Today’s tech companies all agree that AI, bots and voice are the next big things. In today’s day and age, all we have to be able to interact with machines are keyboards, and they have reached their limits. What’s the next step? Conversation. But making a machine understand us and respond in natural language is a challenge that has yet to be solved.
The idea is to solve what Elon Musk sees as human’s fundamental input/output limitations. He said our hand input, say thumbs on a virtual iPhone keyboard, is incredibly slow. On the input side, we’re a lot better because we have a high-bandwidth visual interface. Today’s solutions remain very technical and too conceptual for people to truly comprehend and implement in their lives.
Zuckerberg envisages his AI ambition as follows: ‘I’ll start with the technology that we already have and then I’ll teach it to recognize my voice to operate everything in the house. Music, lights, temperature and so on. I’ll teach the technology to let my friends in by identifying their faces when they ring the bell. And I’ll also teach the technology to warn me when something is the matter in the bedroom of my daughter Max.’ In reply to the tens of thousands of reactions to his message, Zuckerberg writes that he has already found one product that he is taken with: ‘In the field of music, Amazon Echo is pretty good. It’s simple to control music with my voice while both my hands are busy tending to Max.’
Bots are a preoccupation in tech because they’re exploring artificial intelligence (AI) at scale. AI comes in two broad flavors: strong/general or weak/specific. The former is recursive and can contend with a wide set of questions with open-ended answers. The latter, on the other hand, responds to narrow sets of questions with scripted answers. We don’t have strong AI yet, but the current generation of bots is a good example of weak AI.
“In the new workforce of 2030, the most successful organizations will optimize the usage of all their resources, both human and machine, for competitive advantage. An increasing portion of your workforce will not be human,” Mr. Prentice said. “However, while machines are very good for consistency, performance, predictability, efficiency and safety; they can’t match humans’ skills in ingenuity, novelty, art, creativity, emotion, and to address variability and provide context.” – Gartner Summary of the top news from Gartner Symposium.
Today’s bots are often a combination of algorithms and/or human turks. Google Now and Siri are the former, while on-demand delivery services like Magic in the United States and Fetch in the United Kingdom are the latter. Facebook’s virtual assistant M, on the other hand, is a hybrid.
Given the limitations of specific AI, we need both context and precision. Brand engagements are an interesting way to provide both because they are industry, product or service specific. For example, you can trust that someone won’t ask a banking bot a question about football. And methods such as onboarding and prompts can help people further understand what they can ask each bot. Niche domain expertise – such as bots for mortgages or asset management – are another way to focus a conversation and avoid awkward failures.
The concern that some people have with bots is the risk of a tedious backand-forth. No one wants an interactive voice response system in their pocket.
To reduce such risk, many bot experiences are complementing text with cards and micro-apps. Both are ways to deliver thin, but robust, interactions inside of chats. “Show flights” within Google Now or ordering an Uber in Slack are both great examples.
At the end of the day, it is all sorts of virtual assistants that implement the ultimate customer experience, because they communicate with us in a natural manner and are aware of our deepest desires. Machine Intelligence plays a major role in this transition. We need Machine Intelligence to aggregate all our personal data, to filter and analyze them and eventually to transform them into an action or transaction. Albert Wenger, a partner with venture capital investor Juneon Square Ventures (USV), goes one step further. In his TEDx Talk: ‘A BIG idea, a bot idea’, he refers to the ‘right’ to have yourself be represented by a bot. These digital alter egos carry out work on behalf of their physical counterparts, based on personal data, and earn an income with which their owners of flesh and blood are able to support themselves. But to realize this, some steps will need to be taken first.
If software is eating the world, then it’s clear that messaging is eating software. Or to paraphrase another venture capitalist, Benedict Evans, “It used to be that all software expands until it includes messaging. Now all messaging expands until it includes software.”
The rise of chat gives entrepreneurs the unparalleled opportunity to align what their brands do with what they say. China, which was once known as the land of cheap rip-offs, may now be offering us a glimpse of the future. Facebook messenger is going to take over the world as WeChat did in China, according to the New York times. The right chat strategy, when executed well, will merge a brand’s persona with consumer expectations to create a seamless, intuitive experience. Whether that means adding chat functions to proprietary apps or creating branded bots on big platforms, organizations can now have more personalized conversations with their customers.
I’ll be at Silicon Beach Fest next week. Come say Hi! Btw you need a bot too. Give me 15 minutes or few emails if I can’t convince you, no one can! Email me at firstname.lastname@example.org to continue the conversation or try chatting with my bot.
Thoughts on bots.
Hot hot hot.
Bots have thoughts on lots and lots.
No dots. Just bots.
Hot / not? Great Scott!
If you talk like Dr Seuss to a bot, can it learn to respond in rhyme? We shall see. Yippee!
The internet is abuzz recently on the bot ecosystem that Facebook is seeking to create around Messenger, and of course Slack has been investing here for some time as well. Personally I found the bot announcements at Facebook’s F8 way less profound than Zuckerberg’s approach to a 10-year roadmap, his images of airplanes that can fly at 60K feet for months at a time and beam internet around the world, and his vision that in an AR-enabled future everything that projects an image today (such as a television) will be just a $1 app in an AR app store.
(If you have not watched his F8 keynote, take the 30 minutes to do so. I’m convinced that he’s the living embodiment of Steve Jobs, as no one else comes close to having his scale of impact on culture from a technology-led perspective.)
But…let’s talk about bots today. What should we expect from the coming bot-pocalypse?
Consumer Product Development Paradigm Shift
In the consumer software world, we are seeing a shift in behavior. After 9 years of staring at our phones for hours a day, and a product development world that’s been deeply focused on apps apps apps (Uber, Instagram, and Snapchat have been some of the most successful by-products of this era), we’re finally seeing a shift in product development trends.
Much like US politics, consumer product development seems to be shifting toward the extremes. And the two extremes of the shifting consumer product landscape are No UI and Immersive UI.
The Immersive UI trend is a subject for a long future post and I won’t dwell on it here. It includes VR, AR, and real-time video (interactive and consumptive).
The No UI trend includes voice (see my thoughts on voice as UI) and bots. The No UI trend begins to represent software in its purest form. One could say that it’s about humans talking directly to machines in command line form. But I like to think about it the opposite way. It’s about machines being able to talk to humans directly, and to compute the vagaries and nuances of human expression into command line themselves. To me, this distinction is the biggest difference between the app paradigm where most inputs are relatively structured via forms to fill out and things to swipe left or right on, and a No UI paradigm where the computer has to actually accept input, comprehend and process it, and generate its own output on the fly in a way that feels natural and normal to a human.
So what should we expect this product landscape to look like? I think we’ll see a lot of the same organizing principles that we’ve seen in the last two major computing eras, the dotcom boom (aka Web 1.0) and the mobile explosion of the last ten years, as follows…
The birth of the Internet, aka the dotcom boom, was roughly twenty-two years ago (for more from me on this see here). People for the first time had access to a global audience for their information or product. And after a swath of hand-built HTML sites begat GeoCities as well as the rise of the “webmaster”, we saw a number of verticalized publishing platforms emerge, which became how people put their stuff on the Internet. Content sites use content management platforms (WordPress, etc), Commerce sites use commerce platforms (Stripe, Magento, etc), and Community sites use community platforms (Drupal, MediaWiki, etc).
We will soon see a significant number of roll-your-own-bot publishing platforms — from bot content management to bot ecommerce to bot customer service and more.Init.ai (Techstars ’16) is an example here. All you need is a designated phone number from Twilio or Burner or the like and you can hang your bot shingle. The most verticalized of these roll-your-own-bot platforms will likely win rather than the ones that try to support too many different use cases. As an example, see Well (Techstars ’16) which is focused 100% on solving interactions around Healthcare. Or CarServ (Techstars ‘16), helping you communicate with your mechanic while your car is in the shop. OrSubcurrent (Techstars ’16) which is focused on on polls, surveys, and employee engagement. Verticalization wins in the bot platform space.
When websites first became a thing, every company needed a website. And in the mobile era, as apps became all the rage, everyone needed an app. But for a long time, very few companies had great app developers. To fill this void, we saw an explosion of mobile app development service businesses and agencies emerge. I suspect that in the bot paradigm, we will similarly see a number of bot companies supporting the big brand move to a messaging and chat interface via bots.
These companies will look innovative at first blush as they will be technology startups and will be facilitating big brands as they move to new interaction paradigms. But a large majority of them will end up as tech-enabled agency businesses not as venture-scale platforms. If you are building a bot-based business today in service of brands or clients as your customer, ask yourself how the business you are building can scale via software and self-service client onboarding rather than scaling via sales and account management.
I’m not talking about Skynet here. Rather, what will good bots actually be good at? Where will they make life better? Let’s look to past paradigms for a clue. If you look at the iTunes top 20 free mobile apps on any given day, usually around half of them are simply mobile extensions of multi-platform services (Spotify, Google Maps, Facebook, YouTube, etc). For these apps, mobile is a delivery channel rather than the defining characteristic of the business. And of the remaining other half of apps in the top 20, a good chunk of them are games. Indeed, games are the killer app on mobile.
So what will be the killer app for the bot paradigm? The killer bot? My bet is on the emergence of two large categories, (1) conversational commerce, and (2) habit behaviors.
Bots will win in commerce if the interaction is faster than it is in a mobile app. When you just want to order a sandwich from Uber Eats, it’s a pain to have to unlock your phone, find the app, open it, wait for it to load, search for what you want, and hit order. And it’s amazing that we’ve gotten to the point where we are this lazy, but it’s true. But if you could just send a quick message to Uber via Slack or FB Messenger asking for a sandwich, you could have it ordered in less than three quick typed responses.
Commerce bots will be a bit hit for transactional interactions where you already generally know what you want to order (e..g, Amazon, Uber, Instacart). We’ll also see an explosion of new bot-based stores that push product to you via messaging and engage with you like a person. Curation is looking like a key feature for this category of conversational commerce bots. We’re already seeing cool stuff here like The Edit and Stefan’s Head (Techstars ‘15).
Habit bots will solve the need to give you an info hit for that thing that is your daily (or hourly, or minutely!) obsession, whatever it is. “What’s the score of the Jayhawks game?” “How’s Facebook stock doing?” “Do I have any Twitter mentions?” “What’s my checking account balance?” A bot can answer questions like these for your much faster than a mobile app can. And it can allow you to take action, e.g., “buy 5 more shares of Facebook stock please”.
As a wildcard, I’m personally fascinated to see what happens in the content space with bots. Is the No UI world a good place to publish and consume content in an interactive, messaging-based fashion? Innovative companies like Purple and imperson (Techstars ’15) are pushing the envelope here and beginning to make a believer out of me.
In summary, I was disappointed that the theme emerging from F8 was “bots” rather than some of the grander vision that Facebook shared, but I understand the reason for it. There is an explosion of new innovation coming in this space, and the No UI trend is a real one. App fatigue is real. Zuckerberg is right that we don’t want or need to have an app installed for every interaction with every service. Snapchat has helped us value impermanence, and we’re about to enter a world where it is not just the content that we each create that can be ephemeral but instead the very nature of our interactions with the internet.
This has profound implications for customer acquisition and retention for businesses, but for consumers it should hopefully be a great thing. So here’s to ephemerality, here’s to No UI, and here’s to seeing what the entrepreneurial world can do with it. Go bots!
Originally posted on Medium.