Frontier Capital launches Sri Lanka’s first AI ChatBot for tuk tuk industry

… leading Artificial Intelligence (AI) based Super Computer IBM Watson’s technology along with the support of English, Sinhala and Tamil languages.

Emerging investment banker Frontier Capital Partners – that transferred some of the country’s prominent group companies to conglomeration in the post war era from 2009 to 2019 in a decade – has recently released a newly developed advanced Artificial Intelligence (AI) ChatBot assistant titled ‘TukBoy’.

According to company officials, the ‘TukBoy’ Chatbot has been developed using world’s leading Artificial Intelligence (AI) based Super Computer IBM Watson’s technology along with the support of English, Sinhala and Tamil languages.

“As a person at my age who has already seen the world transforming with technology in the last five decades so far, only a few millionaires or billionaires as investors will look at the future and current global trends and then encourage youngsters in an economy to come up with new products to disrupt the conventional business landscape of an emerging economy by taking the technology to poor, middle class and the emerging middle class,” Founder and Managing Partner of Frontier Capital Partners Nishan Sumanadeera said in a media announcement, on the new product’s investment logic of his company.

“Carefully studying the future trends of the world and other countries and the potential of AI technology we took a step forward in investing in the AI based Virtual Assistant industry or the famous Chatbot industry just few months ago. Now we have come up with a AI Chatbot product that caters to over 22 million commuters in Sri Lanka in all three languages,” Mr. Sumanadeera said, adding: “We further intend to develop this in many languages as possible in time to come. I hope this will help Sri Lanka’s future generations and its people as well as commuters or even tourists visiting Sri Lanka on making proper and efficient decisions on affordable and convenient transportation solutions to reach their destination.”

He said if one takes Sri Lanka’s economy that is worth US$87 billion or Rs. 13 trillion GDP, ‘our 1 million tuk tuk drivers’ alone from the middle class control 10 per cent of the economy with an income generation of over $8 billion, Rs. 1.3 trillion or Rs. 1,300 billion every year and they pay direct and indirect taxes amounting to over Rs. 60,000 every month from their earnings worth over Rs. 100,000 a month.

Mr. Sumanadeera further pointed out that he and his team invested over Rs. 150 million, four years ago in a technology based transport company – Tuk Tuk in Sri Lanka which has now grown to over Rs. 1 billion in value giving life and earning potential for over hundreds of thousands among the one million Tuk Tuk drivers and 4 million motor cyclists in the country apart from other vehicle owners and drivers.

Artificial intelligence (AI) is the simulation of human intelligence processes by machines, especially computer systems. Artificial intelligence (AI) also can automate a large number of processes and increasingly, the technology is streamlining human intervention between clients and systems.

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IoT Cloud Market Development, Market Trends, Key Driven Factors, Segmentation and Forecast to …

Top Key Players Covered in this report: Intel Corporation,Ayla Networks,Artik Cloud,AWS IOT,GE Predix,Google,Microsoft,IBM Watson IoT,ThingWorx …

IoT Cloud

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Top Key Players Covered in this report: Intel Corporation,Ayla Networks,Artik Cloud,AWS IOT,GE Predix,Google,Microsoft,IBM Watson IoT,ThingWorx,Salesforce IoT Cloud,Telit DeviceWise,Xively,Zebra Zatar Cloud,WebNMS,Oracle

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  • Information Processing
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    In this study, the years considered to estimate the market size of IoT Cloud are as follows:

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    Technological revolution and the jobs of tomorrow

    … cities, the Internet of Things and Internet of Everything, Artificial Intelligence (AI) and Machine Learning, Big Data analytics, Blockchain and others.

    Today’s technological revolution has given rise to a digital economy, which includes the Internet (fixed and mobile broadband), cloud computing, smartphones, smart cities, the Internet of Things and Internet of Everything, Artificial Intelligence (AI) and Machine Learning, Big Data analytics, Blockchain and others. History has already witnessed industrial revolutions associated with technology—the first one was driven by steam, the second by electricity, the third by digital revolution, and the fourth by artificial intelligence.

    The ICT infrastructure expansion, and Internet and mobile phone access empower people to harness their creativity and ingenuity and allow much more information to be shared than any other means of communication had. The amount of digital data has doubled every three years since 2000, and today less than 2 percent of stored information is offline. In 2018 there were 4.7 billion Internet users, 7.9 billion mobile subscriptions and over 5 billion people had mobile subscriptions (see figure). By 2025 the number of unique mobile subscribers will reach 5.9 billion, equivalent to 71 percent of the world’s population.

    The impact of technology on the economy is undeniable. Global high-technology exports have more than doubled in the last 15 years, from USD 987 billion in 1999 to USD 2,147 billion in 2014. In 2016, global exports of ICT services increased by 5 percent, from USD 470 billion to USD 493 billion. Artificial Intelligence, robotics and other forms of smart automation could add an estimated USD 15.7 trillion to the global economy by 2030.

    People with the skills and resources to use technology and create value can thrive in today’s digital world. But the digital economy presents skill-biased technical change: the idea that the net effect of new technologies reduces demand for less skilled workers while increasing demand for highly skilled ones. By definition, such change favours people with higher human capital, polarising work opportunities.

    Globally, 133 million new high-skill jobs are estimated to emerge by 2022, but 75 million jobs may be displaced by automation and new technologies. Among the new roles that are expected to experience increasing demand are Data Scientists and Analysts, E-commerce and Social Media Specialists, Training and Development, Innovation Managers, AI and Machine Learning Specialists, Big Data Specialists, Information Security Analysts, and Process Automation Experts. By mid-2030s an estimated 30 percent of jobs and 44 percent workers with low-skills and education will be at potential risk of automation


    In the digital economy the nature of work has changed with the introduction of new ways working including flexible work, new ways of communicating, new products and new demands for skills. New technologies are also reinforcing and deepening previous trends in economic globalisation, bringing workers and businesses into a global network through outsourcing and global value chains. These processes are reshaping work and testing national and international policies.

    In many areas of work, the labour market is now global. Multinational corporations have access to labour around the world, and workers must compete on a global scale for jobs. Digital technologies heighten the competition by removing geographical barriers between workers and work demands—in many cases it is not even necessary for a company to move physically or for a worker to migrate. The work connection can be made through the Internet or mobile phones. That there is a global labour surplus makes competition among workers even fiercer.


    Consumer demands have also evolved with expectations for low-priced consumer goods, for fresh and new products and for digital access to products from around the world. This has increased competition for companies to provide cheap, innovative products that cater to rapidly changing trends, all the more so as digital technologies allow companies immediate and constant access to information on consumer habits and interests. A flexible approach to production and cost cutting, including labour costs, has been the producer response. Low labour costs and flexible commitments to workers allow companies to quickly and efficiently respond to shifts in consumer needs and in the location of demand.

    For workers these trends are aligning to create a world of work where creativity, skills, ingenuity and flexibility are critical. But even for those who are well positioned to compete in the emerging work system, security is lacking. Only one in four people worldwide works with a full-time, permanent contract; for those in wage and salaried employment, three out of five workers are in part-time or temporary work. With just 30 percent of the world’s labour force covered by unemployment protection, a world of work that values flexibility may be a challenge to the stability of worker’s lives.

    The digital economy may be associated with high-tech industries, but it is also influencing a whole range of more informal activities from agriculture to street vending. Some may be directly related to mobile devices. In Ethiopia farmers use mobile phones to check coffee prices. In some villages in Bangladesh female entrepreneurs use their phones to provide paid services for neighbours. In India farmers and fishers who track weather conditions and compare wholesale prices through mobile phones increased their profits by 8 percent, and better access to information resulted in a 4 percent drop in prices for consumers. In countries as diverse as Malaysia, Mexico and Morocco, small and medium-sized enterprises with Internet access averaged 11 percent productivity gain by reducing transaction costs and barriers to market entry.

    The Internet and mobile technologies create new jobs directly through demand for labour from new technology-based enterprises and indirectly through demand from the wider ecosystem of companies created to support technology-based enterprises, such as network installation, maintenance providers and providers of skill-based services such as advertising and accounting. Mobile phones are extending the reach of agricultural extension services. One application developed in Kenya is iCow, which helps cattle farmers maximise breeding potential by tracking their animals’ fertility cycles. Mobile services can match employees with vacancies. In South Africa the extension of mobile phone coverage is associated with a 15 percent increase in employment, mostly for women. Many job-matching companies allow jobseekers to have real-time information on vacancies, while helping employers extend recruitment systems to entry-level and low-skill jobs. Voice messages are particularly useful for recruiting jobseekers who have difficulty in reading and writing.



    With the extension of the Internet to households it has become possible for individuals to provide business-process services from their homes. This often involves specialised white-collar skills such as computer programming, copywriting and back-office legal tasks. These tasks, generally from firms in developed countries, are carried out by people in such developing countries as Bangladesh, India and the Philippines.

    Much of this business is mediated by companies that coordinate freelancers with small and medium-sized firms that require business services. Coordination companies collect a commission from the freelancer, but often charge no fee to those offering the jobs. Most of this work has been done in urban areas, but there are now efforts to extend the opportunities to more deprived areas through “impact sourcing.” This would create potential for more rural employment.


    Another emerging trend with the potential to reshape work is the sharing economy. It is now also possible to match demand and supply peer-to-peer. Alternatives to taxis allow people to use their own cars to provide ride services, blurring the distinction between professional drivers and those who have a spare seat in their private car. Technology is also allowing traditional taxi drivers to work more efficiently finding customers via online services such as Uber, Careem, which operates in the Middle East or GrabTaxi, which operates in several countries in South-East Asia. The same principle is being used by auto-rickshaw drivers in India via mGaadi. Other companies allow people to rent out accommodation in their private homes (such as Airbnb).

    These arrangements allow people to make better use of capital assets such as cars or homes. But they can also replace more traditional jobs if they compete with conventional hotels and transport services, such as taxi drivers and hotel staff, who are generally low skilled and poorly paid. There are also new challenges to regulating services, ensuring consistent quality and protecting consumers. In some ways the professionalisation of work is reversing.


    Digital technology has made it easier to start a business, an attractive option for young people, some of whom are leaving fairly prestigious jobs to do just that. When individuals have identified a good idea in the course of their work and want to pursue it on their own, they have more tools at their disposal to support their entrepreneurial efforts. Indeed, with over USD 140 billion invested, global investments in start-ups hit a 10-year high in 2017. A recent estimate indicates that in countries with 73 percent of the world’s population, there are over 450 million entrepreneurs today, up from 400 million in 2011.

    These (often young) people see entrepreneurship a viable alternative to traditional jobs and as a means to pursue their dreams. Start-ups are taking root in both developed and developing countries. Asia is embracing them quite rapidly. Young people see a lot of opportunities there, bolstered by financial technology and big data. Yet start-ups face challenges. Access to capital is one, ideas that are sustainable another. In developing countries weaker legal institutions pose a problem. And long-term viability is their largest challenge.


    Some fear job losses through automation. Indeed, many jobs are already disappearing, e.g. the work of telemarketers, order clerks, loan officers, photographic process workers, etc. Broad swatches of middle management risk being eliminated. Some estimates indicate that by 2025, almost 50 percent of today’s occupations could become redundant.

    But other argue that because of technological revolution and the changing nature of the economy, new activities would emerge. And computers are far from being able to use creativity, intuitions, persuasion and imaginative problem solving—in a nutshell, human ingenuity. New jobs will require creativity, intelligence, social skills and the ability to exploit AI. Some argue that for “children who have not been born yet, jobs have not been created yet.”

    There has never been a better time to be a worker with special skills and the right education, because these people can use technology to create and capture value. But there has never been a worse time to be a worker with only ordinary skills and abilities, because computers, robotics and digital technologies are acquiring those skills and abilities at an extraordinary rate.

    The digital economy and the Fourth Industrial Revolution bring the most apparent changes in our current lives. Fast-paced digital innovations have created unprecedented opportunities for enhancing human capabilities and harnessing human capital across the globe. But at the same time, there are risks in terms of work and workers through unintended consequences of technological revolution. It is a question of balance between opportunities and risks. Furthermore, there will be winners and losers from the phenomenon and that would be a crucial driver of inequalities in a society.

    Technological revolution is neither passive nor benign, when it comes to having impacts on work and workers. It would require managing the process through strategies, policies and institutions, bot nationally and globally, in a balanced way so that the benefits are optimised in human lives. The role of policy in equalising the life chances of people to have decent work has never been more important.

    Selim Jahan is Director, Human Development Report Office, UNDP.

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    Elon Musk-backed OpenAI Program Is ‘Too Dangerous’

    In a report via SkyNews, however, the Elon Musk-backed OpenAI team has revealed that their current system is ‘too dangerous’ to ever be released.

    Elon Musk and 116 Tech Experts Call for Autonomous Weapons Ban

    OpenAI Is ‘Too Dangerous’ To Release

    AI development is currently one of the biggest research industries in the world. Public opinion, however, seems to largely be divided into two camps. One suggests that it will provide the means of propagating the survival and betterment of the human race while others suggest that it will be a major factor (if not the factor) in our eradication.

    In a report via SkyNews, however, the Elon Musk-backed OpenAI team has revealed that their current system is ‘too dangerous’ to ever be released.

    Impersonation And Fake News!

    Fortunately, it isn’t too dangerous because it has a pathological hatred of humans. The team believes that the current system is able to really effective at being able to adapt to situations. As such, it is feared that such a program could easily be used to create fake new and even potentially replicate the writing styles of notable figures.

    In a statement issued by OpenAI, the team has said that: “due to our concerns about malicious applications of the technology”. They added: “The model is chameleon-like, it adapts to the style and content of the conditioning text.”


    The project was initially founded in 2015 and received a $1bn backing from Tesla head Elon Musk. It should be noted that a watered-down version of the GPT-2 algorithm has been released. The team has, however, said that they will withhold the full version. This, based on their aforementioned fears of it being capable of producing highly authentic looking false information.

    As far as I’m concerned, as long as it doesn’t want to kill all human, I’m not too worried.

    What do you think? Do you think AI like this poses a genuine threat? Is this just hyperbole to create attention? – Let us know in the comments!

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    Artificial intelligence can make up news stories from handful of words

    OpenAI, an artificial intelligence research group co-founded by billionaire Elon Musk, has demonstrated a piece of software that can produce …

    OpenAI, an artificial intelligence research group co-founded by billionaire Elon Musk, has demonstrated a piece of software that can produce authentic-looking fake news articles after being given just a few pieces of information.

    In an example published Thursday by OpenAI, the system was given some sample text: “A train carriage containing controlled nuclear materials was stolen in Cincinnati today. Its whereabout are unknown.” From this, the software was able to generate a convincing seven-paragraph news story, including quotes from government officials, with the only caveat being that it was entirely untrue.

    “The texts that they are able to generate from prompts are fairly stunning,” said Sam Bowman, a computer scientist at New York University who specializes in natural language processing and who was not involved in the OpenAI project, but was briefed on it. “It’s able to do things that are qualitatively much more sophisticated than anything we’ve seen before.”

    OpenAI is aware of the concerns around fake news, said Jack Clark, the organization’s policy director. “One of the not-so-good purposes would be disinformation because it can produce things that sound coherent but which are not accurate,” he said.

    As a precaution, OpenAI decided not to publish or release the most sophisticated versions of its software. It has, however, created a tool that lets policymakers, journalists, writers and artists experiment with the algorithm to see what kind of text it can generate and what other sorts of tasks it can perform.

    The potential for software to be able to be able to near-instantly create fake news articles comes during global concerns over technology’s role in the spread of disinformation. European regulators have threatened action if tech firms don’t do more to prevent their products helping sway voters, and Facebook says it has been working since the 2016 U.S. election to try to contain disinformation on its platform.

    Clark and Bowman both said that, for now, the system’s abilities are not consistent enough to pose an immediate threat. “This is not a shovel-ready technology today, and that’s a good thing,” Clark said.

    Unveiled in a paper and a blog post Thursday, OpenAI’s creation is trained for a task known as language modeling, which involves predicting the next word of a piece of text based on knowledge of all previous words, similar to how auto-complete works when typing an email on a mobile phone. It can also be used for translation and open-ended question answering.

    One potential use is to help creative writers generate ideas or dialogue, said Jeff Wu, a researcher at OpenAI who worked on the project. Others include checking for grammatical errors in texts, or hunting for bugs in software code. The system could be fine-tuned to summarize text for corporate or government decision-makers further in the future, he said.

    In the past year, researchers have made a number of sudden leaps in language processing. In November, Google unveiled a similarly multitalented algorithm called BERT, which can understand and answer questions. Earlier, the Allen Institute for Artificial Intelligence, a research lab in Seattle, achieved landmark results in natural language processing with an algorithm called Elmo. Bowman said BERT and Elmo were “the most impactful development” in the field in the past five years. By contrast, he said OpenAI’s new algorithm was “significant” but not as revolutionary as BERT.

    Although co-founded by Musk, he stepped down from OpenAI’s board last year. He’d helped start the nonprofit research organization in 2016 along with Sam Altman and Jessica Livingston, the Silicon Valley entrepreneurs behind startup incubator Y Combinator. Other early backers of OpenAI include Peter Thiel and Reid Hoffman.

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