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See the new iPhone’s ‘focus pixels’ up close

Published September 25, 2018

The new iPhones have excellent cameras, to be sure. But it’s always good to verify Apple’s breathless onstage claims with first-hand reports. We have our own review of the phones and their photography systems, but teardowns provide the invaluable service of letting you see the biggest changes with your own eyes — augmented, of course, by a high-powered microscope.

We’ve already seen iFixit’s solid-as-always disassembly of the phone, but TechInsights gets a lot closer to the device’s components — including the improved camera of the iPhone XS and XS Max.

Although the optics of the new camera are as far as we can tell unchanged since the X, the sensor is a new one and is worth looking closely at.

Microphotography of the sensor die show that Apple’s claims are borne out and then some. The sensor size has increased from 32.8mm2 to 40.6mm2 — a huge difference despite the small units. Every tiny bit counts at this scale. (For comparison, the Galaxy S9 is 45mm2, and the soon-to-be-replaced Pixel 2 is 25mm2.)

The pixels themselves also, as advertised, grew from 1.22 microns (micrometers) across to 1.4 microns — which should help with image quality across the board. But there’s an interesting, subtler development that has continually but quietly changed ever since its introduction: the “focus pixels.”

That’s Apple’s brand name for phase detection autofocus (PDAF) points, found in plenty of other devices. The basic idea is that you mask off half a sub-pixel every once in a while (which I guess makes it a sub-sub-pixel), and by observing how light enters these half-covered detectors you can tell whether something is in focus or not.

Of course, you need a bunch of them to sense the image patterns with high fidelity, but you have to strike a balance: losing half a pixel may not sound like much, but if you do it a million times, that’s half a megapixel effectively down the drain. Wondering why all the PDAF points are green? Many camera sensors use an “RGBG” sub-pixel pattern, meaning there are two green sub-pixels for each red and blue one — it’s complicated why. But there are twice as many green sub-pixels and therefore the green channel is more robust to losing a bit of information.Apple introduced PDAF in the iPhone 6, but as you can see in TechInsights’ great diagram, the points are pretty scarce. There’s one for maybe every 64 sub-pixels, and not only that, they’re all masked off in the same orientation: either the left or right half gone.

The 6S and 7 Pluses saw the number double to one PDAF point per 32 sub-pixels. And in the 8 Plus, the number is improved to one per 20 — but there’s another addition: now the phase detection masks are on the tops and bottoms of the sub-pixels as well. As you can imagine, doing phase detection in multiple directions is a more sophisticated proposal, but it could also significantly improve the accuracy of the process. Autofocus systems all have their weaknesses, and this may have addressed one Apple regretted in earlier iterations.

Which brings us to the XS (and Max, of course), in which the PDAF points are now one per 16 sub-pixels, having increased the frequency of the vertical phase detection points so that they’re equal in number to the horizontal one. Clearly the experiment paid off and any consequent light loss has been mitigated or accounted for.

I’m curious how the sub-pixel patterns of Samsung, Huawei and Google phones compare, and I’m looking into it. But I wanted to highlight this interesting little evolution. It’s an interesting example of the kind of changes that are hard to understand when explained in simple number form — we’ve doubled this, or there are a million more of that — but which make sense when you see them in physical form.

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The new era in mobile

Published September 25, 2018
Joe Apprendi
Contributor

Joe Apprendi is a general partner at Revel Partners.
More posts by this contributor

A future dominated by autonomous vehicles (AVs) is, for many experts, a foregone conclusion. Declarations that the automobile will become the next living room are almost as common — but, they are imprecise. In our inevitable driverless future, the more apt comparison is to the mobile device. As with smartphones, operating systems will go a long way toward determining what autonomous vehicles are and what they could be. For mobile app companies trying to seize on the coming AV opportunity, their future depends on how the OS landscape shapes up.

By most measures, the mobile app economy is still growing, yet the time people spend using their apps is actually starting to dip. A recent study reported that overall app session activity grew only 6 percent in 2017, down from the 11 percent growth it reported in 2016. This trend suggests users are reaching a saturation point in terms of how much time they can devote to apps. The AV industry could reverse that. But just how mobile apps will penetrate this market and who will hold the keys in this new era of mobility is still very much in doubt.

When it comes to a driverless future, multiple factors are now converging. Over the last few years, while app usage showed signs of stagnation, the push for driverless vehicles has only intensified. More cities are live-testing driverless software than ever, and investments in autonomous vehicle technology and software by tech giants like Google and Uber (measured in the billions) are starting to mature. And, after some reluctance, automakers have now embraced this idea of a driverless future. Expectations from all sides point to a “passenger economy” of mobility-as-a-service, which, by some estimates, may be worth as much as $7 trillion by 2050.

For mobile app companies this suggests several interesting questions: Will smart cars, like smartphones before them, be forced to go “exclusive” with a single OS of record (Google, Apple, Microsoft, Amazon/AGL), or will they be able to offer multiple OS/platforms of record based on app maturity or functionality? Or, will automakers simply step in to create their own closed loop operating systems, fragmenting the market completely?

Automakers and tech companies clearly recognize the importance of “connected mobility.”

Complicating the picture even further is the potential significance of an OS’s ability to support multiple Digital Assistants of Record (independent of the OS), as we see with Google Assistant now working on iOS. Obviously, voice NLP/U will be even more critical for smart car applications as compared to smart speakers and phones. Even in those established arenas the battle for OS dominance is only just beginning. Opening a new front in driverless vehicles could have a fascinating impact. Either way, the implications for mobile app companies are significant.

Looking at the driverless landscape today there are several indications as to which direction the OSes in AVs will ultimately go. For example, after some initial inroads developing their own fleet of autonomous vehicles, Google has now focused almost all its efforts on autonomous driving software while striking numerous partnership deals with traditional automakers. Some automakers, however, are moving forward developing their own OSes. Volkswagen, for instance, announced that vw.OS will be introduced in VW brand electric cars from 2020 onward, with an eye toward autonomous driving functions. (VW also plans to launch a fleet of autonomous cars in 2019 to rival Uber.) Tesla, a leader in AV, is building its own unified hardware-software stack. Companies like Udacity, however, are building an “open-source” self-driving car tech. Mobileye and Baidu have a partnership in place to provide software for automobile manufacturers.

Clearly, most smartphone apps would benefit from native integration, but there are several categories beyond music, voice and navigation that require significant hardware investment to natively integrate. Will automakers be interested in the Tesla model? If not, how will smart cars and apps (independent of OS/voice assistant) partner up? Given the hardware requirements necessary to enable native app functionality and optimal user experience, how will this force smart car manufacturers to work more seamlessly with platforms like AGL to ensure competitive advantage and differentiation? And, will this commoditize the OS dominance we see in smartphones today?

It’s clearly still early days and — at least in the near term — multiple OS solutions will likely be employed until preferred solutions rise to the top. Regardless, automakers and tech companies clearly recognize the importance of “connected mobility.” Connectivity and vehicular mobility will very likely replace traditional auto values like speed, comfort and power. The combination of Wi-Fi hotspot and autonomous vehicles (let alone consumer/business choice of on-demand vehicles) will propel instant conversion/personalization of smart car environments to passenger preferences. And, while questions remain around the how and the who in this new era in mobile, it’s not hard to see the why.

Americans already spend an average of 293 hours per year inside a car, and the average commute time has jumped around 20 percent since 1980. In a recent survey (conducted by Ipsos/GenPop) researchers found that in a driverless future people would spend roughly a third of the time communicating with friends and family or for business and online shopping. By 2030, it’s estimated the autonomous cars “will free up a mind-blowing 1.9 trillion minutes for passengers.” Another analysis suggested that even with just 10 percent adoption, driverless cars could account for $250 billion in driver productivity alone.

Productivity in this sense extends well beyond personal entertainment and commerce and into the realm of business productivity. Use of integrated display (screen and heads-up) and voice will enable business multi-tasking from video conferencing, search, messaging, scheduling, travel booking, e-commerce and navigation. First-mover advantage goes to the mobile app companies that first bundle into a single compelling package information density, content access and mobility. An app company that can claim 10 to 15 percent of this market will be a significant player.

For now, investors are throwing lots of money at possible winners in the autonomous automotive race, who, in turn, are beginning to define the shape of the mobile app landscape in a driverless future. In fact, what we’re seeing now looks a lot like the early days of smartphones with companies like Tesla, for example, applying an Apple -esque strategy for smart car versus smartphone. Will these OS/app marketplaces be dominated by a Tesla — or Google (for that matter) — and command a 30 percent revenue share from apps, or will auto manufacturers with proprietary platforms capitalize on this opportunity? Questions like these — while at the same time wondering just who the winners and losers in AV will be — mean investment and entrepreneurship in the mobile app sector is an extremely lucrative but risky gamble.

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Live streams of karate and niche sports are terrifying major sports leagues

Published September 25, 2018

Of the 100 most-watched live telecasts in the US in 2005, 14 were sporting events; in 2015, sporting events comprised 93 of the top 100 telecasts. That shift occurred because TV shows are shifting to online or on-demand viewing, and live broadcasts of the biggest sports are the main thing TV networks have left to draw in live audiences. But the need to keep those sports on TV and off streaming services is only accelerating the rate at which young people are tuning into other sports leagues instead.

The rapid adoption of subscription video streaming services like Netflix and Hulu and of social live streams on Facebook, YouTube, and Twitch is enabling massive growth by sports leagues that you won’t normally see on TV. In the streaming era, more sports – and new types of sports like esports – keep thriving while interest in traditional pro leagues like the NFL and MLB declines.

OTT is where the growth is

The central narrative in the global film/TV industry right now is the response of incumbent companies to the growing dominance of Netflix, Amazon, and other streaming (aka “OTT” or over-the-top) services. The incumbents are merging to consolidate ownership of must-have shows onto a smaller number of new OTT services that will each be stronger.

The majority of American households have a Netflix subscription (i.e. access to one of Netflix’s 56M US accounts), another 20M have a Hulu subscription, the number of OTT-only households has tripled in 5 years, and 50% of US internet users use a subscription OTT service at least weekly. Almost one-third (29%) of Americans say they watch more streaming TV than linear TV, and among those age 18-29 it’s 54% (with 29% having cut the cord on linear TV entirely). People, especially young people, want to watch shows on their own time and on any device, and they get more value from a few $8-40 per month subscription platforms than a $100+ per month cable bill.

Meanwhile, social live-streaming platforms that got their start enabling people to either vlog or watch video gaming are expanding to all sorts of live broadcasting: Twitch averaged 1 million viewers at any given point of day in January, and there were 3.5 billion broadcasts over Facebook Live in the first two years after it launched (with 2 billion users viewing at least one).

We’ve hit the pivot point where media is streaming-first. Netflix is now the leading studio in Hollywood, spending $13 billion this year on content. Linear TV viewing is declining: every major cable network (except NBC Sports) has declining viewership and aging viewers. Between 2007 and 2017, the median age of primetime viewers on ABC, CBS, NBC, and Fox went up 8-11 years and are all in the 50s or 60s.

Major pro sporting events are the last bastion of TV networks because the dominant brands are, for the most part, only available live on TV. Beyond those, the only content getting large audiences to tune in simultaneously are a couple Hollywood awards shows and premieres or finales of a couple hit shows (Big Bang Theory and NCIS).

The exclusive broadcast rights to those live sports events – particularly the NFL, NBA, MLB, and top NCAA basketball and football games – are the last defense for major broadcast networks. They are the reason for younger Americans to not cut the cord. ESPN makes $7.6 billion per year in carriage fees from cable companies paying for the right to carry the main ESPN channel (the other ESPN channels add another $1 billion); that number is increasing even as ESPN’s viewership is declining.

Disney (ESPN’s owner) and other leading broadcasters don’t want to let people watch major sporting events online instead (at least not easily or cheaply) because doing so would pull the rug out from under their traditional revenue stream and OTT revenue (subscription + ads) won’t make up for it quickly enough. This problem is only exacerbated by the fact that TV networks are paying record sums for exclusive broadcast rights to top sports leagues out of fear that losing them to a rival could be a nail in their coffin.

This strategy is delaying, not stopping the shift in consumption habits. More and more young people are tuning out (or never tuning in) to the major pro sports on TV, and the median age of their audiences shows that: 64 for the PGA Tour, 58 for NASCAR, 57 for MLB, 52 for NCAA football and men’s basketball, and 50 for the NFL…and all are getting older. (Cable news networks, the other holdouts who are still doing well on live TV face the same situation: the average age of Fox News, MSNBC, and CNN viewers is now 65, 65, and 61 respectively.)

The major pro sports staying on linear TV has expanded the market opening for new sports to fill the open space with young people who mainly consume content online. In fact, a growing marketplace of different sports leagues (including esports) developing their own fanbases is an inevitability of the shift to OTT video as it lowers the barrier to entry to near-zero and let’s geographically dispersed fans unify in one place.

1. Lower barrier to entry for distribution

Lawn bowling is no longer your grandfather’s sports league. Mint Images/Getty Images

Niche sports leagues – or frankly, even big sports leagues that just aren’t at the scale of professional football, baseball, basketball, and hockey – have always had a hard time getting coverage on television. But you can produce and distribute video for an online audience more cheaply than for a television audience.

In fact with Facebook Live and Twitch, you can stream live video for free, and you can share clips across every social channel to attract interest. To launch your own OTT service or partner with an existing one, you don’t need to start with a massive audience from the beginning and you don’t need millions of dollars from sponsors just to break even.

Having signed over 150 new deals this year alone for its 20+ sports verticals (which will stream 2,500 live events in 2018), Austin-based FloSports has established itself as the go-to OTT partner for sports leagues with an established, passionate following that aren’t massive enough to garner regular ESPN-level coverage.

From rugby, track & field, and wrestling to bowling, competitive marching band, and ballroom dance, millions of Americans have participated in these activities in their youth and through clubs as adults but rarely see them on television. In fact, the rare instances when such sports are on TV – like their national championships – the league is usually paying large sums (potentially hundreds of thousands of dollars) for that airtime rather than getting paid by the broadcasters.

FloSports gives a home to the superfans of its partner leagues, with full coverage of the sport and commentary meant for real fans. It produces events in the manner best fit to highlight the action and turns superfans – who generally pay a subscription – into evangelists who recruit friends. There are numerous sports that have millions of participants yet no active, high-quality event coverage; those are underserved markets.

By tapping into this, FloSports properties (like FloWrestling, FloTrack, etc.) have gained hundreds of thousands of subscribers and created a surge of interest in teams like Oklahoma State’s wrestling team, which saw an 144% increase in live stream viewing and 68% growth in event attendance after joining FloWrestling (leading to them to set an all-time attendance record in the university’s basketball arena of 14,059 people). In the first half of 2018, FloSports’ various Instagram accounts collectively received 307M video views, more than the collective accounts of Fox Sports or of all NFL teams (and NFL Network).

2. Going global right away.

Johanne Defay of France at a World Surf League event. Mark Ralston/AFP/Getty Images

The top pro sports leagues have geographically concentrated fan-bases that fit the geographic restrictions of TV broadcasters, which end at a country’s border. Online streaming empowers sports that have large fan bases who aren’t geographically concentrated to aggregate in the digital sphere with enough eyeballs (and paying subscriptions) to drive engagement with the sport’s content through the roof.

Since being acquired in 2015 and renamed World Surf League, the governing body of professional surfing has developed a large global following – with 6.5M Facebook fans and 2.9M Instagram followers – through the launch of live streams and on-demand video on its website and mobile app, plus partnering with third-parties like Bleacher Report’s OTT service B/R Live. Only 20-25% of WSL’s viewers are in the US but since its competitions are streamed direct-to-consumer online, they were able to reach surfers around the world right away. After seeing WSL’s Facebook Live streams garner over 14M viewers in 2017, Facebook paid up to become the exclusive live-stream provider for WSL competitions for two years, beginning this past March.

3. Immediate data on audience engagement.

As with all offline-to-online shifts, OTT video streaming captures dramatically more data on audience demographics and engagement than television does, and it does it in real-time. This makes it easier for emerging sports leagues to partner with advertisers and show immediate ROI on their sponsorships, plus it informs their understanding of how to produce their particular type of sporting event for maximum audience engagement.

Karate Combat is a year-old league that builds off the existing base of karate participants and fans around the world (numbering in the tens of millions) with a new competition format specifically intended for OTT. The league allows full-contact fighting and sets the match in a pit (rather than a traditional fighting ring) for better camera angles. It also replaces the traditional focus on having a big in-person audience (which is expensive) and instead sets the fights in exotic locations (like the fight this coming Thursday night on top of the World Trade Center).

Like many emerging sports leagues, Karate Combat is vertically integrated: the league organizing the competitions is also the one producing and streaming the event coverage over its website, mobile apps, and social channels. This not only means it captures the content-related revenue from subscribers, advertisers, and numerous OTT distribution partners, but it sees every data point about fans’ viewing behavior and their interaction with various dashboards (like biometrics on each fighter) so they can optimize both online and offline aspects of the production.

4. Online means interactive

Jujitsu fighting is now an OTT service. South_agency/Getty Images

Online viewing creates the opportunity for functionality you can’t achieve with linear TV: interactive displays overlayed on or next to live video. Viewers can pull up and click through real-time stats, change camera views, or switch overlays (think the the yellow first-down line in NFL broadcasts or coloring around a hockey puck to help you track it on the ice). Ultimately, a more interactive experience means a more social and more entertaining experience (and the sort of deep engagement advertisers value too).

FloSports’ ju-jitsu live streams (FloGrappling) give subscribers multiple live cameras each covering simultaneous matches on different mats so they can click between them. This is a more personalized experience than passively watching one broadcast on TV and it gets that subscriber actively engaged, with their behavior providing valuable data points for FloSports and their deeper interaction likely more compelling to event sponsors.

The display might also highlight live comments from friends or friends-of-friends in order to draw viewers into a more social experience. Discussion of a specific live stream with others watching it has been a central feature for Twitch and Facebook Live and enables the league or team streaming the event to directly engage with fans around the world.

An exception to the OTT-first strategy may be in sports that are entirely new and have zero existing base of participants or fans. Karate, surfing, and video-gaming all have millions of passionate participants around the world, going back decades. A new league like the 3-year-old Drone Racing League (DRL), which has raised $21M in venture capital to develop the sport of competitive drone racing, has to artificially stimulate the development of a fanbase if it doesn’t want to wait years for grassroots competitions to create a critical mass of fans even for a niche OTT service. It’s unsurprising then that DRL has focused on striking TV deals with ESPN, Sky Sports, ProSiebenSat.1, and others to thrust it in front of large audiences from the start, like a new game show hoping its format will entice enough people to take interest.

Power is in the hands of the league owners

Ari Emanuel, chief executive officer of William Morris Endeavor Entertainment. Jonathan Alcorn/Bloomberg via Getty Images

The best position to be in right now is the owner of a sports league that’s rapidly growing in popularity. The competition for audience by both traditional media companies and tech platforms leaves a long list of distribution partners eager for must-have, exclusive content – especially content like sports events that fans want to want live together – and willing to pay up.

Moreover, vertical integration to control your fans’ content viewing experience and own your relationship with them has never been easier. There are direct subscriptions, advertisers, event sponsors, event tickets, a portfolio of possible OTT distribution deals, and merchandising. The potential revenue streams a league can develop are only more numerous when you add in launching a fantasy sports league – like World Surf League has done – and the recent nationwide legalization of sports betting in the US.

Endeavor, the parent company of Hollywood’s powerful WME-IMG talent agency, seems to have recognized this and is an early mover in the space. It bought two sports leagues that have relied on TV deals and event attendance revenue – UFC for $4B and the smaller but rapidly growing Professional Bull Riders for $100M – and, since they each own their content, launched direct-to-consumer subscription platforms (UFC Fight Pass and PBR Ridepass) for super-fans and cord-cutters. (Endeavor also paid $250M to acquire Neulion, the technology company whose infrastructure powers the OTT services of the UFC, PBR, World Surf League, and dozens of others.)

There’s opportunity for new streaming platforms focused on being the media partner for these emerging sports leagues. Inevitably, the opportunity for bundling will consolidate many of the niche subscriptions onto a small number of leading sports OTT platforms, and that’s a powerful market position for those platforms.

What is unclear is if they can defend themselves as the incumbent media and tech companies come around to this phenomenon and commit billions toward capturing the market. The leading sports broadcasting companies all have OTT offerings and want to make them as compelling to potential subscribers as possible even if they exclude content from the biggest pro sports. A larger company that can afford to spend huge sums on exclusive sports streaming rights (like Disney with ESPN/ABC, Comcast with NBC/Sky Sports, CBS with CBS Sports Network, or Discovery with Eurosport) might opt to buy a company like FloSports as part of their deep dive into the space or they might just aim to outbid them when a league’s contract comes up for renewal.

The hope for an independent OTT platform devoted to emerging sports leagues is they get big enough, fast enough that they can afford to keep winning the rights to emerging leagues as those leagues grow and offers from competitors bid prices up. These dedicated OTT services will likely have to secure long-term – think ten years – streaming rights deals or acquire control of some popular new sports leagues outright to hold their own.

Like online distribution triggered an explosion of digital publishing brands and social influencers for every imaginable niche, the rise of high-quality live streaming and subscription OTT services will allow a lot more sports leagues to build an audience and revenue base substantial enough to thrive. There’s more variety for consumers and resources than ever for those with a rapidly growing league to attract fans worldwide.

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With MuleSoft in fold, Salesforce gains access to data wherever it lives

Published September 25, 2018

When Salesforce bought MuleSoft last spring for the tidy sum of $6.5 billion, it looked like money well spent for the CRM giant. After all, it was providing a bridge between the cloud and the on-prem data center and that was a huge missing link for a company with big ambitions like Salesforce.

When you want to rule the enterprise, you can’t be limited by where data lives and you need to be able to share information across disparate systems. Partly that’s a simple story of enterprise integration, but on another level it’s purely about data. Salesforce introduced its intelligence layer, dubbed Einstein, at Dreamforce in 2016.

With MuleSoft in the fold, it’s got access to data cross systems wherever it lives, in the cloud or on-prem. Data is the fuel of artificial intelligence, and Salesforce has been trying desperately to get more data for Einstein since its inception.

It lost out on LinkedIn to Microsoft, which flexed its financial muscles and reeled in the business social network for $26.5 billion a couple of years ago. It’s undoubtedly a rich source of data that the company longed for. Next, it set its sights on Twitter (although Twitter was ultimately never sold, of course). After board and stockholder concerns, the company walked away.

Each of these forays was all about the data; frustrated, Salesforce went back to the drawing board. While MuleSoft did not supply the direct cache of data that a social network would have, it did provide a neat way for them to get at backend data sources — the very type of data that matters most to its enterprise customers.

Today, they have extended that notion beyond pure data access to a graph. You can probably see where this is going. The idea of a graph, the connections between say a buyer and the things they tend to buy or a person on a social network and people they tend to interact with, can be extended even to the network/API level, and that is precisely the story that Salesforce is trying to tell this week at the Dreamforce customer conference in San Francisco.

Visualizing connections in a data integration network in MuleSoft. Screenshot: Salesforce/MuleSoft

Maureen Fleming, program vice president for integration and process automation research at IDC, says that it is imperative that organizations view data as a strategic asset and act accordingly. “Very few companies are getting all the value from their data as they should be, as it is locked up in various applications and systems that aren’t designed to talk to each other. Companies who are truly digitally capable will be able to connect these disparate data sources, pull critical business-level data from these connections, and make informed business decisions in a way that delivers competitive advantage,” Fleming explained in a statement.

Configuring data connections on MuleSoft Anypoint Platform. Gif: Salesforce/MuleSoft

It’s hard to underestimate the value of this type of data is to Salesforce, which has already put MuleSoft to work internally to help build the new Customer 360 product announced today. It can point to how it’s providing this very type of data integration to which Fleming is referring on its own product set.

Bret Taylor, president and chief product officer at Salesforce, says that for his company all of this is ultimately about enhancing the customer experience. You need to be able to stitch together these different computing environments and data silos to make that happen.

“In the short term, [customer] infrastructure is often fragmented. They often have some legacy applications on premise, they’ll have some cloud applications like Salesforce, but some infrastructure in on Amazon or Google and Azure, and to actually transform the customer experience, they need to bring all this data together. And so it’s a really a unique time for integration technologies, like MuleSoft because it enables you to create a seamless customer experience, no matter where that data lives, and that means you don’t need to wait for infrastructure to be perfect before you can transform your customer experience.”

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Bleximo raises $1.5M for its quantum computing accelerators

Published September 25, 2018

Bleximo, a startup that aims to build “quantum accelerators” — basically quantum-based, application-specific integrated circuits — today announced it has raised a $1.5 million seed round led by Eniac Ventures. Other investors in this round include Boost VC, Creative Ventures, KEC Ventures and Gyan Kapur.

Instead of building a general-purpose quantum computer like IBM, Rigetti and others, Bleximo, which was founded by Cyclotron Road fellow and quantum physicist Alexei Marchenkov, wants to focus on building quantum processors that focus on very specific applications. Before founding Bleximo, Marchenkov worked at Rigetti Computing, where we worked on developing that company’s technology for general-purpose quantum computers.

“At Eniac, we believe general quantum computing is still far away, but Bleximo’s approach of building vertical quantum computing architecture will bring this nascent technology to the mainstream in a more practical way — much like vertical AI is here today before general AI,” said Vic Singh, founding general partner at Eniac Ventures. “We are excited to support founder Alexei Marchenkov, a recognized expert in quantum computing, and the Bleximo team to help build this reality.”

Right now, Bleximo is mostly looking at speeding up simulations of new materials and molecules for drug development. Quantum computing lends itself to solving these kinds of problems, though the company argues that its technology is just as applicable to solving problems in energy, finance, manufacturing and security.

Not everybody seems to agree that general quantum computing is all that far away, though, so it remains to be seen whether a real market for this kind of specialized quantum co-processors (Bleximo calls it a “qASIC”) will really develop, especially given that a quantum computer will also be some form of hybrid machine that combines classical and quantum computing. If it does, though, Bleximo seems well-positioned to capitalize on it, especially given that its technology will be a bit simpler (as far as one can say that about anything quantum computing) and won’t need the large amount of qubits with long coherence times that a general-purpose quantum computer would need.

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That weird nut Pokémon that showed up in Pokémon GO? It’s official now

Published September 25, 2018

This past Saturday, something pretty weird happened in Pokémon GO: Immediately after the monthly “Community Day” event came to a close, a strange, new, never-before-seen Pokémon showed up. And by “showed up,” I mean it was everywhere. Around the globe, this thing was spawning every few feet. A grey blob with a hex nut for a head; it wasn’t like anything that anyone had seen in-game before.

It looked like this:

Weirder yet: No one could actually catch it. If you managed to get it to stay in a Pokéball, it would always turn into something else (in most cases, it turned into a Ditto). Just a few hours later, it was mostly gone.

Was it just a glitch? Many players assumed that Niantic put this thing in as a placeholder and a glitch brought it into public view. Or did they really just drop an entirely new Pokémon into the game out of nowhere?

Three days later, we’ve got an answer: It’s not a glitch.

This video just popped up on the official Pokémon YouTube channel, shining a bit of light on what’s going on:

In short: Its name is Meltan, and it’s an upcoming Mythical Pokémon. It all seems to be a big publicity tie-in with the upcoming Let’s Go, Pikachu! and Let’s Go, Eevee! titles that’ll launch on the Switch next month. Based on the limited info we have so far, it seems like to get a Meltan in the new games, you’ll have to catch him in Pokémon GO.

This whole stunt was pretty damned clever. Thanks to special, limited-time spawns, Pokémon GO’s Community Day events are when just about anyone who still plays the game will be actively looking at their screen. By sneaking Meltan in there for a bit at the end, they pretty much guaranteed a wave of “WTF?” would roll around the world. All for a little grey blob with a nut on his head.

As for how to catch an actual Meltan rather than a Ditto-lookalike: that’s still a mystery. Catching Mythical Pokémon in GO thus far has involved “Special Research” quests — a series of tasks that take a few days or weeks of play to complete. We might be looking at another one of those here.

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Salesforce wants to end customer service frustration with Customer 360

Published September 25, 2018

How many times have you called into a company, answered a bunch of preliminary questions about the purpose of your call, then found that those answers didn’t make their way to the CSR who ultimately took your call.

This usually is because System A can’t talk to System B and it’s frustrating for the caller, who is already angry about having to repeat the same information again. Salesforce wants to help bring an end to that problem with their new Customer 360 product announced today at Dreamforce, the company’s customer conference taking place this week in San Francisco.

What’s interesting about Customer 360 from a product development perspective is that Salesforce took the technology from the $6.5 billion Mulesoft acquisition, and didn’t just turn that into a product, it also used the same technology internally to pull the various pieces together into a more unified view of the Salesforce product family. This should in theory allow the customer service representative talking to you on the phone to get the total picture of your interactions with the company, thereby reducing that need to repeat yourself because the information wasn’t passed on.

Screenshot: Salesforce

The idea here is to bring all of the different products — sales, service, community, commerce and marketing — into a single unified view of the customer. And they allow you to do this without actually writing any code, according to the company.

Adding a data source to Customer 360 Gif: Salesforce

This allows anyone who interacts with the customer to see the whole picture, a process that has eluded many companies and upset many customers. The customer record in Salesforce CRM is only part of the story, as is the marketing pitches and the ecommerce records. It all comes together to tell a story about that customer, but if the data is often trapped in silos, nobody can see that. That’s what Customer 360 is supposed to solve.

While Bret Taylor, Salesforce’s president and chief product officer says there were ways to make this happen before in Salesforce, they have never offered a product that does so in such a direct way. He says that the big brands like Apple, Amazon and Google have changed expectations in terms of how we presume to be treated when we connect with a brand. Customer 360 is focused on helping companies achieve that expectation level.

“Now, when people don’t get that experience, where the company that you’re interacting with doesn’t know who you are, it’s gone from a pleasant experience to an expectation, and that’s what we hear time and time again from our customers. And that’s why we’re so focused on integration, that single view of the customer is the ultimate value proposition of these experiences,” Taylor explained.

This product is aimed at the Salesforce admins who have been responsible in the past for configuring and customizing Salesforce products for the unique needs of each department or overall organization. They can configure the Customer 360 to pull data from Salesforce and other products too.

Customer 360 is being piloted in North America right now and should GA some time next year.

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Data.world raises $12M to help Fortune 500 companies close the great data divide

Published September 25, 2018

Airbnb, Uber, Lyft, Warby Parker and a long list of other startups of the 21st century have appointed C-level employees to roles focused exclusively on data science.

These digital-age companies have established “data cultures,” which provide employees broad access to high-quality data, advocate for data literacy and have data-driven decision-making processes, according to Carl Anderson, who previously led data analytics and data science at Warby Parker and WeWork.

Fortune 500 companies are still a long way from this ideal. Data.world, a sort of social networking site for data projects and teams, wants to give them the tools to get there. Its collaborative data community gives employees at large businesses a place to upload, exchange and catalog data sets, then discuss their findings with other employees.

“There is a huge data divide that has occurred between these big traditional companies that were built from the ground up from atoms and these digital-age companies that were built from the ground up from bits,” data.world chief executive officer Brett Hurt told TechCrunch.

Today, Austin-based data.world is announcing a $12 million investment led by Workday Ventures, with participation from The Associated Press (AP) and OurCrowd. The round brings the company’s total raised since its 2016 launch to $45.3 million, including an $18.7 million Series B in February 2017.

Data.world will use the capital to continue building out its enterprise offering, which it rolled out recently. The enterprise product, which counts AP as a customer, connects with Tableau, Microsoft Excel and Power BI, IBM SPSS, MicroStrategy, Google Data Studio and more.

Hurt, who previously founded the now-public customer reviews and social commerce platform BazaarVoice, says GitHub was a big inspiration for data.world.

“They’ve done an incredible job of democratizing access to code,” he said. “They made every programmer in the world better by giving them access to the world’s code, and data is one of those things that’s very liberating if you have access to [it].”

The data.world platform is also widely used by journalists, hence the investment from the AP. Using data.world, journalists can access complex data sets quickly and efficiently. Hurt says it’s “changed the game for data journalism.”

“AP was born back in 1846 as a cooperative of newspaper publishers sharing access to a fast horse to get news updates from the war in Mexico,” said Jim Kennedy, AP’s senior vice president for strategy and enterprise development in a statement. “The data.world platform is like that fast horse, enabling us to open important new territory for newsgathering in the 21st century.”

Other backers of data.world include Chicago Ventures, Shasta Ventures, Fyrfly Venture Partners, Hunt Technology Ventures LP, LiveOak Venture Partners and Sherpa Asset Management AG.

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Chef launches deeper integration with Microsoft Azure

Published September 25, 2018

DevOps automation service Chef today announced a number of new integrations with Microsoft Azure. The news, which was announced at the Microsoft Ignite conference in Orlando, Florida, focuses on helping enterprises bring their legacy applications to Azure and ranges from the public preview of Chef Automate Managed Service for Azure to the integration of Chef’s InSpec compliance product with Microsoft’s cloud platform.

With Chef Automate as a managed service on Azure, which provides ops teams with a single tool for managing and monitoring their compliance and infrastructure configurations, developers can now easily deploy and manage Chef Automate and the Chef Server from the Azure Portal. It’s a fully managed service and the company promises that businesses can get started with using it in as little as thirty minutes (though I’d take those numbers with a grain of salt).

When those configurations need to change, Chef users on Azure can also now use the Chef Workstation with Azure Cloud Shell, Azure’s command line interface. Workstation is one of Chef’s newest products and focuses on making ad-hoc configuration changes, no matter whether the node is managed by Chef or not.

And to remain in compliance, Chef is also launching an integration of its InSpec security and compliance tools with Azure. InSpec works hand in hand with Microsoft’s new Azure Policy Guest Configuration (who comes up with these names?) and allows users to automatically audit all of their applications on Azure.

“Chef gives companies the tools they need to confidently migrate to Microsoft Azure so users don’t just move their problems when migrating to the cloud, but have an understanding of the state of their assets before the migration occurs,” said Corey Scobie, the senior vice president of products and engineering at Chef, in today’s announcement. “Being able to detect and correct configuration and security issues to ensure success after migrations gives our customers the power to migrate at the right pace for their organization.”

more Microsoft Ignite 2018 coverage

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LinkedIn steps into business intelligence with the launch of Talent Insights

Published September 25, 2018

LinkedIn may be best known as a place where people and organizations keep public pages of their professional profiles, using that as a starting point for networking, recruitment and more — a service that today that has racked up more than 575 million users, 20 million companies and 15 million active job listings. But now under the ownership of Microsoft, the company has increasingly started to build a number of other services; today sees the latest of these, the launch of a new feature called Talent Insights.

Talent Insights is significant in part because it is LinkedIn’s first foray into business intelligence, that branch of enterprise analytics aimed at helping execs and other corporate end users make more informed business decisions.

Talent Insights is also notable because it’s part of a trend, where LinkedIn has been launching a number of other services that take it beyond being a straight social network, and more of an IT productivity tool. They have included a way for users to look at and plan commutes to potential jobs (or other businesses); several integrations with Microsoft software including resume building in Word and Outlook integrations; and adding in more CRM tools to its Sales Navigator product.

Interestingly, it has been nearly a year between LinkedIn first announcing Talent Insights and actually launching it today. The company says part of the reason for the gap is because it has been tinkering with it to get the product right: it’s been testing it with a number of customers — there are now 100 using Talent Insights — with employees in departments like human resources, recruitment and marketing using it.

The product that’s launching today is largely similar to what the company previewed a year ago: there are two parts to it, one focused on people at a company, called “Talent Pool,” and another focused on data about a company, “Company Report.”

 

The first of these will let businesses run searches across the LinkedIn database to discover talent with characteristics similar to those what a business might already be hiring, and figure out where they are at the moment (in terms of location and company affiliation), and where they are moving, what skills they might have in common, and how to better spot those who might be on the way up based on all of this.

The second set of data tools (Company Report) provides a similar analytics profile but about your organisation and those that you would like to compare against it in areas like relative education levels and schools of the respective workforces; which skills employees have or don’t have; and so on.

Dan Francis, a senior product manager running Talent Insights, said in an interview that for now the majority of the data that’s being used to power Talent Insights is primarily coming from LinkedIn itself, although there are other data sources also added into it, such as material from the Bureau of Labor Statistics. (And indeed, even some of LinkedIn’s other data troves, for example in its recruitment listings, or even in its news/content play, the material that populates both comes from third parties.)

He also added that letting companies feed in their own data to use that in number crunching — either for their own reports or those of other companies — “is on our roadmap,” an indication that LinkedIn sees some mileage in this product.

Adding in more data sources could also help the company appear more impartial and accurate: although LinkedIn is huge and the biggest repository of information of its kind when it comes to professional profiles, it’s not always accurate and in some cases can be completely out of date or intentionally misleading.

(Related: LinkedIn has yet to launch any “verified”-style profiles for people, such as you get on Facebook or Twitter, to prove they are who they say they are, that they work where they claim to work, and that their backgrounds are what they claim them to be. My guess as to why that has not been rolled out is that it would be very hard, if not impossible, to verify everything in a clear way, and so LinkedIn relies on the power of public scrutiny to keep people mostly honest.)

“We’re pretty transparent about this,” said Francis. “We don’t position this as a product as comprehensive, but as a representative sample. Ensuring data quality is good is something that we are careful about. We know sometimes data is not perfect. In some cases it is directional.”

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