Category: UNCATEGORIZED

30 Jul 2019

Facebook is exploring brain control for AR wearables

Facebook this morning issued a lengthy breakdown of recent research into BCI (brain-computer interface) as a means with which to control future augmented reality interfaces. The piece coincides with a Facebook-funded UCSF research paper published in Nature today entitled, “Real-time decoding of question-and-answer speech dialogue using human cortical activity.”

Elements of the research have fairly humane roots, as BCI technology could be used to assist people with conditions such as ALS (or Lou Gehrig’s disease), helping to communicate in ways that their body is no longer naturally able.

Accessibility could certainly continue to be an important case use for the technology, though Facebook appears to have its sights set on broader applications with the creation of AR wearables that eliminate the need for voice or typed commands.

“Today we’re sharing an update on our work to build a non-invasive wearable device that lets people type just by imagining what they want to say,” Facebook AR/VR VP Andrew “Boz” Bosworth said on Twitter. “Our progress shows real potential in how future inputs and interactions with AR glasses could one day look.”

“One day” appears to be a key aspect in all of this. A lot of the key caveats in all of this note that the technology is still on relatively distant horizon. “It could take a decade,” Facebook writes in the post, “but we think we can close the gap.”

Among the strategies the company is exploring is use of a pulse oximeter, monitoring neurons’ consumption of oxygen to detect brain activity. Again, that’s still a ways off.

“We don’t expect this system to solve the problem of input for AR anytime soon. It’s currently bulky, slow, and unreliable,” the company writes. “But the potential is significant, so we believe it’s worthwhile to keep improving this state-of-the-art technology over time. And while measuring oxygenation may never allow us to decode imagined sentences, being able to recognize even a handful of imagined commands, like ‘home,’ ‘select,’ and ‘delete,’ would provide entirely new ways of interacting with today’s VR systems — and tomorrow’s AR glasses.”

Obviously there are some red flags here for privacy advocates. There would be with any large tech company, but Facebook in particular presents lots of built in privacy and security concerns. Remember the uproar when it launched a smart screen with built-in camera and microphones? Now apply that to a platform that’s design to tap directly into your brain and you’ve got a good idea of what we’re dealing with here.

Facebook addresses this concern in passing in the piece.

“We can’t anticipate or solve all of the ethical issues associated with this technology on our own,” Facebook Reality Labs Research Director Mark Chevillet says in the piece. “What we can do is recognize when the technology has advanced beyond what people know is possible, and make sure that information is delivered back to the community. Neuroethical design is one of our program’s key pillars — we want to be transparent about what we’re working on so that people can tell us their concerns about this technology.”

Facebook seems intent on getting out in front of those concerns a decade or so ahead of time. Users have seemingly been comfortable giving away a lot of private information, as long as it’s been part of a slow, steady trickle. By 2029, maybe the notion of letting the social network plug directly into our grey matter won’t seem so crazy after all.

30 Jul 2019

How retailers can survive the Amazon era

While Amazon’s 2019 Prime Day was riddled with complications from worker protests to antitrust investigations, the tech giant once again broke records with 175M items sold, surpassing both Black Friday and Cyber Monday combined. In just twenty years, Amazon revolutionized the logistics industry by fulfilling orders directly and offering its fulfillment services to third parties selling on the Amazon marketplace.

This year, more than half of US households will be Prime members. As Amazon continuously pushes delivery costs and times down, consumer expectations keep rising higher. But what does this mean for other retailers?

To survive in the post-Amazon era, the way companies have been storing and delivering physical goods to their final destination will need to change profoundly in the next decade.  Below are some of the key challenges facing the logistics landscape and three predictions for what we can expect to see next. 

The challenge 

Beating Amazon is difficult due to its sheer size, breadth and depth of its warehousing and fulfillment infrastructure and cutting-edge automation. Meanwhile, the typical logistics supply chain has become increasingly complex from transportation of physical goods from manufacturing facilities to last mile delivery to consumers. Further, legacy technology struggles to provide actionable insights due to low transparency, inefficient information flow, and limited automation. 

The gap between shipper’s expectations and logistics providers’ capabilities continues to widen as more of the supply chain lands in the hands of 3PLs—increasing capacity and capabilities but decreasing the shipper’s visibility and control on the process.

Now, also take into account other factors such as the industry wide shortage of blue collar workers and the net effect is that innovation in delivery and warehousing operations is becoming a pressing need.

GettyImages 1161005963

TURIN, ITALY – JULY 09: Amazon boxes of Amazon Logistic Center on July 09, 2019 in Turin, Italy. (Photo by Stefano Guidi/Getty Images)

What’s next for logistics?

Shippers will increasingly need to reinvent their logistics value chain and upgrade various functions, from storage to distribution, as well as leverage new partners that bring innovative technologies and expertise.  

The technology startups that are well-positioned to build lean and effective solutions for the entire industry are those that focus on solving specific pain points including improving, visibility across the logistics chain; speed of delivery; and cost effectiveness of storage and fulfillment.

  •  24/7 tracking becomes table stakes

Over the last few years, the “consumerization of IT” wave hit the logistics industry, meaning business professionals expect enterprise software to look and feel like the consumer apps they use every day – simple, fast, and easy-to-use. 

 Most companies’ legacy infrastructure has challenges with easy tracking or visibility into existing inventory. A new wave of venture backed tech-enabled solutions that marries both technology and execution has emerged to address these issues. 

 Take Shipwell (freight), Stord (warehousing), and Shipbob (fulfillment) for example — these solutions can provide end to end digitized offerings with the speed, reliability, and affordability that are vital to shipping operation teams. 

 While there is still no clear next-gen inventory or warehouse management winner in the US, early signs indicate capacity providers are moving in this direction by offering more solutions such as additional workflow and dashboard tools to their service offerings.

  • Same day shipping will be the norm

 Amazon’s recent one-day shipping announcement is a precursor to where the industry is being pushed. According to Invesp, over 65% of retailers surveyed expect to offer same-day delivery within the next two years.

Many are trying to solve for end-to-end fulfillment solutions to e-commerce players, including warehousing, packaging, fulfillment, transportation, and reverse logistics services. Startups like Deliverr, Shipmonk and Darkstore offer competitive or better solutions in terms of cost and speed, usually controlling supply of storage directly and outsourcing or crowdsourcing delivery. 

Others have gone vertical, such as Cathay Innovation portfolio company and delivery app Glovo, who recently launched their version of a darkstore which is the size of a garage with limited inventory inside cities— but with a goal of guaranteeing 15 minute delivery. According to Glovo’s CEO Oscar Pierre, “Dark stores are a major priority for us, and we plan to open further stores in Barcelona, Lisbon, Milan and Tbilisi within the next year. Being able to deliver within 20 minutes has a massive influence on the customer’s decision. When the delivery time is short and the pricing sensitivity is low, that’s what makes people decide between going to their local convenience store or ordering from the app.”

Delivery speed expectation is experiencing its own “Moore’s law” and is an area we see a great amount of opportunity given the conflux of change needed from physical retail meeting digital expectations.

  • The cost-effectiveness of storage and fulfillment will rapidly improve 

Just as Spotify and Netflix have conditioned consumers to around a $10 price point, retailers and last mile delivery players are doing the same with shipping. This limits the ability for shippers to pass the costs onto consumers, thus forcing vendors to look elsewhere to cut costs.

Several startups are emerging to solve the problem that legacy companies are ill-equipped to solve: enabling retailers to compete with Amazon, respond faster to market needs and contain rising costs.

Flexible, on-demand warehousing has become a good option to save costs and expand footprint, AWS-style. Companies like FLEXE and Flowspace are connecting unused warehouse space and fulfillment capacity with clients that have dynamic warehousing and fulfillment needs, creating a more liquid and efficient market while also increasing visibility into their assets. On the trucking side, companies such as Convoy and Ontruck, (my firm’s investment) are also making sure trucks are being better utilized by matching capacity to empty trucks.

As many shippers (even behemoth’s like Walmart) grapple with creating a profitable e-commerce operation, areas including storage, distribution and fulfillment will be key areas to watch in the coming years.

Parting thoughts

Several technological innovations, from IoT sensors and machine learning models to autonomous robots, are transforming the logistics supply chain. Startups not only have the opportunity to survive the post-Amazon era but help the booming e-commerce industry deliver on its innovation potential.

30 Jul 2019

Wall St analyst Laura Martin on the fate of Netflix, breaking up Google, EU regulation, and a decade of more money for Hollywood

The rise of streaming video platforms like Netflix and Amazon Prime has upended traditional power balances in Hollywood and is reorganizing the way we consume films and TV series as consumers.

Following her talk at the recent Banff World Media Festival in Canada, I interviewed Laura Martin, the senior analyst covering entertainment and internet stocks at leading investment bank Needham & Company, to sort out how the pieces are moving in this chess game between content creators, streaming services, consumers, and government regulators.

We discuss why Netflix is still at risk of a downfall, the effect of EU content quotas, why Martin thinks regulators should break up Google, and why video streaming and game streaming are likely to merge into the same subscription products.

Here is the transcript of our discussion, edited for length and clarity:


Eric Peckham: There’s an optimistic case that the rise of online video streaming is a win for both consumers and content creators because it creates a vast landscape of content platforms. Onstage in Banff, you argued that the number of content platforms (and thus the number of content buyers) will in fact shrink. Why do you see it going that direction?

Laura Martin: There are 4,000 video apps on the Roku platform today (and similarly on Samsung and on Amazon Fire). What you’ll see is a consolidation in the industry as we get big players like the Walt Disney Company, AT&T, and Apple coming into the DTC business with big, deep pockets. Although we have more buyers of content today, it’s driving prices up.

It is likely that the big players are just battling out between themselves, putting smaller players out of business. Over a 10-year time frame, I expect just three or four winners, and that will bring more discipline back into the financial aspects of the business.

Peckham: What will separate the winners from the losers here?

30 Jul 2019

Vacasa to acquire Wyndham Vacation Rentals for $162M

Vacasa, a provider of vacation rental management services akin to Airbnb, has agreed to agree Wyndham Vacation Rentals from Wyndham Destinations.

Portland-based Vacasa will pay Wyndham a total of $162 million, including at least $45 million in cash at closing and upwards of $30 million in Vacasa equity.

Vacasa, founded in 2009, had raised $213 million in venture capital funding to date from investors such as Assurant Growth Investing and NewSpring Capital.

Its acquisition of Wyndham Vacation Rentals will bring a number of brands, including ResortQuest, Kaiser Realty and Vacation Palm Springs, under its ownership and will expand its portfolio to include 23,000 new homes across North America, Central and South America, Europe and Africa.

“We are excited to partner with the pioneering company in the short-term rental industry that helped make vacation homes popular for so many families around the world,” Vacasa founder and chief executive officer Eric Breon said in a statement. “Combining Wyndham Vacation Rentals’ decades of operational excellence with Vacasa’s next-generation technology will deliver the industry’s best vacation rental experiences.”

The deal comes amid a period of growth for the Oregon business, which says it expects to bring in more than $1 billion in gross bookings and roughly $500 million in net revenue in the next year.

The acquisition, announced this morning, is projected to close this fall.

30 Jul 2019

Nintendo Switch sales are up, even with new models on the way

Quarterly sales for the Switch remained brisk for Nintendo’s most recent quarterly earnings. The number made a jump from 1.88 to 2.13 million units year over year. Modest, sure, but still solid for a console that’s getting slightly long in the tooth — especially given the fact that we’ve been aware a new versions are on the way.

Two were confirmed earlier this month, addressing concerns with the product. There’s the Switch Lite, a $200 version of the console ($100 less than the standard price) that swaps convertibility for portability and a unit with longer battery life. The arrival of both will almost certainly boost sales as the company heads into the holiday season.

With the new quarter factored in, Switch sales are now at 36.9 million for the life of the product. Nintendo, meanwhile, expects total unit sales to hit 18 million for the full year. In spite of positivity numbers on the console front, operating profit dropped ~10 percent year over year for the quarter.

The 3DS, meanwhile, while still alive, has unsurprisingly began a death rattle, slowing to 200,000 for the quarter. Still, it was a respectable life, with more than 75 million sold over the life of Nintendo’s previous portable. Farewell, 3DS, it was a good run.

Mobile numbers saw a nice 10 percent bump for the quarter, and Nintendo’s got plenty of solid titles lined up for the back half of the year, so likely most aren’t too concerned by some lackluster financials this time out.

30 Jul 2019

Catalyst raises $15M from Accel to transform data-driven customer success

Managing your customers has changed a lot in the past decade. Out are the steak dinners and ballgame tickets to get a sense of a contract’s chance at renewal, and in are churn analysis and a whole bunch of data science to learn whether a customer and their users like or love your product. That customer experience revolution has been critical to the success of SaaS products, but it can remain wickedly hard to centralize all the data needed to drive top performance in a customer success organization.

That’s where Catalyst comes in. The company, founded in New York City in 2017 and launched April last year, wants to centralize all of your disparate data sources on your customers into one easy-to-digest tool to learn how to approach each of them individually to optimize for the best experience.

The company’s early success has attracted more top investors. It announced today that it has raised a $15 million Series A led by Vas Natarajan of Accel, who previously backed enterprise companies like Frame.io, Segment, InVision, and Blameless. The company had previously raised $3 million from NYC enterprise-focused Work-Bench and $2.4 million from True Ventures. Both firms participated in this new round.

Catalyst CEO Edward Chiu told me that Accel was attractive because of the firm’s recent high-profile success in the enterprise space, including IPOs like Slack, PagerDuty, and CrowdStrike.

When we last spoke with Catalyst a year and a half ago, the firm had just raised its first seed round and was just the company’s co-founders — brothers Edward and Kevin Chiu — and a smattering of employees. Now, the company has 19 employees and is targeting 40 employees by the end of the year.

Team Photo

In that time, the product has continued to evolve as it has worked with its customers. One major feature of Catalyst’s product is a “health score” that determines whether a customer is likely to grow or churn in the coming months based on ingested data around usage. CEO Chiu said that “we’ve gotten our health score to be very very accurate” and “we have the ability to take automated action based on that health score.” Today, the company offers “prefect sync” with Salesforce, Mixpanel, Zendesk, among other services, and will continue to make investments in new integrations.

One high priority for the company has been increasing the speed of integration when a new customer signs up for Catalyst. Chiu said that new customers can be onboarded in minutes, and they can use the platform’s formula builder to define the exact nuances of their health score for their specific customers. “We mold to your use case,” he said.

One lesson the company has learned is that as success teams increasingly become critical to the lifeblood of companies, other parts of the organization and senior executives are working together to improve their customer’s experiences. Chiu told me that the startup often starts with onboarding a customer success team, only to later find that C-suite and other team leads have also joined and are also interacting together on the platform.

An interesting dynamic for the company is that it does its own customer success on its customer success platform. “We are our own best customer,” Chiu said. “We login every day to see the health of our customers… our product managers login to Catalyst every day to read product feedback.”

Since the last time we checked in, the company has added a slew of senior execs, including Cliff Kim as head of product, Danny Han as head of engineering, and Jessica Marucci as head of people, with whom the two Chius had worked together at cloud infrastructure startup DigitalOcean.

Moving forward, Chiu expects to invest further in data analysis and engineering. “One of the most unique things about us is that we are collecting so much unique data: usage patterns, [customer] spend fluctuations, [customer] health scores,” Chiu said. “It would be a hugely missed opportunity not to analyze that data and work on churn.”

30 Jul 2019

Brittany Kaiser dumps more evidence of Brexit’s democratic trainwreck

A UK parliamentary committee has published new evidence fleshing out how membership data was passed from UKIP, a pro-Brexit political party, to Leave.EU, a Brexit supporting campaign active in the 2016 EU referendum — via the disgraced and now defunct data company, Cambridge Analytica.

In evidence sessions last year, during the DCMS committee’s enquiry into online disinformation, it was told by both the former CEO of Cambridge Analytica, and the main financial backer of the Leave.EU campaign, the businessman Arron Banks, that Cambridge Analytica did no work for the Leave.EU campaign.

Documents published today by the committee clearly contradict that narrative — revealing internal correspondence about the use of a UKIP dataset to create voter profiles to carry out “national microtargeting” for Leave.EU.

They also show CA staff raising concerns about the legality of the plan to model UKIP data to enable Leave.EU to identify and target receptive voters with pro-Brexit messaging.

The UK’s 2016 in-out EU referendum saw the voting public narrowing voting to leave — by 52:48.

New evidence from Brittany Kaiser

The evidence, which includes emails between key Cambridge Analytica, employees of Leave.EU and UKIP, has been submitted to the DCMS committee by Brittany Kaiser — a former director of CA (who you may just have seen occupying a central role in Netflix’s The Great Hack documentary, which digs into links between the Trump campaign and the Brexit campaign).

“As you can see with the evidence… chargeable work was completed for UKIP and Leave.EU, and I have strong reasons to believe that those datasets and analysed data processed by Cambridge Analytica as part of a Phase 1 payable work engagement… were later used by the Leave.EU campaign without Cambridge Analytica’s further assistance,” writes Kaiser in a covering letter to committee chair, Damian Collins, summarizing the submissions.

Kaiser gave oral evidence to the committee at a public hearing in April last year.

At the time she said CA had been undertaking parallel pitches for Leave.EU and UKIP — as well as for two insurance brands owned by Banks — and had used membership survey data provided by UKIP to built a model for pro-brexit voter personality types, with the intention of it being used “to benefit Leave.EU”.

“We never had a contract with Leave.EU. The contract was with the UK Independence party for the analysis of this data, but it was meant to benefit Leave.EU,” she said then.

The new emails submitted by Kaiser back up her earlier evidence. They also show there was discussion of drawing up a contract between CA, UKIP and Leave.EU in the fall before the referendum vote.

In one email — dated November 10, 2015 — CA’s COO & CFO, Julian Wheatland, writes that: “I had a call with [Leave.EU’s] Andy Wigmore today (Arron’s right hand man) and he confirmed that, even though we haven’t got the contract with the Leave written up, it’s all under control and it will happen just as soon as [UKIP-linked lawyer] Matthew Richardson has finished working out the correct contract structure between UKIP, CA and Leave.”

Another item Kaiser has submitted to the committee is a separate November email from Wigmore, inviting press to a briefing by Leave.EU — entitled “how to win the EU referendum” — an event at which Kaiser gave a pitch on CA’s work. In this email Wigmore describes the firm as “the worlds leading target voter messaging campaigners”.

In another document, CA’s Wheatland is shown in an email thread ahead of that presentation telling Wigmore and Richardson “we need to agree the line in the presentations next week with regards the origin of the data we have analysed”.

“We have generated some interesting findings that we can share in the presentation, but we are certain to be asked where the data came from. Can we declare that we have analysed UKIP membership and survey data?” he then asks.

UKIP’s Richardson replies with a negative, saying: “I would rather we didn’t, to be honest” — adding that he has a meeting with Wigmore to discuss “all of this”, and ending with: “We will have a plan by the end of that lunch, I think”.

In another email, dated November 10, sent to multiple recipients ahead of the presentation, Wheatland writes: “We need to start preparing Brittany’s presentation, which will involve working with some of the insights David [Wilkinson, CA’s chief data scientist] has been able to glean from the UKIP membership data.”

He also asks Wilkinson if he can start to “share insights from the UKIP data” — as well as asking “when are we getting the rest of the data?”. (In a later email, dated November 16, Wilkinson shares plots of modelled data with Kaiser — apparently showing the UKIP data now segmented into four blocks of brexit supporters, which have been named: ‘Eager activist’; ‘Young reformer’; ‘Disaffected Tories’; and ‘Left behinds’.)

In the same email Wheatland instructs Jordanna Zetter, an employee of CA’s parent company SCL, to brief Kaiser on “how to field a variety of questions about CA and our methodology, but also SCL. Rest of the world, SCL Defence etc” — asking her to liaise with other key SCL/CA staff to “produce some ‘line to take’ notes”.

Another document in the bundle appears to show Kaiser’s talking points for the briefing. These make no mention of CA’s intention to carry out “national microtargeting” for Leave.EU — merely saying it will conduct “message testing and audience segmentation”.

“We will be working with the campaign’s pollsters and other vendors to compile all the data we have available to us,” is another of the bland talking points Kaiser was instructed to feed to the press.

“Our team of data scientists will conduct deep-dive analysis that will enable us to understand the electorate better than the rival campaigns,” is one more unenlightening line intended for public consumption.

But while CA was preparing to present the UK media with a sanitized false narrative to gloss over the individual voter targeting work it actually intended to carry out for Leave.EU, behind the scenes concerns were being raised about how “national microtargeting” would conflict with UK data protection law.

Another email thread, started November 19, highlights internal discussion about the legality of the plan — with Wheatland sharing “written advice from Queen’s Counsel on the question of how we can legally process data in the UK, specifically UKIP’s data for Leave.eu and also more generally”. (Although Kaiser has not shared the legal advice itself.)

Wilkinson replies to this email with what he couches as “some concerns” regarding shortfalls in the advice, before going into detail on how CA is intending to further process the modelled UKIP data in order to individually microtarget brexit voters — which he suggests would not be legal under UK data protection law “as the identification of these people would constitute personal data”.

He writes:

I have some concerns about what this document says is our “output” – points 22 to 24. Whilst it includes what we have already done on their data (clustering and initial profiling of their members, and providing this to them as summary information), it does not say anything about using the models of the clusters that we create to extrapolate to new individuals and infer their profile. In fact it says that our output does not identify individuals. Thus it says nothing about our microtargeting approach typical in the US, which I believe was something that we wanted to do with leave eu data to identify how each their supporters should be contacted according to their inferred profile.

For example, we wouldn’t be able to show which members are likely to belong to group A and thus should be messaged in this particular way – as the identification of these people would constitute personal data. We could only say “group A typically looks like this summary profile”.

Wilkinson ends by asking for clarification ahead of a looming meeting with Leave.EU, saying: “It would be really useful to have this clarified early on tomorrow, because I was under the impression it would be a large part of our product offering to our UK clients.” [emphasis ours]

Wheatland follows up with a one line email, asking Richardson to “comment on David’s concern” — who then chips into the discussion, saying there’s “some confusion at our end about where this data is coming from and going to”.

He goes on to summarize the “premises” of the advice he says UKIP was given regarding sharing the data with CA (and afterwards the modelled data with Leave.EU, as he implies is the plan) — writing that his understanding is that CA will return: “Analysed Data to UKIP”, and then: “As the Analysed Dataset contains no personal data UKIP are free to give that Analysed Dataset to anyone else to do with what they wish. UKIP will give the Analysed Dataset to Leave.EU”.

“Could you please confirm that the above is correct?” Richardson goes on. “Do I also understand correctly that CA then intend to use the Analysed Dataset and overlay it on Leave.EU’s legitimately acquired data to infer (interpolate) profiles for each of their supporters so as to better control the messaging that leave.eu sends out to those supporters?

“Is it also correct that CA then intend to use the Analysed Dataset and overlay it on publicly available data to infer (interpolate) which members of the public are most likely to become Leave.EU supporters and what messages would encourage them to do so?

“If these understandings are not correct please let me know and I will give you a call to discuss this.”

About half an hour later another SCL Group employee, Peregrine Willoughby-Brown, joins the discussion to back up Wilkinson’s legal concerns.

“The [Queen’s Counsel] opinion only seems to be an analysis of the legality of the work we have already done for UKIP, rather than any judgement on whether or not we can do microtargeting. As such, whilst it is helpful to know that we haven’t already broken the law, it doesn’t offer clear guidance on how we can proceed with reference to a larger scope of work,” she writes without apparent alarm at the possibility that the entire campaign plan might be illegal under UK privacy law.

“I haven’t read it in sufficient depth to know whether or not it offers indirect insight into how we could proceed with national microtargeting, which it may do,” she adds — ending by saying she and a colleague will discuss it further “later today”.

It’s not clear whether concerns about the legality of the microtargeting plan derailed the signing of any formal contract between Leave.EU and CA — even though the documents imply data was shared, even if only during the scoping stage of the work.

“The fact remains that chargeable work was done by Cambridge Analytica, at the direction of Leave.EU and UKIP executives, despite a contract never being signed,” writes Kaiser in her cover letter to the committee on this. “Despite having no signed contract, the invoice was still paid, not to Cambridge Analytica but instead paid by Arron Banks to UKIP directly. This payment was then not passed onto Cambridge Analytica for the work completed, as an internal decision in UKIP, as their party was not the beneficiary of the work, but Leave.EU was.”

Kaiser has also shared a presentation of the UKIP survey data, which bears the names of three academics: Harold Clarke, University of Texas at Dallas & University of Essex; Matthew Goodwin, University of Kent; and Paul Whiteley, University of Essex, which details results from the online portion of the membership survey — aka the core dataset CA modelled for targeting Brexit voters with the intention of helping the Leave.EU campaign.

(At a glance, this survey suggests there’s an interesting analysis waiting to be done of the choice of target demographics for the current blitz of campaign message testing ads being run on Facebook by the new (pro-brexit) UK prime minister Boris Johnson and the core UKIP demographic, as revealed by the survey data… )

[gallery ids="1862050,1862051,1862052"]

Call for Leave.EU probe to be reopened

Ian Lucas, MP, a member of the DCMS committee has called for the UK’s Electoral Commission to re-open its investigation into Leave.EU in view of “additional evidence” from Kaiser.

We reached out to the Electoral Commission to ask if it will be revisiting the matter.

An Electoral Commission spokesperson told us: “We are considering this new information in relation to our role regulating campaigner activity at the EU referendum. This relates to the 10 week period leading up to the referendum and to campaigning activity specifically aimed at persuading people to vote for a particular outcome.

“Last July we did impose significant penalties on Leave.EU for committing multiple offences under electoral law at the EU Referendum, including for submitting an incomplete spending return.”

Last year the Electoral Commission also found that the official Vote Leave Brexit campaign broke the law by breaching election campaign spending limits. It channelled money to a Canadian data firm linked to Cambridge Analytica to target political ads on Facebook’s platform, via undeclared joint working with a youth-focused Brexit campaign, BeLeave.

Six months ago the UK’s data watchdog also issued fines against Leave.EU and Banks’ insurance company, Eldon Insurance — having found what it dubbed as “serious” breaches of electronic marketing laws, including the campaign using insurance customers’ details to unlawfully to send almost 300,000 political marketing messages.

A spokeswoman for the ICO told us it does not have a statement on Kaiser’s latest evidence but added that its enforcement team “will be reviewing the documents released by DCMS”.

The regulator has been running a wider enquiry into use of personal data for social media political campaigning. And last year the information commissioner called for an ethical pause on its use — warning that trust in democracy risked being undermined.

And while Facebook has since applied a thin film of ‘political ads’ transparency to its platform (which researches continue to warn is not nearly transparent enough to quantify political use of its ads platform), UK election campaign laws have yet to be updated to take account of the digital firehoses now (il)liberally shaping political debate and public opinion at scale.

It’s now more than three years since the UK’s shock vote to leave the European Union — a vote that has so far delivered three years of divisive political chaos, despatching two prime ministers and derailing politics and policymaking as usual.

Leave.EU

Many questions remain over a referendum that continues to be dogged by scandals — from breaches of campaign spending; to breaches of data protection and privacy law; and indeed the use of unregulated social media — principally Facebook’s ad platform — as the willing conduit for distributing racist dogwhistle attack ads and political misinformation to whip up anti-EU sentiment among UK voters.

Dark money, dark ads — and the importing of US style campaign tactics into UK, circumventing election and data protection laws by the digital platform backdoor.

This is why the DCMS committee’s preliminary report last year called on the government to take “urgent action” to “build resilience against misinformation and disinformation into our democratic system”.

The very same minority government, struggling to hold itself together in the face of Brexit chaos, failed to respond to the committee’s concerns — and has now been replaced by a cadre of the most militant Brexit backers, who are applying their hands to the cheap and plentiful digital campaign levers.

The UK’s new prime minister, Boris Johnson, is demonstrably doubling down on political microtargeting: Appointing no less than Dominic Cummings, the campaign director of the official Vote Leave campaign, as a special advisor.

At the same time Johnson’s team is firing out a flotilla of Facebook ads — including ads that appear intended to gather voter sentiment for the purpose of crafting individually targeted political messages for any future election campaign.

So it’s full steam ahead with the Facebook ads…

Boris Facebook ads

Yet this ‘democratic reset’ is laid right atop the Brexit trainwreck. It’s coupled to it, in fact.

Cummings worked for the self same Vote Leave campaign that the Electoral Commission found illegally funnelled money — via Cambridge Analytica-linked Canadian data firm AggregateIQ — into a blitz of microtargeted Facebook ads intended to sway voter opinion.

Vote Leave also faced questions over its use of Facebook-run football competition promising a £50M prize-pot to fans in exchange for handing over a bunch of personal data ahead of the referendum, including how they planned to vote. Another data grab wrapped in fancy dress — much like GSR’s thisisyourlife quiz app that provided the foundational dataset for CA’s psychological voter profiling work on the Trump campaign.

The elevating of Cummings to be special adviser to the UK PM represents the polar opposite of an ‘ethical pause’ in political microtargeting.

Make no mistake, this is the Brexit campaign playbook — back in operation, now with full-bore pedal to the metal. (With his hands now on the public purse, Johnson has pledged to spend £100M on marketing to sell a ‘no deal Brexit’ to the UK public.)

Kaiser’s latest evidence may not contain a smoking bomb big enough to blast the issue of data-driven and tech giant-enabled voter manipulation into a mainstream consciousness, where it might have the chance to reset the political conscience of a nation — but it puts more flesh on the bones of how the self-styled ‘bad boys of Brexit’ pulled off their shock win.

In The Great Hack the Brexit campaign is couched as the ‘petri dish’ for the data-fuelled targeting deployed by the firm in the 2016 US presidential election — which delivered a similarly shock victory for Trump.

If that’s so, these latest pieces of evidence imply a suggestively close link between CA’s experimental modelling of UKIP supporter data, as it shifted gears to apply its dark arts closer to home than usual, and the models it subsequently built off of US citizens’ data sucked out of Facebook. And that in turn goes some way to explaining the cosiness between Trump and UKIP founder Nigel Farage…

 

Kaiser ends her letter to DCMS writing: “Given the enormity of the implications of earlier inaccurate conclusions by different investigations, I would hope that Parliament reconsiders the evidence submitted here in good faith. I hope that these ten documents are helpful to your research and furthering the transparency and truth that your investigations are seeking, and that the people of the UK and EU deserve”.

Banks and Wigmore have responded to the publication in their usual style, with a pair of dismissive tweets — questioning Kaiser’s motives for wanting the data to be published and throwing shade on how the evidence was obtained in the first place.

30 Jul 2019

What Huawei didn’t say in its ‘robust’ half-year results

The media has largely bought into Huawei’s ‘strong’ half-year results today, but there’s a major catch in the report: the company’s quarter-by-quarter smartphone growth was zero.

The telecom equipment and smartphone giant announced on Tuesday that its revenue grew 22.3% to reach 401.3 billion yuan ($58.31 million) in the first half of 2019 despite all the trade restrictions the U.S. slapped on it. Huawei’s smartphone shipments recorded 118 million units in H1, up 24% year-over-year.

What about quarterly growth? Huawei didn’t say but some quick math can uncover what it’s hiding. The company clocked a strong 39% in revenue growth in the first quarter, implying that its overall H1 momentum was dragged down by Q2 performance.

The firm shipped 59 million smartphones in the first quarter, which means the figure was also 59 million units in the second quarter. As tech journalist Alex Barredo pointed out in a tweet, Huawei’s Q2 smartphone shipments were historically stronger than Q1.

And although Huawei sold more handset units in China during Q2 (37.3 million) than Q1 (29.9 million) according to data from market research firm Canalys, the domestic increase was apparently not large enough to offset the decline in international markets. Indeed, Huawei’s founder and chief executive Ren Zhengfei himself predicted in June that the company’s overseas smartphone shipments would drop as much as 40%.

The causes are multi-layered, as the Chinese tech firm has been forced to extract a raft of core technologies developed by its American partners. Google stopped providing certain portions of Android services such as software updates to Huawei in compliance with U.S. trade rules. Chip designer ARM also severed business ties with Huawei. To mitigate the effect of trade bans, Huawei said it’s developing its own operating system (although it later claimed the OS is primarily for industrial use) and core chips, but these backup promises may take some time to materialize.

Consumer products are just one slice of the behemoth’s business. Huawei’s enterprise segment is under attack, too, as small-town U.S. carriers look to cut ties with Huawei. The Trump administration has also been lobbying its western allies to stop purchasing Huawei’s 5G networking equipment.

In other words, being on the U.S.’s entity list — a ban that prevents American companies from doing business with Huawei — is putting a real squeeze on the Chinese firm. Washington has given Huawei a reprieve that allows American entities to resume buying from and selling to Huawei, but the damage has been done. Ren said last month that all told, the U.S. ban would cost his company a staggering $30 billion loss in revenue.

Huawei chairman Liang Hua (pictured above) acknowledged the firm faces “difficulties ahead” but said the company is “fully confident in what the future holds,” he said today in a statement. “We will continue investing as planned – including a total of CNY120 billion in R&D this year. We’ll get through these challenges, and we’re confident that Huawei will enter a new stage of growth after the worst of this is behind us.”

30 Jul 2019

Conflura snags $9M Series A to help stop cyber attacks in real time

Just yesterday, we experienced yet another major breach when Capital One announced it had been hacked and years of credit card  application information had been stolen. Another day, another hack, but the question is how can companies protect themselves in the face of an onslaught of attacks. Conflura, a Palo Alto startup wants to help with a new tool that purports to stop these kinds of attacks in real time.

Today the company, which launched last year, announced a $9 million Series A investment led by Lightspeed Venture Partners . It also has the backing of several influential technology execs including John W. Thompson, who is chairman of Microsoft and former CEO at Symantec, Frank Slootman, CEO at Snowflake and formerly CEO at ServiceNow and Lane Bess, former CEO of Palo Alto Networks.

What has attracted this interest is the company’s approach to cyber security. “Conflura is a real-time cyber security company. We are delivering the industry’s first platform to deterministically stop cyber attacks in real time,” company co-founder and CEO Abhijit Ghosh told TechCrunch.

To do that Ghosh says, his company’s solution watches across the customer’s infrastructure, finds issues and recommends ways to mitigate the attack. “We see the problem that there are too many solutions which have been used. What is required is a platform that has visibility across the infrastructure, and uses security information from multiple sources to make that determination of where the attacker currently is and how to mitigate that,” he explained.

Microsoft chairman John Thompson, who is also an investor, says this is more than just real-time detection or real-time remediation. “It’s not just the audit trail and telling them what to do. It’s more importantly blocking the attack in real time. And that’s the unique nature of this platform, that you’re able to use the insight that comes from the science of the data to really block the attacks in real time,” Thompson said.

It’s early days for Conflura as it has 19 employees and 3 customers using the platform so far. For starters, it will be officially launching next week at Black Hat. After that, it has to continue building out the product and prove that it can work as described to stop the types of attacks we see on a regular basis from happening.

30 Jul 2019

‘The Operators’: Experts from WeWork and Brex talk marketing – Getting the most bang for your buck

Welcome to this transcribed edition of The Operators. TechCrunch is beginning to publish podcasts from industry experts, with transcriptions available for Extra Crunch members so you can read the conversation wherever you are.

The Operators features insiders from companies like AirBnB, Brex, Docsend, Facebook, Google, Lyft, Carta, Slack, Uber, and WeWork sharing their stories and tips on how to break into fields like marketing and product management. They also share best practices for entrepreneurs on how to hire and manage experts from domains outside their own.

This week’s edition features Christiana Rattazzi, Head of Technology Marketing at WeWork, the leading coworking company that has raised over $8 billion and has a valuation of $47 billion and a rumored IPO impending. Also joining the show is Elinitsa Staykova, VP of Marketing at Brex, another fast-growing unicorn, recently valued at over $2 billion, that is the leading provider of credit cards to startups and tech companies.

In this episode, Christiana and Elinitsa explain how marketing works, how to get into and succeed in the field of marketing, and how founders should think about hiring and managing the marketing function. With their experiences at two of tech’s biggest and most innovative marketers, WeWork and Brex, this episode is packed with broad perspectives and deep insights.

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Image via The Operators

Neil Devani and Tim Hsia created The Operators after seeing and hearing too many heady, philosophical podcasts about the future of tech, and not enough attention on the practical day-to-day work that makes it all happen.

Tim is the CEO & Founder of Media Mobilize, a media company and ad network, and a Venture Partner at Digital Garage. Tim is an early-stage investor in Workflow (acquired by Apple), Lime, FabFitFun, Oh My Green, Morning Brew, Girls Night In, The Hustle, Bright Cellars, and others.

Neil is an early-stage investor based in San Francisco with a focus on companies building stuff people need, solutions to very hard problems. Companies he’s invested in include Andela, Clearbit, Kudi, Recursion Pharmaceuticals, Solugen, and Vicarious Surgical.

If you’re interested in starting or accelerating your marketing career, or how to hire and manage this function, you can’t miss this episode!

The show:

The Operators brings experts with experience at companies like AirBnB, Brex, Docsend, Facebook, Google, Lyft, Carta, Slack, Uber, WeWork, etc. to share insider tips on how to break into fields like marketing and product management. They also share best practices for entrepreneurs on how to hire and manage experts from domains outside their own.

In this episode:

In Episode 4, we’re talking about marketing. Neil interviews Christiana Rattazzi, Head of Technology Marketing at WeWork, and Elinitsa Staykova, VP of Marketing at Brex.


Neil Devani: Hello and welcome to another episode of The Operators, where we learn from the people building the companies of tomorrow. We publish every other Monday and you can find us online at www.operators.co. I’m your host, Neil Devani, and we’re coming to you today from Digital Garage here in downtown San Francisco.

Joining me is Eli Staykova, Vice President of Marketing at Brex. Brex is the corporate credit card for start-ups, one of the fastest companies to reach a billion dollar evaluation, having launched barely two years ago, and its customers include Y Combinator, Flexport, SoFi, and many, many other startups.

Also joining us is Christiana Rattazzi, the head of enterprise technology marketing at WeWork. WeWork, with almost 10 billion dollars in financing to date, also counts major corporations and startups among its hundreds of thousands of customers. The firm is reportedly the largest leaseholder in New York, London, and Washington DC and has a footprint in almost a hundred other countries.

Eli and Christiana, thank you for joining us. Just to start, if you can share with our listeners about yourselves, a little bit about where you’re from and how you got into marketing, that’d be great.

Christiana Rattazzi: Happy to lead off. I’m actually from the Bay Area, go Warriors and I was pre-med through college and really thought I was going to go to med school and as I started studying for the MCAT, really discovered that that was what the path was going to be like.

One where you spend a lot of time in the library and maybe you weren’t up for it later and I wasn’t sure I wanted to sign up for that but I wanted to be at a company and being able to speak about a product that I was passionate about. And so that got me into cleantech, as I started my career, actually in cleantech, in marketing because I really loved to write and I love to tell stories.

So that was the beginning of my career and it’s been a great ride since then.

Devani: And what about yourself?

Eli Staykova: I came to the Bay Area in 2006 so I’ve been living here for the past thirteen years, it’s been quite the ride. I came here for the business school at the GSB, Stanford, and I started my career in finance, so I worked for IFC, International Finance Corporation, then for UBS in their LBO group, and I thought that you know after that I would stay in finance.

However, after Stanford I decided to work and live here in San Francisco and it’s so hard to be in the Bay Area not working in tech so I eventually joined the tech world. I work for Apple in their corporate finance team and I recently made the switch back in February at the new company Brex.

Devani: Very cool. These are two very exciting companies, two companies that do a lot of marketing, probably have very sophisticated marketing operations at least that’s what I would assume from the outside.

For the folks who are listening, who maybe don’t know much about marketing, can you help us understand at a very high level, the marking operation in your company. What are the different departments or roles, the different things that are just the nuts and bolts of how it works?