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How artificial intelligence will be used in 2021

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Scale AI CEO Alexandr Wang doesn’t need a crystal ball to see where artificial intelligence will be used in the future. He just looks at his customer list.

The four-year-old startup, which recently hit a valuation of more than $3.5 billion, got its start supplying autonomous vehicle companies with the labeled data needed to train machine learning models to develop and eventually commercialize robotaxis, self-driving trucks and automated bots used in warehouses and on-demand delivery.

The wider adoption of AI across industries has been a bit of a slow burn over the past several years as company founders and executives begin to understand what the technology could do for their businesses.

In 2020, that changed as e-commerce, enterprise automation, government, insurance, real estate and robotics companies turned to Scale’s visual data labeling platform to develop and apply artificial intelligence to their respective businesses. Now, the company is preparing for the customer list to grow and become more varied.

How 2020 shaped up for AI

Scale AI’s customer list has included an array of autonomous vehicle companies including Alphabet, Voyage, nuTonomy, Embark, Nuro and Zoox. While it began to diversify with additions like Airbnb, DoorDash and Pinterest, there were still sectors that had yet to jump on board. That changed in 2020, Wang said.

Scale began to see incredible use cases of AI within the government as well as enterprise automation, according to Wang. Scale AI began working more closely with government agencies this year and added enterprise automation customers like States Title, a residential real estate company.

Wang also saw an increase in uses around conversational AI, in both consumer and enterprise applications as well as growth in e-commerce as companies sought out ways to use AI to provide personalized recommendations for its customers that were on par with Amazon.

Robotics continued to expand as well in 2020, although it spread to use cases beyond robotaxis, autonomous delivery and self-driving trucks, Wang said.

“A lot of the innovations that have happened within the self-driving industry, we’re starting to see trickle out throughout a lot of other robotics problems,” Wang said. “And so it’s been super exciting to see the breadth of AI continue to broaden and serve our ability to support all these use cases.”

The wider adoption of AI across industries has been a bit of a slow burn over the past several years as company founders and executives begin to understand what the technology could do for their businesses, Wang said, adding that advancements in natural language processing of text, improved offerings from cloud companies like AWS, Azure and Google Cloud and greater access to datasets helped sustain this trend.

“We’re finally getting to the point where we can help with computational AI, which has been this thing that’s been pitched for forever,” he said.

That slow burn heated up with the COVID-19 pandemic, said Wang, noting that interest has been particularly strong within government and enterprise automation as these entities looked for ways to operate more efficiently.

“There was this big reckoning,” Wang said of 2020 and the effect that COVID-19 had on traditional business enterprises.

If the future is mostly remote with consumers buying online instead of in-person, companies started to ask, “How do we start building for that?,” according to Wang.

The push for operational efficiency coupled with the capabilities of the technology is only going to accelerate the use of AI for automating processes like mortgage applications or customer loans at banks, Wang said, who noted that outside of the tech world there are industries that still rely on a lot of paper and manual processes.

Lyron Foster is a Hawaii based African American Musician, Author, Actor, Blogger, Filmmaker, Philanthropist and Multinational Serial Tech Entrepreneur.

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Snowflake latest enterprise company to feel Wall Street’s wrath after good quarter

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Snowflake reported earnings this week, and the results look strong with revenue more than doubling year-over-year.

However, while the company’s fourth quarter revenue rose 117% to $190.5 million, it apparently wasn’t good enough for investors, who have sent the company’s stock tumbling since it reported Wednesday after the bell.

It was similar to the reaction that Salesforce received from Wall Street last week after it announced a positive earnings report. Snowflake’s stock closed down around 4% today, a recovery compared to its midday lows when it was off nearly 12%.

Why the declines? Wall Street’s reaction to earnings can lean more on what a company will do next more than its most recent results. But Snowflake’s guidance for its current quarter appeared strong as well, with a predicted $195 million to $200 million in revenue, numbers in line with analysts’ expectations.

Sounds good, right? Apparently being in line with analyst expectations isn’t good enough for investors for certain companies. You see, it didn’t exceed the stated expectations, so the results must be bad. I am not sure how meeting expectations is as good as a miss, but there you are.

It’s worth noting of course that tech stocks have taken a beating so far in 2021. And as my colleague Alex Wilhelm reported this morning, that trend only got worse this week. Consider that the tech-heavy Nasdaq is down 11.4% from its 52-week high, so perhaps investors are flogging everyone and Snowflake is merely caught up in the punishment.

Snowflake CEO Frank Slootman pointed out in the earnings call this week that Snowflake is well positioned, something proven by the fact that his company has removed the data limitations of on-prem infrastructure. The beauty of the cloud is limitless resources, and that forces the company to help customers manage consumption instead of usage, an evolution that works in Snowflake’s favor.

“The big change in paradigm is that historically in on-premise data centers, people have to manage capacity. And now they don’t manage capacity anymore, but they need to manage consumption. And that’s a new thing for — not for everybody but for most people — and people that are in the public cloud. I have gotten used to the notion of consumption obviously because it applies equally to the infrastructure clouds,” Slootman said in the earnings call.

Snowflake has to manage expectations, something that translated into a dozen customers paying $5 million or more per month to Snowflake. That’s a nice chunk of change by any measure. It’s also clear that while there is a clear tilt toward the cloud, the amount of data that has been moved there is still a small percentage of overall enterprise workloads, meaning there is lots of growth opportunity for Snowflake.

What’s more, Snowflake executives pointed out that there is a significant ramp up time for customers as they shift data into the Snowflake data lake, but before they push the consumption button. That means that as long as customers continue to move data onto Snowflake’s platform, they will pay more over time, even if it will take time for new clients to get started.

So why is Snowflake’s quarterly percentage growth not expanding? Well, as a company gets to the size of Snowflake, it gets harder to maintain those gaudy percentage growth numbers as the law of large numbers begins to kick in.

I’m not here to tell Wall Street investors how to do their job, anymore than I would expect them to tell me how to do mine. But when you look at the company’s overall financial picture, the amount of untapped cloud potential and the nature of Snowflake’s approach to billing, it’s hard not to be positive about this company’s outlook, regardless of the reaction of investors in the short term.

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A first look at Coursera’s S-1 filing

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After TechCrunch broke the news yesterday that Coursera was planning to file its S-1 today, the edtech company officially dropped the document Friday evening.

Coursera was last valued at $2.4 billion by the private markets, when it most recently raised a Series F round in October 2020 that was worth $130 million.

Coursera’s S-1 filing offers a glimpse into the finances of how an edtech company, accelerated by the pandemic, performed over the past year. It paints a picture of growth, albeit one that came at steep expense.

Revenue

In 2020, Coursera saw $293.5 million in revenue. That’s a roughly 59% increase from the year prior when the company recorded $184.4 million in top line. During that same period, Coursera posted a net loss of nearly $67 million, up 46% from the previous year’s $46.7 million net deficit.

Notably the company had roughly the same noncash, share-based compensation expenses in both years. Even if we allow the company to judge its profitability on an adjusted EBITDA basis, Coursera’s losses still rose from 2019 to 2020, expanding from $26.9 million to $39.8 million.

To understand the difference between net losses and adjusted losses it’s worth unpacking the EBITDA acronym. Standing for “earnings before interest, taxes, depreciation and amortization,” EBITDA strips out some nonoperating costs to give investors a possible better picture of the continuing health of a business, without getting caught up in accounting nuance. Adjusted EBITDA takes the concept one step further, also removing the noncash cost of share-based compensation, and in an even more cheeky move, in this case also deducts “payroll tax expense related to stock-based activities” as well.

For our purposes, even when we grade Coursera’s profitability on a very polite curve it still winds up generating stiff losses. Indeed, the company’s adjusted EBITDA as a percentage of revenue — a way of determining profitability in contrast to revenue — barely improved from a 2019 result of -15% to -14% in 2020.

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The owner of Anki’s assets plans to relaunch Cozmo and Vector this year

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Good robots don’t die — they just have their assets sold off to the highest bidder. Digital Dream Labs was there to sweep up IP in the wake of Anki’s premature implosion, back in 2019. The Pittsburgh-based edtech company had initially planned to relaunch Vector and Cozmo at some point in 2020, launching a Kickstarter campaign in March of last year.

The company eventually raised $1.8 million on the crowdfunding site, and today announced plans to deliver on the overdue relaunch, courtesy of a new distributor.

“There is a tremendous demand for these robots,” CEO Jacob Hanchar said in a release. “This partnership will complement the work our teams are already doing to relaunch these products and will ensure that Cozmo and Vector are on shelves for the holidays.”

I don’t doubt that a lot of folks are looking to get their hands on the robots. Cozmo, in particular, was well-received, and sold reasonably well — but ultimately (and in spite of a lot of funding), the company couldn’t avoid the fate that’s befallen many a robotics startup.

It will be fascinating to see how these machines look when they’re reintroduced. Anki invested tremendous resources into bringing them to life, including the hiring of ex-Pixar and DreamWorks staff to make the robots more lifelike. A lot of thought went into giving the robots a distinct personality, whereas, for instance, Vector’s new owners are making the robot open-source. Cozmo, meanwhile, will have programmable functionality through the company’s app.

It could certainly be an interesting play for the STEM market that companies like Sphero are approaching. It has become a fairly crowded space, but at least Anki’s new owners are building on top of a solid foundation, with the fascinating and emotionally complex toy robots their predecessors created.

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