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Canvy Google HTC brands humanizing trends

Humanizing brands – what does it mean in our age?

On the background of the news concerning the Google acquisition of certain HTC employees for a sum of $11 billion in cash, as captured by ZDNet, we wondered what does the public associate brands with  – nowadays.

The individual-behind-the brand is an obsolete trend. We remember the Steve Jobs cult, yet most of the customers of the same company today could hardly pin the current Apple CEO. A few amends can be made to this conclusion, however, since Facebook definitely means Zuckerberg, Virgin Group means Richard Branson and Tesla means Elon Musk.

When we see a person as being the brand, as in determining the fundamental decisions that steer a brand in what its products and societal impact mean, we’ve humanized the brand. All its employees and values are infused by the characteristics we associate with the one person that IS the brand.

However, is this just a perception, or does it have a nugget of truth in it?


The value of brand humanization

Profits. Influence. Isn’t that the core of commerce? These apparently come easier when instead of random clients, brands have loyal customers or even absolute fans. OK, let’s settle for the middle area of loyal customers – fans, although extremely in fashion for decades, are in fact a bit more. The amount of emotion involved in being a fan makes the entire thing a bit extreme, and in any serious study, the extremes are not taken into consideration.

*For those who enjoy video materials, here’s an Inc video on the value of brand humanization subject.

The process starts from the inside. As the brand owners personalize and humanize its presence, by attributing “character traits – likes, dislikes, mannerisms and a dialect” to it, and by positioning their campaigns “in and around these traits”, they induce the same perception to their target audience.

The process might take time, but it sure pays off in the end. There are recipes on how to approach this whole humanize-your-brand business. Big companies invest a lot of resources into it, smaller companies strike gold when they manage to infuse it on a more restrained budget.

The baseline – it’s not easy. Some specialize in it, others simply make the brand in their likeness. And yes, it is mostly about perception.


When the branding story parts with reality

Of course, all stories benefit or suffer from this phenomenon. Yet there is digression and digression. There are brands that have fallen due to being exposed as being the exact opposite of their official story. One cannot pretend to be ethical, for example, while in fact, not being – or can they?

Well, to put it bluntly, keeping up appearances works as long as no unwanted exposure turns the fans into haters. The game is a dangerous, especially when the reality does not at least partially keep up with the official image.

There are examples when the brand fans believe what they were led into believing, and ultimately contribute to fueling the image they want to be true. For example, Android and iOS are competitors, yet the big tech companies beneath these operating systems are in fact working together. Due to the patent system, one company actually gains when a product of the “adversary” is bought. Now, in a humanized version, would we see them as frenemies, as fair-play competitors, or as being in cahoots?

The same with merging, acquisitions and important personnel shifts – when actual humans associated with one brand go to a completely different company. We assume these former employees are imbued with the company values, and in turn the company values reside in each such employee. So, what happens when changes occur?


Keeping brand-related likes and dislikes genuine…

Snatching the approval of the potential audience is a game with high stakes. With Machine earning, AI, algorithms and big data involved, the customer is like an ancient king, maneuvered by clever, calculated decision makers.

However, even the turbulent history of humanity managed to have a few wise kings. Making educated choices, reaching a higher level of likes and dislikes, a level where we are emotional,, but also rational – here’s a possible way of actually being in charge as customers.

By supporting the brands which fake it less, and sanctioning the changes that we don’t like, we contribute as customers to a better future. Of course, we have to really understand what the values worth fighting for are, as well as the deep (yet amazingly prone to invisibility) link between what surrounds us and our own choices.

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Get the best out of modern cybersecurity, don’t let it get the best out of you

Alphabet, Google’s parent company, just launched its own cyber-security project, entitled Chronicle. The project targets enterprises and aims to help such customers better manage their own security.

The online media debate tackles the fact that, the Chronicle project resembles other countless similar projects. It hasn’t been disclosed so far what makes this particular project relevant and outstanding in the cyber-security environment. Gizmodo, for example, wonders what exactly qualifies as moonshot about this entire endeavor, besides being associated with Google, that is.


Modern cyber vulnerabilities call for modern cyber-security


Of course, we have a Captain Obvious thing here. Who does not know this in our day and age?  Well, when you juxtapose this with the fact that modern cyber-security is still in the making, perhaps we start getting the image of a current dilemma.

Most companies are aware of the IoT dawning upon their operations. The decision makers have moved forward to implement the necessary hardware and software changes. Yet the IoT comes along with cyber-vulnerabilities like never before, some of which have already been acted out.

It’s only logical that ubiquitous connectivity can be reversed into ubiquitous hacking, and malicious parties taking control of the companies’ networks. The cyber-security experts work continually towards improving the means of protection, yet sometimes it seems that the enemy manages to be ahead of them.

This fluctuating gap between the protectors and the attackers in cyber-security leaves room for a lot of misrepresentation, fuelled by the enterprises’ real and deeply rooted concern for their critical and sensitive data.

There are no standardized solutions, there are ambiguous sets of best practice measures, and there are quite a lot brands and branded cyber-security projects. The field is crowded, and there is a lot of noise – not at all the best atmosphere for encouraging straight thinking.


Get the best out of modern cyber-security


The online media means any piece of news travels fast and has a potentially global reach. Keep updated on the trajectory of the leading brands in cyber-security. As a CIO person, even as a CEO, the latest in cyber-security is now mandatory, not optional. At least a weekly update on what happened to notable importance is well advised.

This way you have a chance of learning from the mistakes of others, instead of repeating these mistakes. Also, when approached with various offers, it is easier to discern the actually possible/doable from the mass of wishful thinking you can be presented with by a bold, yet dubiously trustful specialized brand.


Now, the leading cyber-security brands rarely venture in making promises they cannot sustain. Reliability and consistency is part of being successful on the market for a long time. However, when their solutions seem similar, an educated partner of discussion from your company can go through the process of understanding what makes one potential partner stand out against the others.


In other words, you have to make the first step, and in order to do so (and be a solid discussion partner in cyber-security matters), you need a background, a pool of thematic general knowledge. There is no universal recipe for how to keep informed on the most important matters, but it is mandatory that you do so.


Don’t let it modern cyber-security get the best out of you


…especially that, as we’ve mentioned, there is no official modern cyber-security operations set, but rather a work-in-progress phenomenon.

In conclusion, the iterations that exude complete self-confidence and reassure you that your operations are completely protected in any eventuality – not valid.

A cyber-security partner that guarantees virtually nothing, because, well, it’s a big bad world and an infinity of threats out there – also to avoid.

The key is in the previous experience, in the continuous market presence, combined with a solid agreement – look for relevant certifications, find out whether your industry’s unique considerations are provided for and so on.

It takes patience and attention, but it pays off in the end. As the representative of a company or as a privacy-concerned individual, in this field is better to leave the enthusiastic attitude at the door, and poke into each detail, calmly and in the most concerned and calculated manner – before selecting your partner.

Google ArCore AR Canvy Team

ARCore SDK to replace Tango, rebranding will follow

Google announced its decision to end the support for its famous Project Tango on March 2018. Their alternative is ARCore, a new SDK that does not need additional hardware, thus making the AR adoption easier. Since Google Tango required for extra sensors to be added to the devices, in order to function, the hardware producers were reluctant, therefore the company reoriented its efforts towards a different technology. ARCore’s tagline is “Transform the future of work and play at Android scale”.

You may explore ARCore in detail here, by browsing the supported development environments, as well as the resources Google made available in the presentation of their product. The purpose of ARCore is similar to Project Tango, respectively it provides a multidimensional sense of the surrounding environment, through a motion tracking system that makes use of the smartphone camera. By mapping out the space in a tridimensional way, this technology serves in advanced AR projects (or at least this is what the company promises).

ARCore’s competitor is Apple’s ARKit, a platform ready for roll-out simultaneously with iOS 11.

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Trends that caught our attention: Google Pixel 2 news and DNA nanobots

While recovering from a local storm that managed to wreak havoc on the city here, we couldn’t help but browsing the bigger picture trending subjects – in the tech field, which is always a matter of interest here, at the Canvy Team.


Gogle Pixel 2 launch confirmed

With a timing that managed to out-trend even the iPhone X post-launch comments (at least in the USA), Google confirmed its October 4th event marking the launch of Pixel 2.

This high-end device competes in the premium segment. The additional Google-related rumors are that the company will replace the defective Nexus 6P with Pixel XL-s, even if the one year warranty term id overdue.

The price for the expected Pixel 2 remains yet to be announced, as well as the validity of the second piece of (unofficial) news.


DNA nanobots

On the healthcare-oriented side of next-gen technology, the Caltech researchers managed to make quite a few waves by reviving the idea of microscopic DNA robots set to intervene in favor of the human health by transporting molecules to specific places in the body. This time the robots evolved into a more feasible concept – the specialists speak of “pegs” that would enable the tiny robots to advance their way towards their destination inside the body.

However, as the source article mentions, “there’s a lot of work that needs to be done in order to perfect the technology and understand how the robots could work in a wider variety of situations”, a detail that might temper the enthusiasm, but nevertheless does not impair the fact that the scientists advance on their way to materializing the prototypes.


Conclusion in G minor

…Where G can either stand for Google – a brand definitely on top of the digital trends, or you can also look at the trending topics on (again!) Google, and see how G may stand for “games”, a subject that takes at least one of the top places weekly. This may be construed positively (people will always keep their playful nature), or negatively (all this tech primarily serves the gaming field, while other domains are not as appreciated). In fact, the balanced conclusion is nor here nor there.

Modern technology empowered customers like never before – in terms of making choices of high impact. Ultimately, the playfulness or seriousness of any tech product translates not into moral conclusions, but into profitability metrics. The most world saving concept can populate a dusty file if not approached and supported accordingly. Similarly, the video games industry is thriving due to the fact that it manages to captivate people of all ages.

On this note, we leave you to another week of tech discoveries, and we invite you once again to explore Canvy’s full array of features, as you might find things that you’ve missed before. Our Android contact manager app is pretty complex, and we welcome your feedback at out contact addresses!

Canvy Team digital precognition

The Canvy Team ponders on the need for digital precognition, as displayed by the Google Search

In a world of progress and digital revolution, the leading-edge tech companies have made it clear that mastering big data is the key to success. However, not all businesses have the resources to directly tap into this ocean of raw information. Yet all need to get exactly the right details out of it – in order to sell better, and provide better services to their customers. The percentage of companies that pay for “Interpreted-Data-as-a-Service” is most likely higher than the one of the companies that handle their own data needs on premise.

This is definitely one way to succeed in the modern business world – extrapolating and interpreting data. We might even say obsessing about it, when the results prove unsatisfactory – a sort of passion about numbers that holds the promise of the ultimate clarity, of the logical anticipation of the following key strategic steps.


Reducing the options, a way of better handling big data

Recently, Google’s search app on iOS got a Twitter-like “trending” feature, as well as the capability of displaying the estimated search results “even before (the users) press the search button”. Of course, the Android users of the Google App are already used with the “trending” suggestions, which appeared approximately one year ago – generating a long line of complaints.

Well, it seems like not all customers complaints’ are seen as constructive feedback by the company. Google simply goes on with certain features, regardless of the way the audience receives them. Probably, the higher purpose in introducing certain changes prevails.

And definitely a very important role of many of the latest changes, from algorithms to app updates or digital tools’ changes is related to what the machines need, in order to be able to process the global data and produce relevant results. For attaining a reasonable predictability, the algorithms need to evolve or – a more short-term alternative – to be fed logically organized data.


The randomness that usually characterizes human nature just isn’t that productive at the moment

Therefore, when searching for whatever goes through your mind on Google, its search app prompts various “nearest” categories, trying to eliminate unnecessary variation. Perhaps you call the same thing a different way, and in fact you are looking for exactly what your next-door neighbor is looking for. Perhaps you are susceptible of being influenced and you will end up looking for the same thing your neighbor looked for… the reasons you might take Google’s suggestions instead of using your own head are countless.

The outcome is what matters – big data becomes more logical, more efficiently digestible. Bots and algorithms can provide valid final predictions and results, businesses adopt these tools on a large scale. This technology is successful, even in its more rudimentary forms (as opposed to the highly advanced projects that try to materialize AGI)…


Digital precognition, data and businesses

Machine Learning is built on the (valid) assumption that the human brain works as a machine would, only it is an extremely sophisticated system. Well, this theory would find a lot of opponents, and even when accepted, it includes listing many exceptions, in order to fully describe the way we think and function.

However, the schematics of this concept are enough for the ML promoters to work on. Developing more and more advanced software tools, those who work in this field learn as they go along, combining the commercial value of each step and intermediary tool with their experimental value. The activity is both interesting and profitable.

Digital precognition, or the capacity of anticipating certain elements, from market movements to people’s reactions or choices, is already incipiently present in various software tools. Monitoring or cybersecurity tools, for example, are in some cases capable of alerting the users on the probability of an incident.

Therefore, we may say we already have achieved a certain degree of digital precognition.  Also, by teaching people to organize their thoughts and think in a less complicated/sophisticated way, the point where machines meet human thinking gets closer and closer.

Out of curiosity, just ask yourself what each update in your favorite apps that does not feel quite comfortable is in fact trying to teach you?