D-Wave partners with NEC to build hybrid HPC and quantum apps

D-Wave Systems announced a partnership with Japanese industrial giant NEC today to build what they call “hybrid apps and services” that work on a combination of NEC high-performance computers and D-Wave’s quantum systems.

The two companies also announced that NEC will be investing $10 million in D-Wave, which has raised $204 million prior to this, according to Crunchbase data.

D-Wave’s chief product officer and EVP of R&D, Alan Baratz, whom the company announced this week will be taking over as CEO effective January 1st, says the company has been able to do a lot of business in Japan, and the size of this deal could help push the technology further. “Our collaboration with global pioneer NEC is a major milestone in the pursuit of fully commercial quantum applications,” he said in a statement.

The company says it is one of the earliest deals between a quantum vendor and a multinational IT company with the size and scale of NEC. The deal involves three key elements. First of all, NEC and D-Wave will come together to develop hybrid services that combine NEC’s supercomputers and other classical systems with D-Wave’s quantum technology. The hope is that by combining the classical and quantum systems, they can create better performance for lower cost than you could get if you tried to do similar computing on a strictly classical system.

The two companies will also work together with NEC customers to build applications that will take advantage of this hybrid approach. Also, NEC will be an authorized reseller of D-Wave cloud services.

For NEC, which claims to have demonstrated the world’s first quantum bit device way back in 1999, it is about finding ways to keep advancing commercial quantum computing. “Quantum computing development is critical for the future of every industry tasked with solving today’s most complex problems. Hybrid applications and greater access to quantum systems is what will allow us to achieve truly commercial-grade quantum solutions,” Motoo Nishihara, executive vice president and CTO at NEC Corporation, said in a statement.

This deal should help move the companies toward that goal.

Microsoft announces public preview of Microsoft Teams for Linux

Today, Microsoft announced a public preview of Microsoft Teams for Linux, the first Office 365 tool that’s available for the open source operating system.

The hope is that by making it available for preview, the company can get feedback from the community and improve it before it becomes generally available. “Starting today, Microsoft Teams is available for Linux users in public preview, enabling high quality collaboration experiences for the open source community at work and in educational institutions,” the company wrote in the blog post announcing the release.

The goal here ultimately is to help get Teams into the hands of more customers by expanding the platforms it runs on. “Most of our customers have devices running on a variety of different platforms such as Windows 10, Linux and others. We are committed to supporting mixed environments across our cloud and productivity offerings, and with this announcement, we are pleased to extend the Teams experience to Linux users,” the company wrote in the blog post.

This announcement significant for a couple of reasons. For starters, Microsoft has had a complicated history with Linux and open source, although in recent years under Satya Nadella it has embraced open source. This shows that Microsoft is willing to put its tools wherever customers need them, regardless of the platform or operating system.

Secondly, since it marks the first Office 365 app on Linux, if there is positive feedback, it could open the door for more apps on the platform down the road.

The announcement also comes against the backdrop of the company’s on-going battles with Slack for enterprise collaboration platform users. In July, Microsoft announced 13 million daily active users on Teams. Meanwhile, Slack has 12 million DAUs. It’s worth noting that Slack has been available on Linux for almost two years.

Soci raises $12M to help big brands manage local marketing

According to CEO Afif Khoury, we’re in the middle of “the third wave of social” — a shift back to local interactions. And Khoury’s startup Soci (pronounced soh-shee) has raised $12 million in Series C funding to help companies navigate that shift.

Soci works with customers like Ace Hardware and Sport Clips to help them manage the online presence of hundreds or thousands of stores. It allows marketers to post content and share assets across all those pages, respond to reviews and comments, manage ad campaigns, and provide guidance around how to stay on-brand.

It sounds like most of these interactions are happening on Facebook. Khoury told me that Soci integrates with “40 different APIs where businesses are having conversations with their customers,” but he added, “Facebook was and continues to be the most prominent conversation center.”

Khoury and CTO Alo Sarv founded Soci back in 2012. Khoury said they spent the first two years building the product, and have subsequently raised around $30 million in total funding.

“What we weren’t building was a point solution,” he said. “What we were building was a massive platform … It took us 18 months to two years to really build it in the way we thought was going to be meaningful for the marketplace.”

Soci has also incorporated artificial intelligence to power chatbots that Khoury said “take that engagement happening on social and move it downstream to a call or a sale or something relevant to the local business.”

The new round was led by Vertical Venture Partners, with participation from Grayhawk Capital and Ankona Capital. Khoury said the money will allow Soci to continue developing its AI technology and to build out its sales and marketing team.

“Ours is a very consultative sale,” he said. “It’s a complicated world that you’re living in, and we really want to partner and have a local presence with our customers.”

AWS is sick of waiting for your company to move to the cloud

AWS held its annual re:Invent customer conference last week in Las Vegas. Being Vegas, there was pageantry aplenty, of course, but this year’s model felt a bit different than in years past, lacking the onslaught of major announcements we are used to getting at this event.

Perhaps the pace of innovation could finally be slowing, but the company still had a few messages for attendees. For starters, AWS CEO Andy Jassy made it clear he’s tired of the slow pace of change inside the enterprise. In Jassy’s view, the time for incremental change is over, and it’s time to start moving to the cloud faster.

AWS also placed a couple of big bets this year in Vegas to help make that happen. The first involves AI and machine learning. The second, moving computing to the edge, closer to the business than the traditional cloud allows.

The question is what is driving these strategies? AWS had a clear head start in the cloud, and owns a third of the market, more than double its closest rival, Microsoft. The good news is that the market is still growing and will continue to do so for the foreseeable future. The bad news for AWS is that it can probably see Google and Microsoft beginning to resonate with more customers, and it’s looking for new ways to get a piece of the untapped part of the market to choose AWS.

Move faster, dammit

The worldwide infrastructure business surpassed $100 billion this year, yet we have only just scratched the surface of this market. Surely, digital-first companies, those born in the cloud, understand all of the advantages of working there, but large enterprises are still moving surprisingly slowly.

Jassy indicated more than once last week that he’s had enough of that. He wants to see companies transform more quickly, and in his view it’s not a technical problem, it’s a lack of leadership. If you want to get to the cloud faster, you need executive buy-in pushing it.

Jassy outlined four steps in his keynote to help companies move faster and get more workloads in the cloud. He believes in doing so, it will not only continue to enrich his own company, it will also help customers avoid disruptive forces in their markets.

For starters, he says that it’s imperative to get the senior team aligned behind a change. “Inertia is a powerful thing,” Jassy told the audience at his keynote on Tuesday. He’s right of course. There are forces inside every company designed with good reason to protect the organization from massive systemic changes, but these forces — whether legal, compliance, security or HR — can hold back a company when meaningful change is needed.

He said that a fuller shift to the cloud requires ambitious planning. “It’s easy to go a long time dipping your toe in the water if you don’t have an aggressive goal,” he emphasized. To move faster, you also need staff that can help you get there — and that requires training.

Finally, you need a thoughtful, methodical migration plan. Most companies start with the stuff that’s easy to move to the cloud, then begin to migrate workloads that require some adjustments. They continue along this path all the way to things you might not choose to move at all.

Jassy knows that the faster companies get on board and move to the cloud, the better off his company is going to be, assuming it can capture the lion’s share of those workloads. The trouble is that after you move that first easy batch, getting to the cloud becomes increasingly challenging, and that’s one of the big reasons why companies have moved slower than Jassy would like.

The power of machine learning to drive adoption

One way to motivate folks to move faster is help them understand the power of machine learning. AWS made a slew of announcements around machine learning designed to give customers a more comprehensive Amazon solution. This included SageMaker Studio, a machine learning development environment along with notebook, debugging and monitoring tools. Finally, the company announced AutoPilot, a tool that gives more insight into automatically-generated machine learning models, another way to go faster.

The company also announced a new connected keyboard called DeepComposer, designed to teach developers about machine learning in a fun way. It joins DeepLens and DeepRacer, two tools released at previous re:Invents. All of this is designed for developers to help them get comfortable with machine learning.

It wasn’t a coincidence the company also announced a significant partnership with the NFL to use machine learning to help make players safer. It’s an excellent use case. The NFL has tons of data on its players, and it has decades of film. If it can use that data as fuel for machine learning-driven solutions to help prevent injuries, it could end up being a catalyst for meaningful change driven by machine learning in the cloud.

Machine learning provides another reason to move to the cloud. This shows that the cloud isn’t just about agility and speed, it’s also about innovation and transformation. If you can take advantage of machine learning to transform your business, it’s another reason to move to the cloud.

Moving to the edge

Finally, AWS recognizes that computing in cloud can only get you so far. In spite of the leaps it has made architecturally, there is still a latency issue that will be unacceptable for some workloads. That’s why it was a big deal that the company announced a couple of edge computing solutions including the general availability of Outposts, its private cloud in a box along with a new concept called Local Zones last week.

The company announced Outposts last year as a way to bring the cloud on prem. It is supposed to behave exactly the same way as traditional cloud resources, but AWS installs, manages and maintains a physical box in your data center. It’s the ultimate in edge computing, bringing the compute power right into your building.

For those who don’t want to go that far, AWS also introduced Local Zones, starting with one in LA, where the cloud infrastructure resources are close by instead of in your building. The idea is the same — to reduce the physical distance between you and your compute resources and reduce latency.

All of this is designed to put the cloud in reach of more customers, to help them move to the cloud faster. Sure, it’s self-serving, but 11 years after I first heard the term cloud computing, maybe it really is time to give companies a harder push.

Canva introduces video editing, has big plans for 2020

Canva, the design company with nearly $250 million in funding, has today announced a variety of new features, including a video editing tool.

The company has also announced Canva Apps, which allows developers and customers alike to build on top of Canva. Thus far, Dropbox, Google Drive, PhotoMosh and Instagram are already in the Canva Apps suite, with a total of 30 apps available at launch.

The video editing tool allows for easy editing with no previous experience required, and also offers video templates, access to a stock content library with videos, music, etc., and easy-to-use animation tools.

Meanwhile, Canva is taking the approach of winning customers when they’re young, with the launch of Canva for Education. It’s a totally free product that has launched in beta with Australian schools, integrating with GSuite and Google Classroom to allow students to build out projects, and teachers to mark them up and review them.

Canva has also announced the launch of Canva for Desktop.

As design becomes more important to the way every organization functions and operates, one of the only barriers to the growth of the category is the pace at which new designers can emerge and enter the workforce.

Canva has positioned itself as the non-designer’s design tool, making it easy to create something beautiful with little to no design experience. The launch of the video editing tool and Canva for Education strengthen that stance, not only creating more users for the platform itself but fostering an environment for the maturation of new designers to join the ecosystem as a whole.

Alongside the announcement, Canva CEO Melanie Perkins has announced that Canva will join the 1% pledge, dedicating 1 percent of equity, profit, time and resources to making the world a better place.

Here’s what she had to say about it, in a prepared statement:

Companies have a huge role to play in helping to shape the world we live in and we feel like the 1% Pledge is an incredible program which will help us to use our company’s time, resources, product and equity to do just that. We believe the old adage ‘do no evil’ is no longer enough today and hope to live up to our value to ‘Be a Force for Good’.

Interestingly, Canva’s position at the top of the design funnel hasn’t slowed growth. Indeed, Canva recently launched Canva for Enterprise to let all the folks in the organization outside of the design department step up to bat and create their own decks, presentations, materials, etc., all within the parameter’s of the design system and brand aesthetic.

A billion designs have been created on Canva in 2019, with 2 billion designs created since the launch of the platform.

Figma launches Auto Layout

Figma, the design tool maker that has raised nearly $83 million from investors such as Index Ventures, Sequoia, Greylock and Kleiner Perkins, has today announced a new feature called Auto Layout that takes some of the tedious reformatting out of the design process.

Designers are all too familiar with the problem of manually sizing content in new components. For example, when a designer creates a new button for a web page, the text within the button has to be manually sized to fit within the button. If the text changes, or the size of the button, everything has to be adjusted accordingly.

This problem is exacerbated when there are many instances of a certain component, all of which have to be manually adjusted.

Auto Layout functions as a toggle. When it’s on, Figma does all the adjusting for designers, making sure content is centered within components and that the components themselves adjust to fit any new content that might be added. When an item within a frame is re-sized or changed, the content around it dynamically adjusts along with it.

Auto Layout also allows users to change the orientation of a list of items from vertical to horizontal and back again, adjust the individual sizing of a component within a list, or re-order components in a list with a single click.

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It’s a little like designing on auto-pilot.

Auto Layout also functions within the component system, allowing designers to tweak the source of truth without detaching the symbol or content from it, meaning that these changes flow through to the rest of their designs.

Figma CEO Dylan Field said that there was very high demand for this feature from customers, and hopes that this will allow design teams to move much faster when it comes to user testing and iterative design.

Alongside the launch, Figma is also announcing that it has brought on its first independent board member. Lynn Vojvodich joins both cofounders, Danny Rimer, John Lilly, Mamoon Hamid and observer Andrew Reed on the Figma board.

Vojvodich has a wealth of experience as an operator in the tech industry, serving as EVP and CMO at Salesforce.com. She was a partner at Andreesen Horowitz, and led her own company Take3 for 10 years. Vojvodich also serves on the boards of several large corporations, including Ford Motor Company, Looker, and Dell.

“I’ve never brought on an investor that I haven’t heavily reference checked, both with companies that have had success and those who don’t,” said Field. “A good board can really help accelerate the company, but a challenging board can make it tough for companies to keep moving.”

Field added that, as conversations progressed with Vojvodich, she continually delivered value to the team with crisp answers and great insights, noting that her experience translates.

Design may be the next entrepreneurial gold rush

Ten years ago, the vast majority of designers were working in Adobe Photoshop, a powerful tool with fine-tuned controls for almost every kind of image manipulation one could imagine. But it was a tool built for an analog world focused on photos, flyers and print magazines; there were no collaborative features, and much more importantly for designers, there were no other options.

Since then, a handful of major players have stepped up to dominate the market alongside the behemoth, including InVision, Sketch, Figma and Canva.

And with the shift in the way designers fit into organizations and the way design fits into business overall, the design ecosystem is following the same path blazed by enterprise SaaS companies in recent years. Undoubtedly, investors are ready to place their bets in design.

But the question still remains over whether the design industry will follow in the footprints of the sales stack — with Salesforce reigning as king and hundreds of much smaller startup subjects serving at its pleasure — or if it will go the way of the marketing stack, where a lively ecosystem of smaller niche players exist under the umbrella of a handful of major, general-use players.

“Deca-billion-dollar SaaS categories aren’t born everyday,” said InVision CEO Clark Valberg . “From my perspective, the majority of investors are still trying to understand the ontology of the space, while remaining sufficiently aware of its current and future economic impact so as to eagerly secure their foothold. The space is new and important enough to create gold-rush momentum, but evolving at a speed to produce the illusion of micro-categorization, which, in many cases, will ultimately fail to pass the test of time and avoid inevitable consolidation.”

I spoke to several notable players in the design space — Sketch CEO Pieter Omvlee, InVision CEO Clark Valberg, Figma CEO Dylan Field, Adobe Product Director Mark Webster, InVision VP and former VP of Design at Twitter Mike Davidson, Sequoia General Partner Andrew Reed and FirstMark Capital General Partner Amish Jani — and asked them what the fierce competition means for the future of the ecosystem.

But let’s first back up.

Past

Sketch launched in 2010, offering the first viable alternative to Photoshop. Made for design and not photo-editing with a specific focus on UI and UX design, Sketch arrived just as the app craze was picking up serious steam.

A year later, InVision landed in the mix. Rather than focus on the tools designers used, it concentrated on the evolution of design within organizations. With designers consolidating from many specialties to overarching positions like product and user experience designers, and with the screen becoming a primary point of contact between every company and its customers, InVision filled the gap of collaboration with its focus on prototypes.

If designs could look and feel like the real thing — without the resources spent by engineering — to allow executives, product leads and others to weigh in, the time it takes to bring a product to market could be cut significantly, and InVision capitalized on this new efficiency.

In 2012, came Canva, a product that focused primarily on non-designers and folks who need to ‘design’ without all the bells and whistles professionals use. The thesis: no matter which department you work in, you still need design, whether it’s for an internal meeting, an external sales deck, or simply a side project you’re working on in your personal time. Canva, like many tech firms these days, has taken its top-of-funnel approach to the enterprise, giving businesses an opportunity to unify non-designers within the org for their various decks and materials.

In 2016, the industry felt two more big shifts. In the first, Adobe woke up, realized it still had to compete and launched Adobe XD, which allowed designers to collaborate amongst themselves and within the organization, not unlike InVision, complete with prototyping capabilities. The second shift was the introduction of a little company called Figma.

Where Sketch innovated on price, focus and usability, and where InVision helped evolve design’s position within an organization, Figma changed the game with straight-up technology. If Github is Google Drive, Figma is Google Docs. Not only does Figma allow organizations to store and share design files, it actually allows multiple designers to work in the same file at one time. Oh, and it’s all on the web.

In 2018, InVision started to move up stream with the launch of Studio, a design tool meant to take on the likes of Adobe and Sketch and, yes, Figma.

Present

When it comes to design tools in 2019, we have an embarrassment of riches, but the success of these players can’t be fully credited to the products themselves.

A shift in the way businesses think about digital presence has been underway since the early 2000s. In the not-too-distant past, not every company had a website and many that did offered a very basic site without much utility.

In short, designers were needed and valued at digital-first businesses and consumer-facing companies moving toward e-commerce, but very early-stage digital products, or incumbents in traditional industries had a free pass to focus on issues other than design. Remember the original MySpace? Here’s what Amazon looked like when it launched.

In the not-too-distant past, the aesthetic bar for internet design was very, very low. That’s no longer the case.

GitGuardian raises $12M to help developers write more secure code and ‘fix’GitHub leaks

Data breaches that could cause millions of dollars in potential damages have been the bane of the life of many a company. What’s required is a great deal of real-time monitoring. The problem is that this world has become incredibly complex. A SANS Institute survey found half of company data breaches were the result of account or credential hacking.

GitGuardian has attempted to address this with a highly developer-centric cybersecurity solution.

It’s now attracted the attention of major investors, to the tune of a $12 million in Series A funding, led by Balderton Capital . Scott Chacon, co-founder of GitHub, and Solomon Hykes, founder of Docker also participated in the round.

The startup plans to use the investment from Balderton Capital to expand its customer base, predominantly in the US. Around 75% of its clients are currently based in the US, with the remainder being based in Europe, and the funding will continue to drive this expansion.

Built to uncover sensitive company information hiding in online repositories, GitGuardian says its real-time monitoring platform can address the data leaks issues. Modern enterprise software developers have to integrate multiple internal and third-party services. That means they need incredibly sensitive “secrets”, such as login details, API keys, and private cryptographic keys used to protect confidential systems and data.

GitGuardian’s systems detect thousands of credential leaks per day. The team originally built its launch platform with public GitHub in mind, however, GitGuardian is built as a private solution to monitor and notify on secrets that are inappropriately disseminated in internal systems as well, such as private code repositories or messaging systems.

Solomon Hykes, founder of Docker and investor at GitGuardian, said: “Securing your systems starts with securing your software development process. GitGuardian understands this, and they have built a pragmatic solution to an acute security problem. Their credentials monitoring system is a must-have for any serious organization”.

Do they have any competitors?

Co-founder Jérémy Thomas told me: “We currently don’t have any direct competitors. This generally means that there’s no market, or the market is too small to be interesting. In our case, our fundraise proves we’ve put our hands on something huge. So the reason we don’t have competitors is because the problem we’re solving is counterintuitive at first sight. Ask any developer, they will say they would never hardcode any secret in public source code. However, humans make mistakes and when that happens, they can be extremely serious: it can take a single leaked credential to jeopardize an entire organization. To conclude, I’d say our real competitors so far are black hat hackers. Black hat activity is real on GitHub. For two years, we’ve been monitoring organized groups of hackers that exchange sensitive information they find on the platform. We are competing with them on speed of detection and scope of vulnerabilities covered.”

AWS launches discounted spot capacity for its Fargate container platform

AWS today quietly brought spot capacity to Fargate, its serverless compute engine for containers that supports both the company’s Elastic Container Service and, now, its Elastic Kubernetes service.

Like spot instances for the EC2 compute platform, Fargate Spot pricing is significantly cheaper, both for storage and compute, than regular Fargate pricing. In return, though, you have to be able to accept the fact that your instance may get terminated when AWS needs additional capacity. While that means Fargate Spot may not be perfect for every workload, there are plenty of applications that can easily handle an interruption.

“Fargate now has on-demand, savings plan, spot,” AWS VP of Compute Services Deepak Singh told me. “If you think about Fargate as a compute layer for, as we call it, serverless compute for containers, you now have the pricing worked out and you now have both orchestrators on top of it.”

He also noted that containers already drive a significant percentage of spot usage on AWS in general, so adding this functionality to Fargate makes a lot of sense (and may save users a few dollars here and there). Pricing, of course, is the major draw here and an hour of CPU time on Fargate Spot will only cost $0.01245364 (yes, AWS is pretty precise there) compared to $0.04048 for the on-demand price,

With this, AWS is also launching another important new feature: capacity providers. The idea here is to automate capacity provisioning for Fargate and EC2, both of which now offer on-demand and spot instances, after all. You simply write a config file that, for example, says you want to run 70 percent of your capacity on EC2 and the rest on spot instances. The scheduler will then keep that capacity on spot as instances come and go, and if there are no spot instances available, it will move it to on-demand instances and back to spot once instances are available again.

In the future, you will also be able to mix and match EC2 and Fargate. “You can say, I want some of my services running on EC2 on demand, some running on Fargate on demand, and the rest running on Fargate Spot,” Singh explained. “And the scheduler manages it for you. You squint hard, capacity is capacity. We can attach other capacity providers.” Outpost, AWS’ fully managed service for running AWS services in your data center, could be a capacity provider, for example.

These new features and prices will be officially announced in Thursday’s re:Invent keynote, but the documentation and pricing is already live today.

OrbitsEdge partners with HPE on orbital datacenter computing and analytics

What kinds of businesses might be able to operate in space? Well datacenter are one potential target you might not have thought of. Space provides an interesting environment for datacenter operations, including advanced analytics operations and even artificial intelligence, due in part to the excellent cooling conditions and reasonable access to renewable power supply (solar). But there are challenges, which is why a new partnership between Florida-based space startup OrbitsEdge and Hewlett Packard Enterprises (HPE) makes a lot of sense.

The partnership will make OrbitsEdge a hardware supplier for HPE’s Edgeline Converged Edge Systems, and basically it means that the space startup will be handling everything required to “harden” the standard HPE micro-datacenter equipment for use in outer space. Hardening is a standard process for getting stuff ready to use in space, and essentially prepares equipment to withstand the increased radiation, extreme temperatures and other stressors that space adds to the mix.

OrbitsEdge, founded earlier this year, has developed a proprietary piece of hardware called the “SatFrame” which is designed to counter the stress of a space-based operating environment, making it relatively easy to take off-the-shelf Earth equipment like the HPE Edgeline system and get it working in space without requiring a huge amount of additional, custom work.

In terms of what this will potentially provide, the partnership will mean it’s more feasible than ever to set up a small-scale datacenter in orbit to handle at least some of the processing of space-based data right near where it’s collected, rather than having to shuttle it back down to Earth. That process can be expensive, and difficult to source in terms of even finding companies and infrastructure to use. As with in-space manufacturing, doing things locally could save a lot of overhead and unlock tons of potential down the line.