Articles Archives — Page 4 of 8 — Carrington Malin

February 10, 2020
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As our world becomes AI First, we’ll soon see a new generation of AI natives – those that have never known a world without AI assistance – with their own set of needs, behaviours and preferences.

My daughter learned to recite the alphabet from Youtube when she was three and taught both her mother and grandmother how to use Netflix at age four. It was then when she discovered Google Voice Search and was delighted when she searched for the children’s rhyme There was an old woman who swallowed a fly and instantly discovered a video of the song. Since then, of course, she’s become a user of Amazon Alexa, Google Home and — now seven years old —has her own tablet, but nevertheless still borrows mobile devices from anyone that will allow her to amuse herself with apps and voice queries. For parents these days, this is the new normal.

The unprecedented accessibility of today’s technology begs many questions for parents, educators, healthcare professionals and society as a whole. Until the arrival of the iPad’s tap and swipe interface, literacy served parental control very well. If your child couldn’t type — or at least read — then they could not do very much with the Internet, discover content, participate in digital messaging or, most importantly, use digital devices to get into any trouble.

In the 80s, access to computers was mostly limited to those that wanted to learn MS DOS commands. With the proliferation of Microsoft Windows in the late 90s, users had to, at least, be able to read. In the 2000s, rich visual cues for point-and-click navigation on the Internet had begun to take over, but this still required a basic level of technical expertise to engage. Fast forward to 2019 and many homes have multiple, always-on devices that can be activated by voice commands. The only requirement the system makes of the user, is that they can speak a few words.

In the early 2000s, educational institutions, government departments and child welfare groups began campaigning in earnest for child safety on the Internet, raising awareness, for the most part, of dangers facing children from the age of 9 years old upwards that might have been using the Internet unsupervised. Today, with the increasing popularity of artificial intelligence-powered virtual assistants and other smart devices, your child could be accessing the Internet at age three or four. At first, they won’t be able to do very much with that access, but they learn fast!

So, now our globally-networked, AI-powered technology has become accessible even to tiny tots, what impact does this have on parenting, learning and a child’s cognitive development?

Throughout most of the past two decades, the American Academy of Pediatrics stood by its strict recommendation to parents of absolutely no screen time of any kind before the age of 2 years old. For parents with iPads and TV sets in the house trying to enforce this increasingly controversial rule, this was both frustrating and perplexing. It was hard to understand what the harm was in a one year-old watching an hour of TV or nursery rhymes on an iPad. In 2016, the AAP repealed its no-screen rule and instead introduce a more practical set of guidelines for parents raising children in a multi-media environment.

Unfortunately for the AAP, it is likely that their new set of technology guidelines for parents will be obsolete quite soon. AI voice technologies are being rapidly adopted around the world, with the likes of Alexa and Google Assistant being incorporated into a wider and wider range of devices and becoming commonplace in households globally.

As any family that has these devices at home will already know, children can turn out to be the biggest users of virtual assistants, both via mobile devices and via smart speakers. Whilst the language barrier prevents one and two year olds accessing the technology, today’s parents can expect that it won’t been too long after hearing baby’s first words that baby starts talking to AI.

Although circumstances obviously vary from child to child, according to their development and affinity to the technology, having always-on AI voice in the room raises its own set of questions.

For example, when does a child become aware than an AI voice device is not actually human? Is feeling empathy for a software programme a problem?

Should we, in the process of teaching our young children to be courteous, insist that they use pleases and thank yous when giving voice commands? If not, what are the implications of children growing up, from an early age, getting used to giving commands, while most parents are trying to teach them to be more polite?

Young children today are our first generation of AI natives. They will be the first generation to grow up never having known a world that wasn’t assisted by artificial intelligence. As the digital native generations before them, their needs and behaviours will be shaped by and in tune with prevailing technologies.

Whilst we can expect many false starts, artificial intelligence is going to be widely embraced by education systems to teach, tutor, test and grade school children and their work. In fact, it will prove to be pivotal to 21st century education.

Today, China is far into the lead in piloting new AI-powered school programmes. Some 60,000 schools in China — or nearly a quarter of those in the country — are currently piloting an AI system which grades student papers, identifies errors and makes recommendations to students on improvements such as writing style and the structure or theme of essays. A government programme led by scientists, the AI system is not intended to replace human teachers, just improve efficiency and reduce time spent on reviewing and marking student papers. Teachers can then invest more time and energy in teaching itself.

Chinese after-school tutoring platform Knowbox has raised over $300 million in funding since its launch in 2014, to help school students learn via apps that provide highly personlised curated lessons. It’s already working with 100,000 schools in China and has its sights set on the global education market.

Meanwhile, China is in the advanced stages of developing curricula on AI theory and coding for primary and secondary schools. Guangdong province, which borders Hong Kong and Macau, introduced courses on artificial intelligence to primary and middle school students from September 2019. The programme will be piloted in about 100 schools in the province, but by 2022 all primary and middle schools in the region’s capital Guangzhou will have AI courses incorporated into their regular curriculum.

Singapore launched its Code for Fun (CFF) schools programme in 2014 in selected schools, at first targeting about 93,000 students. Developed by the Ministry of Education and IMDA (the Infocomm Media Development Authority) the 10-hour programme teaches children core computing and coding concepts via simple visual programming-based lessons. All primary schools in Singapore will have adopted the programme by 2020.

Children growing up during the next decade, will simply take AI for granted, as a pervasive new wave of AI-powered services supports their every want and need. However, just as this new generation will find it hard to understand what life was like before AI, older generations will find some of the new habits and behaviours of AI natives unfathomable.

For better or for worse, the drivers for AI development and deployment are economic and commercial. So, we can expect brands and commercial services to continue be at the forefront of innovation in AI. Which means, just as previous generations have been characterised as being self-involved — beginning with the original ‘Me Generation’ of Baby Boomers, so AI natives are likely to struggle to explain themselves in a world that seemingly revolves around them.

There’s been much public comment over the past ten years to suggest that Millennials — the age group born between 1981 and 1996 — have developed to be more narcissistic than previous generations. The familiar argument credits social media and ecommerce with driving the need for young people’s excessive attention and instant gratification. Although, it is true that every generation of adults seem to view the population’s youth as narcissistic.

“The children now love luxury; they have bad manners, contempt for authority; they show disrespect for elders and love chatter in place of exercise. Children are now tyrants, not the servants of their households. They no longer rise when elders enter the room. They contradict their parents, chatter before company, gobble up dainties at the table, cross their legs, and tyrannise their teachers.”

– Socrates, 5th Century B.C. Greek philosopher.

University researchers in Europe and the U.S. have been trying to ascertain whether there has been a clear increase in narcissism for the past decade, but the truth has been found to be less straightforward than common prejudices.

A study by a joint European-U.S. university research team published in Psychological Science, suggested that there was a ‘small and continuous decline’ in narcissism among college students from 1992 to 2015. A recent study led by, then University of Mannheim, researcher Eunike Wezel and due to be published in the Journal of Language and Social Psychology found that, overall, narcissism seems to decline with age.

What is clear, is that young people in our globally-connected and information-rich world do appear to be better educated and more worldly-wise than previous generations, often having more confidence and being far more concerned with climate change, the destruction of our environment and the future of our planet.

So, as our technology becomes AI first, we can hope that ubiquitous access to knowledge, education and tools to empower individual aspirations is going to be a positive thing.

On the home front, a big part of the problem with parental control is that until very recently computer systems have never been developed with the under-tens in mind: let alone the under-fives. In the past, due to the technical knowledge required and the convenient literacy barrier, software developers rarely had to take children into account. This is now changing quite swiftly.

Amazon introduced a child-focused version of its Echo smart speaker a year or two ago, with a parental control dashboard which gives parents the options to limit access, set a cut-off for bedtime and choose what Alexa skills their children are permitted to use. It also released a ‘Say the Magic Words’ skill to help teach children good manners.

Meanwhile, Google is continuing to develop the capabilities of Family Link, a parental control hub for family Google accounts introduced in 2017. It boasts features such as setting screen time limits, approving Android Apps and even the ability to lock children’s devices remotely. Google also allows parents to set up Google Home voice profiles for their children.

Both Google and Amazon allow virtual assistant users to turn-off payment features to avoid accidental Barbie doll or remote-controlled toy orders.

The arrival of AI in our homes presents new challenges for parents, not entirely unlike the arrival of the television, video games, cable TV or the home broadband Internet connection. At first parents and child experts alike will struggle to put the benefits and risks of AI voice devices into context. Many children will succeed at this faster than either one.

This story first appeared on My AI Brand (Medium)


February 6, 2020
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The tech giant’s new chatbot could make AI-powered communication more conversational and even more profitable

Since the launch of Apple’s Siri a decade ago, more than 1.5 billion virtual assistants have been installed on smartphones and other devices. There can be few electronics users who don’t recognise the enormous promise of conversational AI. However, our seemingly hard of hearing virtual assistants and awkward artificial intelligence chatbot conversations have also proven the technology’s limitations.

Anyone who uses AI assistants is sure to experience frequent misunderstandings, irrelevant answers and way too many ‘I don’t know’ responses, while many corporate chatbots simply serve up pre-defined bits of information whether you ask for them to or not. So, while we have seen massive advances in natural language processing (NLP) during recent years, human-to-AI conversations remain far from ‘natural’.

But that may soon change.

Last week, a team from Google published an academic paper on ‘Meena’, an open-domain chatbot developed on top of a huge neural network and trained on about 40 billion words of real social media conversations. The result, Google says, is that Meena can chat with you about just about anything and hold a better conversation than any other AI agent created to-date.

One of the things that Google’s development team has been working on is how to increase the chatbot’s ability to hold multi-turn conversations, where a user’s follow-up questions are considered by AI in context of the whole conversations so far. The team’s solution has been to build the chatbot on a neural network, a set of algorithms modeled loosely on the way the human brain works, which is designed to recognise patterns in data. This neural network was then trained on large volumes of data to create 2.6 billion parameters, which inform those algorithms and so improve Meena’s conversation quality.

Creating conversational computer applications that can pass for human intelligence has been a core theme for both computer science and science fiction since the fifties. Alan Turing, the famous British World War II codebreaker and one of the founding fathers of AI theory, developed a test to measure if a computer system can exhibit intelligent behaviour indistinguishable from that of a human in 1950. Since then, the Turing Test has been somewhat of a Holy Grail for computer scientists and technology developers.

However, Google’s quest to develop a superior chatbot is far from academic. The global AI chatbot market offers one of the best examples for how AI can drive revenue for businesses. Business and government organisations worldwide are investing in chatbots, in an effort to enhance customer service levels, decrease costs and open up new revenue opportunities. According to research company Markets and Markets, the global market for conversational AI solutions is forecast to grow from $4.2 billion (Dh15.4bn) in 2019 to $15.7bn by the year 2024.

Chatbot solutions built for large enterprises have the ability to carry on tens of thousands of conversations simultaneously, drawing on millions of data points. Global advisory firm Gartner Group has found AI chatbots used for customer service can lead to reductions in customer calls, email and other enquiries by up to 70 per cent.

All this industry growth and customer service success is taking place despite the innumerable issues that users encounter when trying to have customer service conversations with AI chatbots. As consumers, we are now conditioned to dealing with technology that doesn’t quite work. If the benefits outweigh the frustration, we’re happy to work around the problem. We rephrase our questions when a chatbot can’t interpret our request or choose from the options offered, rather than try to solicit further information. Or, if we feel the conversation is just too much effort for the reward, we just give up.

The latent opportunity for virtual customer assistants is that they could play an active role in defining needs and preferences in the moment, whilst in conversation with the customer, helping to create highly personalised services. Today, programmers have to limit the options that customer service chatbots offer or too many conversations result in dead-ends, unmet requests and frustrated customers. So, choices offered to customers by chatbots, are often as simple as A, B or C.

If developers can increase a chatbot’s ability to hold a more natural human conversation, then chatbots may have the opportunity to solicit more actionable data from customer conversations, resolve a wider range of customer issues automatically and identify additional revenue opportunities in an instant.

Given how fast the chatbot technology market is growing, the payback from enabling AI chatbots to bring customer conversations to a more profitable conclusion could register in the billions of dollars.

This story was first published in The National.


February 4, 2020
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The WEF worked with more than 100 companies and tech experts to develop a new framework for assessing risk and AI.

Companies are implementing new technologies faster than ever in the race to remain competitive, often without understanding the inherent risks.

In response to a growing need to raise awareness about the risks associated with artificial intelligence, the World Economic Forum, together with the Centre for the Fourth Industrial Revolution Network Fellows from Accenture, BBVA, IBM and Suntory Holdings, worked with more than 100 companies and technology experts over the past year to create the ‘Empowering AI Toolkit’. Developed with the structure of a company board meeting in mind, the toolkit provides a framework for mapping AI policy to company objectives and priorities.

Developed with the structure of a company board meeting in mind, the toolkit provides a framework for mapping artificial intelligence policy to company objectives and priorities.

Any board director reading through WEF’s Empowering AI Toolkit will find it valuable not because it delivers any silver bullets, but because it can provide much-needed context and direction to AI policy discussions – without having to hire expensive consultants.

The new framework identifies seven priorities, like brand strategy and cybersecurity, to be considered from an ethics, risk, audit and governance point of view. The toolkit was designed to mimic how board committees and organisations typically approach ethics, policy and risk.

Artificial intelligence promises to solve some of the most pressing issues faced by society, from ensuring fairer trade and reducing consumer waste, to predicting natural disasters and providing early diagnosis for cancer patients. But scandals such as big data breaches, exposed bias in computer algorithms and new solutions that threaten jobs can destroy brands and stock prices and irreparably damage public trust.

Facebook’s 2018 Cambridge Analytica data crisis opened the world’s eyes to the risks of trusting the private sector with detailed personal data. The fact that an otherwise unknown London analytics company had drawn data on 50 million Facebook users without their permission not only drew public backlash, it sent Facebook’s market value plunging $50 billion within a week of the episode being reported.

In addition to Facebook’s Cambridge Analytica woes, there have been a number of high-profile revelations that artificial intelligence systems used by both government and business have applied hidden bias when informing decisions that affect people’s lives. These include a number of cases where algorithms used by big companies in recruitment have been biased based on the race or gender of job candidates.

There is some awareness that new technologies can wreak havoc if not used carefully – but there isn’t enough. And it can challenge corporate boards to predict where a pitfall may present itself on a company’s path to becoming more tech-savvy.

Despite all the warning signs, there remains an “it can’t happen here” attitude. Customer experience company Genesys recently asked more than five thousand employers in six countries about their opinions about AI and found that 54 per cent were not concerned about the unethical use of AI in their companies.

Many corporations have established AI working groups, ethics boards and special committees to advise on policy, risks and strategy. A new KPMG survey found that 44 per cent of businesses surveyed claimed to have implemented an AI code of ethics and another 30 per cent said that they are working on one.Since AI is an emerging technology, new risks are emerging too. Any company could use a road map.

One of today’s biggest AI risks for corporations is the use of, as WEF calls them, ‘inscrutable black box algorithms’. Simply put, most algorithms work in a manner only understood by the programmers who developed them. These algorithms are often considered to be valuable intellectual property, further reinforcing the need to keep their inner-workings a secret and thus removed from scrutiny and governance.

There are already a number of collaborations, groups and institutes that are helping to address some of these issues. The non-profit coalition Partnership on AI, founded by tech giants Amazon, DeepMind, Facebook, Google, IBM and Microsoft, was established to research best practices to ensure that AI systems serve society. Last year, Harvard Kennedy School’s Belfer Center for Science and International Affairs convened the inaugural meeting of The Council on the Responsible Use of Artificial Intelligence, bringing together stakeholders from government, business, academia and society to examine policymaking for AI usage.

However, the speed and ubiquitous nature of artificial intelligence mean that even accurately defining certain risks remains a challenge. Even the best policies must allow for change. The good news is that WEF’s new AI toolkit is available free-of-charge and so could prove to be of immediate value to commercial policymakers the world over.

This story was first published in The National.


January 28, 2020
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Our AI first world is emerging standing on the shoulders of the mobile-first world, but it will also raise its own generation of AI natives

Google CEO Sundar Pichai called it a few years ago in a letter to company shareholders, when he said that we’re all moving from a mobile-first world to an AI first world. On the face of it, this seemed quite straightforward to understand. Businesses are seeing artificial intelligence become embedded into more and more processes, with software developers making it easier and easier for companies to leverage AI across their organisations. Meanwhile, consumers are already using a wide variety of applications that are supported by AI every day, drawing on Big Data, machine learning, computer vision and natural language processing (NLP).

However, Google’s corporate strategy is also a prediction of a new world to come and a fundamental shift in human behaviour. Our new AI first world isn’t simply a world where AI is embedded into all technology, nor just a way for organisations to improve performance and save money. Truly pervasive AI will mean that there will be few human actions where AI assistance is not available and for consumers, their first touch point for any brand will be AI. The early signs of this are clearly visible today.

Businesses are already trying to make our lives easier, whilst drawing in consumers to have deeper relationships with their brands, by using AI to provide consumers with more timely and appropriate interactions, prompted by personalised recommendations and communications. More often than not though, these AI supported communications are limited to certain channels.

AI is also being used more extensively to engage and converse with the consumer, exchanging information and providing feedback, 24/7. A recent survey of 450 customer service and support leaders worldwide by Gartner found that 37 percent are either piloting or using AI bots and virtual customer assistants (VCAs).

Gartner forecast that chatbots and VCAs will be used in 25 percent of customer service and support operations by 2020, although estimates today range from 23 percent to 80 percent. However, what is clear is that companies that have implemented chatbots are reporting reductions in customer calls, email and other enquiries, which Gartner says may be reduced by up to 70 percent of pre-AI volumes.

Crucially, Gartner also points out that AI will be a major force in shaping customer self-service. In the future, AI will empower customer-led approaches to service, where a customer’s preferred option may be i) do it myself, ii) let’s do it together iii) let my AI bot do it for me, or iv) let our AI bots do it together.

Today, when most consumers think about interacting with AI, they tend to think of a device or channel such as Amazon’s Alexa Echo, or Android’s Google Assistant or the Apple and Microsoft alternatives. More and more will have experience of chatting with AI bots via Facebook, Whatsapp or company websites, and an increasing number will talk to call centre AIs when contacting their bank, telecom or other service providers.

No doubt, virtual assistants are going to be instrumental in creating our new AI first world. However, these are destined to become a utility, embedded into almost every device, process and transaction imaginable. This means that whether you are watching TV, shopping at the mall or dining in a restaurant, your first point of contact with any brand could be conversational AI.

Every business, therefore, is going to be under increasing pressure to become an AI first business, and to do so at a speed that few today are prepared to even consider, even those in the midst of that very process. So, let’s take a step back and review the case of mobile-first marketing.

The phrase ‘mobile-first’ started to gain popularity about ten years ago. In fact, Luke Wroblewski’s book ‘Mobile First’ was published in 2009. This new approach to consumer marketing strategy was taken in response to the new generation of smartphones usage, which arguably began with Apple’s 2007 iPhone launch. Smartphones, social media and new location-specific services were driving demand for mobile broadband. And, in turn, marketing started to revolve around SoMoLo engagement (social, mobile and local).

As has often been the case, marketing technology lagged behind. Mobile marketing and services were prohibitively difficult manage and integrate with online marketing, CRM and in-store retail. Mobile marketing was, a first, limited to a few mobile channels and lacked integration with the rest of the marketing ecosystem, fragmenting customer journeys.

However, over the past five years we’ve seen mobile marketing become integrated. CRM systems, analytics, marketing managing platforms, advertising media placement, software deployment and payment transactions can now all be managed using integrated tools that allow more of a 360 degree view of the business. Brands recognise that consumers are using smartphones to do product research and browse options, even as they walk around their stores, and they now have the technology to offer and integrate mobile experiences with a wide variety of channels: whether they are paid, earned, shared or owned.

The swift rise of connected mobile devices forced marketers and martech developers to create integrated, cross-platform, omnichannel strategies and solutions that allow for a more seamless customer experience and give a business a 360 degree view of communications. This is important, since — as we’re seeing today — adding new channels into marketing management systems and CRM, such as AI chatbots, is no great hurdle to jump.

Just how integrated your mobile brand experience is, currently depends on where you live. China has the highest usage of mobile payments, with a mobile payment penetration rate of 35.2 percent. Alipay, WeChat Pay and other online payment apps are popular in almost all cities in China and this year an estimated half a billion Chinese will using their mobile devices to pay in brick-and-mortar stores, restaurants and other retail outlets.

Our future AI first world is obviously going to emerge standing on the shoulders of the mobile-first world.

Google launched its answer to Amazon Alexa in 2016 and, due to the widespread adoption of its Android mobile platform, was able to make the virtual assistant available in 80 countries and 30 languages within two years. Today, Google Assistant is available on more than 1 billion devices.

So, from an AI first communications point of view, businesses can already engage with consumers across a range of AI conversational interfaces, to include chatbots, voice assistants, call centres and email. What’s yet to be developed is the interoperability that allows a brand to chat with you via Facebook Messenger, then call you via an AI call centre and then, perhaps, greet you via an AI voice assistant when you walk into their showroom: all whilst seamlessly continuing the same thread of conversation.

Technology vendors such as Amazon, Google, IBM, Microsoft and Nuance Communications are all investing in the development of end-to-end conversational platforms that allow organisations to engage in complex conversations using the same conversation agent across multiple platforms.

It’s early days for end-to-end conversational platforms, but, for example, it is already possible to develop a virtual customer assistant using IBM’s artificial intelligence platform Watson, then use that VCA to communicate via Amazon Alexa or Google. If this is developed to integrate with IBM’s next-generation call center Voice Gateway, with a little help from a cloud communications platform like Twilio, the same technology can be used to make and receive voice calls, send SMS and converse with customers via Whatsapp.

The development of these multi-purpose conversational platforms will, ultimately, give organisations the ability to create, deploy and manage conversation agents anywhere the technology exists for a consumer to interact. Voice assistants are already starting to be used in automobiles, public transport, retail stores, museums, restaurants and many other scenarios. So, why not refrigerators, automatic doors, escalators and soda machines too?

All of this means that consumer expectations for AI first services are going to soar rapidly, putting pressure on businesses to not only cover the bases, but to innovate to create engaging customer experiences. To do this, organisations have a lot to learn very quickly. AI first communication requires technology, new knowledge and skills, customer experience and, of course, lots of data.

Unlike previous waves of technology that have required users to learn about how the technology works in some detail in order to derive value from it, conversational AI makes it easy for consumers to engage and benefit from an almost infinite variety of AI supported services without ever reading a manual.

Consumer adoption is going to be fast and, as people grow weary of mobile HTML pages and typing data requests, so they going to be more open to innovative new AI voice experiences. AI voice communication will simply become the path of least resistance.

In fact, as the next generation of consumers come online, they will be growing up with AI first services. Our latest Generation Zs and their successors will grow up ‘AI natives’, with their own needs, preferences, behaviours and habits developing in tune with the new AI first world. The only respite for businesses today is that for the next ten years most of their customers will, at least, remember how to deal with them without help from artificial intelligence.

This story first appeared on My AI Brand (Medium)


January 17, 2020
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The UAE is developing a sophisticated and far-reaching range of initiatives to attract 21st century skills.

In 2015, Klaus Schwab, the executive chairman of the World Economic Forum, coined the term ‘Fourth Industrial Revolution’ to describe our connected industrial society and its increasing reliance on intelligent information systems.

As with previous industrial periods, this revolution will have a profound impact on our world, not least of all changing the nature of work and our relationship with it. However, in the short term, many of the dynamics will appear familiar, such as the increasing demand for specialist skills that serve new, upcoming industries and the competition among employers to hire those skills.

His Highness Sheikh Mohammad Bin Rashid Al Maktoum, Vice President and Prime Minister of the UAE and Ruler of Dubai, on Sunday launched two new initiatives supporting the National AI Strategy to build capacity in AI talent. Announced at a retreat organised for AI experts by the National Programme for Artificial Intelligence, the new initiatives are part of a far-reaching policy to ensure the long-term availability of talent at many levels, to help ensure the country’s competitiveness in the Fourth Industrial Revolution.

In light of fierce global competition among nations for leadership positions in the Fourth Industrial Revolution and the fluid state of the global AI talent pool, winning our new talent wars will require more than simply outbidding competitors. Today’s policymakers must recognise that they need to attract both home-grown and international talent, leverage human resources that are located around the world and create ways of building long-term relationships that will continue to support the availability of talent. It’s all about building talent ecosystems, rather than simply planning to acquire more people with the right skills.

The UAE government recognised the scale of the talent challenge early on and has been developing a wide range of initiatives to attract, train and develop talent, nationally, regionally across the Arab world and globally.

But what did the previous industrial revolutions teach us? The workforce requirements of the first three changed our planet forever. In pre-industrial societies, more than 80 per cent of the population lived in rural areas. Drawn by the promise of jobs in new industries, people flocked from the countryside to towns and cities. By the year 1850, more people in the United Kingdom lived in cities than rural areas and by 1920, a majority of Americans lived in cities, too. The mass movement of people resulted in far-reaching economic, geographic and social changes that have made our world what it is today.

The changes that the Fourth Industrial Revolution will bring are also destined to shape the future of human existence. Artificial intelligence is set to transform the nature of nearly every single one of today’s existing jobs, eliminate job roles that currently employ millions of people and create millions of new jobs, including many roles that have not yet even been imagined. Furthermore, the pace of change is accelerating, powered by faster technology development and so putting more pressure on business, economic, political and government systems than ever before.

Critically, for the global competitiveness of both business and nations themselves, the supply of talent to fuel the development and implementation of artificial intelligence systems is in short supply. It’s a highly dynamic pool of talent that is changing rapidly, following different rules to past waves of tech-related talent and it includes people that are more independent of industry and location.

At a UAE government level, an AI Programme has been created in partnership with Kellogg College at Oxford University to train UAE nationals and help them accelerate the delivery of the national AI strategy. The first batch of 94 participants graduated in April 2019.

On a regional level, the One Million Arab Coders programme launched in 2017 incentivises Arab youth at large to acquire new skills, graduating 22,000 programmers in its first year. In 2019, several new modules were added to the curricular, including an ‘Introduction to AI’ module. The UAE also launched a One Million Jordanian Coders’ Initiative in Jordan and a One Million Uzbek Coders’ initiative in Uzbekistan.

Meanwhile, in the country’s tertiary education system, a number of AI education programmes, degree courses and research centres have been introduced to UAE colleges and universities over the past couple of years. In October, the UAE announced the world’s first graduate AI university — Mohamed bin Zayed University of Artificial Intelligence. The research-based academic institution offers fully paid scholarships for masters and PhD courses starting September 2020.

The two new initiatives launched this week add further appeal to aspiring AI talent. The AI Talent Hunt programme will create an AI laboratory drawing together national and global expertise to solve real world issues, while a competitive AI Challenge Programme will be rolled out in partnership with Microsoft.

In the race to attract 21st century skills, the UAE is already engaging talent at multiple levels and has begun to build a reputation as an enabler of talent, rather than simply a destination. This effort, combined with its goals to become a global hub for AI research and entrepreneurism, could well encourage much sought-after talent to stay in the UAE, or, at least, keep coming back.

This story was first published on The National


January 10, 2020
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New ‘Thank My Farmer’ app will help coffee drinkers further support the farmers who grow their beans

The global coffee industry is now worth some $200 billion (Dh734.64bn) a year, yet the average income for coffee farmers has not changed in two decades. This is according to UK advocacy group Fairtrade. Meanwhile, most coffee drinkers are blissfully unaware that for every $3 to $5 cup of coffee they buy, the original coffee producer may actually make less than 1 cent.

Consumers, as always, wield all the power. They not only play a pivotal role in pushing for higher service standards, but also higher standards of corporate, social and environmental responsibility. In response, many companies have invested in making it easier for consumers to learn more about the products they are buying and the production process. However, transparency has proven difficult to deliver for many food products, including commodities such as coffee and tea.

So, how does a socially conscious consumer make informed choices about what coffee or tea they buy? How does one have any certainty about the sustainability of farming practices or the impact of their purchase on the farmers themselves?

A new blockchain initiative unveiled at this week’s Consumer Electronics Show (CES) 2020 in Las Vegas may shine a light on the way forward. Farmer Connect, an independent ecosystem of coffee farmers and the coffee industry, and IBM rolled out ‘Thank My Farmer’, a mobile app that allows consumers to view information drawn from a network of farmers, traders, roasters and brands.

Built using IBM’s blockchain food safety solution, the new app helps close the gap between a consumer’s coffee purchase and the farmer who grew the coffee beans. Using blockchain to ensure the integrity and security of the data, IBM Food Trust allows all coffee industry partners to share food information, creating a more transparent and trustworthy global food supply chain.

According to founder and president of Farmer Connect, David Behrends, the aim is to humanise each coffee drinker’s relationship with their daily cup of coffee. The app will allow consumers to play an active role in sustainability governance by supporting coffee farmers associated with their coffee brands. The app also gives consumers an opportunity to donate funds directly to farmers around the world, or to help fund sustainability projects in the farmers’ local communities.

Many in the food industry have been developing blockchain solutions to help make the supply chain traceable and more transparent. Last year, the 180-year-old tea producer Assam Company and US-based technology firm SmartFarms unveiled plans to develop a blockchain solution to trace tea leaves from the farm to the cup, together with a consumer app that would also allow consumers to thank farm workers directly.

Agricultural commodities typically pass through many intermediaries before being offered to consumers as a packaged product. For example, smaller coffee and tea farmers in developing nations may sell crops to larger producers, before produce changes hands between a number of exporters, importers, traders, roasters, distributors and retailers. The complexity of the supply chain and lack of technology at the source makes it prohibitively difficult to inform the consumer exactly how and where coffee was farmed.

In our globalised economy, commodity prices may change with seasonal highs and lows in consumption, especially good or poor crop harvests in the countries where its grown, currency exchange rates and new import tariffs. Coffee prices enjoyed a high of $3.06 per pound in 2011, but have been unstable ever since, falling by more than 40 per cent over the past three years to a low of less than $1 per pound last June.

Although prices have increased during the past few months, the extended instability of global coffee prices has left farmers in Africa, Asia and South America struggling to stay in business. Consequently, many farmers simply aren’t able to pay the wages to workers that they would like to.

Under normal circumstances, a coffee or tea drinker in Europe or the US may only be aware of the product brand and price, or perhaps the commodity prices reported in the news. Consumers may feel the impact via changes in product pricing, but few are normally aware of how swings in commodity prices affect the farmers and farm workers.

Fair trade labelling has helped some promote transparency and benefited fair trade farmers. However, it doesn’t solve the issue of how to bring transparency to global supply chains.

If these new initiatives using blockchain are successful, then consumers may soon be offered more certainty that the food brands they buy not only taste good, but are good for the farmers too.

This story was first published on The National.


January 6, 2020
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Now that the New Year has arrived, I’m not about to tell you how to develop your 2020 marketing plan. I’m guessing that this is, at least, completed in draft and perhaps already approved and has been used for other 2020 briefing and planning. However, could you improve your marketing plan’s presentation?

Although you may well have worked long and hard on your marketing plan, you may still be in the process of improving it before sharing a final version with your wider internal audience. Perhaps you intended to add a few tweaks over the holidays, or maybe you’re creating a shorter version of your plan in slide format to help communicate your plan internally. Whatever you choose to do, it’s important to have a marketing plan ready that is easy to understand for internal stakeholders across your organisation. We’re all ‘in marketing’ these days, so making the effort to improve your marketing plan presentation is time well spent!

Continue reading this story on Linkedin.


December 30, 2019
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Will AI take your job? Of course not, but that’s hardly the right question.

The semantics used by the technology industry about AI and its impact on jobs have started to grate on me a bit. The future of work is changing faster than ever before and it will drive many new opportunities and new career paths. In the short term, the reality is that a lot of people will lose their jobs, but that’s something no technology leader wants to be quoted as saying, in particular when they could be holding forth on our bright AI-powered future.

IBM CEO Ginni Rometty said – a couple of years ago now – that AI will impact 100 percent of current jobs, which, of course, is now common sense. AI’s impact on jobs is also a complex subject and its dangerous to try to sum it up in one simple concept. However, by and large, that’s what many tech leaders are doing, with “AI won’t take your job” as the reassuring umbrella message that the whole drive towards AI adoption seems to fly under. The answer is both straightforward and misleading. No, AI won’t take your job, anymore than a gun will shoot you: that requires a human.

The fly in the tech industry’s ointment is that their customers are not always ‘on message’. Many large employers have already commented over the past year that one of the benefits that AI brings to them is the ability to do more with less staff, some even going further and stating plainly that the technologies are allowing them to cut volumes of staff.

There are now a growing number of studies that highlight huge changes in the number of current jobs that will be phased-out due to the introduction of automation. In October, a report on the banking sector from Wells Fargo & Co. estimated 200,000 job cuts across the US banking industry over the next decade, including many customer service functions. Often, the big numbers in such reports are necessarily ‘fuzzy’. Statistics often include jobs that employers will phase out by head-count freezes, jobs that will no longer be specified for new operations, plus actual redundancies.

Forecasts for the elimination of certain jobs are embraced by the technology industry as evidence that the nature of work is changing and that old jobs must die in order for new, technology-enabled jobs to be created. One can already see from Linkedin’s top emerging jobs lists for 2019, that specialist roles in artificial intelligence development, robotics, data science and data security are all fast-growing. This is the crux of the now commonplace – but, as yet, unsubstantiated – argument that AI will create more jobs than it eliminates.

How much of ‘the future’s so bright’ narrative is used by the tech industry to distract us from the here and now? On conference platforms all over the world, big tech typically urges employers to focus about how AI can enhance productivity, help define new business models and benefit customers, and not to simply save costs by replacing workers. However, for any business that aims to be competitive in our global economy, must look at ways to cut costs as well as ways to increase efficiencies. As more AI-powered solutions are developed that reduce the need for human workers, more jobs are cut.

Food delivery platform Zomato announced that it was laying off some 600 people in September, claiming that most of these jobs will be automated following continued investment in technology systems.

Earlier in the year budget airline AirAsia confirmed that it had closed nine call centres as a result of its AI chatbot customer service project. No redundancies were mentioned and it’s assumed that most, if not all, call centres were outsourced.

Banks all over the world have used automation to cut countless thousands of jobs over the past ten years and AI will allow them to cut thousands more.

Meanwhile, global economic analysis firm Oxford Economics estimates that automation will eliminate up to 20 million manufacturing jobs worldwide by 2030.

According to the 2019 Harvey Nash / KPMG CIO Survey, one third of CIOs say their companies plan to replace more than 20 percent of job roles with AI/automation within 5 years, although 69 percent also believe new job roles will compensate for those lost. Many agree that the new technology-powered job roles created will compensate for current jobs lost. This also, clearly, means different things to different people. A new data science role may sound great when you’re at college or, perhaps, already involved in digital data, but not so much if you’re a call centre agent with 10 years’ experience who’s just been let go.

So, to me at least, it seems disingenuous for technology leaders to hide behind technicalities, calling out warnings of job losses as a result of AI as being misinformed, unjustified or not presenting the entire picture. Cost savings are a powerful driver of AI adoption and, for many organisations, those savings will be made by cutting jobs. There’s room for the tech industry to be a little more honest about that.

This story first appeared on Linkedin.


December 22, 2019
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The answer to that probably depends on where you live, where you’re from and what you do for a living.

For those of us following developments in emerging technologies closely, it might seem like the past year has been the year in which news, discussion and debate about artificial intelligence (AI) has come to the fore. Deepfakes, AI surveillance, facial recognition, smart robotics, chatbots and social media bots have all been in the news, with some associated with some highly controversial issues. There’s also been plenty of debate about the impact of AI on political campaigning, data privacy, human rights, jobs, skills and, needless to say, the steady flow of industry messages about business efficiency.

However, the truth is that the amount of attention that AI has received depends very much on which part of the world you live in and what you do for a living. One of the most interesting takeaways from looking at AI-related searches on Google over the past year is that many global search volumes for terms related to artificial intelligence haven’t changed that much, but the differences in interest shown from country-to-country is striking.

No prizes for guessing that China is among the countries that shows the most interest in artificial intelligence. Google Trends awards a score of 62 out of 100 for its search volume, despite the fact that Google’s services remain blocked for most Internet users in the country.

India (45), Pakistan (65) and the UAE’s (53) volumes of Google searches for artificial intelligence all compare favourably with China’s high level of interest. Although, for some reason Google Trends credits Zimbabwe (100) with being the country most interested in AI.

In Europe, the United Kingdom (15) and Ireland (17) are among the countries most interested in artificial intelligence, roughly on a par with the Netherlands (18), Switzerland (15), US (17), Australia (19) and New Zealand (15), while behind Canada (20) and South Africa (27).

Meanwhile, much of the world seems to be focused on other things. For those populations on the other side of the great digital divide, that’s perfectly understandable. Most of South America, Africa and a significant area of Asia appears to remain a backwater in terms of interest in AI. However, quite a number of European countries appear below 10 on Google Trend’s 0 to 100 scale, including France, Italy, Spain, Poland and others.

So, as we eagerly consume news and comment about how AI is going to change our world and herald sweeping changes that affect every aspect of our lives, it’s perhaps as well to remember that these changes won’t be uniform across the globe and, for many, artificial intelligence is going to seem largely irrelevant for a long time to come.

Note; figures from Google Trends 0 to 100 scale for search volume seem to change frequently, but the ranking of high to low volumes remain largely the same.

This story first appeared on Linkedin


December 21, 2019
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The UAE’s all abuzz about AI! We’re exposed to more and more news about artificial intelligence, or AI, these days – from stories about talking robots to deepfake videos of celebrities and self-driving cars. AI has become a buzzword and popular interest has been steadily growing over the past few years. However, it would be a mistake to assume that everyone shares the same level of interest, learning about new technologies and increasing their understanding of AI at the same rate. After all, more than 40 percent of the world’s population isn’t even connected to the Internet yet.

Here in the UAE, the media seems to provide residents with a daily diet of news about artificial intelligence. This is no accident. Although it’s never a perfect replica, the media is a reflection of society and interest in AI-related topics has grown as business, government and education investment in AI has scaled-up.

Continue reading this story on The National