personalization
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Personalization technology can lead to better experiences as it allows apps to customize their content for each individual user. But it can also chip away at user privacy. A company called Canopy wants to change that. It has developed a personalization engine that works without requiring users to log in or even provide an email. Instead, it uses a combination of on-device machine learning and differential privacy to offer a personalized experience to an app’s users. Now it’s demonstrating how this works with the launch of the news reader app, Tonic.
The new app is designed to be completely private, while also learning what you like over time, in order to offer a customized experience. But unlike other personalization engines, all the raw interaction and behavioral data stays on your own device. That means the company itself never see it, nor does any content provider or partner it works with, it says.
What we instead send over an encrypted connection to our server is a differentially private version of your personal interaction and behavior model. The local model of you that goes to Canopy never has a direct connection to the things you’ve interacted with, but instead represents an aggregate set of preferences of people like you. It’s a crucial difference for our approach: even in the worst case of the encryption failing, or our servers being hacked, no one could ever do anything with the private models because they do not represent any individual.
Another big differentiator is that Tonic puts you in control over your own personalization settings. This is not typical. If you’ve ever used an app powered by personalization technology, there’s probably been a point where you were recommended a song, video, or a news article, for example, that seemed to be entirely wrong and not representative of something you’d actually like. But you may have been at a loss as to why it was recommended, because most apps don’t detail this sort of information.
Tonic, on the other hand, lets you view, change and even reset your personalization settings whenever you want.

While Tonic is mainly meant to demonstrate of its engine in action — Canopy’s larger goal is to license the technology — the app itself has several other features that make it worth a look.
The company employs a human editorial team to help select the app’s news content, to ensure that it’s not offering a bunch of noise, like clickbait or “hate-reads.” It also avoids breaking news and “hot takes,” it says, as it’s not designed to be an app you use to track the latest news with urgency.
Instead, Tonic pulls from a diversity of sources with its core focus on bringing you a curated, personalized selection of daily reads to inform and inspire. And in the spirit of digital well-being, it’s a finite list of articles — not an endless news feed.
“We made Tonic because we were tired of having to give up our digital selves to get great recommendations, and because we wanted to build an alternative to endless feeds optimized for maximum engagement, breaking news, and outrage,” the company explains in its announcement of the app’s launch.
The technology’s arrival comes at a time when big tech is being investigated for carelessness with user data, and there’s increased attention on user privacy in general. Apple, for example, has made its respect for user privacy a key selling point for its hardware and software.
The New York-based startup was founded by Brian Whitman, formerly the founder of The Echo Nest and a former principal scientist at Spotify. The team also includes several ex-Spotify, Instagram, Google and New York Times execs. It’s seed-funded by Matrix Partners, and other investors from Spotify, WeWork, Splice, MIT Media Lab, Keybase, and more to the tune of $4.5 million dollars.
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Financial service companies like banks have seen some of their business cannibalised over the years with the rise of digital-based alternatives — often in the form of apps — that provide lower fees, faster responsiveness and more flexibility to consumers. Today, Toronto-based startup Flybits is announcing $35 million in funding for a platform that it believes can offer these banks a way of continuing to capture their users’ attention and help them pivot into the next generation of services, financial or otherwise.
Today, a typical end product for a customer of Flybits’ services will use insights to upsell a customer by offering financial services; for example, a bank providing an offer of a specific kind of loan or credit card that you are more likely to take; or to offer a loyalty program or rewards for usage. But the longer-term goal, said CEO and co-founder Hossein Rahnama, is to help its customers take on a bigger role as repositories that can be used for more than just money, and used beyond the walls of the bank.
“We don’t think banks will go away, as some do, but we think that they could have a role not just as money vaults, but as data vaults: a place where you can deposit data, which you trust,” he said in an interview. Indeed, some of the funding will be used to put into action some of the AI and machine learning patents the startup has amassed, with the building of a “data” marketplace for banks, fintechs and other data providers to partner and build more services together.
The Series C comes from an interesting group of investors that includes both strategic backers using Flybits’ services, as well as backers of the more non-strategic, financial kind. Led by Point72 Ventures (hedge fund supremo Steve Cohen’s VC fund), the list also includes Mastercard, Citi Ventures and Reinventure (the fund backed by Australia’s Westpac Banking Corporation), Portag3 Ventures, TD Bank and Information Venture Partners. Valuation is not being disclosed, and prior to this the company had raised around $15 million.
Much like another marketing tech company, Near — which today announced $100 million in funding — the premise that underpins Flybits’ technology is that there is a lot of disparate data out there that, if it’s treated correctly, can uncover a lot more insights about consumer behavior, and that by and large many companies are missing this opportunity because they haven’t found the right way of merging the data to unlock insights.
While Near is applying this to location-based data and a range of different verticals, Flybits’ primary target has been banks and the data that they and other financial services providers already possess.
Many smaller startups in the world of financial services have stolen a march on bigger incumbents by building personalization into their products from the ground up. (Indeed, some like Step, aimed at teens, are so personalised that they will actually change their service mix as their customer base grows up and needs new products.) This is something that incumbents might have been more readily able to do in the old days, when people knew their bank managers and tellers and made daily trips into branches to transact. In the digital age they have fallen behind and are now catching up.
Flybits’ investors have spotted that and this in part is why they are banking on technologies like this to help bigger companies catch up, not just in financial services (although with banking alone estimated to be a €6.9 trillion industry, this is clearly a good start).
“Personalization is mission-critical for all D2C businesses in the digital age. Flybits’ integrated platform allows financial services firms to offer contextualized experiences, driving product awareness and adding significant value to the lives of their customers,” said Ramneek Gupta, managing director and co-head of Venture Investing at Citi Ventures, in a statement. “We look forward to partnering with Flybits in its next phase of growth as it continues to set the bar for hyper-personalized customer experiences.”
Indeed, it’s not just banks that are working on upselling, or that have large repositories of data that are not used as well as they could be.
“Mastercard and Flybits share a vision on using data driven insights to enrich consumers’ experiences,” said Francis Hondal, president, Loyalty & Engagement at Mastercard, in a statement. “Our ultimate goal is to develop products and services that engage consumers in a highly contextual manner. Through this collaboration with Flybits, we’ll be able to offer rich, personalized experiences for them throughout their journeys.”
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Optimizely, a platform that offers tools for A/B testing and personalization on the web and in mobile apps, today announced that it has raised a total of $105 million. This includes a $50 million Series D round led by Goldman Sachs Private Capital, with the participation of Accenture Ventures, as well as a $55 million line of credit from Bridge Bank.
Goldman Sachs’s Michael Kondoleon will join Optimizely’s board of directors as a board member.
“We’re excited to reach this milestone because these investments cement our leadership position in the market,” Optimizely CEO Jay Larson told me. “We can invest more in products to put an even bigger gap between Optimizely and our competition. We can expand geographically. And we will continue to grow our team of world-class digital optimization experts. This is a big day for Optimizely and a big day for the experimentation and personalization industry.”
The company notes that about a quarter of the Fortune 100 currently use its services. The company says it now handles more than 6 billion events a day and that its customers have tripled their investments in digital experience optimization in the last two years. Current customers include the likes of Gap, Visa, IBM, StubHub, Metromile, Lending Club and Sonos.
In total, Optimizely has now raised more than $200 million, excluding the line of credit. The additional $55 million from Bridge Bank is a bit unusual, but not completely out of the ordinary for companies at this stage. “Bridge Bank is proud to continue working with Optimizely, a global leader at the forefront of the digital experience optimization market,” said Mike Lederman, senior vice president and western region director of Bridge Bank’s technology banking group. “Optimizely is on a path of substantial growth and the additional capital will help them continue to build market-leading products that are used by an increasing number of top global brands.”
As is pretty much standard for companies at this stage, Optimizely will use the new funding to drive growth.
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Pandora today announced the launch of its own, in-app voice assistant that you can call up at any time by saying “Hey Pandora,” followed by a request to play the music or podcasts you want to hear. The feature will allow you to not only control music playback with commands to play a specific artist, album, radio or playlist, but will also be capable of delivering results customized to you when responding to vague commands or those related to activity or mood. For example, you’ll get personalized results for requests like “play something new,” “play more like this,” “play music for relaxing,” “play workout music,” “play something I like” and others.
The company reports strong adoption of its service on voice-activated speakers, like Amazon Echo devices, where now millions of listeners launch Pandora music by speaking — a trend that inspired the move to launch in-app voice control.
“Voice is just an expected new way that you engage with any app,” notes Pandora Chief Product Officer Chris Phillips. “On the mobile app, we’re doing more than just your typical request against the catalog… asking: ‘hey, Pandora,’ to search and play or pause or skip,” he says. “What we’re doing that we think is pretty special is we’re taking that voice utterance of what someone asks for, and we’re applying our personalized recommendations to the response,” Phillips explains.
That means when you ask Pandora to play you something new, the app will return a selection that won’t resemble everyone else’s music, but will rather be informed by your own listening habits and personal tastes.
The way that result is returned may also vary — for some, it could be a playlist, for others an album and for others, it could be just a new song, a personalized soundtrack or a radio station.

“Play something new” isn’t the only command that will yield a personalized response, Pandora says. It will also return personalized results for commands related to your mood or activity — like workout music, something to relax to, music for cooking and more.
For podcasts, it can dig up episodes with a specific guest, play shows by title, or even deliver show recommendations, among other things.
Voice commands can be used in lieu of pressing buttons, too, in order to do things like add songs to a playlist or giving a song you like a thumbs up, for instance.
The new feature, called “Voice Mode,” taps into Pandora’s machine learning and data science capabilities, which is an active battleground between music services.
Spotify, for example, is well known for its deep personalization with its Discover Weekly and other custom playlists, like its Daily Mixes. But its own “voice mode” option is only available for its Premium users, according to a FAQ on the company’s website.
Pandora, meanwhile, is planning to roll out Voice Mode to all users — both free and paid.
For free users, the feature will work in conjunction with an existing ad product that allows users to opt in to watch a video in order to gain temporary access to Pandora’s on-demand service.
While this option is not live at launch, the plan is to allow any user to use the “Hey Pandora” command, then redirect free users with a request to play music on demand to instead play the opt-in ad first.
Pandora Voice Mode will launch today, January 15, to a percentage of the iOS and Android user base — around a million listeners. The company will track the speed, accuracy and performance of its results before rolling it out more broadly over the next couple of months.
Users with a Google Home device can also cast from their Pandora app to their smart speaker, and a similar feature will arrive on Alexa devices soon, the company believes.
Pandora works with Siri Shortcuts, too. That means you can now use voice to launch the app itself, then play a personalized selection of music without having to touch your phone at all.
Voice Mode will be available in the Pandora app via the search bar next to the magnifying glass.
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A more personalized version of Google Maps is now arriving on iOS. At Google’s I/O developer conference earlier this year, the company introduced a series of new features designed to help Google Maps users learn what’s happening around them, track area businesses to receive updates about their events and promotions and receive personalized suggestions of places to visit, dine and more. The latter now appear in a “For You” tab in the revamped Google Maps app, which first arrived on Android this June.
Today, the feature is rolling out more broadly.
According to Google, the “For You” tab is now making its way to more than 130 additional countries on Android and is launching on iOS across 40+ countries.
When switching over to this tab, you’ll see any number of suggestions — from newly opened places to visit or restaurants to try to new pop-ups to new menu items at favorite restaurants and restaurant suggestions Google thinks you’d like to try. It bases these on your personal tastes and preferences it’s inferred from your use of the Google Maps app, including what sort of businesses you search and follow.
The “For You” tab can also help you with travel planning, by making suggestions of places before you depart, Google notes.
To get better recommendations, you’ll want to follow local businesses you like in Google Maps, or even neighborhoods you frequent, to personalize your suggestions further.
The feature is part of a larger overhaul of Google Maps that’s aiming to challenge Facebook as the place where businesses offer updates of their goings-on, news about their sales, events and other information they want to share with customers — as well as target potential new customers through ads and being featured in users’ recommendations.
In October, Google Maps launched the “Follow” button for tracking businesses, and last month rolled out a new “Google My Business” app for business owners, so they could more easily create and publish content to their business profile on Google.
With these products in place — content publication tools and the ability for users to follow that content — Google is now ready to turn those signals into personalized suggestions. You’ll find it at the bottom of the Google Maps app, where it will show you potential “matches” (and the percentage for the match), plus news about recent openings, trending spots and other suggestions.
The company says the “For You” tab is rolling out starting today across the new markets and on iOS.
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Last summer, Google introduced its own take on Bitmoji with the launch of “Mini” stickers in its keyboard app, Gboard, which leverage machine learning to create illustrated stickers based on your selfie. Today, Google is expanding the Mini Stickers with the launch of what it calls “Emoji Minis” – meaning, emoji-sized stickers that look like you.
Similar to the initial launch of Mini stickers, the new emoji are also created using machine learning techniques, Google says.
The company said the idea is to give people a way to use emoji they feel better represent who they really are.
“Emoji Minis are designed for those who may have stared into the eyes of emoji and not seen yourself staring back,” explained Google, in a blog post. “These sticker versions of the emoji you use every day are customizable so you can make them look just like you.”

That means your emoji can have differently colored hair – like green or blue or gray, for example – or piercings. It can be wearing a hat, head covering, or glasses.
Google says it uses neural networks to suggest skin tones, hairstyles, and accessories that you can then fine tune. You can choose a color for your hair, facial hair, or select different types of head covering and eyewear. You can also add freckles or wrinkles, if you want.
The result is a not just a single emoji, but a selection of options. For example, you can use your custom emoji as a zombie, mage, heart eyes, crying eyes, shruggie, and all the others.
This the third style of Mini stickers, first introduced last year. Already, these stickers come in two other styles – a more expressive “bold” and a nicer “sweet.”

While it may seem like a minor thing, creative emoji – and specifically, personalized emoji – can be a big draw for messaging apps. Apple advertises its clever Animoji and personalized Memoji as flagship features of its newer Face ID-powered phones. Snapchat bought Bitmoji (Bitstrips) to give its users access to more tools for creative expression. Samsung lets you make your own AR emoji that look like you. And people celebrated when the Unicode Consortium diversified to include more skin tones, and added, at long last, redheads.
Gboard, whose app has been downloaded over a billion times on Google Play, has a similar draw, thanks to its selfie-based stickers.
The company says the new Emoji Minis are available in all Gboard languages and countries, on both iOS and Android, starting today.
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The New York Times announced on Friday how it’s adding its own take on Facebook-style News Feed to its mobile app. Yes, literally a news feed. The publication says it will now allow its iOS app users to customize their reading experience through a new feature called “Your Feed,” which consists only of those channels readers choose to follow. Some of those channels will pull stories from existing New York Times sections and columns, like Modern Love, while others, like Gender & Society, At War, Pop Culture, and more will pull news from across the paper’s sections. And others will include commentary from reporters and editors, and will feature worthy reads from outside The Times.
This additional context will only be found in this personalized Your Feed section, and is something the publication says is an experiment in terms of bringing another layer of insight to the news and stories. On the technical side, the commentary itself is actually pulled from The Times’ Slack, through the use of a bot built by backend engineer Brandon Hopkins. It basically turns Slack into the CMS for publishing these short posts to the Your Feed section of the app.
The design team equates the Your Feed reading experience to the way people tend to peruse a printed newspaper. Beyond reading the front page news, people will often pull out the sections they want to read, and then thumb through them – coming across other stories they want to read. And different readers will gravitate towards different sections and articles.
It says the idea for the feed came from its user research, where it found that many people wanted a separate place from the home page to follow a customized feed of content.

With The NYT outputting around 160 articles per day, it’s very difficult to be a comprehensive reader of the paper in its entirety, of course. But the app already allowed users to poke around in its many sections by tapping through its navigation. With the addition of a personalized feed – as on Facebook and on other social apps – there’s always the danger that people will begin to box themselves into their own news bubble. If the app’s users start skipping the front page and other key sections to hop into this own custom feed, they could potentially miss important news.
Hopefully, readers will choose to use the new Your Feed feature as something that’s additive to their overall news reading experience, and not as a stand-in for actually reading the paper itself.
Additionally, The NYT says the sections will be curated by its editors to ensure there’s a diverse selection of stories available. (Thankfully – news curation left up to A.I. and algorithms has proven time and again to be a disaster. So much so that Facebook finally gave up, and ditched its Trending news section altogether.) Plus, by having a human-programmed section, the editors can ensure not to overwhelm readers with stories.
To use the new feature, readers in the iOS app will be able to pick from one of 24 channels they want to follow – an idea that’s not too unlike the way users follow accounts on social apps like Twitter or Instagram. To then read through this section, there will now be a new space in the iOS app labeled Your Feed.
Going forward, The NYT says it will tweak the experience further by adjusting the channel selection, offering more ways to follow channels, and rolling out other features, while responding to user feedback and behavior to inform its design choices. It will also experiment with different versions of saving stories, notifications, and ways to better manage your interests in the app.
The feature is available in the The NYT iOS app on iPhone and iPad for the time being. User feedback will determine if it expands to more platforms, the publisher told us. Your Feed is available to 100 percent of users who already had the app installed, but only half of new app downloads will receive the feature, we understand.
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Clinch aims to create video ads personalized for each viewer, and it’s raised $3 million to bring that technology to the United States. It’s not the only personalized video ad technology on the market, but CEO Oz Etzioni argued, “Nobody is doing what we’re doing.” By that, he means that Clinch’s ostensible competitors started out in display advertising… Read More
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You’ve probably had the experience of going to a website and seeing a lot of content that’s not really relevant. For the most part, a lot of this is organized in a way that’s either pre-defined or based on a limited number of signals that aims to sort of personalize the experience for a normal user. But as time goes on and the competition for eyeballs continues to heat up,… Read More
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Dynamic Yield, which uses machine learning to help online marketers personalize customer experiences on their site, has added $9 million to its Series C, bringing it to a new total of $31 million. Its new investors are DTCP (Deutsche Telekom Capital Partners) and La Maison. Read More
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