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.
Legion gets a pro makeover
Lenovo’s latest Legion gaming laptop, the Y530, pulls out all the stops to deliver a sleek looking computer at a lower price point, writes BRYAN TURNER
Gaming laptops have become synonymous with thick bodies, loud fans, and rainbow lights. Lenovo’s latest gaming laptop is here to change that.
The unit we reviewed housed an Intel Core i7-8750H, with an Nvidia GeForce GTX 1060 GPU. It featured dual storage, one bay fitted with a Samsung 256GB NVMe SSD and the other with a 1TB HDD.
The latest addition to the Legion lineup has become far more professional-looking, compared to the previous generation Y520. This trend is becoming more prevalent in the gaming laptop market and appeals to those who want to use a single device for work and play. Instead of sporting flashy colours, Lenovo has opted for an all-black computer body and a monochromatic, white light scheme.
The laptop features an all-metal body with sharp edges and comes in at just under 24mm thick. Lenovo opted to make the Y530’s screen lid a little shorter than the bottom half of the laptop, which allowed for more goodies to be packed in the unit while still keeping it thin. The lid of the laptop features Legion branding that’s subtly engraved in the metal and aligned to the side. It also features a white light in the O of Legion that glows when the computer is in use.
The extra bit of the laptop body facilitates better cooling. Lenovo has upgraded its Legion fan system from the previous generation. For passive cooling, a type of cooling that relies on the body’s build instead of the fans, it handles regular office use without starting up the fans. A gaming laptop with good passive cooling is rare to find and Lenovo has shown that it can be achieved with a good build.
The internal fans start when gaming, as one would expect. They are about as loud as other gaming laptops, but this won’t be a problem for gamers who use headsets.
Click here to read about the screen quality, and how it performs in-game.
Serious about security? Time to talk ISO 20000
By EDWARD CARBUTT, executive director at Marval Africa
The looming Protection of Personal Information (PoPI) Act in South Africa and the introduction of the General Data Protection Regulation (GDPR) in the European Union (EU) have brought information security to the fore for many organisations. This in addition to the ISO 27001 standard that needs to be adhered to in order to assist the protection of information has caused organisations to scramble and ensure their information security measures are in line with regulatory requirements.
However, few businesses know or realise that if they are already ISO 20000 certified and follow Information Technology Infrastructure Library’s (ITIL) best practices they are effectively positioning themselves with other regulatory standards such as ISO 27001. In doing so, organisations are able to decrease the effort and time taken to adhere to the policies of this security standard.
ISO 20000, ITSM and ITIL – Where does ISO 27001 fit in?
ISO 20000 is the international standard for IT service management (ITSM) and reflects a business’s ability to adhere to best practice guidelines contained within the ITIL frameworks.
ISO 20000 is process-based, it tackles many of the same topics as ISO 27001, such as incident management, problem management, change control and risk management. It’s therefore clear that if security forms part of ITSM’s outcomes, it should already be taken care of… So, why aren’t more businesses looking towards ISO 20000 to assist them in becoming ISO 27001 compliant?
The link to information security compliance
Information security management is a process that runs across the ITIL service life cycle interacting with all other processes in the framework. It is one of the key aspects of the ‘warranty of the service’, managed within the Service Level Agreement (SLA). The focus is ensuring that the quality of services produces the desired business value.
So, how are these standards different?
Even though ISO 20000 and ISO 27001 have many similarities and elements in common, there are still many differences. Organisations should take cognisance that ISO 20000 considers risk as one of the building elements of ITSM, but the standard is still service-based. Conversely, ISO 27001 is completely risk management-based and has risk management at its foundation whereas ISO 20000 encompasses much more
Why ISO 20000?
Organisations should ask themselves how they will derive value from ISO 20000. In Short, the ISO 20000 certification gives ITIL ‘teeth’. ITIL is not prescriptive, it is difficult to maintain momentum without adequate governance controls, however – ISO 20000 is. ITIL does not insist on continual service improvement – ISO 20000 does. In addition, ITIL does not insist on evidence to prove quality and progress – ISO 20000 does. ITIL is not being demanded by business – governance controls, auditability & agility are. This certification verifies an organisation’s ability to deliver ITSM within ITIL standards.
Ensuring ISO 20000 compliance provides peace of mind and shortens the journey to achieving other certifications, such as ISO 27001 compliance.