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Showing posts with label artificial-intelligence (AI). Show all posts
Showing posts with label artificial-intelligence (AI). Show all posts

Monday, April 8, 2019

Penang, a hub for 5G RF chip production

Significant role: Mini-Circuits’ manufacturing facility in Penang is expected to contribute about 10% of the group’s 5G RF chips production over the next few years.

PENANG is one of a handful of manufacturing sites in Asia with a 5G (fifth-generation mobile networks) radio frequency (RF) chip production facility. And the state has become an important production site for Mini-Circuits Technologies (Malaysia), a subsidiary of New York-based Scientific Component.

It is now producing one million 5G RF chips a month for use in 5G telecommunication base stations worldwide.

“We started 5G RF chip production in 2018.

“The plan is to increase the output to between 40 million and 50 million units in three years, depending on how fast telcos worldwide are able to implement 5G base stations,” says Datuk Seri Kelvin Kiew, president and chief executive officer of Mini-Circuits.

In Penang, Mini-Circuits produces 5G mmWave and sub-6 GHZ chips.

What is the fuss over 5G?

“In layman’s terms, 5G, the successor to 4G, is 100 times faster than 4G, with speeds that reach 10 gigabits per second.

“This would let consumers download a full-length high-definition movie in seconds.

“5G will have enhanced bandwidth, allowing it to accommodate the ‘Internet of Things’ (IoT) such as smart refrigerators to traffic lights to dog collars, enabling them to transmit and receive data.

Faster speed: The 5G technology will benefit both businesses and consumers, says Kiew.

“The potential benefits to 5G are vast for both businesses and consumers – for the former, the additional capacity and speed should allow for greater mobile working whilst for consumers, the speed should offer additional benefits within the ability of your smartphone. 5G is also crucial to the full implementation of AI (artificial intelligence) worldwide.

“For example, a business using a 5G network would mean employees can video conference from any location whilst for consumers, 5G could allow you to download a film to your smartphone in under a second,” Kiew says.

Penang is an important manufacturing site for Mini-Circuits, contributing about 10% of the 5G RF chips – valued at about US$350mil – to be shipped out by the group over the next few years.

“The value of the 5G RF chips shipped out from Penang is estimated to be about US$80mil for 2019, of which, about half of the amount is for the China market,” he says.

In the initial phase, the sub-6 GHZ application will dominate production, as it provides reasonable bandwidth speed and wider coverage.

“In the subsequent phase, the mmWave will be used in areas where there is a need for multi-gigabit communication services.

“The objective with mmWave is to increase the data bandwidth available over smaller, densely populated areas.

“It will be a key part of 5G in many cities, powering data in sports stadiums, malls, and convention centres, as well as basically anywhere that data congestion might be a problem.

“Out in rural towns and villages, sub-6 GHz and low bands below 2 GHz will probably play a more crucial role in ensuring consistent coverage,” Kiew says.

A problem with mmWave is that the signal cannot penetrate walls.

“However, the mmWave will leverage the support from 5G base stations to bounce around until a decent signal is transmitted.

“When it rains, the signal will be impacted.

“Our manufacturing site worldwide, including Penang, will work on improving both the mmWave and sub-6 GHZ band RF modules to overcome the limitations,” he adds.

According to Global System for Mobile Communications (GSMA) forecast, by 2025, there will be 1.2 billion 5G connections worldwide, with 5G networks covering almost 40% of the global population.

Asia Pacific will account for more than half of these, or 675 million 5G connections, by 2025. But when will 5G become a reality?

“The first 5G compatible phones will become available in the middle of this year, but consumers will not initially notice vastly faster speeds because 5G coverage will be limited to certain cities or neighbourhoods at first.

“Analysts predict it will be at least a couple of years before the network’s reach will be extensive enough to let you use your 5G phone without relying on current wireless standards most of the time,” he says.

“We had a record year in 2018 shipping over US$400mil worth of RF products that includes filters, power splitters, and amplifiers.

“Growth in 2019 will be between 5% and 10%, impacted by the trade war and the overall slow down in the handheld products. “Our Malaysia facility is expected to ship US$150mil worth of RF products in 2019,” Kiew concludes.

By David Tan The Star

Related:



AI to nearly double the rate of innovation in 2021 | Focus Malaysia

 




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Penang, a hub for 5G RF chip production

Significant role: Mini-Circuits’ manufacturing facility in Penang is expected to contribute about 10% of the group’s 5G RF chips production over the next few years.

PENANG is one of a handful of manufacturing sites in Asia with a 5G (fifth-generation mobile networks) radio frequency (RF) chip production facility. And the state has become an important production site for Mini-Circuits Technologies (Malaysia), a subsidiary of New York-based Scientific Component.

It is now producing one million 5G RF chips a month for use in 5G telecommunication base stations worldwide.

“We started 5G RF chip production in 2018.

“The plan is to increase the output to between 40 million and 50 million units in three years, depending on how fast telcos worldwide are able to implement 5G base stations,” says Datuk Seri Kelvin Kiew, president and chief executive officer of Mini-Circuits.

In Penang, Mini-Circuits produces 5G mmWave and sub-6 GHZ chips.

What is the fuss over 5G?

“In layman’s terms, 5G, the successor to 4G, is 100 times faster than 4G, with speeds that reach 10 gigabits per second.

“This would let consumers download a full-length high-definition movie in seconds.

“5G will have enhanced bandwidth, allowing it to accommodate the ‘Internet of Things’ (IoT) such as smart refrigerators to traffic lights to dog collars, enabling them to transmit and receive data.

Faster speed: The 5G technology will benefit both businesses and consumers, says Kiew.

“The potential benefits to 5G are vast for both businesses and consumers – for the former, the additional capacity and speed should allow for greater mobile working whilst for consumers, the speed should offer additional benefits within the ability of your smartphone. 5G is also crucial to the full implementation of AI (artificial intelligence) worldwide.

“For example, a business using a 5G network would mean employees can video conference from any location whilst for consumers, 5G could allow you to download a film to your smartphone in under a second,” Kiew says.

Penang is an important manufacturing site for Mini-Circuits, contributing about 10% of the 5G RF chips – valued at about US$350mil – to be shipped out by the group over the next few years.

“The value of the 5G RF chips shipped out from Penang is estimated to be about US$80mil for 2019, of which, about half of the amount is for the China market,” he says.

In the initial phase, the sub-6 GHZ application will dominate production, as it provides reasonable bandwidth speed and wider coverage.

“In the subsequent phase, the mmWave will be used in areas where there is a need for multi-gigabit communication services.

“The objective with mmWave is to increase the data bandwidth available over smaller, densely populated areas.

“It will be a key part of 5G in many cities, powering data in sports stadiums, malls, and convention centres, as well as basically anywhere that data congestion might be a problem.

“Out in rural towns and villages, sub-6 GHz and low bands below 2 GHz will probably play a more crucial role in ensuring consistent coverage,” Kiew says.

A problem with mmWave is that the signal cannot penetrate walls.

“However, the mmWave will leverage the support from 5G base stations to bounce around until a decent signal is transmitted.

“When it rains, the signal will be impacted.

“Our manufacturing site worldwide, including Penang, will work on improving both the mmWave and sub-6 GHZ band RF modules to overcome the limitations,” he adds.

According to Global System for Mobile Communications (GSMA) forecast, by 2025, there will be 1.2 billion 5G connections worldwide, with 5G networks covering almost 40% of the global population.

Asia Pacific will account for more than half of these, or 675 million 5G connections, by 2025. But when will 5G become a reality?

“The first 5G compatible phones will become available in the middle of this year, but consumers will not initially notice vastly faster speeds because 5G coverage will be limited to certain cities or neighbourhoods at first.

“Analysts predict it will be at least a couple of years before the network’s reach will be extensive enough to let you use your 5G phone without relying on current wireless standards most of the time,” he says.

“We had a record year in 2018 shipping over US$400mil worth of RF products that includes filters, power splitters, and amplifiers.

“Growth in 2019 will be between 5% and 10%, impacted by the trade war and the overall slow down in the handheld products. “Our Malaysia facility is expected to ship US$150mil worth of RF products in 2019,” Kiew concludes.

By David Tan The Star

Related:



AI to nearly double the rate of innovation in 2021 | Focus Malaysia

 




Related posts:

Monday, February 11, 2019

China's new tech soft power

Foreigners are tapping Chinese innovation to network and build businesses

International market: Foreign visitors to an expo in Nanning, the Guangxi Zhuang autonomous region, evince interest in forestry by-products and pay for them using WeChat Pay. [Photo by Peng Huan / for China Daily]

China's innovations impress foreigners, change startup game, boost confidence

The consumption power of more than 1 million foreigners working or studying in China is disproportionately bigger than their tiny share (0.07 percent) of the total population - and whizzes of the country's homegrown tech ecosystem are sitting up and taking notice, as the economy transitions from export and investment-led growth to a consumption-driven model.

Manufacturers of gadgets, providers of technology-enabled services, and developers of intellectual property like innovative technologies are all vying to make life easier for the relatively small but monetarily significant foreigner community in China.

French engineer Sebastien Bernard, 37, will probably agree. He came to work and live in Beijing four months ago. The first thing he was asked to do by his friends and colleagues was to download and install WeChat, the all-in-one killer app, on his smartphone.

He complied, and his life is much the better for it, he said. As it transpired, Bernard was e-invited to join a WeChat group.

Initially, 15 foreigners chatted with each other and shared their life experiences on the e-group. Gradually, the group grew to a 200-member community of sorts that shared not just useful information like job links or party invitations but, wait for it, e-commerce discount coupons and weekend getaway packages.

Friendly advice sensitized Bernard to other treasures on WeChat. Among many other things, he learned to use the app to order food, book a taxi ride, buy movie tickets, and make digital payments for e-commerce.

Using Chinese apps, some of his friends even play online games, and borrow or lend money using e-credit channels that are redefining inclusive finance.

According to a WeChat report, by May 2017, foreigners in China sent 60 percent more WeChat messages than Chinese users on average per month. They also use WeChat audio calls 42 percent more than Chinese users.

Notably, foreigners in China are good at using different functions or features of WeChat. On average, they use emojis 45 percent more than Chinese users per day. Typically, a foreigner sends 10"red packets" - cash e-gifts - per month. Nearly 65 percent of foreigners who use WeChat use the app's digital payment tool WeChat Pay.

"Here in China, having WeChat and Alipay accounts is like being plugged into the world. The apps include almost every conceivable service that can help make modern life easy," said Bernard.

Agreed Yang Qiguang, 26, a researcher from Columbia University's Tow Center who is pursuing PhD at the Renmin University of China in Beijing.  

"Chinese companies are creating a tech ecosystem that helps everyone, including foreigners, to work and live in a more convenient way."

Forming social networks using e-tools has become integral to modern life, particularly in urban areas - and China's tech ecosystem perhaps performs this function better than any other, by bundling consumption-related conveniences, he said.


"The tech ecosystem here facilitates people, including foreigners, to spend more. It is also boosting the confidence of both domestic and foreign companies operating in China. They know they now have powerful and reliable e-tools like apps to drive sales in a humongous market with more than 1 billion consumers," he said.

That's not all. Yang said China's tech ecosystem is fostering entrepreneurialism. Even foreigners living in China are beginning to use Chinese apps to start up in a variety of fields, including technology, education and entertainment. All this business activity is a long-term positive effect for the Chinese economy, he said.

Yang could well have been speaking about David Collier, 52, a Briton who has founded four startups so far, respectively in the United States, the United Kingdom and China.

Rikai Labs, his WeChat-based e-learning business in China, helps Chinese users to master the English language through proprietary automated software. Collier said every seven years, a big platform shift comes along - from web to mobile apps; from apps to messaging platforms - that creates huge opportunities.

"We chose to base our business on WeChat because it provides a great platform for a knowledge service. You have to build your business where people are spending their time, and the biggest messaging platform of all is WeChat," he said.

"Also, we can use WeChat payment for instant payment, QR codes for marketing purposes and to track user acquisition channels. Now with WeChat's mini programs, we can add interactive games and other features."

There's more. Links to Rikai Labs and related content can be shared socially online. "It provides a very compelling platform with real-time features, social distribution, marketing hooks and monetization," Collier said.

But risks abound too, he said. Platforms such as WeChat have become extremely competitive for startups. "If you don't move at high speed, riding with WeChat is like taking the maglev."

Data, however, suggest that foreigners appear to have an edge over Chinese users in exploiting the local tech ecosystem for small businesses and online social networking, which actually helps businesses directly or indirectly.

A case in point is Baopals, a startup founded by three expatriates. Call it the English Taobao, if you will. Baopals is anchored in Taobao and Tmall, the online shopping platforms owned by Alibaba Group, China's tech giant.

Foreign visitors to an expo in Nanning, the Guangxi Zhuang autonomous region, evince interest in forestry by-products and pay for them using WeChat Pay. [Photo by Peng Huan / for China Daily]

In July 2015, Charlie Erickson, Jay Thornhill and Tyler McNew, all US citizens in their late 20s and early 30s, developed Baopals, a website that helps translate product information on the Chinese Taobao and Tmall into English. In one stroke, the trio thus opened up the astonishing world of Chinese e-commerce, or 800 million products, to non-Chinese consumers in China.

Baopals already boasts 40,000 registered users, with 16,000 of them joining last year alone, doubling the user count in 2017. A Baopals user buys 58 items on average per year, and spends about 2,500 yuan ($368) to 3,500 yuan annually.

In addition to English, the website has Korean and Russian versions, making e-shopping simpler for foreigners in China.

The website is going from strength to strength on the back of the trio's innovations. It has introduced attractive sections like "The Cool, The Cheap& The Crazy". It accepts Alipay, WeChat Wallet and China UnionPay for payments.

Although e-commerce destinations are dime a dozen in China, most of them are in Chinese, and cater to Chinese consumers, so Baopals stands out, said Thornhill.

"Even on Amazon China, the default language is Chinese. When you switch to English, you still see lots of content in Chinese. They just haven't made the effort to serve China's expat population properly," he said.

That gap should spell business opportunities for those looking to start up, he said. "We are also changing the stereotype that Chinese goods are cheap products with low quality," he said, adding that several products including Xiaomi air purifiers and Huawei products are very popular among foreigners.

According to Thornhill, Baopals' revenue comes from service fee paid by shoppers. It charges a service fee of 5 percent of each item's price, plus a small fixed fee based on the item's price - 2 yuan for items priced below 30 yuan, and 8 yuan for items priced above 90 yuan. More than 2.3 million products had been sold by Jan 17 this year, a huge increase from the same period last year.

Given the experience in China, it is clear that homegrown technologies can succeed outside the mainland, he said. "This year is going to be a big year for Baopals, as we'll be launching our global service. Expats leaving China can continue buying things they love here, and foreigners everywhere can discover the treasures of China's online shopping."

Agreed Yang from the Tow Center. China's tech ecosystem, he said, provides foreigners on the mainland with well-rounded platforms to do business not only in China but across the world.

"It may take years for foreigners to build such infrastructure themselves. The time and energy saved during the process can be used for bolstering their own products and business."

It's not just small players such as Baopals that are drawing confidence from their success in China. Even e-payment giants such as WeChat Pay and Alipay, emboldened by their rapid adoption among foreigners in China, are confident of replicating their success worldwide.

Alipay has introduced its payment services, including departure tax refunds, at 10 major international airports in Japan, Thailand and New Zealand. Although the initial goal is to serve Chinese tourists traveling overseas, the larger plan is to roll out Chinese technologies worldwide and gain a global visibility and footprint.

So, it has struck cooperation agreements with local banks and companies in foreign markets, to provide e-payment services. For instance, its partners in Japan are Hida Credit Union and Kyoto Shinkin Bank, which helps attract Japanese users as well. Using such strategies, Alipay has accumulated more than 1 billion users in all, including 300 million outside China.

Sources:  China Daily/Asian News Network

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Don’t blame China for global economic jitters; China contributed >25% global growth

 

  China battles US for AI and robotic space: Who’s ahead?

 

G20 summit recognizes China's success, a historic starting point for the world, expert said

Saturday, October 6, 2018

China battles US for AI and robotic space: Who’s ahead?

Robot dominates: Ford F150 trucks go through robots on the assembly line at the Ford Dearborn Truck Plant in Dearborn, Michigan. Robots are also entering areas such as logistics warehousing, chemicals and plastics factories and F&B industries. — AFP
Humans vs. Robots


NO doubt, the FAANGs – Facebook, Apple, Amazon, Netflix and Google – are making the world a better place.

Still, they are being accused of being BAADD – big, anti-competitive, addictive and destructive to democracy.

Regulators fine them, politicians take them to task, and even their backers warn of their power to cause harm. Much of the techlash is undeserved. There’s fake news everywhere.

Nevertheless, there is justified fear that the tech titans will use their power to protect and extend their dominance, often to the detriment of consumers. Indeed, the big tech platforms do raise worries about fair competition in particular.

In Singapore, the merger of Grab and Uber brings on legitimate concerns in the taxi space. The tricky task for regulators is how to restrain them without unduly stifling innovation.

Today, trust busters have granted tech giants the benefit of the doubt in the fight for artificial intelligence (AI) and robotic space. At some point, who takes the moral and legal responsibility for their mechanical creations?

Like it or not, AI-enabled bots and machines are already here, in the form of drones, driverless cars and medical, educational and domestic robots. To muddle the picture still further, AI is now embodied in physical, sometimes humanoid, form in machines designed to engage directly with people.

Talk is rife about the outright banning of killer robots, which cross the moral red line (only humans are permitted to kill humans!). Already, there is a proposal to create a Robotics Commission in US and Europe to be responsible for moral and legal issues surrounding the use of robotics and AI enabled smart machines. High time too.

Robots and cobots

Armies of robots and collaborative robots (cobots) are spreading throughout factories and warehouses around the world, as the accelerating pace of automation transforms a widening range of industries.

And it is not just in advanced countries but in emerging economies as well where machines are a growing force, with global sales of industrial robots increasing by 18% to a record US$13.1bil in 2016.

These groups are benefiting from mounting demand for sophisticated machines that no longer just weld car bodies and lift heavy loads, but also perform complex functions from electronic component production to arranging chocolates neatly into boxes.

Another trend is the increasing range and type of robot, as they vary from flexible mechanical limbs to smart machines that can work alongside humans. Cobots are specifically designed to interact with people.

The robotics market has been growing strongly and will continue to grow. The spread of robots has piqued the debate over the suitability of humans versus robots as workers, with warning that more machines will take jobs. Consultants McKinsey found that about 30% of tasks in 60% of occupations could be automated.

Advanced automation is partly a response to a shortage of skilled manual labour, with robots often filling “dull, dirty, dangerous and delicate” roles that people simply do not want. Also, the falling cost of robotics systems, and breakthroughs in robotics technology – combining with the rising level of electronic communication between equipment and computers in factories, sometimes called the industrial Internet of Things.

Then there is the shift in some industries from producing a small variety of goods in large batches, to a greater mix of products in smaller batches. All these are basically driven by consumers. Although the largest user remains the car industry (mainly for welding and painting), the main driver of growth is the electronics and electrical sector, chiefly located in Asia and mainly for batteries, chips and display.

But robots are also entering other areas, such as logistics warehouses, chemicals and plastics factories and the food and beverage industries. In total, almost 300,000 units were sold worldwide last year, with three-quarters bound for just five countries: China, South Korea, Japan, US and Germany. Three in every 10 went to China alone.

Once the manual labour “workshop of the world”, it has been the largest buyer of industrial robots since 2013, and its purchases jumped by 27% in 2017. There were increased investments in many developing countries as well, such as Taiwan, Thailand, India and Mexico, as well as in Italy and France.

While there have been improvements in hardware capabilities, such as hydraulics and mobility, perhaps the most important developments are in sensors and software that are making robots more sensitive, flexible, precise and autonomous. The software side of industrial robotics is becoming more and more important.

However, despite the growth, robots still have many limitations when it comes to dexterity, judgment and the ability to improvise. Today, machines are beginning to learn new tasks from humans by imitation. This has opened up big possibilities, especially for cobots, which are smaller, lighter, more flexible and mobile. And, even more critically cheaper, making it more affordable for small and medium-sized enterprises to invest. While usually slower, they have greater adaptability, because they can be assigned to different tasks.

US dominance

True, US roads, airports, seaports and schools are on the slide. But US retains dominance in the most sophisticated fields – defence, elite universities and technology. Sure, US ceded the top spot to China in exports in 2007, in manufacturing in 2011, and absolute GDP by 2030. But Silicon Valley is still where the best ideas, smartest money and the most savvy entrepreneurs reside.

But China is catching up fast: its BAT (Baidu, Alibaba and Tencent) are in the same league as the FAANGs and new stars are coming on fast (Didi Chuxing, Ant Financial and Lufax). China’s e-commerce sales are 2x US’ and China remits 11x more money by mobile phones than US (still scribbling cheques). China plans to lead globally in AI by 2030.

Its VC industry is booming – the entrepreneurial work-ethic in Beijing, Hangzhou and Shenzhen are a sight for sore eyes. Despite the huge progress, China remains far behind. Studies show that China’s tech industry is only about 42% as powerful as US (only 15% in 2012).

But Chinese tech has weak spots: (i) its total market value is only 32% of US; (ii) has two to three huge companies and lots of small ones; (iii) China is puny in semiconductors and business-facing software; (iv) its tech products has not as yet permeated the industrial economy; (v) Chinese non-techs are primitive – only 2.6% as digitalised as US; (vi) Chinese tech investment budget is only 30% as big as US, with foreign sales 18% of what US makes.

However, the gap narrows in the more dynamic parts of tech industry: (a) in e-commerce and internet, Chinese firms are 53% the size of US (in market value); (b) China’s unicorns are now worth 69% of US; (c) its VC activity, 85% of US in 2016; and (d) in “breakthrough” AI innovations, China’s population of AI experts is only 6% the size of US – with their best minds still working in large US techs; while cited AI papers by Chinese scientists are at 89% of US.

At the present pace, China will need a further 10-15 years to catch up. Viewed from China, US giant techs remain as “comfy monopolists”, while Chinese techs are plain “hungry”. Beijing’s blueprint: to create a US$150bil AI-industry by 2030 underlines its desire to beat US.

China’s advantage: sheer numbers of people, data, talent and superior lines of codes being written! At 730 million, China’s online population alone is more than 2x US size, and more tech-savvy. While US faces cut-backs in research money, China is committing ample money and also political capital into its relentless drive to reign supreme in AI.

However, the quality of fundamental research in China remains a problem. It lags behind EU in terms of the number of AI papers in the top 5% of most cited.

Where’s EU?

Few in US and China seriously regard Europe becoming a force in machine learning – the area AI has made the most progress in recent years. The process involves feeding reams of data through algorithms as AI learns to interpret other data.

Europe simply lacks scale; unlike US and China where tech giants have a surfeit of the most vital resource for AI – data; also attracted the best talent & boost the biggest computer clouds. Here, Europe is way behind.

Since US and China have centralised data systems (controlled by very few large firms), Europe can create a more decentralised option. China is expected to hold 30% of world data by 2030; US with just as much. Europe has data too, but needs to pool its diversified resources in research and data. But, Europe has institutional inertia, with much of its funding centered in academic institutions – not the best place for it. To be relevant, Europe has to do much more. Still, no match for US and China.

Silicon Valley: where next?

The stretch of land in the US Bay Area running from San Jose to San Francisco is home to three (Apple, Facebook, Google) of the world’s five most valuable tech giants. All claim Silicon Valley (SV) as their birthplace and home, as do trailblazers such as Airbnb, Tesla and Uber.

The Bay Area has the 19th largest economy in the world, ranking above Switzerland and Saudi Arabia. SV has become a byword for innovation and ingenuity. It has also been at the centre of several cycles of Schumpeterian destruction and regeneration, in silicon chips, personal computers, software and internet services. Its combination of engineering expertise, thriving business networks, deep pools of capital, strong universities and a risk-taking culture have made SV almost impossible to clone.

There is no credible rival for its position as the world’s pre-eminent innovation hub. But there are signs that SV’s influence is peaking. Yes, something is changing. According to a recent survey, 46% of residents surveyed plans to leave the Bay Area in the next few years, up from 34% in 2016. So, many startups are branching out: “Off Silicon Valleying.”

In 2013, SV investors put half their money into startups outside the Bay Area; now it is closer to two-thirds. Reasons: SV has just become too expensive; among the world’s costliest. Young startups pay at least 4x more to operate here. New technologies, from quantum computing to synthetic biology, make lower margins than internet services. There is also the nastier features of Bay-Area life: clogged traffic, discarded syringes and shocking inequality. The Miami-Fort Lauderdale area is now ranked first for startup activity, based on the density of startups and new entrepreneurs.

There are others: Los Angeles (which has a vibrant tech scene), Phoenix and Pittsburgh (have become hubs for autonomous vehicles); New York (for media startups); London (for fintech); Shenzhen (for hardware). None of these places can match the SV on its own; between them, they point to a world in which innovation can be better distributed. The problem is that the wider playing field for innovation is being levelled down, away from the dominant effects of tech giants.

Second, the increasingly unfriendly policies in the West. Rising anti-immigrant sentiment and tighter visa regimes have economy-wide effects: foreign entrepreneurs create around 25% of new companies in America. Unfortunately, SV’s peak looks more like a warning that innovation everywhere is becoming harder. SV is fast becoming more an idea instead of a place. Wall Street went through a similar transformation; its name becoming shorthand for a whole industry.

As tech firms set their sights on disrupting old-fashioned industries, like healthcare and logistics, they may find that it helps to be based in cities that claim deep expertise in these areas – and where garages housing startups are just the stuff of museums and memory.

What then are we to do

The time has come to love robots. Asians do. But not in the West where robots receive terrible press. They worry about robots killing jobs. In Asia, robots are today commonly used in Japan, South Korea, Taiwan and China. ADB’s June 2018 report analysing 12 developing Asian economies in 2005-15 concluded that rising demand had more than compensated for jobs lost to automation. The adoption of new technologies, such as modern machine tools and computer systems in factories and offices, had stimulated higher productivity and economic growth. That transformation, it estimated, had created 124 million new jobs, compared with the 101 million jobs lost to technology.

It is worth noting that there are two types of robots: those that do the work of humans and those that enhance their performance. We hear too much about the first type and too little of the second. Sure, their creations help humans deal with the “3 Ds”: dirty, dull and dangerous tasks. But countries that have the highest adoption of robots also have the lowest unemployment rates. Also, they help address the acute demographic squeeze as societies rapidly age. Some Asian societies prefer robots to immigrants to supplement their shrinking workforces. Robots are increasingly moving out of the factory into homes and hospitals, where they will need new capabilities.

I believe that technologies are always a net job creator over the long run, but, as Keynes put it, in the long run we are all dead. As these technologies make their way into every industry, they will benefit those at the very top with the skills and education to leverage the productivity advantages that AI affords.

Medical specialists, for example, could dramatically increase their income by using AI’s productive analytics to better diagnose and treat patients. But workers doing highly repetitive tasks that can easily be done by machines will not fare so well. This has massive consequences.

A McKinsey report shows that, while digitalisation has the potential to boost productivity and growth, it may also hold back demand if it compresses labour’s share of income and increases inequality. We badly need a kind of digital New Deal. For as many jobs as will be replaced by automation, there are other areas – customer service, big data analysis, etc. – that desperately need talent. Companies that pledge to retain workers and retrain them to develop skills to get stable jobs, should be offered tax incentives to do so. And spend the cash on factory upgrades, technical improvements, and re-training costs.

There are plenty of such projects that workers could be deployed now – including helping to expand rural broadband. It is a way for companies and government to turn a potential difficult employment situation into an opportunity by using this disruption to prepare & train a 21st-century digital workforce, and build public infrastructure to support it.

Credit: What are we to do? by Lin See-yan - Former banker, Harvard educated economist and British Chartered Scientist, Tan Sri Lin See-Yan is the author of The Global Economy in Turbulent Times (Wiley, 2015) & Turbulence in Trying Times (Pearson, 2017).

China battles US for AI and robotic space: Who’s ahead?

Robot dominates: Ford F150 trucks go through robots on the assembly line at the Ford Dearborn Truck Plant in Dearborn, Michigan. Robots are also entering areas such as logistics warehousing, chemicals and plastics factories and F&B industries. — AFP
Humans vs. Robots


NO doubt, the FAANGs – Facebook, Apple, Amazon, Netflix and Google – are making the world a better place.

Still, they are being accused of being BAADD – big, anti-competitive, addictive and destructive to democracy.

Regulators fine them, politicians take them to task, and even their backers warn of their power to cause harm. Much of the techlash is undeserved. There’s fake news everywhere.

Nevertheless, there is justified fear that the tech titans will use their power to protect and extend their dominance, often to the detriment of consumers. Indeed, the big tech platforms do raise worries about fair competition in particular.

In Singapore, the merger of Grab and Uber brings on legitimate concerns in the taxi space. The tricky task for regulators is how to restrain them without unduly stifling innovation.

Today, trust busters have granted tech giants the benefit of the doubt in the fight for artificial intelligence (AI) and robotic space. At some point, who takes the moral and legal responsibility for their mechanical creations?

Like it or not, AI-enabled bots and machines are already here, in the form of drones, driverless cars and medical, educational and domestic robots. To muddle the picture still further, AI is now embodied in physical, sometimes humanoid, form in machines designed to engage directly with people.

Talk is rife about the outright banning of killer robots, which cross the moral red line (only humans are permitted to kill humans!). Already, there is a proposal to create a Robotics Commission in US and Europe to be responsible for moral and legal issues surrounding the use of robotics and AI enabled smart machines. High time too.

Robots and cobots

Armies of robots and collaborative robots (cobots) are spreading throughout factories and warehouses around the world, as the accelerating pace of automation transforms a widening range of industries.

And it is not just in advanced countries but in emerging economies as well where machines are a growing force, with global sales of industrial robots increasing by 18% to a record US$13.1bil in 2016.

These groups are benefiting from mounting demand for sophisticated machines that no longer just weld car bodies and lift heavy loads, but also perform complex functions from electronic component production to arranging chocolates neatly into boxes.

Another trend is the increasing range and type of robot, as they vary from flexible mechanical limbs to smart machines that can work alongside humans. Cobots are specifically designed to interact with people.

The robotics market has been growing strongly and will continue to grow. The spread of robots has piqued the debate over the suitability of humans versus robots as workers, with warning that more machines will take jobs. Consultants McKinsey found that about 30% of tasks in 60% of occupations could be automated.

Advanced automation is partly a response to a shortage of skilled manual labour, with robots often filling “dull, dirty, dangerous and delicate” roles that people simply do not want. Also, the falling cost of robotics systems, and breakthroughs in robotics technology – combining with the rising level of electronic communication between equipment and computers in factories, sometimes called the industrial Internet of Things.

Then there is the shift in some industries from producing a small variety of goods in large batches, to a greater mix of products in smaller batches. All these are basically driven by consumers. Although the largest user remains the car industry (mainly for welding and painting), the main driver of growth is the electronics and electrical sector, chiefly located in Asia and mainly for batteries, chips and display.

But robots are also entering other areas, such as logistics warehouses, chemicals and plastics factories and the food and beverage industries. In total, almost 300,000 units were sold worldwide last year, with three-quarters bound for just five countries: China, South Korea, Japan, US and Germany. Three in every 10 went to China alone.

Once the manual labour “workshop of the world”, it has been the largest buyer of industrial robots since 2013, and its purchases jumped by 27% in 2017. There were increased investments in many developing countries as well, such as Taiwan, Thailand, India and Mexico, as well as in Italy and France.

While there have been improvements in hardware capabilities, such as hydraulics and mobility, perhaps the most important developments are in sensors and software that are making robots more sensitive, flexible, precise and autonomous. The software side of industrial robotics is becoming more and more important.

However, despite the growth, robots still have many limitations when it comes to dexterity, judgment and the ability to improvise. Today, machines are beginning to learn new tasks from humans by imitation. This has opened up big possibilities, especially for cobots, which are smaller, lighter, more flexible and mobile. And, even more critically cheaper, making it more affordable for small and medium-sized enterprises to invest. While usually slower, they have greater adaptability, because they can be assigned to different tasks.

US dominance

True, US roads, airports, seaports and schools are on the slide. But US retains dominance in the most sophisticated fields – defence, elite universities and technology. Sure, US ceded the top spot to China in exports in 2007, in manufacturing in 2011, and absolute GDP by 2030. But Silicon Valley is still where the best ideas, smartest money and the most savvy entrepreneurs reside.

But China is catching up fast: its BAT (Baidu, Alibaba and Tencent) are in the same league as the FAANGs and new stars are coming on fast (Didi Chuxing, Ant Financial and Lufax). China’s e-commerce sales are 2x US’ and China remits 11x more money by mobile phones than US (still scribbling cheques). China plans to lead globally in AI by 2030.

Its VC industry is booming – the entrepreneurial work-ethic in Beijing, Hangzhou and Shenzhen are a sight for sore eyes. Despite the huge progress, China remains far behind. Studies show that China’s tech industry is only about 42% as powerful as US (only 15% in 2012).

But Chinese tech has weak spots: (i) its total market value is only 32% of US; (ii) has two to three huge companies and lots of small ones; (iii) China is puny in semiconductors and business-facing software; (iv) its tech products has not as yet permeated the industrial economy; (v) Chinese non-techs are primitive – only 2.6% as digitalised as US; (vi) Chinese tech investment budget is only 30% as big as US, with foreign sales 18% of what US makes.

However, the gap narrows in the more dynamic parts of tech industry: (a) in e-commerce and internet, Chinese firms are 53% the size of US (in market value); (b) China’s unicorns are now worth 69% of US; (c) its VC activity, 85% of US in 2016; and (d) in “breakthrough” AI innovations, China’s population of AI experts is only 6% the size of US – with their best minds still working in large US techs; while cited AI papers by Chinese scientists are at 89% of US.

At the present pace, China will need a further 10-15 years to catch up. Viewed from China, US giant techs remain as “comfy monopolists”, while Chinese techs are plain “hungry”. Beijing’s blueprint: to create a US$150bil AI-industry by 2030 underlines its desire to beat US.

China’s advantage: sheer numbers of people, data, talent and superior lines of codes being written! At 730 million, China’s online population alone is more than 2x US size, and more tech-savvy. While US faces cut-backs in research money, China is committing ample money and also political capital into its relentless drive to reign supreme in AI.

However, the quality of fundamental research in China remains a problem. It lags behind EU in terms of the number of AI papers in the top 5% of most cited.

Where’s EU?

Few in US and China seriously regard Europe becoming a force in machine learning – the area AI has made the most progress in recent years. The process involves feeding reams of data through algorithms as AI learns to interpret other data.

Europe simply lacks scale; unlike US and China where tech giants have a surfeit of the most vital resource for AI – data; also attracted the best talent & boost the biggest computer clouds. Here, Europe is way behind.

Since US and China have centralised data systems (controlled by very few large firms), Europe can create a more decentralised option. China is expected to hold 30% of world data by 2030; US with just as much. Europe has data too, but needs to pool its diversified resources in research and data. But, Europe has institutional inertia, with much of its funding centered in academic institutions – not the best place for it. To be relevant, Europe has to do much more. Still, no match for US and China.

Silicon Valley: where next?

The stretch of land in the US Bay Area running from San Jose to San Francisco is home to three (Apple, Facebook, Google) of the world’s five most valuable tech giants. All claim Silicon Valley (SV) as their birthplace and home, as do trailblazers such as Airbnb, Tesla and Uber.

The Bay Area has the 19th largest economy in the world, ranking above Switzerland and Saudi Arabia. SV has become a byword for innovation and ingenuity. It has also been at the centre of several cycles of Schumpeterian destruction and regeneration, in silicon chips, personal computers, software and internet services. Its combination of engineering expertise, thriving business networks, deep pools of capital, strong universities and a risk-taking culture have made SV almost impossible to clone.

There is no credible rival for its position as the world’s pre-eminent innovation hub. But there are signs that SV’s influence is peaking. Yes, something is changing. According to a recent survey, 46% of residents surveyed plans to leave the Bay Area in the next few years, up from 34% in 2016. So, many startups are branching out: “Off Silicon Valleying.”

In 2013, SV investors put half their money into startups outside the Bay Area; now it is closer to two-thirds. Reasons: SV has just become too expensive; among the world’s costliest. Young startups pay at least 4x more to operate here. New technologies, from quantum computing to synthetic biology, make lower margins than internet services. There is also the nastier features of Bay-Area life: clogged traffic, discarded syringes and shocking inequality. The Miami-Fort Lauderdale area is now ranked first for startup activity, based on the density of startups and new entrepreneurs.

There are others: Los Angeles (which has a vibrant tech scene), Phoenix and Pittsburgh (have become hubs for autonomous vehicles); New York (for media startups); London (for fintech); Shenzhen (for hardware). None of these places can match the SV on its own; between them, they point to a world in which innovation can be better distributed. The problem is that the wider playing field for innovation is being levelled down, away from the dominant effects of tech giants.

Second, the increasingly unfriendly policies in the West. Rising anti-immigrant sentiment and tighter visa regimes have economy-wide effects: foreign entrepreneurs create around 25% of new companies in America. Unfortunately, SV’s peak looks more like a warning that innovation everywhere is becoming harder. SV is fast becoming more an idea instead of a place. Wall Street went through a similar transformation; its name becoming shorthand for a whole industry.

As tech firms set their sights on disrupting old-fashioned industries, like healthcare and logistics, they may find that it helps to be based in cities that claim deep expertise in these areas – and where garages housing startups are just the stuff of museums and memory.

What then are we to do

The time has come to love robots. Asians do. But not in the West where robots receive terrible press. They worry about robots killing jobs. In Asia, robots are today commonly used in Japan, South Korea, Taiwan and China. ADB’s June 2018 report analysing 12 developing Asian economies in 2005-15 concluded that rising demand had more than compensated for jobs lost to automation. The adoption of new technologies, such as modern machine tools and computer systems in factories and offices, had stimulated higher productivity and economic growth. That transformation, it estimated, had created 124 million new jobs, compared with the 101 million jobs lost to technology.

It is worth noting that there are two types of robots: those that do the work of humans and those that enhance their performance. We hear too much about the first type and too little of the second. Sure, their creations help humans deal with the “3 Ds”: dirty, dull and dangerous tasks. But countries that have the highest adoption of robots also have the lowest unemployment rates. Also, they help address the acute demographic squeeze as societies rapidly age. Some Asian societies prefer robots to immigrants to supplement their shrinking workforces. Robots are increasingly moving out of the factory into homes and hospitals, where they will need new capabilities.

I believe that technologies are always a net job creator over the long run, but, as Keynes put it, in the long run we are all dead. As these technologies make their way into every industry, they will benefit those at the very top with the skills and education to leverage the productivity advantages that AI affords.

Medical specialists, for example, could dramatically increase their income by using AI’s productive analytics to better diagnose and treat patients. But workers doing highly repetitive tasks that can easily be done by machines will not fare so well. This has massive consequences.

A McKinsey report shows that, while digitalisation has the potential to boost productivity and growth, it may also hold back demand if it compresses labour’s share of income and increases inequality. We badly need a kind of digital New Deal. For as many jobs as will be replaced by automation, there are other areas – customer service, big data analysis, etc. – that desperately need talent. Companies that pledge to retain workers and retrain them to develop skills to get stable jobs, should be offered tax incentives to do so. And spend the cash on factory upgrades, technical improvements, and re-training costs.

There are plenty of such projects that workers could be deployed now – including helping to expand rural broadband. It is a way for companies and government to turn a potential difficult employment situation into an opportunity by using this disruption to prepare & train a 21st-century digital workforce, and build public infrastructure to support it.

Credit: What are we to do? by Lin See-yan - Former banker, Harvard educated economist and British Chartered Scientist, Tan Sri Lin See-Yan is the author of The Global Economy in Turbulent Times (Wiley, 2015) & Turbulence in Trying Times (Pearson, 2017).

Tuesday, September 18, 2018

Revolutionising accounting for a new era

The field of accounting is in need of a new breed of professionals who can contribute more than a quantifiable value to companies.

Increasingly, accountants in business are given the opportunity to be less involved in automated operations and focus more on bigpicture strategies, which gives a clear indication of the type of skills required in the near future. Bryan Chung, FCPA



WHEN talking about the Industrial Revolution, images that often come to mind include the extensive use of steam power, the birth of heavy machinery and ironworks, and bleak factories in England.

However, two more industrial revolutions have since passed and the 21st century is paving its way for the Fourth Industrial Revolution (IR 4.0), which is seeing the rise of autonomous decision making of cyber-physical systems and machine learning through cloud technology.

In simple words, IR 4.0 is the usage of artificial intelligence (AI) and the Internet to transform age-old processes and operating procedures across all industries.

With such change taking place, what does this mean for the accounting industry and where do accountants find their relevance in an era that looks to automate everything?

Calculating assets

In an interview with international education provider Kaplan, Malaysian Institute of Accountants’ (MIA) chief executive officer Dr Nurmazilah Datuk Mahzan said, “Among the current trends that are creating waves in the accountancy profession are big data and analytics.

“Companies of all sizes create massive structured, unstructured and semi-structured data every day. Organisations harnessing big data would be able to find new insights and discover unique patterns of their customer behaviour or even create new businesses that were previously not possible.”

Echoing her sentiments is Bryan Chung, Fellow of CPA Australia (FCPA), divisional councillor at CPA Australia (Malaysia), who believes that even though AI is good at matching patterns and automating processes – making technology useful to many functions in companies in the process – accountants still play a vital role.

He says, “While there is a lot of hype surrounding blockchain and AI in accountancy with more firms taking steps to increase or experiment with their use, it is unlikely that accountants (or auditors) will be out of a job anytime soon.

“It is likely that most of the administration process will be the first to be introduced to AI. Increasingly, accountants in business are given the opportunity to be less involved in automated operations and focus more on big-picture strategies, which gives a clear indication of the type of skills required in the near future.”

The challenge, however, is turning the current workforce in the accounting field into professionals who truly understand the implications of IR 4.0, not just in terms of their personal skills but also movements within the industry.

Discovering market potential

Gone are the days when sales numbers, website traffic and KPIs were sufficient information to measure monthly net profits.

In the same Kaplan interview, the organisation’s global professional accountancy head Tanya Worsley said, “Businesses today depend on their accountants beyond purely checking financial figures and balancing books.

“Financial professionals are expected to be able to provide their clients with actionable insights that can add value to the organisation’s overarching strategic goals.”

The changing role of accountants in the digital economy is what prompted MIA to launch the Digital Technology Blueprint in July this year, a document that outlines the five driving principles to help guide Malaysian accountants to respond appropriately to digital technology.

These principles are related to digital technology trends, the identification of capabilities, harnessing of digital technology, funding and governance.

Accountants who fail to stay updated with the latest trends and knowledge will cause their employers to lose out in the long run, while competing firms take advantage of the evolving cloud system.

For these reasons, upskilling and obtaining professional qualifications from MIA or accountancy bodies such as CPA Australia, Association of Chartered Certified Accountants, Institute of Chartered Accountants in England and Wales or Chartered Institute of Management Accountants should be considered a necessity instead of mere steps for higher management.

As most professional accountancy bodies require members to undergo regular training to maintain their memberships, these certified professionals are expected to be fully prepared for IR 4.0 and, by and large, artificial intelligence experts.

Chung adds, “IT knowledge is no longer an option. Lest we aim erroneously, it is not how extensive the IT knowledge is (as this is available in abundance and can be acquired easily), but the ability to understand the evolution of the profession and apply the knowledge appropriately.”

Explaining that accountants must use technology in their favour to elevate companies to new heights, he gives the example of successful tech businesses that used e-platforms to achieve massive scalability and visibility within a short time, despite having owners or founders who were not IT graduates.

“In the same way, accountants should be more strategic, make sense of the vast data available and deliver services based on the twin pillars of speed and quality,” he continues.

Eliminating liabilities

When combining this piece of information with the future route of total automation for jobs that are repetitive, rule-based and involve limited or well-defined physicality, the traditional job scope of accountants is coming to an end.

Employers are bemoaning the skill gaps currently present in the knowledge of digital technologies, forcing companies to spend resources retraining and reskilling their employees.

At the other end of the spectrum, constant news reports highlight the more pressing issue of employers having difficulty finding good graduates who can hit the ground running upon entering the workforce.

These situations highlight the dire need for a new breed of accountants who can provide more all-inclusive corporate reporting, which tells less about the numbers and more about the narrative of a company.

The Malaysian education system, for one, must move towards becoming an ecosystem for continuous upgrading of skills, working together with employers, be they officials from the Government, small business entrepreneurs or industry experts from professional organisations.

Colleges and universities need to continue reviewing their course offerings so that graduates have an accurate understanding of the evolving industry while being trained to adapt to new technologies and autonomous changes at the workplace.

However, it is not all doom and gloom. Chung points out, “There are now many initiatives being undertaken by various professional organisations and associations to provide education to accountants to increase awareness of the changes taking place.

“There are efforts now by professional bodies, corporates and academia to come together to address the disconnect between what’s being studied at universities and what’s relevant in the business world.”

Given how the financial technology space has demonstrated the willingness of companies to use innovative methods, Chung is optimistic about the future as the accounting profession can not only make positive inroads but ride on the back of this momentum to accelerate the learning and adoption of technologies as the nation moves into a new era of automation.

Credit: Bryan Chung, FCPA

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