More thoughts on growing podcasts

We’ve aggregated many of the world’s best growth marketers into one community. Twice a month, we ask them to share their most effective growth tactics, and we compile them into this Growth Report.

This is how you stay up-to-date on growth marketing tactics — with advice that’s hard to find elsewhere.

Our community consists of startup founders and heads of growth. You can participate by joining Demand Curve’s marketing training program or its Slack group.

Without further ado, on to our community’s advice.


More thoughts on growing podcasts

Insights from Harry Morton of Lower Street.

Podcast growth is all about relationships. To increase your listenership, consider partnering with:

  1. Other podcasters. Do an episode swap where you play an episode of your show on theirs, and vice versa. Make sure the two podcasts share similarly minded audiences.
  2. Curators. Every podcast aggregator has someone responsible for curating their featured content. Look them up on LinkedIn. Reach out via email. Be their friend. Send them only your best stuff.
  3. Subscribers. You rise in Apple’s podcast charts (which account for 60% of podcast listenership) by having a subscriber growth spurt in a concentrated period of time (24-48 hours). So, when you release an episode, immediately run your audience promotions aggressively and all at once.

Increasing referral incentives might not increase referrals


Source: Tech Crunch

Qualified raises $12M to make websites smarter about sales and marketing

Qualified, a startup co-founded by former Salesforce executives Kraig Swensrud and Sean Whiteley, has raised $12 million in Series A funding.

Swensrud (Qualified’s CEO) said the startup is meant to solve a problem that he faced back when he was CMO at Salesforce. Apparently he’d complain about being “blind,” because he knew so little about who was visiting the Salesforce website.

“There could be 10 or 100 or 100,000 people on my website right now, and I don’t know who they are, I don’t know what they’re interested in, my sales team has no idea that they’re even there,” he said.

Apparently, this is a big problem in business-to-business sales, where waiting five minutes after a lead leaves your website can result in a 10x decrease in the odds of making contact. But the solution currently adopted by many websites is just a chatbot that treats every visitor similarly.

Qualified, meanwhile, connects real-time website visitor information with a company’s Salesforce customer database. That means it can identify visitors from high-value accounts and route them to the correct salesperson while they’re still on the website, turning into a full-on sales meeting that can also include a phone call and screensharing.

Qualified screenshot

Image Credits: Qualified

Of course, the amount of data Qualified has access to will differ from visitor to visitor. Some visitors may be purely incognito, while in other cases, the platform might simply know your city or what company you work for. In still others (say if you click on a link from marketing email), it can identify you individually.

That’s something I experienced myself, when I decided to take a look at the Qualified website this morning and was quickly greeted with a message that read, “👋 Welcome TechCrunch! We’re excited about our funding announcement…” It was a little creepy, but also much more effective than my visits to other marketing technology websites, where someone usually sends me a generic sales message.

Swensrud acknowledged that using Qualified represents “a change to people’s selling processes,” since it requires sales to respond in real-time to website visitors (as a last resort, Qualified can also use chatbots and schedule future calls), but he argued that it’s a necessary change.

“If you email them later, some percentage of those people, they ghost you, they get bored, they moved on to the competition,” he said. “This real-time approach, it forces organizations to think differently in terms of their process.”

And it’s an approach that seems to be working. Among Qualified’s customers, the company says ThoughtSpot increased conversations with its target accounts by 10x, Bitly grew its enterprise sales pipeline by 6x and Gamma drove over $2.5 million in new business pipeline.

The Series A brings Qualified’s total funding to $17 million. It was led by Norwest Venture Partners, with participation from existing investors including Redpoint Ventures and Salesforce Ventures. Norwest’s Scott Beechuk is joining Qualified’s board of directors.

“The conversational model is simply a better way to connect with new customers,” Beechuk said in a statement. “Buyers love the real-time engagement, sellers love the instant connections, and marketers have the confidence that every dollar spent on demand generation is maximized. The multi-billion-dollar market for Salesforce automation software is going to adopt this new model, and Qualified is perfectly positioned to capture that demand.”


Source: Tech Crunch

Extra Crunch Live: Join fintech legend Max Levchin for a live Q&A on August 6 at 4pm ET/1pm PT

We’ve got a great Extra Crunch Live chat coming up on Thursday, August 4, that you won’t want to miss. The one and only Max Levchin, is Silicon Valley icon and entrepreneur extraordinaire, is joining us to talk all things tech and fintech. You might know him as the CEO of Affirm, one of the hottest finance startups around right now, but he’s actually been a significant figure in tech in the Valley — and globally — for decades, making his name back in the first dot-com boom, as one of the co-founders of a little startup that you might have heard of called PayPal. Join us this week as we talk about all the many ways that fintech has evolved, what Levchin thinks about the current state of play, and what he thinks is coming next. ear from the one and only Max Levchin.

The magic happens in our next installment of our Extra Crunch Live series, on Thursday, August 4.

Extra Crunch Live is open exclusively to Extra Crunch subscribers. If you’re not already an Extra Crunch member, you can join here.

The EC Live format is a unique one for us at TC. It’s an hour-long conversation, and that allows us to take a deep dive, covering not only some of the biggest issues in tech, building startups and investing today but getting to the heart of them. At the same time, it’s a lighter format that’s actually fun to watch.

Taking the talk out of the formal, hushed, darkened rooms where you usually sit to listen to people get interviewed, we’re Zooming it and keeping it a little more relaxed, and we’re peppering the conversation with questions from you, the audience, throughout. See past talks with Sequoia’s Roelof Botha and Homebrew’s Hunter Walk for a taste of how this works.  (See the whole schedule of Extra Crunch Live talks here.)

Max’s current company, Affirm, is trying to bring something new to the world of financing payments, inking deals with a wide plethora of e-commerce sites to give shoppers a way to make interest-free payments in installments, based on a schedule that works for them, and signing up for the service in no more steps than it takes to make an ordinary card payment.

But because this is fintech — behind the scenes the real story is much more complex. Of course. Building these services today and building them 20+ years ago gives Levchin some amazing perspective on the challenges and opportunities of working with data. And it also has given him some critical insights into what consumers want and need, versus what they’ll actually use — lessons definitely pertinent to other financial services and e-commerce entrepreneurs, but actually just as important for other categories, too.

The “modern world” is a moveable feast these days: who would have thought in, say, January that the market conditions we face today would have shifted so drastically? All the more reason to continue the conversation and create more context to make better choices for your own business.

Join Max and me this week. We’re looking forward to it.

Extra Crunch Live is open exclusively to Extra Crunch subscribers, and so if you want to watch, join here. You can find the full details of the call below the jump!

Details:


Source: Tech Crunch

Announcing Sight Tech Global, an event on the future of AI and accessibility for people who are blind or visually impaired

Few challenges have excited technologists more than building tools to help people who are blind or visually impaired. It was Silicon Valley legend Ray Kurzweil, for example, who in 1976 launched the first commercially available text-to-speech reading device. He unveiled the $50,000 Kurzweil Reading Machine, a boxy device that covered a tabletop, at a press conference hosted by the National Federation of the Blind

The early work of Kurzweil and many others has rippled across the commerce and technology world in stunning ways. Today’s equivalent of Kurzweil’s machine is Microsoft’s Seeing AI app, which uses AI-based image recognition to “see” and “read” in ways that Kurzweil could only have dreamed of. And it’s free to anyone with a mobile phone. 

Remarkable leaps forward like that are the foundation for Sight Tech Global, a new, virtual event slated for Dec 2-3, that will bring together many of the world’s top technology and accessibility experts to discuss how rapid advances in AI and related technologies will shape assistive technology and accessibility in the years ahead.

The technologies behind Microsoft’s Seeing AI are on the same evolutionary tree as the ones that enable cars to be autonomous and robots to interact safely with humans. Much of our most advanced technology today stems from that early, challenging mission that top Silicon Valley engineers embraced to teach machines to “see” on behalf of humans.

From the standpoint of people who suffer vision loss, the technology available today is astonishing, far beyond what anyone anticipated even ten years ago. Purpose-built products like Seeing AI and computer screen readers like JAWS are remarkable tools. At the same time, consumer products including mobile phones, mapping apps, and smart voice assistants are game changers for everyone, those with sight loss not the least. And yet, that tech bonanza has not come close to breaking down the barriers in the lives of people who still mostly navigate with canes or dogs or sighted assistance, depend on haphazard compliance with accessibility standards to use websites, and can feel as isolated as ever in a room full of people. 

A computer can drive a car at 70 MPH without human assistance but there is not yet any comparable device to help a blind person walk down a sidewalk at 3 MPH.

In other words, we live in a world where a computer can drive a car at 70 MPH without human assistance but there is not yet any comparable device to help a blind person walk down a sidewalk at 3 MPH. A social media site can identify billions of people in an instant but a blind person can’t readily identify the person standing in front of them. Today’s powerful technologies, many of them grounded in AI, have yet to be milled into next-generation tools that are truly useful, happily embraced and widely affordable. The work is underway at big tech companies like Apple and Microsoft, at startups, and in university labs, but no one would dispute that the work is as slow as it is difficult. People who are blind or visually impaired live in a world where, as the science fiction author William Gibson once remarked, “The future is already here — it’s just not very evenly distributed.”

That state of affairs is the inspiration for Sight Tech Global. The event will convene the top technologists, human-computer interaction specialists, product designers, researchers, entrepreneurs and advocates to discuss the future of assistive technology as well as accessibility in general. Many of those experts and technologists are blind or visually impaired, and the event programming will stand firmly on the ground that no discussion or new product development is meaningful without the direct involvement of that community. Silicon Valley has great technologies but does not, on its own, have the answers.

The two days of programming on the virtual main stage will be free and available on a global basis both live and on-demand. There will also be a $25 Pro Pass  for those who want to participate in specialized breakout sessions, Q&A with speakers, and virtual networking. Registration for the show opens soon; in the meantime anyone interested may request email updates here

It’s important to note that there are many excellent events every year that focus on accessibility, and we respect their many abiding contributions and steady commitment. Sight Tech Global aims to complement the existing event line-up by focusing on hard questions about advanced technologies and the products and experiences they will drive in the years ahead – assuming they are developed hand-in-hand with their intended audience and with affordability, training and other social factors in mind. 

In many respects, Sight Tech Global is taking a page from TechCrunch’s approach to its AI and robotics events over the past four years, which were in partnership with MIT and UC Berkeley.  The concept was to have TechCrunch editors ask top experts in AI and related fields tough questions across the full spectrum of issues around these powerful technologies, from the promise of automation and machine autonomy to the downsides of job elimination and bias in AI-based systems. TechCrunch’s editors will be a part of this show, along with other expert moderators.  

As the founder of Sight Tech Global, I am drawing on my extensive event experience at TechCrunch over eight years to produce this event. Both TechCrunch and its parent company, Verizon Media, are lending a hand in important ways. My own connection to the community is through my wife, Joan Desmond, who is legally blind. 

The proceeds from sponsorships and ticket sales will go to the non-profit Vista Center for Blind and Visually Impaired, which has been serving Silicon Valley area for 75 years. The Vista Center owns the Sight Tech Global event and its executive director, Karae Lisle is the event’s chair. We have assembled a highly experienced team of volunteers to program and produce a rich, world-class virtual event on December 2-3.

Sponsors are welcome, and we have opportunities available ranging from branding support to content integration. Please email sponsor@sighttechglobal.com for more information.

Our programming work is under way and we will announce speakers and sessions over the coming weeks. The programming committee includes Jim Fruchterman (Benetech / TechMatters) Larry Goldberg (Verizon Media), Matt King (Facebook) and Professor Roberto Manduchi (UC Santa Cruz). We welcome ideas and can be reached via programming@sighttechglobal.com

For general inquiries, including collaborations on promoting the event, please contact info@sighttechglobal.com.


Source: Tech Crunch

Trump calls TikTok a hot brand, demands a chunk of its sale price

Today the president appeared to bless the budding Microsoft-TikTok deal, continuing his evolution on a possible transaction. After stating last Friday that he’d rather see TikTok banned than sold to a U.S.-based company, Trump changed his tune over the weekend. TikTok is owned by China-based company ByteDance, which owns a portfolio of apps and services.

A weekend phone call between Satya Nadella, the CEO of Microsoft, and the American premier appeared to change his mind, leading to the software company sharing publicly on Sunday that it was pursuing a deal.

Then today the president, endorsing a deal between an American company and ByteDance over TikTok, also said that he expects a chunk of the sale price to wind up in the accounts of the American government.

The American president has long struggled with basic economic concepts. For example, who pays tariffs. But to see Trump state that he expects to receive a chunk of a deal between two private companies that he is effectively forcing to the altar is surreal.

To fully grok his take, we’ve roughly transcribed the pertinent few minutes of his explanation from this morning, when asked about the weekend call with Microsoft’s Nadella. It’s worth a read (bold highlights are TechCrunch’s):

We had a great conversation, uh, he called me, to see whether or not, uh, how I felt about it. And I said look, it can’t be controlled, for security reasons, by China. Too big, too invasive. And it can’t be. And here’s the deal. I don’t mind if, whether it’s Microsoft or somebody else — a big company, a secure company, a very American company — buy it.

It’s probably easier to buy the whole thing than to buy 30% of it. ‘Cause I say how do you do 30%? Who’s going to get the name? The name is hot, the brand is hot. And who’s going to get the name? How do you do that if it’s owned by two different companies? So, my personal opinion was, you are probably better off buying the whole thing rather than buying 30% of it. I think buying 30% is complicated.

And, uh, I suggested that he can go ahead, he can try. We set a date, I set a date, of around September 15th, at which point it’s going to be out of business in the United States. But if somebody, whether it’s Microsoft or somebody else, buys it, that’ll be interesting.

I did say that if you buy it, whatever the price is, that goes to whoever owns it, because I guess it’s China, essentially, but more than anything else, I said a very substantial portion of that price is going to have to come into the Treasury of the United States. Because we’re making it possible for this deal to happen. Right now they don’t have any rights, unless we give it to ’em. So if we’re going to give them the rights, then it has to come into, it has to come into this country.

It’s a little bit like the landlord-tenant [relationship]. Uh, without a lease, the tenant has nothing. So they pay what is called “key money” or they pay something. But the United States should be reimbursed, or should be paid a substantial amount of money because without the United States they don’t have anything, at least having to do with the 30%.

So, uh, I told him that. I think we are going to have, uh, maybe a deal is going to be made, it’s a great asset, it’s a great asset. But it’s not a great asset in the United States unless they have the approval of the United States.

So it’ll close down on September 15th, unless Microsoft or somebody else is able to buy it, and work out a deal, an appropriate deal, so the Treasury of the — really the Treasury, I suppose you would say, of the United States, gets a lot of money. A lot of money.


Source: Tech Crunch

After Shopify’s huge quarter, BigCommerce raises its IPO price range

When BigCommerce, the Texas-based Shopify competitor, first announced an IPO price range, the numbers looked a little light.

With a range of just $18 to $20 per share, it appeared that the firm was targeting a valuation of around $1.18 billion to $1.31 billion. Given that BigCommerce had revenue of “between $35.5 million and $35.8 million” in Q2 2020, up a little over 30% from the year-ago period (and better margins than Shopify) its implied revenue multiple that its IPO price range indicated felt low.

At the time, TechCrunch wrote that “BigCommerce feels cheap at its current multiple,” and that if you added “recent market exuberance for cloud shares that we’ve see in other IPOs … it feels even more underpriced.”

Those feelings have been borne out. Today, BigCommerce announced a new, higher IPO price range. The firm now intends to price its IPO between $21 and $23 per share. Let’s calculate its new valuation, compare that to its preliminary Q2 results to get new multiples for the impending e-commerce software IPO, and figure how its most recent investors are set to fare in its impending debut.

Pricing

By moving its pricing up from $18 to $20 to $21 to $23, BigCommerce boosted its IPO range by 16.7% at its lower end and 15% at the upper end. At its new prices BigCommerce is worth between $1.38 billion and $1.51 billion.


Source: Tech Crunch

SaaS securitization will disrupt VC’s biggest returns this coming decade

SaaS investing has been on fire the past decade and the returns have been gushing in, with IPOs like Datadog, direct listings like Slack and acquisitions like Qualtrics (which is now being spun back out) creating billions of wealth and VC returns. Dozens more SaaS startups are on deck to head toward their exits in the same way, and many VC funds — particularly those with deep portfolios in the SaaS space — are going to perform well.

Yet, the gargantuan returns we are seeing today for SaaS portfolios are unlikely to repeat themselves.

The big threat in the short term is simply price: SaaS investing has gotten a lot more expensive. It may be hard to remember, but just a decade ago the business model of “Software as a Service” was revolutionary. Much in the way that it took years for cloud infrastructure to take hold in corporate IT departments, the idea that one didn’t license software but paid by user or by usage over time was almost heretical.

For VCs willing to make the leap into the space, prices were (relatively) cheap. Investor attention a decade ago was intensely centered on consumer web and mobile, driven by Facebook’s blockbuster IPO in May 2012 and Twitter’s IPO the following year. While every investor was chasing deals like Snap(chat), the smaller population of investors targeting enterprise SaaS (or even more exotic spaces like, gulp, fintech) got great deals on what would later become the decade’s biggest unicorns.


Source: Tech Crunch

SpaceX and NASA successfully return Crew Dragon spacecraft to Earth with astronauts on board

SpaceX and NASA have made history once again, successfully completing the crucial final phase of their Demo-2 mission for the Crew Dragon spacecraft, SpaceX’s first spacecraft made for human flight. This marks the end of this last demonstration mission, which flew NASA astronauts Bob Behnken and Doug Hurley to the International Space Station on May 30, where they remained for two months prior to making the return trip on Sunday.

SpaceX’s Crew Dragon appears to have performed exactly as intended throughout the mission, handling the launch, ISS docking, undocking, de-orbit and splashdown in a fully automated process that kept the astronauts safe and secure throughout. This final phase included recovery of Behnken and Hurley at sea in the Gulf of Mexico using SpaceX’s GO Navigator recovery vessel, which went smoothly, with the capsule loaded onto Navigator around 3:18 PM EDT, and the hatch opened at roughly 4:00 PM EDT, and the crew exiting starting at around 4:06 PM EDT. There were a number of private vessels in the area (you can see them in the gif below), which is a violation of the security conditions, but SpaceX established a perimeter and continued, which is essentially the best they can do under these conditions.

With the successful completion of this mission, everything should be in place to allow for the full certification of Crew Dragon and Falcon 9 as rated for human spaceflight according to NASA’s exactly standards – provided a final, thorough review of the entire mission from start to finish doesn’t reveal any remaining issues that need tidying up. Again, based on what we’ve seen, it looks like a more or less picture-perfect mission for Demo-2 from start to finish, so I wouldn’t expect any major barriers to certification. Note that this is also the first human splashdown in 45 years – when the final Skylab crew did that in 1974.

That means that the next step for Crew Dragon is to begin regular service as America’s primary source of transportation to and from the Space Station . The first of its operational missions, designated Crew-1, is currently set to take place sometime in late September, and will carry three NASA astronauts and one JAXA astronaut to the station for a regular tour as crew members of the orbital science platform.

This now also means that NASA will have control over its own transportation method for its astronauts (and astronauts from friendly nations) to and from the Space Station since the retirement of the Space Shuttle in 2011. The Commercial Crew program was designed to provide just that, but rather than having NASA responsible for the launch and transportation spacecraft as with the Shuttle, it’s partnering with private companies to offer it commercial service for those flights – SpaceX is now the first to complete the testing and development program, and Boeing is in process of becoming a second commercial ride provider for NASA to rely on.

NASA wants to ensure continued access to the ISS, and is also hoping to save money long-term and enable the commercial space industry by sharing rides aboard the Crew Dragon and Boeing’s Starliner with commercial astronauts. SpaceX has already partnered with a company to begin selling return trips aboard Crew Dragon (without an ISS stop) for private spacefarers, and Dragon has a total of seven potential seats for flying people, with NASA missions only ever slated to occupy four of those spots.


Source: Tech Crunch

It looks like Sequoia has hired a second partner in Europe: Revolut product lead George Robson

Silicon Valley venture capital firm Sequoia Capital recently set up shop in Europe after hiring Luciana Lixandru away from Accel’s London office. Now, according to a tweet by Revolut product lead George Robson, the VC has recruited a second European partner.

Robson, who also previously co-founded Kickstart London, a student-run accelerator programme in the U.K. and has worked at Morgan Stanley as an analyst, announced via Twitter last week that he has joined Sequoia’s burgeoning European operation where he says he’ll be working with the team “to help founders across Europe build the next generation of transformative companies”.

Writes Robson: “After ~3 years at Revolut working with some of the brightest minds building the world’s first truly global financial super-app, it’s time for my next move. I’m excited to share that I will be joining Sequoia as a Partner in Europe in late August”. In a second tweet, he adds that there is “more opportunity and innovation [in Europe] than ever”.

At Revolut, Robson was the product owner for Revolut Premium, the neobank’s paid-for bank account. Describing himself on LinkedIn as the first hire into Revolut’s subscription product team, he says he recruited for and managed multiple functions across product & engineering, product marketing and strategic partnerships.

He is said to also have been responsible for the roadmap delivery for Revolut’s retail plans, including the launch of “Revolut Metal”, and multiple third-party integrations including concierge, smart travel, insurance and gifting features.

Meanwhile, as mentioned, Robson adds to Sequoia’s first European partner recruit. Lixandru was poached from Accel and is best-known for leading the firm’s Series A in UiPath, and also worked with Deliveroo, Miro, and Tessian, amongst other successful upstart companies in Europe.


Source: Tech Crunch

AI is struggling to adjust to 2020

2020 has made every industry reimagine how to move forward in light of COVID-19: civil rights movements, an election year and countless other big news moments. On a human level, we’ve had to adjust to a new way of living. We’ve started to accept these changes and figure out how to live our lives under these new pandemic rules. While humans settle in, AI is struggling to keep up.

The issue with AI training in 2020 is that, all of a sudden, we’ve changed our social and cultural norms. The truths that we have taught these algorithms are often no longer actually true. With visual AI specifically, we’re asking it to immediately interpret the new way we live with updated context that it doesn’t have yet.

Algorithms are still adjusting to new visual queues and trying to understand how to accurately identify them. As visual AI catches up, we also need a renewed importance on routine updates in the AI training process so inaccurate training datasets and preexisting open-source models can be corrected.

Computer vision models are struggling to appropriately tag depictions of the new scenes or situations we find ourselves in during the COVID-19 era. Categories have shifted. For example, say there’s an image of a father working at home while his son is playing. AI is still categorizing it as “leisure” or “relaxation.” It is not identifying this as ‘”work” or “office,” despite the fact that working with your kids next to you is the very common reality for many families during this time.

Image Credits: Westend61/Getty Images

On a more technical level, we physically have different pixel depictions of our world. At Getty Images, we’ve been training AI to “see.” This means algorithms can identify images and categorize them based on the pixel makeup of that image and decide what it includes. Rapidly changing how we go about our daily lives means that we’re also shifting what a category or tag (such as “cleaning”) entails.

Think of it this way — cleaning may now include wiping down surfaces that already visually appear clean. Algorithms have been previously taught that to depict cleaning, there needs to be a mess. Now, this looks very different. Our systems have to be retrained to account for these redefined category parameters.

This relates on a smaller scale as well. Someone could be grabbing a door knob with a small wipe or cleaning their steering wheel while sitting in their car. What was once a trivial detail now holds importance as people try to stay safe. We need to catch these small nuances so it’s tagged appropriately. Then AI can start to understand our world in 2020 and produce accurate outputs.

Image Credits: Chee Gin Tan/Getty Images

Another issue for AI right now is that machine learning algorithms are still trying to understand how to identify and categorize faces with masks. Faces are being detected as solely the top half of the face, or as two faces — one with the mask and a second of only the eyes. This creates inconsistencies and inhibits accurate usage of face detection models.

One path forward is to retrain algorithms to perform better when given solely the top portion of the face (above the mask). The mask problem is similar to classic face detection challenges such as someone wearing sunglasses or detecting the face of someone in profile. Now masks are commonplace as well.

Image Credits: Rodger Shija/EyeEm/Getty Images

What this shows us is that computer vision models still have a long way to go before truly being able to “see” in our ever-evolving social landscape. The way to counter this is to build robust datasets. Then, we can train computer vision models to account for the myriad different ways a face may be obstructed or covered.

At this point, we’re expanding the parameters of what the algorithm sees as a face — be it a person wearing a mask at a grocery store, a nurse wearing a mask as part of their day-to-day job or a person covering their face for religious reasons.

As we create the content needed to build these robust datasets, we should be aware of potentially increased unintentional bias. While some bias will always exist within AI, we now see imbalanced datasets depicting our new normal. For example, we are seeing more images of white people wearing masks than other ethnicities.

This may be the result of strict stay-at-home orders where photographers have limited access to communities other than their own and are unable to diversify their subjects. It may be due to the ethnicity of the photographers choosing to shoot this subject matter. Or, due to the level of impact COVID-19 has had on different regions. Regardless of the reason, having this imbalance will lead to algorithms being able to more accurately detect a white person wearing a mask than any other race or ethnicity.

Data scientists and those who build products with models have an increased responsibility to check for the accuracy of models in light of shifts in social norms. Routine checks and updates to training data and models are key to ensuring quality and robustness of models — now more than ever. If outputs are inaccurate, data scientists can quickly identify them and course correct.

It’s also worth mentioning that our current way of living is here to stay for the foreseeable future. Because of this, we must be cautious about the open-source datasets we’re leveraging for training purposes. Datasets that can be altered, should. Open-source models that cannot be altered need to have a disclaimer so it’s clear what projects might be negatively impacted from the outdated training data.

Identifying the new context we’re asking the system to understand is the first step toward moving visual AI forward. Then we need more content. More depictions of the world around us — and the diverse perspectives of it. As we’re amassing this new content, take stock of new potential biases and ways to retrain existing open-source datasets. We all have to monitor for inconsistencies and inaccuracies. Persistence and dedication to retraining computer vision models is how we’ll bring AI into 2020.


Source: Tech Crunch