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AI slashes treatment time

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ANESHAN RAMALOO, Senior Business Solutions Manager at SAS, looks into how 2018 will see how technology trends will shape developments through the year.

It used to take months to be able to say whether a particular treatment for cancer was working – wasting precious time which might otherwise have been used to save a patient’s life. Now using analytics, we can predict that treatment’s effectiveness within days.

When addressing the question of what to expect in the tech space in 2018, there is no limit. AI is already doing things we never before would have dreamed possible. From writing music to creating videos, we are achieving milestones which we previously would have considered strictly human.

And yes, it is even helping to save lives.

One of the major forces driving the world of tech and AI is the increasing volume and availability of data. Think of devices like the Fitbit, which provides a wealth of data concerning your health, such as heart rate and sleeping patterns.

At the same time, we’ve developed technology that allows us to analyse more data than ever before. And thanks to a massive improvement in compute power, analytical solutions can now analyse these massive volumes of data at blistering speed. Data scientists can develop machine learning models in minutes, which can enable businesses to deliver results quickly.

A great example of the technology that allows this is SAS VIYA, which is an end-to-end analytical platform. The platform fuels the analytics life cycle from data preparation to model development and finally deployment. This is all done in a single interface

One feature of the SAS platform that I’m particularly excited about is the ability to analyse images. This capability is already helping when it comes to wildlife conservation. In the past game rangers had to manually take pictures of particular species of animals and tag them. While this wasn’t part of their core focus, it absorbed a great deal of time. But using SAS’s new technology they can simply take the picture and allow the AI to classify, not only the species of the animal, but other helpful traits such as the sex as well. At the end of the day this frees up the rangers to tackle more important tasks.

More accurate predictions

While the algorithms used in machine learning have been relatively unchanged for decades, we are now seeing the emergence of new algorithms, such as extreme gradient boosting, which have proven to be very successful in data mining competitions like Kaggle. Extreme gradient boosting is a significant development in analytics because it generalises well, enabling more accurate predictions.

While we’ve been drawing on structured data sources like transactional data for some time, no-one has really been tapping into unstructured data sources. For example, customer complaints, reviews and other text data sources.

But these two sources when combined together can be extremely powerful. Say, for instance, you wanted to develop a customer churn prediction model. By including data sources like customer complaints, as opposed to just structured and traditional data sources, you can develop a model that is more accurate at predicting churn.

Deep learning has created a lot of hype, and for good reason.

It is a type of machine learning, based on a set of algorithms that model high-level abstractions in data, by using multiple processing layers with complex structures.Instead of organising data to run through predefined equations, deep learning sets up basic parameters about the data and trains the computer to learn on its own by recognising patterns using many layers of processing. This means it can train computers to perform human-like tasks, such as recognising speech, identifying images or making predictions.

Deep learning is already being used to make significant inroads into areas such as image recognition, fraud detection and the highly regulated credit risk modelling. In fact, SAS is currently working with credit bureau, Equifax, using deep learning techniques in credit risk modelling. The results are promising as the accuracy of the models has improved traditional techniques.

Bots that understand emotion

Another exciting space in AI is bot technology. Chatbots are programmes that use natural language processing and AI to create conversations between machines and humans.

Instead of having a human respond to complaints or queries, this can now be done by a chatbot to save time and money on mundane and repetitive tasks. For example, responses to queries on bank accounts. Some banks are using bots to advise customers on financial advice and investments.

Until now, AI has generally been designed to do specific things like fraud detection. The human ability to perform tasks has always been greater than machines as we can generalise and perform a much wider set of functions.

But incredibly we’re starting to see AI train itself to learn.

In 2016 Google created a programme called AlphaGo. It was capable of beating even the most skilled human players at the ancient Chinese strategy game, Go – considered to be one of the most complicated games on earth.

But this was taken a step further through the creation of AlphaGo Zero, a programme provided with a very limited amount of training data. The idea was that it would learn by playing against itself. Over a period of time, AlphaGo Zero beat AlphaGo.

Essentially it had taught itself to think.

On the threshold of a future in which machines can think and learn: as we step into 2018, one could say nothing is impossible.

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AppDate: uKheshe bring banking to the masses

In his apps roundup, SEAN BACHER highlights uKheshe, FNB’s banking app with its will feature, Split Payments, Momentum Safety Alert and Fleetonomy.

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uKheshe micro transaction platform

Financial inclusion took another step forward as local start-up, uKheshe, South Africa’s cheapest and most convenient QR cash card and micro transaction platform, won the 2019 Global Fintech Hackcelerator @ Southern Africa competition. 

“The issue of financial inclusion is a global one and the more we can do to uplift the unbanked and under banked, the healthier their respective economies will become,” says Clayton Hayward, co-founder, uKheshe.

While 1.2 billion people have opened a financial account since 2011, there is still an estimated 1.7 billion adults worldwide (or 31% of adults) who don’t have a basic transaction account.  Globally, two-thirds of adults without an account cite a lack of money as a key reason, which implies that financial services aren’t yet affordable or designed to fit low-income users.

To find out more about uKheshe click here

FNB’s banking app with will feature

First National Bank now lets its customers draw up their own wills via the FNB Online Banking platform at no cost. To date, the bank has seen a significant increase in the number of clients who drafted their own wills online, with over 52 000 clients already accessing the functionality.

Approximately 80% of South Africans don’t have a valid will in place; and many people believe that it’s a need only when they get older, or later in life. 

“Whilst the digital process is simple and easy to use, the solution also helps with a dedicated client support centre should clients need further assistance or advice regarding the drafting of their wills,” says Johan Strydom, Growth Head, FNB Wealth and Investments. “The solution aims to simplify the process and allows customers to easily draft a will online anytime and at any place, at no cost. In addition, FNB will keep your original will in safe custody at no extra cost.”

Platform: Android and iOS

Expect to pay: A free download

Stockists: Available the FNB app which can be be downloaded here.

Split Payments

PayFast has launched Split Payments, a South African-first that instantly splits a portion of an online payment with a third party. The service is designed to facilitate fast, safe payments for platform-based businesses, including online marketplaces.

For those who run a marketplace that brings together multiple sellers or merchants looking for new sales channels, Split Payments addresses payment headaches with a simple API integration.

Consumers are used to engaging with large global transactional platforms such as AirBnB, Uber, and Amazon. The benefits and extended reach of these types of platforms are catching on locally, and organisations like estate agency groups and even community marketplaces are setting up digital trading platforms.

The app allows businesses to instantly split out commission, membership or listing fees, when a payment is made via one of its supported payment methods.

For each online payment received  the business can determine what the split is, either a fixed amount, a percentage, or a combination of both. Custom recurring payment integration, such as subscriptions payments, can also be split automatically.

Platform: iOS and Android

Expect to pay: A free download

Stockists: Download Split Payments here

Read more about Momentum’s new Safety Alert app and Fleetonomy.

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Why 4G is still a thing

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Even with the 5G era already upon us, investment in 4G/LTE networks is still vitally important for operators in sub-Saharan Africa and must remain a core focus of network construction for the immediate future. This is according to David Chen, Vice-President, Huawei Southern Africa. 

“Currently, the mobile broadband penetration rate in Africa is only 47%, while 4G penetration rate is merely 10%,” Chen said.

“Insufficient coverage causes LTE users to fall back to the 2G or 3G networks, resulting in significant decline in user experience. It also leads to congestion on the 2G and 3G networks and makes it difficult to release spectrum used by 2G and 3G.”

Chen said that LTE and 5G complement each other and are evolving in parallel. In the next few years, 5G will mainly be used in more industrial communications.

LTE will remain the primary choice for global mobile communications through 2025. It will form the basic layer of national networks, especially when it comes to the mobile broadband access.

“It will take a long time for 5G to provide nationwide continuous coverage. Before that, enhanced LTE networks can guarantee optimal user experience for 5G users, including services such as VR, AR, and cloud gaming,” said Chen.

He said that it is important for operators to invest in 4G to secure future growth, as it is estimated that there will be an additional 80 million LTE users in sub-Saharan Africa by 2025.

Driven by this growth, LTE traffic in sub-Saharan Africa will increase by a factor of 8.8. By 2025, about 80% of all data traffic in the region will be over an LTE network.

LTE will also be the main source of future revenue for operators.

“According to GSMA Intelligence, 2G and 3G users in sub-Saharan Africa will gradually migrate to 4G,” said Chen. “By 2025, the proportion of 2G users will drop from 46% to 12%.”

Part of the reason for the migration to 4G is because the ecosystem is mature.

“The price of feature phones supporting VoLTE in the sub-Saharan Africa market has been as low as $25,” Chen said.

Since 5G equipment is already available, there is an opportunity for operators to build out their 4G networks while ensuring that they can evolve to 5G in future.

Chen offered the following tips to operators to ensure they are ready for 5G:

  • All future equipment installations should be 5G ready, allowing easy upgrades to 5G through software updates.
  • Software should support multi-standard spectrum sharing to improve spectrum efficiency, and to allow the smooth migration of 2G and 3G users.
  • Networks must support 4G and 5G coordination, in terms of spectrum, operation and maintenance. This will ensure that users have a consistent experience as we enter the 5G era.
  • The value of existing ICT infrastructure, such as base station sites, must be maximised to avoid overlapping services and wasted resources. This would mean boosting the capacity and coverage of every station for optimum efficiency.
  • Carriers should explore the business case for all possible 5G innovations when building 4G networks, and not just embrace 5G for its own sake. This will mean building business models around IoT, video, live broadcast, augmented reality, and virtual reality.
  • It is important that operators build partnerships with providers that can support the ongoing spectrum evolution with fast site upgrades and large-capacity solutions. The idea is to maximise the value of 4G networks, and smoothly evolve to 5G without unnecessary infrastructure investment.

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