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Machine learning will go big and small in 2017

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Machine learning is an emerging trend in South Africa, with demand for data scientists rising and university programmes incorporating it in study programmes. DataProphet MD, FRANS CRONJE, highlights South Africa’s top machine learning trends.

Machine learning as a subset of Artificial Intelligence is an emerging trend in South Africa, with demand for data scientists rising sharply and university programmes incorporating the discipline in study programmes. However, still a long way behind international counterparts, South African machine learning trends for 2017 place focus on our unique and emerging market.

The machine learning sector is really beginning to take form in South Africa with various start-ups taking off and entering the international scene.

At DataProphet, we specialise in the application of machine learning algorithms to provide actionable solutions for a variety of industries. Having built a presence in the U.S. we have experienced the difference in industry trends first hand.

South Africa’s diverse range of spoken languages makes it difficult to use existing personal assistants, chatbots and speech recognition tools which were designed solely for the English language. This is just one example of how approaches to machine learning need to be tailored to the local market.

In addition, inequality in terms of income and high levels of poverty means that fewer people have the means to take part in the growing Internet of Things (IoT) trend. This is also influenced by lower levels of affordable smartphone, computer and data access.

Fortunately, South African companies – not generally known for their customer care – are starting to wake up to the possibilities of efficient customer relationship management (CRM) through bespoke products, targeted marketing and improved customer service.

Our top four trends for machine learning in South Africa for 2017 are:

1. Big Data

Until recently, there were only a few companies who had the expertise needed to handle large datasets. However, as Big Data ‘know-how’ continues to spread across local industries, organisations will begin to see the benefits of uncovering new insights and opportunities presented through previously untouched data.

One way of using this data which has seen incredible growth is in segmentation – distinguishing customers based on their behaviour. Vodacom’s ‘Just 4 You’ campaign, for example, enabled businesses to better understand their needs and provide a personalised experience while also improving profits.

2. Chatbots

In a country where many digital and technological services are limited, chatbots are set to see steady increase in use cases as the technology graduates out of a being seen as ‘gimmicky’. Their return will see an increase in assistance with legal and financial advice, medical diagnosis and customer support.

ABSA has already introduced such a chatbot in the market, increasing the ways in which the bank engages with customers.

3. Computer Vision

The near-human level performance of computer vision will definitely be a trend to watch out for in 2017. For example, useful in the South African retail industry, smart cameras may be able to identify when a shoplifting or a break-in occurs and then notify security services.

4. Autonomous Worker Drones

Lastly, while smaller and far less technologically advanced drones made it onto the wishlists of teenagers over the festive season, advanced drone-mounted cameras are likely to gain popularity in South Africa this year. The efficiency of such technology is undeniable with the ability to battle rhino poachers by scanning large areas and reporting on the whereabouts of wildlife and people.

Beyond 2017, industry players may also want to keep the below considerations in mind.

  • Data is a gold mine

Keep in mind that while you may not be taking full advantage of your data, others are going to be efficiently using theirs and will therefore have a competitive edge over you. Machine learning has the ability to disrupt the market; driverless cars are just one example of this. Keeping up-to-date and adapting with the times is vital to avoid becoming obsolete.

  • Not all solutions are equal

Off-the-shelf ‘black-box’ machine learning models and analysis tools often hide a myriad of algorithmic design decisions in exchange for usability resulting in the most common for all scenarios but also non-optimal solution for all scenarios. The use of such solutions can result in sub-optimal model performance or unintended, negative consequences. Many of the very best machine learning products are open-source and open-data which allow for the establishment of social-good machine learning applications that many may not have even considered yet.

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Opera launches built-in VPN on Android browser

Opera has released a new version of its mobile browser, which features a built-in virtual private network service.

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Opera has released a new version of its mobile browser, Opera for Android 51, which features a built-in VPN (virtual private network) service.

A VPN allows users to create a secure connection to a public network, and is particularly useful if users are unsure of the security levels of the public networks that they use often.

The new VPN in Opera for Android 51 is free, unlimited and easy to use. When enabled, it gives users greater control of their online privacy and improves online security, especially when connecting to public Wi-Fi hotspots such as coffee shops, airports and hotels. The VPN will encrypt Internet traffic into and out of their mobile devices, which reduces the risk of malicious third parties collecting sensitive information.

“There are already more than 650 million people using VPN services globally. With Opera, any Android user can now enjoy a free and no-log service that enhances online privacy and improves security,” said Peter Wallman, SVP Opera Browser for Android.

When users enable the VPN included in Opera for Android 51, they create a private and encrypted connection between their mobile device and a remote VPN server, using strong 256-bit encryption algorithms. When enabled, the VPN hides the user’s physical location, making it difficult to track their activities on the internet.

The browser VPN service is also a no-log service, which means that the VPN servers do not log and retain any activity data, all to protect users privacy.

“Users are exposed to so many security risks when they connect to public Wi-Fi hotspots without a VPN,” said Wallman. “Enabling Opera VPN means that users makes it difficult for third parties to steal information, and users can avoid being tracked. Users no longer need to question if or how they can protect their personal information in these situations.”

According to a report by the Global World Index in 2018, the use of VPNs on mobile devices is rising. More than 42 percent of VPN users on mobile devices use VPN on a daily basis, and 35 percent of VPN users on computers use VPN daily.

The report also shows that South African VPN users said that their main reason for using a VPN service is to remain anonymous while they are online.

“Young people in particular are concerned about their online privacy as they increasingly live their lives online,” said Wallman. “Opera for Android 51 makes it easy to benefit from the security and anonymity of VPN , especially for those may not be aware of how to set these up.”

Setting up the Opera VPN is simple. Users just tap on the browser settings, go to VPN and enable the feature according to their preference. They can also select the region of their choice.

The built-in VPN is free, which means that users don’t need to download additional apps on their smartphones or pay additional fees as they would for other private VPN services. With no sign-in process, users don’t need to log in every time they want to use it.

Opera for Android is available for download in Google Play. The rollout of the new version of Opera for Android 51 will be done gradually per region.

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Future of the car is here

Three new cars, with vastly different price-tags, reveal the arrival of the future of wheels, writes ARTHUR GOLDSTUCK

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Just a few months ago, it was easy to argue that the car of the future was still a long way off, at least in South Africa. But a series of recent car launches have brought the high-tech vehicle to the fore in startling ways.

The Jaguar i-Pace electric vehicle (EV), BMW 330i and the Datsun Go have little in common, aside from representing an almost complete spectrum of car prices on the local market. Their tags start, respectively, at R1.7-million, R650 000 and R150 000.

Such a widely disparate trio of vehicles do not exactly come together to point to the future. Rather, they represent different futures for different segments of the market. But they also reveal what we can expect to become standard in most vehicles produced in the 2020s.

Jaguar i-Pace

The i-Pace may be out of reach of most South Africans, but it ushers in two advances that will resonate throughout the EV market as it welcomes new and more affordable cars. It is the first electric vehicle in South Africa to beat the bugbear of range anxiety.

Unlike the pioneering “old” Nissan Leaf, which had a range of up to about 150km, and did not lend itself to long distance travel, the i-Pace has a 470km range, bringing it within shouting distance of fuel-powered vehicles. A trip from Johannesburg to Durban, for example, would need just one recharge along the way.

And that brings in the other major advance: the i-Pace is the first EV launched in South Africa together with a rapid public charging network on major routes. It also comes with a home charging kit, which means the end of filling up at petrol stations.

The Jaguar i-Pace dispels one further myth about EVs: that they don’t have much power under the hood. A test drive around Gauteng revealed not only a gutsy engine, but acceleration on a par with anything in its class, and enough horsepower to enhance the safety of almost any overtaking situation.

Specs for the Jaguar i-Pace include:

  • All-wheel drive
  • Twin motors with a combined 294kW and 696Nm
  • 0-100km/h in 4.8s
  • 90kWh Lithium-ion battery, delivering up to 470km range
  • Eight-year/160 000km battery warranty
  • Two-year/34 000km service intervals

Click here to read about BMW’s self-driving technology, and how Datsun makes smart technology affordable.

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