3 Technologies You Need To Start Paying Attention To Right Now

AnalyticsAnywhere

At any given time, a technology or two captures the zeitgeist. A few years ago it was social media and mobile that everybody was talking about. These days it’s machine learning and block chain. Everywhere you look, consulting firms are issuing reports, conferences are being held and new “experts” are being anointed.

In a sense, there’s nothing wrong with that. Social media and mobile computing really did change the world and, clearly, the impact of artificial intelligence and distributed database architectures will be substantial. Every enterprise needs to understand these technologies and how they will impact its business.

Still we need to remember that we always get disrupted by what we can’t see. The truth is that the next big thing always starts out looking like nothing at all. That’s why it’s so disruptive. If we saw it coming, it wouldn’t be. So here are three technologies you may not of heard about, but you should start paying attention to. The fate of your business may depend on it.

1. New Computing Architectures

In the April 19th issue of Electronics in 1965, Intel Co-Founder Gordon Moore published an article that observed the number of transistors on a silicon chip were doubling roughly every two years. Over the past half century, that consistent doubling of computing power, now known as Moore’s Law, has driven the digital revolution.

Today, however, that process has slowed and it will soon it come to a complete halt. There are only so many transistors you can cram onto a silicon wafer before subatomic effects come into play and make it impossible for the technology to function. Experts disagree on exactly when this will happen, but it’s pretty clear that it will be sometime within the next five years.

There are, of course, a number of ways to improve chip performance other than increasing the number of transistors, such as FPGA, ASIC and 3D stacking. Yet those are merely stopgaps and are unlikely to take us more than a decade or so into the future. To continue to advance technology over the next 50 years, we need fundamentally new architectures like quantum computing and neuromorphic chips.

The good news is that these architectures are very advanced in their development and we should start seeing a commercial impact within 5-10 years. The bad news is that, being fundamentally new architectures, nobody really knows how to use them yet. We are, in a sense, back to the early days of computing, with tons of potential but little idea how to actualize it.

2. Genetic Engineering

While computer scientists have been developing software languages over the past 50 years, biologist have been trying to understand a far more pervasive kind of code, the genetic code. For the most part, things have gone slowly. Although there has been significant scientific progress, the impact of that advancement has been relatively paltry.

That began to change in 2003 with the completion of the Human Genome Project. For the first time, we began to truly understand how DNA interacts with our biology, which led to other efforts, such as the Cancer Genome Atlas, as well as tangible advancements in agriculture. For the first time, genomics became more than mere scientific inquiry, but a source of new applications

Now, a new technology called CRISPR, is allowing scientists to edit genes at will. In fact, because the technology is simple enough for even amateur biologists to use, we can expect genetic engineering to become much more widespread across industries. Early applications include liquid fuels from sunshine and genomic vaccines.

“CRISPR is accelerating everything we do with genomics,” Megan Hochstrasser of the Innovative Genomics Initiative at Cal Berkeley told me, “from cancer research to engineering disease resistant crops and many other applications that haven’t yet come to the fore. Probably the most exciting aspect is that CRISPR is so cheap and easy to use, it will have a democratizing effect, where more can be done with less. We’re really just getting started.”

3. Materials Science

Traditionally, the way you improved a material to build a product has been a process of trial and error. You changed the ingredients or the process by which you made it and saw what happened. For example, at some point a medieval blacksmith figured out that annealing iron would make better swords.

Today, coming up with better materials is a multi-billion business. Consider the challenges that Boeing faced when designing its new Dreamliner. How do you significantly increase the performance of an airplane, a decades old technology? Yet by discovering new composite materials, the company was able to reduce weight by 40,000 pounds and fuel use by 20%.

With this in mind, the Materials Genome Initiative is building databases of material properties like strength, density and other things, and also includes computer models to predict what processes will achieve the qualities a manufacturer is looking for. As a government program, it is also able to make the data widely available for anyone who wants to use it, not just billion dollar companies like Boeing.

“Our goal is to speed up the development of new materials by making clear the relationship between materials, how they are processed and what properties are likely to result,” Jim Warren, Director of the Materials Genome program told me. “My hope is that the Materials Genome will accelerate innovation in just about every industry America competes in.”

It’s Better To Prepare Than Adapt

For the past few decades, great emphasis has been put on agility and adaptation. When a new technology, like social media, mobile computing or artificial intelligence begins to disrupt the marketplace, firms rush to figure out what it means and adapt their strategies accordingly. If they could do that a bit faster than the competition, they would win.

Today, however, we’re entering a new era of innovation that will look much more like the 50s and 60s than it will the 90s and aughts. The central challenge will no longer be to dream up new applications based on improved versions of old technologies, but to understand fundamentally new paradigms.

That’s why over the next few decades, it will be more important to prepare than adapt. How will you work with new computing architectures? How will fast, cheap genetic engineering affect your industry? What should you be doing to explore new materials that can significantly increase performance and lower costs? These are just some of the questions we will grapple with.

Not all who wander are lost. The challenge is to wander with purpose.

Source: Digital Tonto

Advertisements

The meaning of life in a world without work

As technology renders jobs obsolete, what will keep us busy? Sapiens author Yuval Noah Harari examines ‘the useless class’ and a new quest for purpose.

AnalyticsAnywhere

Most jobs that exist today might disappear within decades. As artificial intelligence outperforms humans in more and more tasks, it will replace humans in more and more jobs. Many new professions are likely to appear: virtual-world designers, for example. But such professions will probably require more creativity and flexibility, and it is unclear whether 40-year-old unemployed taxi drivers or insurance agents will be able to reinvent themselves as virtual-world designers (try to imagine a virtual world created by an insurance agent!). And even if the ex-insurance agent somehow makes the transition into a virtual-world designer, the pace of progress is such that within another decade he might have to reinvent himself yet again.

The crucial problem isn’t creating new jobs. The crucial problem is creating new jobs that humans perform better than algorithms. Consequently, by 2050 a new class of people might emerge – the useless class. People who are not just unemployed, but unemployable.

The same technology that renders humans useless might also make it feasible to feed and support the unemployable masses through some scheme of universal basic income. The real problem will then be to keep the masses occupied and content. People must engage in purposeful activities, or they go crazy. So what will the useless class do all day?

One answer might be computer games. Economically redundant people might spend increasing amounts of time within 3D virtual reality worlds, which would provide them with far more excitement and emotional engagement than the “real world” outside. This, in fact, is a very old solution. For thousands of years, billions of people have found meaning in playing virtual reality games. In the past, we have called these virtual reality games “religions”.

What is a religion if not a big virtual reality game played by millions of people together? Religions such as Islam and Christianity invent imaginary laws, such as “don’t eat pork”, “repeat the same prayers a set number of times each day”, “don’t have sex with somebody from your own gender” and so forth. These laws exist only in the human imagination. No natural law requires the repetition of magical formulas, and no natural law forbids homosexuality or eating pork. Muslims and Christians go through life trying to gain points in their favorite virtual reality game. If you pray every day, you get points. If you forget to pray, you lose points. If by the end of your life you gain enough points, then after you die you go to the next level of the game (aka heaven).

As religions show us, the virtual reality need not be encased inside an isolated box. Rather, it can be superimposed on the physical reality. In the past this was done with the human imagination and with sacred books, and in the 21st century it can be done with smartphones.

Some time ago I went with my six-year-old nephew Matan to hunt for Pokémon. As we walked down the street, Matan kept looking at his smartphone, which enabled him to spot Pokémon all around us. I didn’t see any Pokémon at all, because I didn’t carry a smartphone. Then we saw two others kids on the street who were hunting the same Pokémon, and we almost got into a fight with them. It struck me how similar the situation was to the conflict between Jews and Muslims about the holy city of Jerusalem. When you look at the objective reality of Jerusalem, all you see are stones and buildings. There is no holiness anywhere. But when you look through the medium of smartbooks (such as the Bible and the Qur’an), you see holy places and angels everywhere.

The idea of finding meaning in life by playing virtual reality games is of course common not just to religions, but also to secular ideologies and lifestyles. Consumerism too is a virtual reality game. You gain points by acquiring new cars, buying expensive brands and taking vacations abroad, and if you have more points than everybody else, you tell yourself you won the game.

You might object that people really enjoy their cars and vacations. That’s certainly true. But the religious really enjoy praying and performing ceremonies, and my nephew really enjoys hunting Pokémon. In the end, the real action always takes place inside the human brain. Does it matter whether the neurons are stimulated by observing pixels on a computer screen, by looking outside the windows of a Caribbean resort, or by seeing heaven in our mind’s eyes? In all cases, the meaning we ascribe to what we see is generated by our own minds. It is not really “out there”. To the best of our scientific knowledge, human life has no meaning. The meaning of life is always a fictional story created by us humans.

In his groundbreaking essay, Deep Play: Notes on the Balinese Cockfight (1973), the anthropologist Clifford Geertz describes how on the island of Bali, people spent much time and money betting on cockfights. The betting and the fights involved elaborate rituals, and the outcomes had substantial impact on the social, economic and political standing of both players and spectators.

The cockfights were so important to the Balinese that when the Indonesian government declared the practice illegal, people ignored the law and risked arrest and hefty fines. For the Balinese, cockfights were “deep play” – a made-up game that is invested with so much meaning that it becomes reality. A Balinese anthropologist could arguably have written similar essays on football in Argentina or Judaism in Israel.

Indeed, one particularly interesting section of Israeli society provides a unique laboratory for how to live a contented life in a post-work world. In Israel, a significant percentage of ultra-orthodox Jewish men never work. They spend their entire lives studying holy scriptures and performing religion rituals. They and their families don’t starve to death partly because the wives often work, and partly because the government provides them with generous subsidies. Though they usually live in poverty, government support means that they never lack for the basic necessities of life.

That’s universal basic income in action. Though they are poor and never work, in survey after survey these ultra-orthodox Jewish men report higher levels of life-satisfaction than any other section of Israeli society. In global surveys of life satisfaction, Israel is almost always at the very top, thanks in part to the contribution of these unemployed deep players.

You don’t need to go all the way to Israel to see the world of post-work. If you have at home a teenage son who likes computer games, you can conduct your own experiment. Provide him with a minimum subsidy of Coke and pizza, and then remove all demands for work and all parental supervision. The likely outcome is that he will remain in his room for days, glued to the screen. He won’t do any homework or housework, will skip school, skip meals and even skip showers and sleep. Yet he is unlikely to suffer from boredom or a sense of purposelessness. At least not in the short term.

Hence virtual realities are likely to be key to providing meaning to the useless class of the post-work world. Maybe these virtual realities will be generated inside computers. Maybe they will be generated outside computers, in the shape of new religions and ideologies. Maybe it will be a combination of the two. The possibilities are endless, and nobody knows for sure what kind of deep plays will engage us in 2050.

In any case, the end of work will not necessarily mean the end of meaning, because meaning is generated by imagining rather than by working. Work is essential for meaning only according to some ideologies and lifestyles. Eighteenth-century English country squires, present-day ultra-orthodox Jews, and children in all cultures and eras have found a lot of interest and meaning in life even without working. People in 2050 will probably be able to play deeper games and to construct more complex virtual worlds than in any previous time in history.

But what about truth? What about reality? Do we really want to live in a world in which billions of people are immersed in fantasies, pursuing make-believe goals and obeying imaginary laws? Well, like it or not, that’s the world we have been living in for thousands of years already.

Source: The Guardian

Past, Present and Future of AI / Machine Learning (Google I/O ’17)

 

We are in the middle of a major shift in computing that’s transitioning us from a mobile-first world into one that’s AI-first. AI will touch every industry and transform the products and services we use daily. Breakthroughs in machine learning have enabled dramatic improvements in the quality of Google Translate, made your photos easier to organize with Google Photos, and enabled improvements in Search, Maps, YouTube, and more.

 

Shiny vs Useful: Which trends in the analytics market are business ready?

OnTheGo

Business analytics continues to be a hot segment in the enterprise software market and a core component of digital transformation for every organization. But there are many specific advances that are at differing points along the continuum of market readiness for actual use.

It is critical that technology leaders recognize the difference between mature trends that can be applied to real-world business scenarios today versus those that are still taking shape but make for awe-inspiring vendor demos. These trends fall into categories ranked from least to most mature in the market: artificial intelligence (AI), natural language processing (NLP), and embedded analytics.

Artificial augments actual human intelligence

The hype and excitement surrounding AI, which encompasses machine learning (ML) and deep learning, has surpassed that of big data in today’s market. The notion of AI completely replacing and automating manual analytical tasks done by humans today is far from application to most real-world use cases. In fact, full automation of analytical workflows should not even be considered the final goal — now or in the future.

The term assistive intelligence is a more appropriate phrase for the AI acronym, and is far more palatable for analysts who view automation as a threat. This concept of assistive intelligence, where analyst or business user skills are augmented by embedded advanced analytic capabilities and machine learning algorithms, is being adopted by a growing number of organizations in the market today. The utility of these types of smart capabilities has proven useful in assisting with data preparation and integration, as well as analytical processes such as the detection of patterns, correlations, outliers and anomalies in data.

Natural interactions improve accessibility of analytics

Natural Language Processing (NLP) and Natural Language Generation (NLG) are often used interchangeably but serve completely different purposes. While both enable natural interactions with analytics platforms, NLP can be thought of as the question-asking part of the equation, whereas NLG is used to render findings and insights in natural language to the user.

Of the two, NLP is more recognizable in the mainstream market as natural language interfaces increasingly become more commonplace in our personal lives through Siri, Cortana, Alexa, Google Home, etc. Analytics vendors are adding NLP functionality into their product offerings to capitalize on this consumer trend and reach a broader range of business users who may find a natural language interface less intimidating than traditional means of analysis. It is inevitable that NLP will become a widely used core component of an analytics platform but it is not currently being utilized across a broad enough range of users or use cases to be considered mainstream in today’s market.

On the other hand, NLG has been in the market for several years but only recently has it been incorporated into mainstream analytics tools to augment the visual representation of data. Many text-based summaries of sporting events, player statistics, mutual fund performance, etc., are created automatically using NLG technology. Increasingly, NLG capabilities are also being used as the delivery mechanism to make AI-based output more consumable to mainstream users.

Recently, analytics vendors have been forging partnerships with NLG vendors to leverage their expertise in adding another dimension to data visualization, where key insights are automatically identified and expressed in a natural language narrative to accompany the visualization. While the combination of business analytics and NLG is relatively new, it is gaining awareness and traction in the market and has opened the door to new uses cases for organizations to explore.

Embedded analytics brings insights closer to action

The true value of analytics is realized when insights can inform decision-making to improve business outcomes. By embedding analytics into applications and systems, where decision-makers conduct normal business, a barrier to adoption is removed and insights are delivered directly to the person who can take immediate action.

Modern analytics platform vendors have made it incredibly easy for organizations to adopt an embedded strategy to proliferate analytic content to line-of-business users previously unreachable by traditional means. And organizations are now extending similar capabilities to customers, partners, suppliers, etc., in an effort to increase competitive differentiation and, in some cases, new revenue streams through monetization of data assets and analytic applications.

These innovations present technology leaders with a unique opportunity to lead their organizations into an era where data analysis is the foundation for all business decisions. Every organization will embark on this journey at its own pace. Some will be early adopters of new innovations and some will only adopt when the majority of the market has successfully implemented.

Ultimately, organizational readiness to adopt any new technology will be determined by end users and their ability and willingness to adopt new innovations and embrace process change.

Source: Tableau

Best Tablets For 2017: Android, iOS & Windows 10

onthego

One of the reasons Apple’s iPad was so successful was that, like many Apple products, it captured the public’s imagination – commercially, at least, there hadn’t been anything quite like it aimed at consumers, and it promised a bright sci-fi-like experience full of exciting possibilities.

The iPad introduced the idea of tablets to an unexpecting mass market. What wasn’t so predictable was the steady decline of tablets thereafter. Following the inevitable boom where everyone rushed to cash in on the sudden interest in tablets, sales have gradually dropped off year-on-year, and it’s not just competitor models this is happening to either, Apple itself is struggling to shift iPads in anywhere near the quantities it expected to or used to.

The catch, it seems, is that while users will happily replace their contract-tethered smartphone every year or two, buying a new tablet this regularly is a big no-no, and consumers seem to treat these larger devices similarly to laptops and PCs as a rare, carefully considered, and long-lasting purchase.

But that doesn’t mean tablets are useless. Indeed, they can be great content consumption–and even creation–devices. And the tablets on the market today are better than they have been during any time in the past.

Global market research firm TrendForce estimates that 2016 tablet sales numbered around 154.5 million units–or a  decline of 8.3% from the year earlier. They also estimate that global tablet shipments for 2017 are likely to fall by  5.3% annually this year to about 146.4 million units. In other words, tablet sales are still decreasing, but not by as much.

“Most tablet brands will be more conservative in committing their resources during 2017,” TrendForce notebook analyst Anita Wang pointed out. “Amazon and Huawei on the contrary have ambitions to increase their tablet shipments by many folds. The two brands are expected to expand their offerings in the near future. Additionally, Microsoft will be releasing Surface Pro 5 in the first quarter of 2017. Generally speaking, tablet shipments will drop next year but the decline will be fairly limited.”

The number of Android tablets in circulation has dropped off at a rather alarming rate during the past 18 months.

Not so long ago you couldn’t go a week without an Android tablet launching and now there fast becoming as rare as hen’s teeth.

A lot of this is to do with Apple’s iPad; it dominates the space almost entirely, just as the iPod did in the MP3 player space.

However, all is not lost – things are starting to change. And we have Microsoft to thank for that. Windows 10 and the hybrid machines it gave birth to and growing in popularity through their ability to bridge the gap between traditional laptop and tablet.

What the Android space REALLY needs is a decent ChromeOS dual-boot slate; a tablet that runs Android, but features all the cool attributes of ChromeOS.

Google is doing more cross-over stuff with Android and ChromeOS, but progress is painfully slow.

I would 1000% buy a Android tablet that could dual-boot ChromeOS. Hell, I’m tempted to start a KickStarter campaign to make it happen!

Budget tablets and hybrids like the current Surface Pro 4 and upcoming Surface Pro 5, and also the iPad Pro, are expected to be the driving forces behind 2017’s tablet space.

Here are our favorite tablets for 2017 so far.

iPad Pro 12.9in

The iPad Pro was the newest tablet of 2016–and it’s a monster. It’s got a massive 12.9-inch 2732 x 2048 resolution at 264 ppi. But beneath that gorgeous display is a powerhouse of productivity. Inside you’ll find and INSANELY fast A9X chip–it’s actually faster than the Intel chips found in some MacBooks. Add to that the 4GB of RAM and four speaker audio and it’s no wonder this thing was labeled “Pro”.

You can actually edit 4K video on it without any lag. That’s not even to mention the optional Apple Pencil, dubbed by many as the best stylus ever made. The Pencil and the Pro work so well together, some artists are even saying it’s the first tablet that’s as good as a real pencil and paper.

Samsung Galaxy TabPro S

Samsung’s hybrid Windows 10 machine has an amazing screen, decent specs and it looks really smart. Also, the battery life is pretty decent as well. Combine this with all the benefits you get from running Windows 10 and you have one hell of a productivity machine that is great for working on the move and consuming media while on riding plans and trains (or your sofa).

The Galaxy TabPro S comes with a keyboard, but if you want to take advantage of Windows Ink, you will need to pony up for a stylus. Why Samsung didn’t include one from the get go remains to be seen. Ink is an awesome feature that lets you add notes to applications and web pages. You can then get Cortana to store these notes for a later date.

Who’s this for? Anyone that wants a portable, powerful Windows 10 machine with tablet properties and a truly STUNNING display.

Samsung Galaxy TabPro S Specs

  •     Windows 10.
  •     12in Super AMOLED (2160×1440)
  •     6th Gen. Intel Core M processor (Dual Core 2.2GHz)
  •     4GB(RAM)
  •     128GB SSD.
  •     Wi-Fi 802.11 a/b/g/n/ac MIMO.
  •     Wi-Fi Direct.
  •     NFC.

iPad Air 2

While the iPad Pro is probably too much for most people, the iPad Air 2 is designed for everyone. Surprisingly, the Air 2 didn’t receive an update last year–it’s the exact same model as the year before. Given that it’s still one of the best tablets on the market it goes to show how ahead of its time it was for its 2014 release.

The iPad Air 2 features a 9.7-inch display with a 2048 x 1536 pixel resolution at 264 ppi. Though its A8X chip can’t compete with the A9X found in the iPad Pro, it’s no slouch either. The iPad Air 2 is not only great for browsing the web and sending email, but for getting major productivity tasks–such as video and photo editing–done.

iPad mini 4

Though the iPad mini 4 hasn’t seen an update recently, it’s still probably the best small-sized tablet on the market. It’s 7.9in 1536 x 2048 display isn’t too big or too small. It features a Dual-core 1.5 GHz processor with 2GB of RAM and comes in 16GB, 64GB, and 128GB options.

Samsung Galaxy Tab S2 8

The Galaxy Tab S2 8 doesn’t have the best design. It’s got a rubber body, which makes it look rather clunky. But what it lacks in sex appeal it makes up in specs. It features an 8-inch 2048 x 1536 resolution AMOLED display at 320 ppi. Inside you’ll find a powerful Exynos 7 Octa Core processor and 3GB of RAM. Combine all that with Samsung’s excellent craftsmanship and a built-in fingerprint scanner and the Galaxy Tab S2 8 is one of the best all-around Android tablets on the market.

Microsoft Surface Pro 4

It’s almost hard thinking about the Microsoft Surface Pro 4 as a true tablet. That’s because it does an amazing job doubling as a laptop (that’s good, considering Microsoft bills the Surface as a hybrid). The Surface Pro 4 packs a 12.3-inch 2736 x 1824 pixel display at 267 pixels per inch and comes in 128GB, 256GB, or 512GB storage options–far more than any other tablet on this list.

It also features Intel Skylake Core M3, Core i5, or Core i7 processors and 4GB, 8GB, or 16GB of RAM. Oh, and it runs the full version of Windows 10 so it can run any desktop app you own. And as with the Apple Pencil and the iPad Pro, the Surface Pro 4 has gotten high marks for its stylus, which is included (unlike with the iPad Pro).

Asus ZenPad 3S 10

The Asus ZenPad 3S 10 is perfectly proportioned for those looking for on-the-go usage. It has a 9.7in display and built-in support for high-resolution, meaning your tunes sound truly epic when fired through its built-in speakers or streamed or sent to your headphones.

It is also one of the cheaper tablets on this list as well, making it an ideal choice for those after value for money. This is a more of a traditional tablet compared to the likes of the iPad Pro or Surface Pro 4. But for those that want a large screen media and browsing experience, it simply cannot be beaten.

Even more so when Google REFUSES to update its Nexus 7 slate.

iPad Pro 9.7

Overall, however, the best tablet on the market has to be the 9.7in iPad Pro. It’s the perfect size for lots of people (let’s face it: the larger iPad Pro is just too big for most). It’s beautiful 1536 x 2048 display is accompanied by a A9X processor with 2GB of RAM and it comes in 32GB, 128GB, or a massive 256GB option. Oh, and add in that Apple Pencil and keyboard support and this is once of the best tablets ever made.

Source: knowyourmobile.com

 

Why Mobile Won’t Kill Desktop Ecommerce?

When it comes to ecommerce, mobile is picking up steam. A recent survey, conducted by the National Retail Federation, found that nearly 57 percent of online shopping traffic during this year’s Black Friday season came from mobile phones. Meanwhile Walmart reported sales from mobile phones nearly doubled from 2014 to 2015.

While the debate over whether online shopping will kill brick-and-mortar stores has been around for a long time, do these latest statistics indicate that desktop ecommerce is itself in danger of becoming obsolete?

Not necessarily, according to Andy Wong, a partner at Kurt Salmon Digital. He says that while traffic from mobile phones to ecommerce sites is growing rapidly, it doesn’t necessarily translate into actual sales. Many of his clients see nearly 70 percent of their email opens happening over mobile. But in terms of actual conversions, mobile is growing pretty slowly.

On mobile, one of the biggest obstacles online retailers face is the checkout process, says Andrew Mavraganis, the co-owner of StoreYourBoard.com, an ecommerce site in the action sports space.

“It often takes too long and is too cumbersome for consumers to fill out their payment information and shipping address on a mobile phone,” he says. “For sites like ours, where customers aren’t necessarily repeat customers with accounts and saved information, this can be a big deterrent to mobile ecommerce.”

This presents an opportunity for horizontal retailers like Amazon that have a large percentage of repeat customers. Because they are able to access saved billing information, these retailers can make the checkout process more seamless on mobile and thus benefit from the surge in mobile ecommerce traffic. Andrew believes one of the larger players in the technology space such as Apple or Amazon will launch a service like Apple Pay for mobile commerce to streamline the checkout process on mobile, which can lead to higher conversions.

But when all is said and done, while mobile phones will play an increasingly crucial role in the purchasing process, they need not replace the desktop and laptop. Even if most customers never start making purchases on mobile, they will still use their smartphones to read promotional emails, visit websites, engaging on social media and read reviews.

As a savvy marketer, it important to focus on an omni-channel retail strategy instead of picking one platform over another. The buyer is technology agnostic, and so retailers should focus on creating a seamless purchasing experience over multiple platforms.

 Entrepreneur