Internet of Things

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Otonomo raises $46 million to expand its automotive data marketplace

New vehicles today can produce a treasure trove of data. Without the proper tools, that data will sit undisturbed, rendering it worthless.

A number of companies have sprung up to help automakers manage and use data generated from connected cars. Israeli startup Otonomo is one such player that jumped on the scene in 2015 with a cloud-based software platform that captures and anonymizes vehicle data so it can then be used to create apps to provide services such as electric vehicle management, subscription-based fueling, parking, mapping, usage-based insurance and emergency service.

The startup announced this week it has raised $46 million to take its automotive data platform further. The capital was raised in a Series C funding round that included investments from SK Holdings, Avis Budget Group and Alliance Ventures. Existing investors Bessemer Venture Partners also participated. Otonomo has raised $82 million, to date.

The funds will be used to help Otonomo scale its business, improve its products and help it remain competitive, according to the company. Otonomo is also aiming to expand into new markets, particularly South Korea and Japan.

“We now have the expanded resources needed to deliver on our vision of making car data as valuable as possible for the entire transportation ecosystem, while adhering to the strictest privacy and security standards,” Otonomo CEO and founder Ben Volkow said in a statement.

Otonomo’s pitch focuses on creating opportunities to monetize connected car data while keeping it safe from the moment it is captured. Once the data is securely collected, the platform modifies it so companies can use it to develop apps and services for fleets, smart cities and individual customers. The platform also enables GDPR, CCPA and other privacy regulation-compliant solutions using both personal and aggregate data.

Today, Otonomo’s platform takes in 2.6 billion data points a day from more than 20 million vehicles through partnerships with more than automakers, fleets and farm and construction manufacturers. Otonomo has more than 25 partnerships, a list that includes Daimler, BMW, Mitsubishi Motor Company and Avis Budget Group. The company said it’s preparing to bring on seven more customers.

That opportunity for Otonomo is growing based on forecasts, including one from SBD Automotive that predicts connected cars will account for more than 70% of cars sold in North American and European markets in 2020.

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Estimote launches wearables for workplace-level contact tracing for COVID-19

Bluetooth location beacon startup Estimote has adapted its technological expertise to develop a new product designed specifically for curbing the spread of COVID-19. The company created a new range of wearable devices that co-founder Steve Cheney believes can enhance workplace safety for those who have to be co-located at a physical workplace even while social distancing and physical isolation measures are in place.

The devices, called simply the “Proof of Health” wearables, aim to provide contact tracing — in other words, monitoring the potential spread of the coronavirus from person-to-person — at the level of a local workplace facility. The intention is to give employers a way to hopefully maintain a pulse on any possible transmission among their workforces and provide them with the ability to hopefully curtail any local spread before it becomes an outsized risk.

The hardware includes passive GPS location tracking, as well as proximity sensors powered by Bluetooth and ultra-wide-band radio connectivity, a rechargeable battery and built-in LTE. It also includes a manual control to change a wearer’s health status, recording states like certified health, symptomatic and verified infected. When a user updates their state to indicate possible or verified infection, that updates others they’ve been in contact with based on proximity and location-data history. This information is also stored in a health dashboard that provides detailed logs of possible contacts for centralized management. That’s designed for internal use within an organization for now, but Cheney tells me he’s working now to see if there might be a way to collaborate with WHO or other external health organizations to potentially leverage the information for tracing across enterprises and populations, too.

These are intended to come in a number of different form factors: the pebble-like version that exists today, which can be clipped to a lanyard for wearing and displaying around a person’s neck; a wrist-worn version with an integrated adjustable strap; and a card format that’s more compact for carrying and could work alongside traditional security badges often used for facility access control. The pebble-like design is already in production and 2,000 will be deployed now, with a plan to ramp production for as many as 10,000 more in the near future using the company’s Poland-based manufacturing resources.

Estimote has been building programmable sensor tech for enterprises for nearly a decade and has worked with large global companies, including Apple and Amazon . Cheney tells me that he quickly recognized the need for the application of this technology to the unique problems presented by the pandemic, but Estimote was already 18 months into developing it for other uses, including in hospitality industries for employee safety/panic button deployment.

“This stack has been in full production for 18 months,” he said via message. “We can program all wearables remotely (they’re LTE connected). Say a factory deploys this — we write an app to the wearable remotely. This is programmable IoT.

“Who knew the virus would require proof of health vis-a-vis location diagnostics tech,” he added.

Many have proposed technology-based solutions for contact tracing, including leveraging existing data gathered by smartphones and consumer applications to chart transmission. But those efforts also have considerable privacy implications, and require use of a smartphone — something Cheney says isn’t really viable for accurate workplace tracking in high-traffic environments. By creating a dedicated wearable, Cheney says that Estimote can help employers avoid doing something “invasive” with their workforce, since it’s instead tied to a fit-for-purpose device with data shared only with their employers, and it’s in a form factor they can remove and have some control over. Mobile devices also can’t do nearly as fine-grained tracking with indoor environments as dedicated hardware can manage, he says.

And contact tracing at this hyperlocal level won’t necessarily just provide employers with early warning signs for curbing the spread earlier and more thoroughly than they would otherwise. In fact, larger-scale contact tracing fed by sensor data could inform new and improved strategies for COVID-19 response.

“Typically, contact tracing relies on the memory of individuals, or some high-level assumptions (for example, the shift someone worked),” said Brianna Vechhio-Pagán of John Hopkins University’s Applied Physics Lab via a statement. “New technologies can now track interactions within a transmissible, or ~6-foot range, thus reducing the error introduced by other methods. By combining very dense contact tracing data from Bluetooth and UWB signals with information about infection status and symptoms, we may discover new and improved ways to keep patients and staff safe.”

With the ultimate duration of measures like physical distancing essentially up-in-the-air, and some predictions indicating they’ll continue for many months, even if they vary in terms of severity, solutions like Estimote’s could become essential to keeping essential services and businesses operating while also doing the utmost to protect the health and safety of the workers incurring those risks. More far-reaching measures might be needed, too, including general-public-connected, contact-tracing programs, and efforts like this one should help inform the design and development of those.

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Microsoft launches Edge Zones for Azure

Microsoft today announced the launch of Azure Edge Zones, which will allow Azure users to bring their applications to the company’s edge locations. The focus here is on enabling real-time low-latency 5G applications. The company is also launching a version of Edge Zones with carriers (starting with AT&T) in preview, which connects these zones directly to 5G networks in the carrier’s data center. And to round it all out, Azure is also getting Private Edge Zones for those who are deploying private 5G/LTE networks in combination with Azure Stack Edge.

In addition to partnering with carriers like AT&T, as well as Rogers, SK Telecom, Telstra and Vodafone, Microsoft is also launching new standalone Azure Edge Zones in more than 10 cities over the next year, starting with LA, Miami and New York later this summer.

“For the last few decades, carriers and operators have pioneered how we connect with each other, laying the foundation for telephony and cellular,” the company notes in today’s announcement. “With cloud and 5G, there are new possibilities by combining cloud services, like compute and AI with high bandwidth and ultra-low latency. Microsoft is partnering with them bring 5G to life in immersive applications built by organization and developers.”

This may all sound a bit familiar, and that’s because only a few weeks ago, Google launched Anthos for Telecom and its Global Mobile Edge Cloud, which at first glance offers a similar promise of bringing applications close to that cloud’s edge locations for 5G and telco usage. Microsoft argues that its offering is more comprehensive in terms of its partner ecosystem and geographic availability. But it’s clear that 5G is a trend all of the large cloud providers are trying to tap into. Microsoft’s own acquisition of 5G cloud specialist Affirmed Networks is yet another example of how it is looking to position itself in this market.

As far as the details of the various Edge Zone versions go, the focus of Edge Zones is mostly on IoT and AI workloads, while Microsoft notes that Edge Zones with Carriers is more about low-latency online gaming, remote meetings and events, as well as smart infrastructure. Private Edge Zones, which combine private carrier networks with Azure Stack Edge, is something only a small number of large enterprise companies would likely to look into, given the cost and complexity of rolling out a system like this.

 

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Microsoft acquires 5G specialist Affirmed Networks

Microsoft today announced that it has acquired Affirmed Networks, a company that specializes in fully virtualized, cloud-native networking solutions for telecom operators.

With its focus on 5G and edge computing, Affirmed looks like the ideal acquisition target for a large cloud provider looking to get deeper into the telco business. According to Crunchbase, Affirmed raised a total of $155 million before this acquisition, and the company’s more than 100 enterprise customers include the likes of AT&T, Orange, Vodafone, Telus, Turkcell and STC.

“As we’ve seen with other technology transformations, we believe that software can play an important role in helping advance 5G and deliver new network solutions that offer step-change advancements in speed, cost and security,” writes Yousef Khalidi, Microsoft’s corporate vice president for Azure Networking. “There is a significant opportunity for both incumbents and new players across the industry to innovate, collaborate and create new markets, serving the networking and edge computing needs of our mutual customers.”

With its customer base, Affirmed gives Microsoft another entry point into the telecom industry. Previously, the telcos would often build their own data centers and stuff it with costly proprietary hardware (and the software to manage it). But thanks to today’s virtualization technologies, the large cloud platforms are now able to offer the same capabilities and reliability without any of the cost. And unsurprisingly, a new technology like 5G, with its promise of new and expanded markets, makes for a good moment to push forward with these new technologies.

Google recently made some moves in this direction with its Anthos for Telecom and Global Mobile Edge Cloud, too. Chances are we will see all of the large cloud providers continue to go after this market in the coming months.

In a somewhat odd move, only yesterday Affirmed announced a new CEO and president, Anand Krishnamurthy. It’s not often that we see these kinds of executive moves hours before a company announces its acquisition.

The announcement doesn’t feature a single hint at today’s news and includes all of the usual cliches we’ve come to expect from a press release that announces a new CEO. “We are thankful to Hassan for his vision and commitment in guiding the company through this extraordinary journey and positioning us for tremendous success in the future,” Krishnamurthy wrote at the time. “It is my honor to lead Affirmed as we continue to drive this incredible transformation in our industry.”

We asked Affirmed for some more background about this and will update this post if we hear more. Update: an Affirmed spokesperson told us that this was “part of a succession plan that had been determined previously.  So it was not related [to] any specific event.”

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Visual One smartens up home security cameras with object and action recognition

“Smart” cameras are to be found in millions of homes, but the truth is they’re not all that smart. Facial recognition and motion detection are their main tricks… but what if you want to know if the dog jumped on the couch, or if your toddler is playing with the stove? Visual One equips cameras with the intellect to understand a bit more of the world and give you more granular — and important — information.

Founder Mohammad Rafiee said that the idea came to him after he got a puppy (Zula) and was dissatisfied with the options he had for monitoring her activities while he was away. Here she is doing what dogs do best:

There are no bad dogs, but chairs are for people

“There were specific things I wanted to know were happening, like I wanted to check if the dog got picked up by the dog walker. The cameras’ motion detection is useless — she’s always moving,” he lamented. “In fact, with a lot of these cameras, just a change in the lighting or wind or rain can trigger the motion alert, so it’s completely impractical.”

“My background is in machine learning. I was thinking about it, and realized we’re at a stage where this problem is starting to become solvable,” he continued.

Some tasks in computer vision, indeed, are as good as solved — detecting faces and common objects such as cars and bikes can be done quickly and efficiently. But that’s not always useful — what’s the point of knowing someone rode their bike past your house? In order for this to have value, the objects need to be understood as part of a greater context, and that’s what Rafiee and Visual One are undertaking.

Unfortunately, it’s far from easy — or else everyone would be doing it already. Identifying a cat is simple, and identifying a table is simple, but identifying a cat on a table is surprisingly hard.

“It’s a very difficult problem. So we’re breaking it down to things we can solve right now, then building on that,” Rafiee explained. “With deep learning techniques we can identify different objects, and we build models on top of those to specify different interactions, or specific objects being in specific locations. Like a car in the wrong spot, or a dog getting on a couch. We can recognize that with high accuracy right now — we have a list of supported objects and models that we’re expanding.”

In case you’re not convinced that the capabilities are that much advanced from the usual “activity in the living room” or “Kendra is at the front door” notifications, here are a few situations that Visual One is set up to detect:

  • Kid playing with the stove
  • Toddler climbing furniture
  • Kid holding a knife
  • Baby left alone for too long
  • Raccoon getting into garbage
  • Elderly person taking her medications
  • Elderly person in bed for too long
  • Car parked in the wrong spot
  • Garage door left open
  • Dog chewing on a shoe
  • Cat scratching the furniture

The process for creating these triggers is pretty straightforward

If one of those doesn’t make you think “actually… that would be really good to know,” then perhaps a basic security camera is enough for your purposes after all. Not everyone has a knife-curious toddler. But those of you who do are probably scrolling furiously past this paragraph looking for where to buy one of these things.

Unfortunately Visual One isn’t something you can just install on any old existing system — with the prominent exception of Nest, into which it can plug. Camera workflows are generally too locked down for security and privacy purposes to allow for third-party apps and services to be slipped in. But the company isn’t trying to bankrupt everyone with an ultra-luxury offering. It’s using off-the-shelf cameras from Wyze and loading them with its own software stack.

Rafiee said he pictures Visual One as a mid-tier option for people who want to have more than a basic camera setup but aren’t convinced by the more expensive plays. That way the company avoids going head-on with commodity hardware’s race to the bottom or the brand warfare taking place between Google and Amazon’s Nest and Ring. Cameras cost $30-$40, and the service is $7 per month currently.

Ultimately the low-end companies may want to license from Visual One, while the high-end companies will be developing their own full stack at great cost, making it difficult for them to go downmarket. “Hardware is hard, and AI is specialized — unless you’re a giant company it’s hard to do both. I think we can fill the gap in the market for mid-market companies without those resources,” he said.

Of course privacy is paramount as well, and Rafiee said that because of the way their system works, although the AI lives in the cloud and therefore requires the cameras to be online (like most others), no important user data needs to be or will be stored on Visual One servers. “We do inference in the cloud so we can be hardware agnostic, but we don’t need to store any data. So we don’t add any risk,” he said.

Visual One is launching today (after a stint in YC’s latest cohort) with an initial set of objects and interactions, and will continue developing more as it observes which use cases prove popular and effective.

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5G is now live in 24 markets, GSMA predicts it’ll be 20% of global connections by 2025 — and eyes a big tech break-up

The next-gen flavor of mobile connectivity, 5G, is now live in 24 markets globally, according to GSMA’s annual state of the global mobile economy report.

The cutting edge network tech is capable of supporting speeds up to 100x faster than LTE/4G and delivering latency of just a few milliseconds, as well as being able to connect many more devices per cell site. As it rolls out, it’s expected to underpin a new wave of “smarter” digital services which bake in real-time AI assistance and help drive the digitization of legacy industries.

In last year’s report the carrier association didn’t break out a firm figure for markets where 5G is live — but dubbed the tech “a reality” after commercial launches in the US and South Korea towards the end of 2018. It also said it was expecting 16 more “major countries” to have launched 5G networks by the end of 2019.

It’s now touting “significant traction” for 5G — saying 79 operators across a further 39 markets had announced plans to launch commercial 5G services as of January 20, 2020. 

As it stands actual 5G connections remain a fraction of the connectivity pie vs current (4G) and previous gen cellular favors. Per the report, 4G became the dominant mobile tech globally in 2019 — with over 4BN connections, accounting for 52% of total connections (excluding licensed cellular IoT).

The GSMA expects 4G connections to continue to grow for the next few years, peaking at just under 60% of global connections by 2023.

For 5G its forecast is that it will account for a fifth (20%) of global connections by 2025, with the carrier association expecting “particularly strong” take-up across developed Asia, North America and Europe.

(For wider context, almost half of the global population (3.8BN people) are now users of the mobile internet as a whole (2G-5G), per the report — which is forecast to grow to 61% (5BN people) by 2025.)

It’s worth emphasizing that the presence of 5G in a market does not mean universal coverage.

On the contrary, 5G rollouts have tended to be targeted on urban centers. Which means 5G availability in the 24 markets that have launched commercial networks so far is likely highly limited vs population. There are also still relatively few 5G smartphones vs non-5G handsets (though since this time last year more are being unboxed; Sony, for example, just announced its first 5G handsets).

Perhaps, most importantly, consumer demand for the next-gen flavor of connectivity has yet to be robustly stood up. The GSMA’s report poses the (existential, for telcos) question of: “Will they pay for it?”

The number of live 5G markets is increasing by the day and consumers’ awareness of the technology is also growing as hype makes way for reality. However, there is wide variation across the globe in terms of intentions to upgrade to 5G and the willingness to pay more for it,” it concedes.

“In general, consumers in South Korea and China – having witnessed some of the earliest launches – appear to be the most excited by the prospect of upgrading to 5G, while those in the US, Europe and Japan seem more content with 4G for the time being,” the GSMA adds, before striking an upbeat note: “5G is still in its infancy though; as more tangible use cases are deployed, more consumers will appreciate the benefits of 5G.”

Aka, 5G needs a killer app. But one has yet to emerge. (Edit note: A global pandemic that triggers a mass transition to remote working and virtualized socializing could have potential though. After all, concerns about the corona virus did force the GSMA to cancel its own annual shindig, MWC, just last month.)

Despite the report’s prediction that consumers will, down the line, be sold on 5G’s “benefits” another graphic in the report maps out the current reality — that “awareness of 5G does not necessarily translate into an intention to upgrade”.

It shows adults in markets including the UK, Australia, Spain and Italy having high awareness of the tech but low intent to pay for 5G, with less than 35% saying they want to upgrade. The US market also has a similarly high level of awareness of 5G — and only a slightly higher intention to upgrade (~40%+). 

The GSMA writes that more needs to be done by carriers to “raise awareness” of other “benefits” than just higher data speeds, touting claimed advantages such as “improved mobile service coverage”, “innovative new services” and “connectivity for previously unconnected devices” as having 5G marketing potential.

However, on the latter point at least, the report also chronicles variable and often low appetite — certainly outside China — for a range of ‘smart’ devices…

Still, the GSMA predicts billions more IoT devices will be coming on stream over the next five years — saying that between 2019 and 2025 the number of global IoT connections will more than double to almost 25 billion, while it expects global IoT revenue to more than triple to $1.1 trillion.

Another segment of the report deals with the perennial issue of stagnant operator revenue growth vs Internet companies, with the GSMA noting telcos continue to lag tech giants and major device makers.

For many operators, revenue growth as a percentage is in the low single digits, if that,” it writes. “As core telecoms revenue stagnates, a common strategy now for major operator groups is to seek revenue growth from adjacent services. Pay TV, media, IoT, enterprise solutions and the broader array of digital services still only account for a minor share of operator revenues (10–20% for most), although there are a few notable exceptions, largely enabled by M&A activity.”

It’s perhaps no surprise, then, that top of the GSMA’s 2025 prediction/wish-list is a bold one that one of the GAFA companies (Google, Apple, Facebook and Amazon) will be broken up. (It makes not suggestion of which — though plenty of American eyes are now on Google.)

Other near-term hopes on the GSMA’s list are that “AR eye glasses reach the mass market with a form factor from at least one global OEM”; health wearables become “part of the solution to overburdened public health systems”; and “private enterprise networks explode and become a battleground between telcos and cloud companies” (we don’t think they mean explode literally). 

There’s also another 2025 prediction for 5G — that the technology becomes “the first generation in the history of mobile to have a bigger impact on enterprise than consumers”.

Which is certainly one way to silver-line a low-demand ‘cloud’ and hedge (hopefully) for business buy-in to make up for lacklustre consumer desire to pay more to do the same stuff slightly faster* (*depending on network conditions). 

Governments and regulators must play their part to help propel 5G into commercial use by implementing policies that encourage advanced technologies (e.g. AI and IoT) to be applied across all economic sectors,” the GSMA writes elsewhere in the report — a call to action that aligns exactly with policy priorities recently set out by the new European Commission, suggesting telco lobbying in Brussels has borne fruit

Thierry Breton, the Commissioner for internal market — who’s now driving a pan-EU strategy to encourage the pooling and reuse of industrial data that leans heavily on the deployment of what’s he’s called “critical” 5G networks — is also a former chairman and CEO of France Telecom.

You can download the full GSMA report here.

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Cartesiam helps developers bring AI to microcontrollers

Cartesiam, a startup that aims to bring machine learning to edge devices powered by microcontrollers, has launched a new tool for developers who want an easier way to build services for these devices. The new NanoEdge AI Studio is the first IDE specifically designed for enabling machine learning and inferencing on Arm Cortex-M microcontrollers, which power billions of devices already.

As Cartesiam GM Marc Dupaquier, who co-founded the company in 2016, told me, the company works very closely with Arm, given that both have a vested interest in having developers create new features for these devices. He noted that while the first wave of IoT was all about sending data to the cloud, that has now shifted and most companies now want to limit the amount of data they send out and do a lot more on the device itself. And that’s pretty much one of the founding theses of Cartesiam. “It’s just absurd to send all this data — which, by the way, also exposes the device from a security standpoint,” he said. “What if we could do it much closer to the device itself?”

The company first bet on Intel’s short-lived Curie SoC platform. That obviously didn’t work out all that well, given that Intel axed support for Curie in 2017. Since then, Cartesiam has focused on the Cortex-M platform, which worked out for the better, given how ubiquitous it has become. Since we’re talking about low-powered microcontrollers, though, it’s worth noting that we’re not talking about face recognition or natural language understanding here. Instead, using machine learning on these devices is more about making objects a little bit smarter and, especially in an industrial use case, detecting abnormalities or figuring out when it’s time to do preventive maintenance.

Today, Cartesiam already works with many large corporations that build Cortex-M-based devices. The NanoEdge Studio makes this development work far easier, though. “Developing a smart object must be simple, rapid and affordable — and today, it is not, so we are trying to change it,” said Dupaquier. But the company isn’t trying to pitch its product to data scientists, he stressed. “Our target is not the data scientists. We are actually not smart enough for that. But we are unbelievably smart for the embedded designer. We will resolve 99% of their problems.” He argues that Cartesiam reduced time to market by a factor of 20 to 50, “because you can get your solution running in days, not in multiple years.”

One nifty feature of the NanoEdge Studio is that it automatically tries to find the best algorithm for a given combination of sensors and use cases and the libraries it generates are extremely small and use somewhere between 4K to 16K of RAM.

NanoEdge Studio for both Windows and Linux is now generally available. Pricing starts at €690/month for a single user or €2,490/month for teams.

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Mirantis co-founder launches FreedomFi to bring private LTE networks to enterprises

Boris Renski, the co-founder of Mirantis, one of the earliest and best-funded players in the OpenStack space a few years ago (which then mostly pivoted to Kubernetes and DevOps), has left his role as CMO to focus his efforts on a new startup: FreedomFi. The new company brings together open-source hardware and software to give enterprises a new way to leverage the newly opened 3.5 GHz band for private LTE and — later — 5G IoT deployments.

“There is a very broad opportunity for any enterprise building IoT solutions, which completely changes the dynamic of the whole market,” Renski told me when I asked him why he was leaving Mirantis. “This makes the whole space very interesting and fast-evolving. I felt that my background in open source and my existing understanding of the open-source landscape and the LTE space […] is an extremely compelling opportunity to dive into headfirst.”

Renski told me that a lot of the work the company is doing is still in its early stages, but the company recently hit a milestone when it used its prototype stack to send messages across its private network over a distance of around 2.7 miles.

Mirantis itself worked on bringing Magma, a Facebook-developed open-source tool for powering some of the features needed for building access networks, into production. FreedomFi is also working with the OpenAirInterface consortium, which aims to create an ecosystem for open-source software and hardware development around wireless innovation. Most, if not all, of the technology the company will develop over time will also be open source, as well.

Renski, of course, gets to leverage his existing connections in the enterprise and telco industry with this new venture, but he also told me that he plans to leverage the Mirantis playbook as he builds out the company.

“At Mirantis, our journey was that we started with basically offering end-to-end open-source cloud buildouts to a variety of enterprises back when OpenStack was essentially the only open-source cloud project out there,” he explained. “And we spent a whole bunch of time doing that, engaging with customers, getting customer revenue, learning where the bottlenecks are — and then kind of gradually evolving into more of a leveraged business model with a subscription offering around OpenStack and then MCP and now Kubernetes, Docker, etc. But the key was to be very kind of customer-centric, go get some customer wins first, give customers a services-centric offering that gets them to the result, and then figure out where the leveraged business model opportunities are.”

Currently, enterprises that want to attempt to build their own private LTE networks — and are willing to spend millions on it — have to go to the large telecom providers. Those companies, though, aren’t necessarily interested in working on these relatively small deployments (or at least “small” by the standards of a telco).

Renski and his team started the project about two months ago and for now, it remains self-funded. But the company already has five pilots lined up, including one with a company that produces large-scale events and another with a large real estate owner, and with some of the tech falling in place, Renski seems optimistic that this is a project worth focusing on. There are still some hurdles to overcome and Renski tells me the team is learning new things every day. The hardware, for example, remains hard to source and the software stack remains in flux. “We’re probably at least six months away from having solved all of the technology and business-related problems pertaining to delivering this kind of end-to-end private LTE network,” he said.

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No pan-EU Huawei ban as Commission endorses 5G risk mitigation plan

The European Commission has endorsed a risk mitigation approach to managing 5G rollouts across the bloc — meaning there will be no pan-EU ban on Huawei. Rather it’s calling for Member States to coordinate and implement a package of “mitigating measures” in a 5G toolbox it announced last October and has endorsed today.

“Through the toolbox, the Member States are committing to move forward in a joint manner based on an objective assessment of identified risks and proportionate mitigating measures,” it writes in a press release.

It adds that Member States have agreed to “strengthen security requirements, to assess the risk profiles of suppliers, to apply relevant restrictions for suppliers considered to be high risk including necessary exclusions for key assets considered as critical and sensitive (such as the core network functions), and to have strategies in place to ensure the diversification of vendors”.

The move is another blow for the Trump administration — after the UK government announced yesterday that it would not be banning so-called “high risk” providers from supplying 5G networks.

Instead the UK said it will place restrictions on such suppliers — barring their kit from the “sensitive” ‘core’ of 5G networks, as well as from certain strategic sites (such as military locations), and placing a 35% cap on such kit supplying the access network.

However the US has been amping up pressure on the international community to shut the door entirely on the Chinese tech giant, claiming there’s inherent strategic risk in allowing Huawei to be involved in supplying such critical infrastructure — with the Trump administration seeking to demolish trust in Chinese-made technology.

Next-gen 5G is expected to support a new breed of responsive applications — such as self-driving cars and personalized telemedicine — where risks, should there be any network failure, are likely to scale too.

But the Commission take the view that such risks can be collectively managed.

The approach to 5G security continues to leave decisions on “specific security” measures as the responsibility of Member States. So there’s a possibility of individual countries making their own decisions to shut out Huawei. But in Europe the momentum appears to be against such moves.

“The collective work on the toolbox demonstrates a strong determination to jointly respond to the security challenges of 5G networks,” the EU writes. “This is essential for a successful and credible EU approach to 5G security and to ensure the continued openness of the internal market provided risk-based EU security requirements are respected.”

The next deadline for the 5G toolbox is April 2020, when the Commission expects Member States to have implemented the recommended measures. A joint report on their implementation will follow later this year.

Key actions being endorsed in the toolbox include:

  •     Strengthen security requirements for mobile network operators (e.g. strict access controls, rules on secure operation and monitoring, limitations on outsourcing of specific functions, etc.);
  •     Assess the risk profile of suppliers; as a consequence,  apply relevant restrictions for suppliers considered to be high risk – including necessary exclusions to effectively mitigate risks – for key assets defined as critical and sensitive in the EU-wide coordinated risk assessment (e.g. core network functions, network management and orchestration functions, and access network functions);
  •     Ensure that each operator has an appropriate multi-vendor strategy to avoid or limit any major dependency on a single supplier (or suppliers with a similar risk profile), ensure an adequate balance of suppliers at national level and avoid dependency on suppliers considered to be high risk; this also requires avoiding any situations of lock-in with a single supplier, including by promoting greater interoperability of equipment;

The Commission also recommends that Member States should contribute towards increasing diversification and sustainability in the 5G supply chain and co-ordinate on standardization around security objectives and on developing EU-wide certification schemes.

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AWS expands its IoT services, brings Alexa to devices with only 1MB of RAM

AWS today announced a number of IoT-related updates that, for the most part, aim to make getting started with its IoT services easier, especially for companies that are trying to deploy a large fleet of devices. The marquee announcement, however, is about the Alexa Voice Service, which makes Amazon’s Alex voice assistant available to hardware manufacturers who want to build it into their devices. These manufacturers can now create “Alexa built-in” devices with very low-powered chips and 1MB of RAM.

Until now, you needed at least 100MB of RAM and an ARM Cortex A-class processor. Now, the requirement for Alexa Voice Service integration for AWS IoT Core has come down 1MB and a cheaper Cortex-M processor. With that, chances are you’ll see even more lightbulbs, light switches and other simple, single-purpose devices with Alexa functionality. You obviously can’t run a complex voice-recognition model and decision engine on a device like this, so all of the media retrieval, audio decoding, etc. is done in the cloud. All it needs to be able to do is detect the wake word to start the Alexa functionality, which is a comparably simple model.

“We now offload the vast majority of all of this to the cloud,” AWS IoT VP Dirk Didascalou told me. “So the device can be ultra dumb. The only thing that the device still needs to do is wake word detection. That still needs to be covered on the device.” Didascalou noted that with new, lower-powered processors from NXP and Qualcomm, OEMs can reduce their engineering bill of materials by up to 50 percent, which will only make this capability more attractive to many companies.

Didascalou believes we’ll see manufacturers in all kinds of areas use this new functionality, but most of it will likely be in the consumer space. “It just opens up the what we call the real ambient intelligence and ambient computing space,” he said. “Because now you don’t need to identify where’s my hub — you just speak to your environment and your environment can interact with you. I think that’s a massive step towards this ambient intelligence via Alexa.”

No cloud computing announcement these days would be complete without talking about containers. Today’s container announcement for AWS’ IoT services is that IoT Greengrass, the company’s main platform for extending AWS to edge devices, now offers support for Docker containers. The reason for this is pretty straightforward. The early idea of Greengrass was to have developers write Lambda functions for it. But as Didascalou told me, a lot of companies also wanted to bring legacy and third-party applications to Greengrass devices, as well as those written in languages that are not currently supported by Greengrass. Didascalou noted that this also means you can bring any container from the Docker Hub or any other Docker container registry to Greengrass now, too.

“The idea of Greengrass was, you build an application once. And whether you deploy it to the cloud or at the edge or hybrid, it doesn’t matter, because it’s the same programming model,” he explained. “But very many older applications use containers. And then, of course, you saying, okay, as a company, I don’t necessarily want to rewrite something that works.”

Another notable new feature is Stream Manager for Greengrass. Until now, developers had to cobble together their own solutions for managing data streams from edge devices, using Lambda functions. Now, with this new feature, they don’t have to reinvent the wheel every time they want to build a new solution for connection management and data retention policies, etc., but can instead rely on this new functionality to do that for them. It’s pre-integrated with AWS Kinesis and IoT Analytics, too.

Also new for AWS IoT Greengrass are fleet provisioning, which makes it easier for businesses to quickly set up lots of new devices automatically, as well as secure tunneling for AWS IoT Device Management, which makes it easier for developers to remote access into a device and troubleshoot them. In addition, AWS IoT Core now features configurable endpoints.

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