter and bike sharing in more cities and as it forms partnerships with transit authorities through its Nearby Transit feature, which includes route information and schedules for buses and trains.

The new version of Lyft’s app shows every mobility option and makes suggestions based on user behavior, location and other data. And because the app integrates with public transit as well, it will show users when their trip might be quicker or more efficient using a local bus or subway, even though Lyft doesn’t financially benefit from that option.

Lyft has been moving toward this “all-of-the-above” approach for much of 2018, a shift accelerated by its acquisition of Motivate, the oldest and largest electric bike-share company in North America, the launch of its scooter business and its Nearby Transit program that kicked off in Santa Monica this September.

Lyft’s scooter-sharing service, which launched in Denver, is now in six cities. The company plans to nearly double that number by the end of 2018 — just a few weeks away. It’s scaling up bike sharing, as well. The company, through its Motivate bike-share brand, has invested $100 million in Citi Bike, expanding the fleet to 40,000 bikes over the next five years. Lyft is now the largest bike-share service in North America.

On Thursday, Ford GoBike — a Motivate system that is now owned by Lyft — is introducing more than 500 new pedal-assist electric bikes to its bike-share network in the East Bay of San Francisco.

This multimodal strategy, which Lyft outlined back in July, will help the company meet its goal of taking 1 million cars off the road by 2019. (Last year, Lyft says 250,000 of its community members gave up their personal cars.) It’s an effort that has been driven, in part, by Caroline Samponaro, Lyft’s head of bikes, scooters and pedestrian policy who has a long history as a bike activist. Samponaro, who posted a blog on Thursday describing her approach, fought for protected bike lanes in New York and led a grassroots campaign to redesign NYC’s streets. Samponaro most recently worked at Transportation Alternatives, a bicycle and pedestrian advocacy group.

“We’re taking a long view, and really leaning in hard into the ways that we can help solve large transportation problems for cities by getting people out of cars, and onto bikes and scooters or out of cars and into transit,” Samponaro told TechCrunch in a recent interview. “This really is making good on the vision that the founders have for the company to be a part of these large systemic transportation solutions, and partnerships with cities is core to the success of that.”

Lyft is also pushing to improve bike safety. It recently received approval for its Valencia Street project in the Mission District of San Francisco, which is one of the most heavily trafficked bicycling corridors in the city. To decrease double parking that obstructs bike lanes, Lyft is piloting a geo-fenced program that diverts to a dedicated location outside of traffic flow drivers’ pick-ups and drop-offs for passengers.

Of course, this isn’t just about making the world a better place. Lyft is a company after all, and one that sees greater opportunity and benefits to diversifying its business.

The battle between Uber and Lyft over ride-hailing market share in the U.S. has shifted to a larger war for control over transportation. While much of the attention has focused on the Uber versus Lyft story line, there are other important players in the mix that will influence the outcomes. And those are cities and transit authorities.