In the race for tech talent, the US should look to Mexico

The global tech sector is booming, and as technologies like cloud and AI accelerate their growth, the demand for tech talent outpaces supply globally. Specifically, the U.S. tech sector has seen unprecedented growth in recent years, with four tech firms reaching a $1 trillion market cap by the beginning of 2020 — all of which have seen double-digit growth since achieving a 13-digit valuation pre-pandemic.

One of the major factors in the growth and adoption of tech in the U.S. is the increasing focus on software as a service and broader digital transformations across industry sectors, which have accelerated due to the COVID-19 pandemic. As such, there is an insatiable appetite for quality tech talent in the U.S., with projections showing an 11% increase by 2029 from 2019 numbers, which amounts to over half a million new jobs.

Given that the U.S. produces only about 65,000 computer science graduates, there is a vast deficit in the tech talent market, which materialized as over 900,000 unfilled IT and related positions in 2019 alone. The problem is so vast that more than 80% of U.S. employers stated that recruiting for tech talent is a top business challenge, according to a survey by top HR consulting firm Robert Half.

Demand increasing for Mexican tech talent

Mexico’s tech talent can help to fill the gaps left in a hypercompetitive U.S. market for tech workers. Unlike the U.S., 20% of Mexican college graduates have relevant engineering degrees, amounting to over 110,000 per year, far surpassing the U.S. in technical talent. Investors and tech firms have noticed and are increasing operations in Mexico.

20% of Mexican college graduates have relevant engineering degrees, amounting to over 110,000 per year, far surpassing the U.S. in technical talent.

Some have referred to the cities of Monterrey and Guadalajara as the “Silicon Valley of Latin America,” and while their tech sectors are also seeing tremendous growth, the pace falls short of Mexico’s talent production, leading to a surplus of highly trained and capable individuals in the tech sector. The cost of higher education in Mexico is far less than in the U.S., so we’re likely to see that talent surplus grow in the coming years.

Under current conditions, the U.S. has an incredible opportunity to capitalize on the surplus of tech talent in Mexico. Because tech jobs are more scarce than in the U.S., the cost of talent in Mexico is considerably less than in the U.S. or in Canada. In general, talent in Mexico can be two to three times cheaper than in the U.S. while still delivering outstanding quality and specialized experience.

More so than other Latin American countries, Mexico has the experience and economy to support a robust tech talent export ecosystem. In fact, Mexico City’s concentrated market is larger than the sum total of every other Spanish-speaking country in Latin America. Specifically, Mexico’s IT outsourcing industry has been growing at an annual rate of 10%-15% and is now considered the third-largest exporter of IT services.

What’s more, the U.S./Mexico relationship is seeing a refresh after several tumultuous years. With Mexico ranked No. 1 among U.S. trade partners, the political and economic mechanisms for investments and partnerships are in place. Technology leaders such as Cisco and Intel have already set up shop in Mexico, demonstrating confidence in the country’s ability to support tech and economic growth.

The benefits of proximity

Mexico provides a number of benefits that make drawing from its talent surplus easier and more efficient. For one, Mexico’s time zones align with those in the U.S., enabling real-time collaboration at times that work best for both parties. Compare this to the time difference in India, which is over 12 hours ahead of California’s Silicon Valley.

Beyond the time difference, there are also many cultural similarities that make working with Mexico the clear choice for IT outsourcing. For example, the U.S. is home to more than 41 million native Spanish speakers, and plus over 12 million bilingual Spanish speakers, making the U.S. the second-largest Spanish-speaking country after Mexico. While difficult to quantify, the number of consumer and cultural exports from Mexico to the U.S. also helps to build familiarity and solidarity between the two countries, which can only improve an already healthy relationship.

New geopolitical considerations favor U.S.-Mexico ties

The steady progression of America’s tech sector is now seen as a strategic priority at the federal level. Meanwhile, public and private sector decision-makers are more interested than ever in conducting business under favorable trade treaty terms with friendly governments amid a new climate of geopolitical uncertainty.

As the U.S. tech sector continues its explosive growth, technology companies in the U.S. will need to seek alternative means to supplement its in-demand tech workforce. Rather than turning to countries undergoing increased regulatory scrutiny, or distant talent bases requiring significant business travel, business leaders are looking to geographically close, diplomatically friendly nations. U.S. companies are finding Mexico’s status as a key business partner and strategic ally to be a massive value driver.

By 2030, the middle-class population in Mexico is expected to reach 95 million, placing it in the top 10 countries with the highest share of global middle-class consumption. As the middle class rises, so will companies to meet their consumer needs, and, as such, Mexico’s own tech sector will grow and require significantly more tech talent, reducing or potentially eliminating Mexico’s talent surplus.

This is evidenced by the uptick in Mexico-based technology companies, such as Mexican used-car startup Kavak, which recently hit a $4 billion valuation. Amid an exciting backdrop of skyrocketing tech valuations and potential, the U.S. tech sector should look to Mexico as a key growth market and technology partner. The time is now for the U.S. to tap into the surplus of quality tech talent in Mexico.


Source: Tech Crunch

Apple launches an affiliate program for paid podcast subscriptions

Apple last month unveiled its plans for paid podcast subscriptions in a newly redesigned Apple Podcasts app. Now, it’s introducing a new program that will help podcast creators grow their subscriber base: affiliate marketing. The company’s “Apple Services Performance Partner Program,” which already exists to help market other Apple services like Apple TV, Apple News, and Apple Books, is today expanding to include paid podcasts.

The new program — “Apple Services Performance Partner Program for Apple Podcasts” (whew!) — will be open to anyone, though the company believes it will make the most sense for publishers and creators who already have an audience and a number of marketing channels where they can share these new affiliate links. When users convert by clicking through one of the links and subscribe to a premium podcast, the partner will receive a one-time commission at 50% of the podcast subscription price, after the subscriber accumulates their first month of paid service.

So, for example, if a paid podcast was charging subscribers $5 per month, the commission would be $2.50. This commission would apply for every new subscriber that signed up through the affiliate channel, and there’s no cap.

Podcast creators can also use the affiliate links to promote their own paid programs, which would allow them to generate incremental revenue.

While anyone can apply to join the affiliate program, there is an approval process involved. This is mainly about keeping spammers out of the program, and ensuring that those signing up do have at least some marketing channels where they can distribute the links. The sign-up form asks for specific criteria — like how many channels are available and how the partner intends to use them to promote the affiliate links, among other things.

The program will be made available to anyone in the 170 countries and regions where paid podcasts subscriptions are being made available.

Once approved and signed in, affiliate partners will gain access to an online dashboard where they can create links (i.e. shortened URLs) much like any other affiliate program. They can also create multiple URLs for an individual podcast to make it easier to track how well different channels are performing. The URLs can be posted on their own, tied to a “Listen on Apple Podcasts” badge, or can be made available as a QR code. The latter may make more sense when live events return, as it could be printed on signage or in flyers that were distributed during a live taping, for example. It could also be used in other sorts of advertising, including both print and digital.

Though premium podcasts already existed, until more recently that often involved paying a podcaster directly to access a private RSS feed. Smaller services like Stitcher also used subscriptions to provide paying customers with a series of perks, like ad-free listening and exclusive content. The new efforts by both Apple and Spotify are focused on wooing creators to their platforms, where they’ll take a cut of the subscription revenues. Spotify is waiving its 5% fee for the first two years, while Apple is employing its usual model of 30% in year 1 that drops to 15% in year two.

While people can begin to enroll in the new affiliate program starting today, paid podcasts aren’t actually launching until later this month, per Apple. When they do, those enrolled in the affilate program will be able to create links and begin earning commissions on subscriptions.

 


Source: Tech Crunch

Bain Capital Ventures raised $1.3 billion to fund young startups, but young VC firms, too

Bain Capital Ventures (BCV), the venture arm of the 37-year-old private equity firm Bain Capital, announced this morning that it has $1.3 billion more smackers to invest across two funds, a $950 million fund for seed and Series A deals and a $350 million fund for growth-stage opportunities. That amount is up slightly from late 2018, when the outfit announced $1 billion across two funds.

While the outfit is backed by all the usual suspects, including endowments and pension funds, it’s worth noting that around $130 million of that capital comes from investors and other employees inside of Bain, whose contributions typically make up 10% of a fund. (Investors at other firms like Sequoia are big investors in their funds, too.)

More important, of course, is where the capital will be spent. According to partners Sarah Smith and Aaref Hilaly, the focus remains very much on enterprise startups, where the team likes to jump in early and build up a big position. (Some of its biggest bets in terms of dollars invested right now include the text message marketing company Attentive, currently valued at $2.2 billion, and the in-memory database company Redis Labs, valued at $2 billion.)

Interestingly, BCV is also investing directly in a lot of emerging managers, 50 of whom BCV has already backed in order improve the diversity of ideas and startups that it gets to see at the earliest stages.

It’s all part of the firm’s continuing evolution, says the outfit, which got its start in 2001 on the East Coast and was designed initially to fund Series B and older companies but has evolved to fund mostly West Coast- and, to a smaller degree, New York-based startups that are just getting off the ground.

To underscore the shift, says Hilaly, BCV wrote checks to 42 companies last year and 37 of them were either seed-stage or Series A-stage startups and the “vast majority were pre-revenue.”

Asked if competition at the later-stage drove the firm to seek out more nascent deals, Hilaly notes that competition at every stage is intense right now and argues that BCV’s current team composition — Hilaly spent seven years at Sequoia and earlier founded a company himself; Smith spent a collective seven years at Quora and Facebook; partner Enrique Salem was a former president and CEO of Symantec, for example — makes it most impactful at the company formation stage, when founders are still getting the fundamentals down.

As for why the organization needs such a massive fund to back such young companies, it’s a reflection of the changing market, both partners suggest. Not only do firms need to be able to provide the capital that entrepreneurs need to grow at a faster clip than ever before, but it’s becoming increasingly important for venture outfits to support the ecosystem — including as a competitive edge.

For some firms, that support comes in the form of scout programs that empower operators and founders to write checks to friends who are starting companies.

For BCV, it means committing an undisclosed but “material” amount of capital to emerging seed-fund managers. So far among the managers it has backed is Bobby Goodlatte of Form Capital of Miami, who we talked with recently (see below); Maren Bannon of London-based January Ventures; Ryan Hoover of Weekend Fund; Scribble Ventures, run in part by husband-and-wife duo Elizabeth and Kevin Weil; and Noemis Ventures in New York.

Smith says that BCV is “really excited about this program because it’s great for founders, who have more choice than ever as they’re getting started. It’s also helping on-ramp a broader group of investors into the venture ecosystem, which is something I’m personally passion about as I care about diversity of thought.”

Those newer funds — 17% of which are run by Black general partners and 21% of which are run by women —  also help BCV to stay atop the latest enterprise trends, she adds, saying that in addition to checks, BCV helps make limited partner introductions for managers to help get them off the ground. (BCV does not ask for any information rights beyond what the firms’ other limited partners receive.)

As for where BCV will be funneling the rest of its new capital, Smith says that BCV has always been — and remains — thesis driven, and that much of what interests the firm right now is application software infrastructure, health tech investing, e-commerce-enabled enterprise tech, and fintech, including crypto, which has become a growing area of intrigue.

Some of the firm’s related deals include the crypto lending startup BlockFi and Digital Currency Group, the parent company behind the popular Grayscale Bitcoin Trust.

BCV has also invested in “a few tokens,” says Hilaly, “but that’s not the major focus,” he adds.

In the meantime, BCV — which is writing checks as small as several hundred thousand dollars to upwards of $100 million in companies — is also keeping an eye on the trends that continue to reshape the venture industry, including, right now, bigger and faster deals.

“It’s unprecedented,” observes Hilaly of what’s happening in the market, even while he’s not surprised by it. “My general feeling is that venture is not so unlike startups, and every firm has to just reinvent itself every five or 10 years because the ecosystem around it is changing so much.

“You can complain about competition,” he continues, “but the reality is competition just forces you to be better.” Certainly, he says, “You have to you have to be on your game to a greater extent than ever before or there’s just no way a sensible founder would pick you.”


Source: Tech Crunch

OpenUnit raises a $1M seed round to be the online face of self-storage

How are mom-and-pop self-storage facilities meant to keep up with the tech offered by the massive, ever-growing chains?

That’s a key part of the idea behind OpenUnit, a team I first wrote about in August of last year. You bring the storage units, they bring the website, payment processing, and backend tools you need to manage them. They don’t charge facility owners a monthly subscription fee, instead taking a cut of each payment as the payments processor.

OpenUnit has now raised a $1M seed round, and acquired the IP of a fellow YC company along the way.

Since we last heard from OpenUnit, they’ve been expanding to locations around the US and Canada and now have a waitlist over 800 facilities deep, the team tells me.

Image Credits: OpenUnit

OpenUnit co-founder Taylor Cooney was quick to point out that this seed round is as much about strategic partnerships as it is about the money. Neither Taylor nor co-founder Lucas Playford had much to do with the storage industry until a knock at the door led them down a rabbit hole. As I wrote back in August:

“…Taylor’s landlords came to him with an offer: they wanted to sell the place he was renting, and they’d give him a stack of cash if he could be out within just a few days. Pulling that off meant finding a place to keep all of his stuff while he looked for a new home, which is when he realized how antiquated the self-storage process could be.”

Of the 20+ investors participating in the round, 6 are from the self-storage industry, from prior/current facility owners to the Director of the Canadian Self Storage Association. For some of them, it’s their first time investing in a tech or software company — but all potentially bring something to the table beyond money.

Of course, that’s not to say they’re just letting that money sit around. They’ve grown the team from just Taylor and Lucas up to five, and are still looking to grow. Meanwhile, Taylor tells me that the company has acquired the IP of fellow Y Combinator W20 batchmate Affiga, a product that aimed to automatically provide insights about a new customer after a transaction is made.

Writes Taylor: “As self-storage companies move services like rentals, leases, and payments online, it’s becoming increasingly difficult for them to ‘know’ their customers. We see the integration into our product as a way to help self-storage operators bridge the gap between their online and in-store customer experiences, where the personal touch tends to be lost.”

Affiga initially shutdown its operations back in 2020. After OpenUnit realized they wanted something similar in their product, they set out to buy rather than build. “With a decade in e-commerce under their belt,” Taylor tells me, “their founder had a much better approach to this then we would’ve come up with.”

So what’s next? Besides getting more people off the waitlist and onto the platform, they’re exploring other opportunities, including potentially providing loans to facilities looking to expand or renovate. Because OpenUnit is both the management platform and the payments provider, they have deep insights on how a facility is doing; they know how much a location makes, how punctual their customers are with payments, etc. Take that data and mash it up with insights on what improvements can increase revenue, and it seems like a pretty straightforward formula.

This round includes investment from Garage Capital, Advisors Fund, Insite Property Group, SquareFoot co-founder Jonathan Wasserstrum, and a number of angel investors.


Source: Tech Crunch

5 innovative fundraising methods for emerging VCs and PEs

Approaching institutions to raise capital for your venture capital or private equity fund is relatively transparent, but what if you’re targeting family offices and high-net-worth individuals? I see five innovative new methods for raising capital that emerging managers such as Versatile VC are using, which I’ve ranked in roughly descending order of popularity:

  1. Join online communities and virtual conferences where investors participate.
  2. Use a platform that helps other investors access your fund.
  3. Generally solicit under the 506(c) designation.
  4. Launch a rolling fund.
  5. Crowdfund from retail investors into your general partnership.

Will Stringer, CEO of Chisos, feels most family offices won’t respond to cold outreach. “You need to build a true relationship with family office investors or other general partners that can make warm intros to family office decision-makers,” he says. “Family offices, more than any other allocator, rely on trust. [It’s] not always the case (and always changing), but today it’s still the majority.”

When you’re raising capital for a fund, you’re fundamentally selling a luxury good, which is seen as more valuable because it’s scarce. That’s part of the secret of the hedge fund industry’s success in gathering assets.

The obvious solution therefore is to get in touch with your friends who have earlier raised or pitched to the family offices. You may also find professional intermediaries who are willing to make an introduction to family offices.

That said, the five methods I outline below may be faster and more efficient.

Join online communities and virtual conferences where investors participate

To meet other VCs (some of which may become LPs), among your options are Confluence, Gen Z Mafia, InnovatorsRoom (European focus) and TechAviv (Israeli focus). To find others, see: How to find the right online communities. I maintain a proprietary database of the communities I’ve found most valuable, which I share with other members of the Versatile team.

These venues allow you to efficiently get in front of many pre-qualified investors and follow up with those who seem like a tight fit. Unsurprisingly, the best online communities are limited strictly to LPs. Ideally, you’d partner with an anchor/friendly LP who can pass the word on your fund to other potential investors.

In general, at virtual conferences, I recommend first fill out your online profile with all possible keywords and your photo. Side-channeling is powerful and is the equivalent of going into a corner at a conference and talking privately. Look up the profiles of all the people attending a conference or in an online community and send the relevant folks a customized message introducing yourself.

This is one of the primary advantages of virtual events versus traditional face-to-face conferences, where people do not conveniently wear a hat with their LinkedIn profile visible.


Source: Tech Crunch

Apple Watch gets a motion-controlled cursor with ‘Assistive Touch’

Tapping the tiny screen of the Apple Watch with precision has certain level of fundamental difficulty, but for some people with disabilities it’s genuinely impossible. Apple has remedied this with a new mode called “Assistive Touch” that detects hand gestures to control a cursor and navigate that way.

The feature was announced as part of a collection of accessibility-focused additions across its products, but Assistive Touch seems like the one most likely to make a splash across the company’s user base.

It relies on the built-in gyroscope and accelerometer, as well as data from the heart rate sensor, to deduce the position of the wrist and hand. Don’t expect it to tell a peace sign from a metal sign just yet, but for now it detects “pinch” (touching the index finger to the thumb) and “clench” (make a loose fist), which can act as basic “next” and “confirm” actions. Incoming calls, for instance, can be quickly accepted with a clench.

Most impressive, however, is the motion pointer. You can activate it either by selecting it in the Assistive Touch menu, or by shaking your wrist vigorously. It then detects the position of your hand as you move it around, allowing you to “swipe” by letting the cursor linger at the edge of the screen, or interact with things using a pinch or clench.

Needless to say this could be extremely helpful for anyone who only has the one hand available for interacting with the watch. And even for those who don’t strictly need it, the ability to keep one hand on the exercise machine, cane, or whatever else while doing smartwatch things is surely an attractive possibility. (One wonders about the potential of this control method as a cursor for other platforms as well…)

Memoji featuring new accessibility-focused gear.

Image Credits: Apple

Assistive Touch is only one of many accessibility updates Apple shared in this news release; other advances for the company’s platforms include:

  • SignTime, an ASL interpreter video call for Apple Store visits and support
  • Support for new hearing aids
  • Improved VoiceOver-based exploration of images
  • A built-in background noise generator (which I fully intend to use)
  • Replacement of certain buttons with non-verbal mouth noises (for people who have limited speech and mobility)
  • Memoji customizations for people with oxygen tubes, cochlear implants, and soft helmets
  • Featured media in the App Store, Apple TV, Books, and Maps apps from or geared towards people with disabilities

It’s all clustered around Global Accessibility Awareness Day, which is tomorrow, May 20th.


Source: Tech Crunch

A new tip line invites anyone to name and shame companies for dark pattern designs

You may not be familiar with the term “dark patterns” but the manipulative design phenomenon is ubiquitous in the apps and services we use every day.

Dark patterns nudge consumers to make choices that enrich companies, usually at their own expense. That can look like misleading wording that leads someone to sign their personal data away or a hidden button that results in a renewed subscription they’d probably rather cancel.

If you run across a sketchy dark pattern design, you can now report it on Darkpatternstipline.org, a dedicated site hosted by Consumer Reports. The new tip line is a joint project from the EFF, PEN America, Consumer Reports and Access Now, among other digital rights advocates.

Collecting dark pattern reports is an effort that could actually have teeth now, thanks to new laws taking aim at the manipulative design practice.

In March, California modified its landmark privacy law, the California Consumer Privacy Act (CCPA), to ban dark patterns in tech’s own backyard. “These protections ensure that consumers will not be confused or misled when seeking to exercise their data privacy rights,” California Attorney General Xavier Becerra said of the new regulations.

Even Congress is worried about dark patterns. In 2019, a bipartisan bill called the DETOUR Act sought to outlaw user interfaces “obscuring, subverting, or impairing user autonomy” for large companies with more than 100 million users. While that legislation didn’t go anywhere, coercive design choices are one of the many concerns that lawmakers have on their radar as they seek to implement new federal regulations for big tech companies.

For the tip line’s creators, flagging concerns for the regulators shaping tech policy is a priority. “If we want to stop dark patterns on the internet and beyond, we first have to assess what’s out there, and then use these examples to influence policymakers and lawmakers,” EFF Designer Shirin Mori said.

“We hope the Dark Patterns Tip Line will help us move towards more fair, equitable, and accessible technology products and services for everyone.”


Source: Tech Crunch

Liquid Instruments raises $13.7M to bring its education-focused 8-in-1 engineering gadget to market

Part of learning to be an engineer is understanding the tools you’ll have to work with — voltmeters, spectrum analyzers, things like that. But why use two, or eight for that matter, where one will do? The Moku:Go combines several commonly used tools into one compact package, saving room on your workbench or classroom while also providing a modern, software-configurable interface. Creator Liquid Instruments has just raised $13.7 million to bring this gadget to students and engineers everywhere.

Students at a table use a Moku Go device to test a circuit board.

Image Credits: Liquid Instruments

The idea behind Moku:Go is largely the same as the company’s previous product, the Moku:Lab. Using a standard input port, a set of FPGA-based tools perform the same kind of breakdowns and analyses of electrical signals as you would get in a larger or analog device. But being digital saves a lot of space that would normally go towards bulky analog components.

The Go takes this miniaturization further than the Lab, doing many of the same tasks at half the weight and with a few useful extra features. It’s intended for use in education or smaller engineering shops where space is at a premium. Combining eight tools into one is a major coup when your bench is also your desk and your file cabinet.

Those eight tools, by the way, are: waveform generator, arbitrary waveform generator, frequency response analyzer, logic analyzer/pattern generator, oscilloscope/voltmeter, PID controller, spectrum analyzer, and data logger. It’s hard to say whether that really adds up to more or less than eight, but it’s definitely a lot to have in a package the size of a hardback book.

You access and configure them using a software interface rather than a bunch of knobs and dials — though let’s be clear, there are good arguments for both. When you’re teaching a bunch of young digital natives, however, a clean point-and-click interface is probably a plus. The UI is actually very attractive; you can see several examples by clicking the instruments on this page, but here’s an example of the waveform generator:

Graphical interface for a waveform generator

Image Credits: Liquid Instruments

Love those pastels.

The Moku:Go currently works with Macs and Windows but doesn’t have a mobile app yet. It integrates with Python, MATLAB, and LabVIEW. Data goes over Wi-Fi.

Compared with the Moku:Lab, it has a few perks. A USB-C port instead of a mini, a magnetic power port, a 16-channel digital I/O, optional power supply of up to four channels, and of course it’s half the size and weight. It compromises on a few things — no SD card slot and less bandwidth for its outputs, but if you need the range and precision of the more expensive tool, you probably need a lot of other stuff too.

A person uses a Moku Go device at a desk.

Image Credits: Liquid Instruments

Since the smaller option also costs $500 to start (“a price comparable to a textbook”… yikes) compared with the big one’s $3,500, there’s major savings involved. And it’s definitely cheaper than buying all those instruments individually.

The Moku:Go is “targeted squarely at university education,” said Liquid Instruments VP of marketing Doug Phillips. “Professors are able to employ the device in the classroom and individuals, such as students and electronic engineering hobbyists, can experiment with it on their own time. Since its launch in March, the most common customer profile has been students purchasing the device at the direction of their university.”

About a hundred professors have signed on to use the device as part of their Fall classes, and the company is working with other partners in universities around the world. “There is a real demand for portable, flexible systems that can handle the breadth of four years of curriculum,” Phillips said.

Production starts in June (samples are out to testers), the rigors and costs of which likely prompted the recent round of funding. The $13.7M comes from existing investors Anzu Partners and ANU Connect Ventures, and new investors F1 Solutions and Moelis Australia’s Growth Capital Fund. It’s a convertible note “in advance of an anticipated Series B round in 2022,” Phillips said. It’s a larger amount than they intended to raise at first, and the note nature of the round is also not standard, but given the difficulties faced by hardware companies over the last year, some irregularities are probably to be expected.

No doubt the expected B round will depend considerably on the success of the Moku:Go’s launch and adoption. But this promising product looks as if it might be a commonplace item in thousands of classrooms a couple years from now.


Source: Tech Crunch

Google updates Firebase with new personalization features, security tools and more

At its I/O developer conference, Google today announced a slew of updates to its Firebase developer platform, which, as the company also announced, now powers over 3 million apps.

There’s a number of major updates here, most of which center around improving existing tools like Firebase Remote Config and Firebase’s monitoring capabilities, but there are also a number of completely new features here as well, including the ability to create Android App Bundles and a new security tool called App Check.

“Helping developers be successful is what makes Firebase successful,” Firebase product manager Kristen Richards told me ahead of today’s announcements. “So we put helpfulness and helping developers at the center of everything that we do.” She noted that during the pandemic, Google saw a lot of people who started to focus on app development — both as learners and as professional developers. But the team also saw a lot of enterprises move to its platform as those companies looked to quickly bring new apps online.

Maybe the marquee Firebase announcement at I/O is the updated Remote Config. That’s always been a very powerful feature that allows developers to make changes to live production apps on the go without having to release a new version of their app. Developers can use this for anything from A/B testing to providing tailored in-app experience to specific user groups.

With this update, Google is introducing updates to the Remote Config console, to make it easier for developers to see how they are using this tool, as well as an updated publish flow and redesigned test results pages for A/B tests.

Image Credits: Google

What’s most important, though, is that Google is taking Remote Config a step further now by launching a new Personalization feature that helps developers automatically optimize the user experience for individual users. “It’s a new feature of [Remote Config] that uses Google’s machine learning to create unique individual app experiences,” Richards explained. “It’s super simple to set up and it automatically creates these personalized experiences that’s tailored to each individual user. Maybe you have something that you would like, which would be something different for me. In that way, we’re able to get a tailored experience, which is really what customers expect nowadays. I think we’re all expecting things to be more personalized than they have in the past.”

Image Credits: Google

Google is also improving a number of Firebase’s analytics and monitoring capabilities, including its Crashlytics service for figuring out app crashes. For game developers, that means improved support for games written with the help of the Unity platform, for example, but for all developers, the fact that Firebase’s Performance Monitoring service now processes data in real time is a major update to having performance data (especially on launch day) arrive with a delay of almost half a day.

Firebase is also now finally adding support for Android App Bundles, Google’s relatively new format for packaging up all of an app’s code and resources, with Google Play optimizing the actual APK with the right resources for the kind of device the app gets installed on. This typically leads to smaller downloads and faster installs.

On the security side, the Firebase team is launching App Check, now available in beta. App Check helps developers guard their apps against outside threats and is meant to automatically block any traffic to online resources like Cloud Storage, Realtime Database and Cloud Functions for Firebase (with others coming soon) that doesn’t provide valid credentials.

Image Credits: Google

The other update worth mentioning here is to Firebase Extensions, which launched a while ago, but which is getting support for a few more extensions today. These are new extensions from Algolia, Mailchimp and MessageBird, that helps bring new features like Algolia’s search capabilities or MessageBird’s communications features directly to the platform. Google itself is also launching a new extension that helps developers detect comments that could be considered “rude, disrespectful, or unreasonable in a way that will make people leave a conversation.”


Source: Tech Crunch

Google Cloud launches Vertex AI, a new managed machine learning platform

At Google I/O today Google Cloud announced Vertex AI, a new managed machine learning platform that is meant to make it easier for developers to deploy and maintain their AI models. It’s a bit of an odd announcement at I/O, which tends to focus on mobile and web developers and doesn’t traditionally feature a lot of Google Cloud news, but the fact that Google decided to announce Vertex today goes to show how important it thinks this new service is for a wide range of developers.

The launch of Vertex is the result of quite a bit of introspection by the Google Cloud team. “Machine learning in the enterprise is in crisis, in my view,” Craig Wiley, the director of product management for Google Cloud’s AI Platform, told me. “As someone who has worked in that space for a number of years, if you look at the Harvard Business Review or analyst reviews, or what have you — every single one of them comes out saying that the vast majority of companies are either investing or are interested in investing in machine learning and are not getting value from it. That has to change. It has to change.”

Image Credits: Google

Wiley, who was also the general manager of AWS’s SageMaker AI service from 2016 to 2018 before coming to Google in 2019, noted that Google and others who were able to make machine learning work for themselves saw how it can have a transformational impact, but he also noted that the way the big clouds started offering these services was by launching dozens of services, “many of which were dead ends,” according to him (including some of Google’s own). “Ultimately, our goal with Vertex is to reduce the time to ROI for these enterprises, to make sure that they can not just build a model but get real value from the models they’re building.”

Vertex then is meant to be a very flexible platform that allows developers and data scientist across skill levels to quickly train models. Google says it takes about 80% fewer lines of code to train a model versus some of its competitors, for example, and then help them manage the entire lifecycle of these models.

Image Credits: Google

The service is also integrated with Vizier, Google’s AI optimizer that can automatically tune hyperparameters in machine learning models. This greatly reduces the time it takes to tune a model and allows engineers to run more experiments and do so faster.

Vertex also offers a “Feature Store” that helps its users serve, share and reuse the machine learning features and Vertex Experiments to help them accelerate the deployment of their models into producing with faster model selection.

Deployment is backed by a continuous monitoring service and Vertex Pipelines, a rebrand of Google Cloud’s AI Platform Pipelines that helps teams manage the workflows involved in preparing and analyzing data for the models, train them, evaluate them and deploy them to production.

To give a wide variety of developers the right entry points, the service provides three interfaces: a drag-and-drop tool, notebooks for advanced users and — and this may be a bit of a surprise — BigQuery ML, Google’s tool for using standard SQL queries to create and execute machine learning models in its BigQuery data warehouse.

We had two guiding lights while building Vertex AI: get data scientists and engineers out of the orchestration weeds, and create an industry-wide shift that would make everyone get serious about moving AI out of pilot purgatory and into full-scale production,” said Andrew Moore, vice president and general manager of Cloud AI and Industry Solutions at Google Cloud. “We are very proud of what we came up with in this platform, as it enables serious deployments for a new generation of AI that will empower data scientists and engineers to do fulfilling and creative work.”


Source: Tech Crunch