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Tap Into the Mobile Payments Revolution

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Tap Into the Mobile Payments Revolution

The trends and contenders that are shaping mobile payments.

Thanks to Purefunds Mobile Payments ETF (IPAY) for helping us put this together.

Yesterday, user-friendly payment processor Stripe announced a strategic investment and partnership from Visa that values the company at $5 billion. Other investors that participated are not unknowns either: Kleiner Perkins Caufield Byers, American Express, and Sequoia. It was only in December that Stripe was valued at $3.5 billion and in their previous financing, they were valued at just half of that. Stripe will use Visa’s international connections to help it expand beyond the 20 countries it currently services.

This type of story is not unusual in the payment space. Companies are scrambling to scale or adopt new technologies that integrate mobile and electronic features to make it easier, cheaper, and faster for customers to pay. The reason for this is that the payments ecosystem has always been more cumbersome and more expensive than it should be. In the United States alone, retail merchants that accept card-based payments were charged about $67 billion in fees. Add the rest of the world to that pie, and it makes it clear that the payments space is as ripe for disruption as any other.

Mobile and electronic payments allow customers to pay for goods with a tap of a phone or the press of a button. Two of every three Americans have a smartphone, and mobile payments can typically happen faster with less fees. The earliest adopters of mobile payments have a younger and affluent profile: they average just over 30 years old, have a higher annual income, and spend over 2x more on retail than unwilling non-users of mobile payments.

Big Data and the Developing World

One of the most attractive benefits of mobile payments is the integration of big data and predictive analytics. Retailers will have the capability to link purchases directly with location (GPS), consumer behaviour, purchase history, demographics, and social influence. Analyzing this information will allow companies to reach out to consumers with tailored offerings, loyalty programs, and rewards. Customers will be able to take action right from their mobile device.

The opportunities in payments are not just limited to in the United States or even the developed world. Perhaps one of the most interesting opportunities for the mobile payments space is in Africa, where bank penetration is extremely low at only about 25% and mobile phone penetration is higher at 60%. Kenya is a good example of a market where digitization has reached a large portion of the population, giving mobile payments an 86% household penetration.

Mckinsey did an analysis looking at the size of revenue pools for mobile payments if each market in Africa had the same penetration as Kenya, and it sees the pools more than doubling in places like Ethiopia and Nigeria. With the population in sub-Saharan Africa expected to balloon from 926 million to 2.2 billion by 2050, their appears to be even greater opportunity.

Tapping In

The earliest potential in the mobile and electronic payments market appears to be in areas such as micropayments, incidental payments, recurring bills, peer-to-peer money transfers, and cryptocurrency. However, in the long term, the concept can be applied to many different facets of commerce.

Mobile payments may continue to disrupt the big payments market because of several factors including a young and growing userbase, ease of use, faster transactions, cheaper costs, and increased adoption. As Smittipon Srethapramote, who covers the North American payments industry for Morgan Stanley, concludes in a summary on the subject: “Mobile Payments can expand the global revenue pie from $175 billion to $250 billion, including $45 billion in developed markets and $30 billion in emerging markets.”

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Animation: How Tech is Eating the Brand World

Changing consumer expectations have created a harsh environment for traditional brands to operate in—will tech companies make them obsolete?

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How Technology is Eating the Brand World

Building a brand with an imperishable competitive edge can be difficult.

Technology companies however, are redefining what that edge means. By hastily responding to emerging consumer needs and leveraging the power of brand, these companies can continuously create meaningful solutions for real problems with scale.

Today’s animated chart highlights the most valuable brands in 2019 versus 2001, according to the annual “Best Global Brands” ranking by Interbrand. It illustrates the degree to which technology companies have been able to scale into massive brands over a short time frame, supplanting some of the best known companies in the world.

What is Brand Value, and How is it Measured?

Interbrand has created and consistently used a robust formula to measure brand value. Brand value is the Net Present Value (NPV) or the present value of the earnings that a brand is forecasted to generate in the future.

The formula evaluates brands based on their financial forecast, brand role, and brand strength. The full methodology can be found here.

Tech Reigns Supreme

In 2001, the cumulative brand value was $988 billion. Today, that value stands at $2.1 trillion and represents an average CAGR of 4.4%. Over the years, global tech giants have swiftly climbed the ranks, and now represent a significant amount of the total brand value.

In fact, with a combined brand value of almost $700 billion, tech companies account for half of the top 10 most valuable brands in the world. Perhaps unsurprisingly, Apple holds the title for the world’s most valuable brand in 2019—for the seventh year running.

Only 31 brands from the 2001 ranking remain on the Best Global Brands list today, including Disney, Nike, and Gucci. Coca-Cola and Microsoft are the few who have remained in the top 10.

Below is the full list of the world’s most valuable brands:

RankBrandBrand Value ($B)1-Yr Value ChangeIndustry
#1Apple$234B9%Technology
#2Google$168B8%Technology
#3Amazon$125B24%Technology
#4Microsoft$108B17%Technology
#5Coca-Cola$63B-4%Beverages
#6Samsung$61B2%Technology
#7Toyota$56B5%Automotive
#8Mercedes Benz$51B4%Automotive
#9McDonald’s$45B4%Restaurants
#10Disney$44B11%Entertainment
#11BMW$41B1%Automotive
#12IBM$40B-6%Business Services
#13Intel40B-7%Technology
#14Facebook$40B-12%Technology
#15Cisco$35B3%Business Services
#16Nike$32B7%Retail
#17Louis Vuitton$32B14%Retail
#18Oracle$26B1%Business Services
#19General Electric$25B22%Diversified
#20SAP$25B10%Business Services
#21Honda$24B3%Automotive
#22Chanel$22B11%Retail
#23American Express$22B13%Technology
#24Pepsi$20B-1%Beverages
#25J.P Morgan$19B8%Finance
#26Ikea$18B5%Retail
#27UPS$18B7%Logistics
#28Hermes$18B9%Retail
#29Zara$17B-3%Retail
#30H&M$16B-3%Retail
#31Accenture$16B14%Business Services
#32Budweiser$16B3%Alcohol
#33Gucci$16B23%Retail
#34Pampers$16B-5%FMCG
#35Ford$14B2%Automotive
#36Hyundai$14B5%Automotive
#37Gillette$14B-18%FMCG
#38Nescafe$14B4%Beverages
#39Adobe$13B20%Technology
#40Volkswagen$13B6%Automotive
#41Citi$13B10%Financial Services
#42Audi$13B4%Automotive
#43Allianz$12B12%Insurance
#44ebay$12B-8%
#45Adidas$12B11%Fashion
#46Axa$12B6%Insurance
#47HSBC$12B5%Finance
#48Starbucks$12B23%Restaurants
#49Philips$12B-4%Electronics
#50Porsche$12B9%Automotive
#51L’oreal$11B4%FMCG
#52Nissan$11B-6%Automotive
#53Goldman Sachs$11B-4%Finance
#54Hewlett Packard$11B4%Technology
#55Visa$11B19%Technology
#56Sony$10B13%Technology
#57Kelloggs$10B-2%FMCG
#58Siemens$10B1%Technology
#59Danone$10B4%FMCG
#60Nestle$9B7%Beverages
#61Canon$9B-9%Technology
#62Mastercard$9B25%Technology
#63Dell Technologies$9BNewTechnology
#643M$9B-1%Technology
#65Netflix$9B10%Entertainment
#66Colgate$9B2%FMCG
#67Santander$8B13%Finance
#68Cartier$8B7%Luxury
#69Morgan Stanley$8B-7%Finance
#70Salesforce$8B24%Technology
#71Hewlett Packard Enterprise$8B-3%Technology
#72PayPal$8B15%Technology
#73FedEx$7B2%Logistics
#74Huawei$7B-9%Technology
#75Lego$7B5%FMCG
#76Caterpillar$7B19%Diversified
#77Ferrari$6B12%Automotive
#78Kia$6B-7%Automotive
#79Corona$6B15%Alcohol
#80Jack Daniels$6B13%Alcohol
#81Panasonic$6B-2%Technology
#82Dior$6B16%Fashion
#83DHL$6B2%Logistics
#84John Deere$6B9%Diversified
#85Land Rover$6B-6%Automotive
#86Johnson & Johnson$6B-8%Retail
#87Uber$6BNewTechnology
#88Heineken$5,6264%Alcohol
#89Nintendo$6B18%Entertainment
#90MINI$5B5%Automotive
#91Discovery$5B-4%Entertainment
#92Spotify$5B7%Technology
#93KFC$5B1%Restaurants
#94Tiffany & Co$5B-5%Fashion
#95Hennessy$5B12%Alcohol
#96Burberry$5B4%Fashion
#97Shell$5B-3%Energy
#98LinkedIn$5BNewTechnology
#99Harley Davidson$5B-7%Automotive
#100Prada$5B-1%Fashion

Since 2001—the first year the report featured 100 brands—several tech companies have joined and climbed their way to the top of the list, while 137 notable brands dropped off entirely, including Nokia and MTV.

In an interesting turn of events, Facebook dropped out of the top 10, and into 14th place after a volatile year. The move however, is not surprising. The tech giant has been mired in controversies, ranging from data privacy issues to prioritizing political influence.

Which Brands Are Growing the Fastest?

2019’s fastest growing brands also signals tech domination, with Mastercard, Salesforce and Amazon leading the charge.

The companies in this ranking experienced a significant increase in their brand value year-over-year (YoY).

RankBrandBrand Value ($B)YoY Growth
#1Mastercard$9B25%
#2Salesforce$8B24%
#3Amazon$125B24%
#4Gucci$16B23%
#5Starbucks$12B23%
#6Adobe$13B20%
#7Visa$11B19%
#8Caterpillar$7B19%
#9Nintendo$5B18%
#10Microsoft$109B17%

According to Interbrand, the success of these brands may be attributed to their ability to anticipate rapidly changing customer expectations.

While the relationship between business performance and brand equity has been a widely debated topic for decades, it is clear that customer satisfaction bolsters brand equity, and encourages impressive financial results.

Disrupt, or Be Disrupted

Beyond anticipating changing needs, some of the most successful brands also cater to a younger customer base. This is the most evident in luxury and retail—the two fastest growing sectors for the second consecutive year.

This audience is tech-first in their buying habits and increasingly demand more elevated and shareable experiences. As a result, traditional brands across all sectors are innovating to keep up with this audience, and some are essentially becoming tech companies in the process.

For example, Gucci attributes their success to finding the perfect blend between creativity and technology. The company that once relied on its heritage, now focuses heavily on ecommerce and social media to engage with their Gen Z customers.

Similarly, Walmart recently announced that they are employing virtual reality headsets and machine-learning-powered robots in an attempt to compete with Amazon.

Will traditional companies ultimately become tech companies, or simply get eaten alive?

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A Visual Timeline of AI Predictions in Sci-Fi

AI is shaping the global economy in unprecedented ways, and transforming life as we know it—but science fiction has predicted this all along.

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They say you shouldn’t believe everything you see on the big screen.

However, in the case of science fiction, the human imagination has gotten a few things right—especially when it comes to futuristic forecasts. Today, the artificial intelligence (AI) revolution is transforming everything, but it turns out we had a hunch about it all along.

When AI Comes to Life

Today’s infographic from Noodle.ai takes a look at how some movie and television predictions for AI’s capabilities have taken hold in the real world.

AI Predictions in Science Fiction

Many early “predictions” about future technologies certainly missed the mark—but it seems science fiction was able to accurately forecast a thing or two about AI.

AI Basics: Making Life Better

Artificial intelligence is all about equipping machines with the ability to mimic human decision-making processes. It has a wide range of applications, from basic automation to advanced machine learning models.

AI has proliferated into virtually every aspect of life, and in the graphic, it’s clear that several sci-fi-turned-real inventions are aimed at making things more convenient for us humans.

Sci Fi PredictionAI in Reality
1962: The Jetsons cartoon shows video calls on a tv screen, and a robot maid.2002: iRobot Roomba is the first robotic vacuum.
2018: Facebook Portal is a video-calling smart display.
2019: Moley robotic kitchen is able to prep meals from scratch and clean up afterwards.
1966: Star Trek inspired several tech innovations that have become commonplace.Examples include: Bluetooth headsets, voice assistants, cellphones, and automatic sliding doors.
1989: Back to the Future features smart glasses for television and phone calls, and a smart watch which can precisely predict weather.2012: The Dark Sky app provides custom alerts on the weather to the minute.
2013: Google Glass is able to make calls, send texts, display photos, and provide directions.
2015: Apple Watch comes enabled with WiFi, Bluetooth, a GPS, and even a heart sensor.
1999: Smart House showcases a fully automated house that is able to respond to verbal requests, cook and clean, and control thermostat settings.2019: A HGTV contest lets people win a WiFi connected smart house, complete with voice-enabled thermostat and security systems.

Of course, these have had varying degrees of success. While Google Glass didn’t initially resonate with the wider public, the augmented reality smart glasses have now proved useful in businesses such as manufacturing.

Elsewhere, sci-fi-inspired advances in industries like healthtech are providing a new lease of life for many patients—and continuously reinventing the frontier of what we think is possible.

Sci-Fi Helps Us Push Boundaries

One monumental event in AI history occurred in 1997, when IBM’s Deep Blue beat a chess master at his own game. This event shook the world when we realized what AI could truly be capable of—even though sci-fi had in fact anticipated it 20 years prior.

But as the graphic shows, not all is rosy in science fiction’s likeness of AI. It’s often depicted as something to fear, and certain predictions have proved to be eerily accurate.

Sci Fi PredictionAI in Reality
1977: K9, a robotic dog in Doctor Who, beats its master at a chess game.1997: IBM’s Deep Blue computer beats a Russian chess master, Garry Kasparov.
1984: Skynet from Terminator, a self-aware AI program, attempts to extinguish humanity.2019: The U.S. Army creates an autonomous system to “acquire, identify, and target threats” (ATLAS AI).
2011: AI monitors surveillance cameras and predicts future criminals in Person of Interest.2018: The National Data Analytics Solution (NDAS)

While not all of these are causes for alarm, they clearly demonstrate that sci-fi has the capacity to influence the breakthrough technology we could end up seeing a few years down the line. However, turning reel to real can raise some curious dilemmas.

Rights for Robots?

Last year, the European Parliament debated an interesting question: do robots qualify as people?

The resolution considered granting “personhood” to sophisticated, autonomous robots. However, over 150 AI experts strongly warned against this proposal, arguing it would “blur the relation between man and machine” in a way that is too unethical.

Nevertheless, this thought experiment proves that artificial intelligence is matching our wildest imagined predictions for it.

AI is whatever hasn’t been done yet.

—Tesler’s Theorem

As we move ever closer towards a world where AI is inextricably linked with the everyday, how else could science fiction shape our expectations of the future?

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