Canada welcomes AI

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There's no question that AI is redefining processes across a whole spectrum of businesses. There is, however, a question of what that means for the overall economy. Canada is now investing in AI
research with the expectation that it will benefit the country in general.

DeepMind, the London-based leader in artificial intelligence owned by Google’s parent-company Alphabet, is now reaching across the pond to Canada. On July 5, Demis Hassabis, co-founder and CEO, DeepMind announced “the opening of DeepMind’s first ever international AI research office in Edmonton, Canada, in close collaboration with the University of Alberta.”

Though it was announced as a “first” in terms of leaving the UK home base, in reality, as Bloomberg reported in December, the company started building up “a small team” of researchers at a Google office in Mountain View, Calif. Certainly, there is a lot more fanfare for its move to Canada.

In addition to contributing on the research and education end DeepMind plans to invest in programs to promote “Edmonton’s growth as a technology and research hub.” The funding for such programs are also coming from within Canada, as the University of Alberta reveals in its take on the news. It welcomes the DeepMind move as yet another advance toward AI research in the country, which is the goal set by “the federal government’s Pan-Canadian Artificial Intelligence Strategy.”

That federal program, which is to be run by CIFAR, the Canadian Institute for Advanced Research, is expected to invest $125 million (Canadian dollars) in trying to establish an AI foothold in Canada. Dr. Alan Bernstein, President and CEO of CIFAR was quoted in StartUpHereToronto saying he anticipates “enormous potential for innovation” resulting from the initiative:

“Deep AI is a platform technology that cuts across virtually all sectors of the economy, with the potential to improve people’s lives. It will help build a stronger and more innovative economy, create high value jobs, improve transportation and lead to better and more efficient health care and social services.”

That makes AI sound like is capable not only of boosting productivity but of improving things all around. In reality, though, it depends where you stand.

Read more in 

AI Arrives in Canada: Will Prosperity Follow?

When you're happy, you do show it

 Targeted marketing works when it is done in the right place and at the right time. Getting the place right is increasingly feasible with today's location-aware technology. But getting the time right depends on knowing when a person is in the mood to receive the message.

That's the goal behind the Centiment, a machine learning startup that applies AI to analyzing the expression of emotion “to make advertising more ethical and efficient for everyone.” It does that by creating what it calls “thought-driven AI and Google for feelings.”

In a phone interview, Micah Brown, the company's CEO and founder, explained how this approach is a game-changer that makes ads more effective by taking cues from “moods rather than price and brand.” The ads are designed to fit with how the individuals in the target market “are feeling at the current time rather than what you think is best from them.” 

The mood assessment offers two strategic advantages for marketers. One is that it allows them to deliver ads to people while they are in that receptive mood. The other is that they can see the feelings particular ads generate in their target market.

 Here's a video of Centiment in Action:

Read more in In the Mood for Marketing

It's not just about self-driving cars

Robert Bosch GmbH made headlines this past month as various newsoutlets echoed Bloomberg’s headline: “Bosch to Build $1.1 Billion Chip Plant for Self-Driving Cars.” While it may not quite stray into alternative fact territory, the headlines is somewhat misleading because the chips are not reserved for self-driving cars. Buried within the article is the acknowledgement that Bosch says they will also be used for “smart homes and Internet-linked city infrastructure.” By all measures, it's clear the company intends to be a major player in the global supply chain for connected electronics. 

It’s true that the company is invested in the development of autonomous cars. In March of this year, it GmbH  announced a partnership with the American company NVIDA, which produces artificial intelligence (AI) systems for self-driving vehicles” in which it would  build  an “artificial intelligence self-driving systems for mass market cars” based on NVIDA Drive PX line with Xavier architecture.

So it does make sense that it would be considering the automotive customer, especially if it is true that, as the Bloomberg article states, each car purchased last year “contained an average of nine chips made by Bosch.”

However, the story that Bosch itself  tells about its plans for the factory it is building in Dresden, Germany are not that narrowly focused, as revealed by its press release. 

Read more in 

Beyond the Headlines: Bosch’s $1.1 Billion Investment

VR building blocks from Google

Ariella Brown, Freelance Contributor

July 10, 2017

Google Gives Marketers VR Building Blocks

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Google Gives Marketers VR Building Blocks

Google wants you to experience and build up VR. To that end, it has not only introduced a program and tool for YouTube but come up with new formats for it to make it particularly attractive to marketers. It also reveals how VR can be an effective tool for engagement geared toward persuasion, which is nothing less than  the essence of marketing.

In a blog entitled Experimenting with VR Ad formats at Area 120, Google explained that in that inhouse startup incubator, which is designated for innovative exploration, they've turned their attention to “experimenting with what a native, mobile VR ad format might look like.”

Bearing in mind that users want their VR experiences to be simple to set up, they came up with the idea of a cube that gives users the ability to choose if they want “to engage with it and then see a video ad.” The video would play either in response to a touch or even a look and can then be closed.

The explanation of how it works is packed into this gif:

Read more in 

Google Gives Marketers VR Building Blocks

VR heats up at YouTube

n June 22, the New York Times reported that, with the exception of the gaming industry, VR has proven a disappointment. It cites weak sales for VR headsets and the fact that all the “dabbling” in VR ventures has not amounted to serious strides.

But that may change with a boost from YouTube. The Google-owned video site is promoting the development of VR videos with new resources and tools that help developers and may make VR videos more attractive for marketing.

Which VR elements in a video get the most attention? That's something that creators are able to track with Heatmaps, a feature that YouTube rolled “for 360-degree and VR videos with over 1,000 views” on June 16.

You can see an example of a heatmap applied to a music video here: 

Read more in YouTube Heats Up VR Market

If you're wondering about Bitcoin

https://upload.wikimedia.org/wikipedia/commons/thumb/c/c5/Bitcoin_logo.svg/1024px-Bitcoin_logo.svg.png

I've written quite a number of articles about the potential of digital currency, most of them for CoinDesk, but also for CFO. EETimes, and  EBN.

Find out why alpacas became an official mascot for Bitcoin and how the the “Casascius” got its name. You can even learn about the history of currency in real life and why metal and paper currency isn't practical on the final frontier.

Marketing B2B

B2B: Targeting Companies and Contacts

When it comes to B2B marketing, whom do you target? Do you go after the company or a particular individual? Whichever choice you make, there are, of course, solutions available to help you achieve your goal....

Just as it does for B2C, the strategy for B2B marketing starts with knowing who your target market is and reaching them with compelling content. 

read more in B2B: Targeting Companies and Contacts

STEM for women not happening in Star Wars

In November 2016, NASA shared this short video as a tribute from cast from Star Wars to honor the women at NASA who serve as “engineers, aviators, research scientists, astronauts and more are making a future possible for humanity in a galaxy far far away.” This is somewhat ironic in light of what followed in the Star Wars franchise.

In December 2016, the Star Wars film Rogue One was released with a female hero at the center of the film, and there were a couple of female fliers to be seen among the rebels. But the role of scientists and engineers were all held by men. The protagonist’s father was the chief scientist leading whose team of engineers were all men. Even if the film makers didn’t want to go so far as making the protagonist’s mother the scientist, they could have at least allowed for some female representation on the Empirical engineering department, but no.

So progressiveness in representation on film still has a long way to go. But the good news is that in real life and in our own galaxy women are doing better than they are in the Empire with respect to such positions.
Read more in Star Wars: Not Yet a Galaxy of Equal Opportunity

Twitter tools, now with more buttons!

Marketers have recognized the great potential for spreading their messages through shared content on social media. Now Twitter is bringing out new tools for tapping into that potential alongside the new chatbots designed to increase user engagement.

On May 23, Twitter announced that “a new, customizable Direct Message Card” was available to “in limited beta to Twitter advertisers.”  Combining eye-catching pictures or videos with :fully customizable call-to-action buttons,” the card gives marketers a way to reach new customers and further engage existing ones, as well as foster shares of branded interactive experiences, particularly for brands that use chatbots.

On June 13, Twitter further expanded the options for businesses to connect with customers through Direct Messaging with new buttons. As the Twitter blog put it, “ Now, businesses can attach buttons to messages to make it easy for people to take actions outside of the Direct Message conversation – like composing a Tweet, following an account, or opening a website within the Twitter app.”

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Cards, Buttons, and Bots (Tweet, Tweet!)

Location connecting social and marketing

Location-Based Social Marketing

For extreme introverts the great thing about social media is that you never have to see your connections in real life. But for people who like to actually interact with people face-to-face, as well as the businesses that seek to get people in a physical door, that can actually be a shortcoming. Location-aware social media can bridge that gap between the virtual and physical.

Location awareness is what distinguishes the Locye social media platform. It allows users to “observe social activity at real-time hotspots and places of interest worldwide” and to post content that those nearby can see. For those who don't want to give too much away, there is an option to post anonymously. Users can also select whether they want their posts kept up for just a day or for a virtual eternity. 

Locye's Founder and CEO, Sajjad Mustehsan, discussed the platform's potential for marketing with me. He said that it “will soon be offering business-to-consumer marketing capabilities” with three defining characteristics:

Read more in Location-Based Social Marketing

The problem of visibility in today's complex supply chains

Supply chains today are integral to building a competitive advantage. As they grow in complexity, those who manage them acknowledge that they do not have as full visibility as they should. Technological solutions can point the way to more visible, better managed, and more efficient supply chains that deliver better value for companies and their customers.

While there is wide variation in the supply chains of various businesses, there are still some identifiable trends. The 2017 GEODIS Supply Chain Worldwide survey (PDF) delves into some of them. The report draws on the responses of 623 professionals in 17 countries from various functions related to the supply chain, including finance, operations, marketing, strategy, IT, and management.

The majority (67%) of people surveyed in a position of supply chain leadership rank as C-Level or top management. This does appear to play some role in successfully strategies because businesses in which that position is help by “a middle manager seem less profitable.”

The top concerns for those who responded to the survey were, not surprisingly, “containment of their costs (32%).” That fits with their awareness of dealing with “global competition (28%).”  However, more than half (57%) reported that they see “Supply Chain as a competitive advantage, enabling the development of the company and not” merely an area in which to reduce expenses.   

Read more in 

Today’s Complex Supply Chains Demand Visibility Solutions

Data Scientist Interview

Domingos Lopes is about to begin a new job involving machine learning at Google after having completed the NYC Data Science Academy 12-Week Data Science Bootcamp. He came in with a strong math background, having earned a PhD in that field from NYU in 2016. After deciding that he did not want his job prospects to be limited to academic settings, Lopes decided that the best course of action was to acquire data science skills. In addition to the technical skills like Python fluency, he expects to draw on the ability to communicate data insight and work effectively in a team setting as he embarks on his career at Google.

Read more in https://www.switchup.org/blog/alumni-spotlight-domingos-lopes-hired-at-google

Wait, what?

This is not a post on the popular book that bears that title. (I did write about that here:  uncommoncontent.blogspot.com.) This is my reaction to the number a billion that sounds impressive but is really completely meaningless without context.*

When I shared a link today on LI, it offered me three other links to read. Among them was a FastCompany article, "Six Ways YouTube Is Primed For The Future (And Four Areas That Need Work)" Now read what it says for the fifth and see if you have the same reaction I do:

5. YouTube’s rebuilt algorithms have led viewers to watch 1 billion hours of video a day. YouTube is optimized for what it calls “watch time,” which encompasses what users view, how long they tune in, the length of their overall YouTube session, and so forth. Together, these signals help YouTube algorithms decide which videos a user is most likely to watch shortly after they’re posted and which will lead to the longest overall viewing period.

Do you get what's missing here? How many viewers are there? How many hours did they watch before the algorithms were rebuilt?

Without those two pieces of information, we really have no way of knowing how much of an advance one billion hours of video a day represents. Sure, it sounds like a lot, but we don't know if it represents the two billion people watching an average of a half an hour a day or one billion watching an average of an hour, or half a million watching two hours.

 We also don't know if the actual goal was to bring in more viewers or to keep the ones already watching on the channel for longer. That's a pretty important piece of context, as well, if one is to judge if the algorithms are accomplishing what the company intended for them. The article does refer to 800 million YouTube consumers of music but doesn't clarify whether or not that represents the viewers in total and if that number represents an increase over the number before the adjustment to the algorithms.

The bottom line is this: Don't be dazzled by numbers, no matter how large, that are presented without the relevant context.


*Related post http://writewaypro.blogspot.com/2016/10/data-visualization-you-have-to-c-it-to.html
http://uncommoncontent.blogspot.com/2017/09/missingness-at-museum.html

Expanding comments with AI

The problem with human moderators is that they have human limitations that cannot keep up with a

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huge influx of comments. That was the problem the New York Times faced in balancing reader comments demand with an editorial standard of civility for all published comments. Its solution was a partnership with , an incubator owned by Google's parent company, Alphabet.

Back in September, the Times announced the partnership in an article that set out the challenge faced by its 14 moderators tasked with reviewing the comments on the 10% of articles that do allow them. That alone amounted to 11,000 comments a day. As the article invited readers to try their hand at moderating, it was entitled Approve or Reject: Can You Moderate Five New York Times Comments?

I took the test. The official summary of my results were: "You moderated 4 out of 5 comments as the Community desk would have, and it took you 81 seconds. Moderating the 11,000 comments posted to nytimes.com each day would take you 49.5 hours."

That summation was followed by this: "Don't feel too bad; reviewing all of these comments takes us a long time, too." According to my calculations, however, the Times actually allows more time for their moderators. Given 14 people working 8 hours a day, the number of working hours each day would be 112, or more than twice the number of hours they said would be required for my rate of moderation.

That investment of so many hours is not something they regret, as they regard it as a requisite part of building up "one of the best communities on the web." However, they recognize that needs must dictate a new approach. That's where the machine assistance enters into the picture, enabling the same number of humans to effectively moderate a much larger number of comments and reduce the delay for reviewing time.

Flash forward to June 13, 2017, and the Gray Lady herself announces: The Times Sharply Increases Articles Open for Comments, Using Google's Technolog

Read more in How AI Can Moderate Comments, Eliminate Trolls

Personalized video marketing

“What's in a name?” Possibly quite a lot when it comes to personalized marketing.

Several months back I received a marketing email from Sprinklr that was rather ironic given its message about effective use of data. It opened like this: “ Hi {lead.First Name:default=}.”  Obviously, something went wrong, and I saw the code rather than my name.

Of course, personalized emails are not all that unusual any more, so some marketers have upped their game with personalized video. After receiving the “A Dog's Purpose” video (above) — in a correctly personalized email — I contacted Adgreetz's co-founder and CEO Eric Frankel about what data is used for this kind of personalized video marketing, and how the video was delivered to people who are 1) dog owners, and 2) have a dog of that particular name? 

read more in A Marketer's Best Friend